From 487b3dd0d3f9e332496406309bf1eaf646d34d61 Mon Sep 17 00:00:00 2001 From: Zeref996 <825276847@qq.com> Date: Mon, 27 Apr 2026 05:32:00 +0000 Subject: [PATCH 1/4] fix paddle.tensor.ops cases --- .../EfficientNet_EfficientNetB0/SIR_10.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_104.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_108.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_109.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_110.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_114.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_115.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_116.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_120.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_121.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_126.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_128.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_129.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_133.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_134.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_142.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_147.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_151.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_153.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_157.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_159.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_163.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_169.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_172.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_176.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_185.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_190.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_194.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_196.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_197.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_199.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_200.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_201.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_202.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_203.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_24.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_34.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_37.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_40.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_50.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_53.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_56.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_66.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_70.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_79.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_82.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_83.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_87.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_89.py | 4 ++-- .../EfficientNet_EfficientNetB0/SIR_99.py | 4 ++-- .../fcos_fcos_dcn_r50_fpn_1x_coco/SIR_110.py | 4 ++-- .../fcos_fcos_dcn_r50_fpn_1x_coco/SIR_120.py | 4 ++-- .../fcos_fcos_dcn_r50_fpn_1x_coco/SIR_59.py | 4 ++-- .../fcos_fcos_dcn_r50_fpn_1x_coco/SIR_67.py | 4 ++-- .../fcos_fcos_dcn_r50_fpn_1x_coco/SIR_92.py | 4 ++-- .../SIR_145.py | 4 ++-- .../SIR_151.py | 4 ++-- .../SIR_154.py | 4 ++-- .../SIR_157.py | 4 ++-- .../SIR_163.py | 4 ++-- .../gfl_gfl_r18vd_1x_coco/SIR_151.py | 4 ++-- .../gfl_gfl_r50_fpn_1x_coco/SIR_143.py | 4 ++-- .../gfl_gfl_r50_fpn_1x_coco/SIR_149.py | 4 ++-- .../gfl_gfl_r50_fpn_1x_coco/SIR_152.py | 4 ++-- .../gfl_gfl_r50_fpn_1x_coco/SIR_155.py | 4 ++-- .../gfl_gfl_r50_fpn_1x_coco/SIR_161.py | 4 ++-- .../gfl_gflv2_r50_fpn_1x_coco/SIR_112.py | 4 ++-- .../gfl_gflv2_r50_fpn_1x_coco/SIR_122.py | 4 ++-- .../gfl_gflv2_r50_fpn_1x_coco/SIR_132.py | 4 ++-- .../gfl_gflv2_r50_fpn_1x_coco/SIR_68.py | 4 ++-- .../gfl_gflv2_r50_fpn_1x_coco/SIR_94.py | 4 ++-- .../SIR_79.py | 6 +++--- .../SIR_75.py | 20 +++++++++---------- .../mot_ocsort_ocsort_ppyoloe/SIR_164.py | 4 ++-- .../mot_ocsort_ocsort_ppyoloe/SIR_167.py | 4 ++-- .../mot_ocsort_ocsort_ppyoloe/SIR_170.py | 4 ++-- .../SIR_161.py | 4 ++-- .../SIR_164.py | 4 ++-- .../SIR_167.py | 4 ++-- .../SIR_162.py | 4 ++-- .../SIR_165.py | 4 ++-- .../SIR_168.py | 4 ++-- .../SIR_163.py | 4 ++-- .../SIR_166.py | 4 ++-- .../SIR_169.py | 4 ++-- .../SIR_163.py | 4 ++-- .../SIR_166.py | 4 ++-- .../SIR_169.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_177.py | 4 ++-- .../SIR_172.py | 4 ++-- .../SIR_175.py | 4 ++-- .../SIR_178.py | 4 ++-- .../SIR_168.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_177.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_177.py | 4 ++-- .../SIR_168.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_103.py | 6 +++--- .../SIR_106.py | 6 +++--- .../SIR_107.py | 6 +++--- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_41.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_44.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_47.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_50.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_53.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_56.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_57.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_62.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_63.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_68.py | 4 ++-- .../rotate_fcosr_fcosr_x50_3x_dota/SIR_73.py | 4 ++-- .../SIR_169.py | 4 ++-- .../SIR_172.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_177.py | 4 ++-- .../SIR_179.py | 4 ++-- .../SIR_182.py | 4 ++-- .../SIR_170.py | 4 ++-- .../SIR_173.py | 4 ++-- .../SIR_175.py | 4 ++-- .../SIR_178.py | 4 ++-- .../SIR_180.py | 4 ++-- .../SIR_183.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_176.py | 4 ++-- .../SIR_179.py | 4 ++-- .../SIR_181.py | 4 ++-- .../SIR_184.py | 4 ++-- .../SIR_169.py | 4 ++-- .../SIR_172.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_177.py | 4 ++-- .../SIR_179.py | 4 ++-- .../SIR_182.py | 4 ++-- .../SIR_168.py | 4 ++-- .../SIR_171.py | 4 ++-- .../SIR_174.py | 4 ++-- .../SIR_163.py | 4 ++-- .../SIR_166.py | 4 ++-- .../SIR_169.py | 4 ++-- .../SIR_100.py | 4 ++-- .../SIR_114.py | 4 ++-- .../SIR_116.py | 4 ++-- .../SIR_126.py | 4 ++-- .../SIR_128.py | 4 ++-- .../SIR_138.py | 4 ++-- .../SIR_140.py | 4 ++-- .../SIR_37.py | 4 ++-- .../SIR_42.py | 4 ++-- .../SIR_47.py | 4 ++-- .../SIR_54.py | 4 ++-- .../SIR_56.py | 4 ++-- .../SIR_58.py | 4 ++-- .../SIR_62.py | 4 ++-- .../SIR_70.py | 4 ++-- .../SIR_75.py | 4 ++-- .../SIR_95.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_105.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_113.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_123.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_133.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_37.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_42.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_47.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_54.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_56.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_58.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_62.py | 4 ++-- .../solov2_solov2_r50_enhance_coco/SIR_75.py | 4 ++-- .../SIR_61.py | 4 ++-- .../SIR_61.py | 4 ++-- .../SIR_135.py | 4 ++-- .../SIR_140.py | 4 ++-- .../yolox_yolox_cdn_tiny_300e_coco/SIR_112.py | 6 +++--- .../yolox_yolox_cdn_tiny_300e_coco/SIR_118.py | 6 +++--- .../yolox_yolox_cdn_tiny_300e_coco/SIR_124.py | 6 +++--- .../yolox_yolox_cdn_tiny_300e_coco/SIR_125.py | 4 ++-- .../yolox_yolox_crn_s_300e_coco/SIR_184.py | 6 +++--- .../yolox_yolox_crn_s_300e_coco/SIR_190.py | 6 +++--- .../yolox_yolox_crn_s_300e_coco/SIR_200.py | 6 +++--- .../yolox_yolox_crn_s_300e_coco/SIR_201.py | 4 ++-- .../yolox_yolox_m_300e_coco/SIR_110.py | 6 +++--- .../yolox_yolox_m_300e_coco/SIR_116.py | 6 +++--- .../yolox_yolox_m_300e_coco/SIR_122.py | 6 +++--- .../yolox_yolox_m_300e_coco/SIR_123.py | 4 ++-- .../yolox_yolox_nano_300e_coco/SIR_113.py | 6 +++--- .../yolox_yolox_nano_300e_coco/SIR_119.py | 6 +++--- .../yolox_yolox_nano_300e_coco/SIR_125.py | 6 +++--- .../yolox_yolox_nano_300e_coco/SIR_126.py | 4 ++-- .../yolox_yolox_x_300e_coco/SIR_109.py | 6 +++--- .../yolox_yolox_x_300e_coco/SIR_115.py | 6 +++--- .../yolox_yolox_x_300e_coco/SIR_121.py | 6 +++--- .../yolox_yolox_x_300e_coco/SIR_122.py | 4 ++-- .../SIR_33.py | 6 +++--- .../SIR_199.py | 8 ++++---- .../SIR_284.py | 10 +++++----- .../SIR_59.py | 6 +++--- 207 files changed, 448 insertions(+), 448 deletions(-) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_10.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_10.py index 2709513592..b511fdbe44 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_10.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_10.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_104.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_104.py index 5b6e4a1978..59282b0c16 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_104.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_104.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_108.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_108.py index 4035ff5629..b7dde90a9e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_108.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_108.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_109.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_109.py index dee30e6798..ee67aaa667 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_109.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_109.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.975) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.975) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_110.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_110.py index 7cec1f39d9..7f148e2d44 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_110.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_110.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_114.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_114.py index 4ce92654cb..58286edb29 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_114.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_114.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_115.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_115.py index 787fa3cc02..b02033f258 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_115.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_115.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.95) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.95) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_116.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_116.py index 851041b4a8..376d2842da 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_116.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_116.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_120.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_120.py index 7b69d5296b..a26ed54cc6 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_120.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_120.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_121.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_121.py index bccb32e26e..3bd0ed29dc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_121.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_121.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.925) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.925) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_126.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_126.py index 1c6fcc7732..6e1ba1580d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_126.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_126.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_128.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_128.py index 9a56304c35..86acff2164 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_128.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_128.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.875) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.875) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_129.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_129.py index 6a9e863736..7d071df198 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_129.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_129.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_133.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_133.py index 23ce25c26f..cea09dfc2f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_133.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_133.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_134.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_134.py index 51b38fe672..5accda34bd 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_134.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_134.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.85) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.85) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_142.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_142.py index 03f2c1b47a..a1f1eb59c5 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_142.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_142.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_147.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_147.py index 8a7dfc6d57..49e73af023 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_147.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_147.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_151.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_151.py index e1da3ac84b..dce11f9b96 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_151.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_151.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_153.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_153.py index c7b6b31d0c..5734e7574e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_153.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_153.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_157.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_157.py index 8fc1c5c1b3..1c5cd5c352 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_157.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_157.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_159.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_159.py index bf24527607..47b965ec69 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_159.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_159.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_163.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_163.py index b123c1173a..07784f5256 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_163.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_163.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_169.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_169.py index 6bc46e35d7..0f2a628e7e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_169.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_169.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_172.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_172.py index d181ec776d..2e3a85316b 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_172.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_172.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_176.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_176.py index 43030c3bde..c7b170ab9c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_176.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_176.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_185.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_185.py index 3ebbcb7726..0711ae2a3f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_185.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_185.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_190.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_190.py index 2d18c3f0e2..aaa4f20766 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_190.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_190.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_194.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_194.py index 3cb2e1dfff..615c69bd21 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_194.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_194.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_196.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_196.py index 19af41965d..4612b497bf 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_196.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_196.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_197.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_197.py index 08011db686..736d55679a 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_197.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_197.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_199.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_199.py index 67f1487ea3..b9f646da69 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_199.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_199.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_200.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_200.py index f60d72ac01..aaa0319ac9 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_200.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_200.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_201.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_201.py index 267e1a35bd..cd3db83d1d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_201.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_201.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_2, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_202.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_202.py index 62ec23c516..1c6329afc6 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_202.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_202.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_203.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_203.py index 7a84a3a095..a7f8e0614f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_203.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_203.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_3 = paddle.nn.functional.activation.swish(var_2) var_4 = paddle.nn.functional.conv._conv_nd(var_3, self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_5 = paddle.tensor.ops.sigmoid(var_4) + var_5 = paddle.nn.functional.sigmoid(var_4) var_6 = paddle.tensor.math.multiply(var_0, var_5) return var_6 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_24.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_24.py index 023814cefa..4aa33b243b 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_24.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_24.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_34.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_34.py index c292926b45..f7ddba6391 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_34.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_34.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_37.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_37.py index cfef92bd56..20d42703c2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_37.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_37.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.975) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.975) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_40.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_40.py index 3ca387f816..0e1dda6101 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_40.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_40.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_50.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_50.py index 1b8cd58efa..6e5d4241c6 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_50.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_50.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_53.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_53.py index b54ebf1a88..4a0fb89be5 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_53.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_53.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.95) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.95) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_56.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_56.py index b73977d465..ad3278f86f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_56.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_56.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_66.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_66.py index ce73700424..90e4b89663 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_66.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_66.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_70.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_70.py index a6c8b0b0f5..51043f7ee8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_70.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_70.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.9125) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.9125) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_79.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_79.py index 1987d49101..f7ee576cab 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_79.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_79.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_82.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_82.py index af5b57a95b..3a518fe113 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_82.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_82.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.875) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.875) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_83.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_83.py index ebdc1cb3a7..585f092f07 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_83.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_83.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_87.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_87.py index 927ca0eb33..4cf5b3bef0 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_87.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_87.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_2, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_89.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_89.py index 289136ca29..c23ac82262 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_89.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_89.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add +# api:paddle.tensor.attribute.shape||method:__getitem__||api:paddle.tensor.random.rand||method:__radd__||api:paddle.floor||api:paddle.tensor.math.multiply||method:__truediv__||api:paddle.tensor.math.add import paddle import unittest import numpy as np @@ -16,7 +16,7 @@ def forward( var_3 = var_2.__getitem__(0) var_4 = paddle.tensor.random.rand(shape=[var_3, 1, 1, 1]) var_5 = var_4.__radd__(0.8375) - var_6 = paddle.tensor.ops.floor(var_5) + var_6 = paddle.floor(var_5) var_7 = paddle.tensor.math.multiply(var_0, var_6) var_8 = var_7.__truediv__(0.8375) var_9 = paddle.tensor.math.add(var_8, var_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_99.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_99.py index ed20708e8d..9b274817dd 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_99.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Clas_cases/EfficientNet_EfficientNetB0/SIR_99.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||api:paddle.tensor.math.multiply +# api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.swish||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||api:paddle.tensor.math.multiply import paddle import unittest import numpy as np @@ -32,7 +32,7 @@ def forward( var_3 = paddle.nn.functional.conv._conv_nd(var_2, self.parameter_1, bias=self.parameter_2, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_4 = paddle.nn.functional.activation.swish(var_3) var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_6 = paddle.tensor.ops.sigmoid(var_5) + var_6 = paddle.nn.functional.sigmoid(var_5) var_7 = paddle.tensor.math.multiply(var_1, var_6) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_110.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_110.py index 51d631b456..c193865e78 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_110.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_110.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_120.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_120.py index 34e66d6e3c..a51673aa88 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_120.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_120.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_59.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_59.py index ce362efbed..2bfe885fc5 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_59.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_59.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_67.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_67.py index e6554a4c41..2735e5fd25 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_67.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_67.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_92.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_92.py index 6b85f8c2ba..62a811b06f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_92.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/fcos_fcos_dcn_r50_fpn_1x_coco/SIR_92.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_145.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_145.py index 84318a7ec1..1f759b03e0 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_145.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_145.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [8816, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [8816], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([8816, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_151.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_151.py index 6905437196..14d2d7a3e2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_151.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_151.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [2204, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [2204], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([2204, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_154.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_154.py index bcfad59b76..ccc46f0993 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_154.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_154.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [551, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [551], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([551, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_157.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_157.py index ba8908f486..f8487db9c5 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_157.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_157.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [150, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [150], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([150, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_163.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_163.py index fc7e0a8333..00796b34fe 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_163.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r101vd_fpn_mstrain_2x_coco/SIR_163.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [40, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [40], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([40, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r18vd_1x_coco/SIR_151.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r18vd_1x_coco/SIR_151.py index ae43337a57..d0a729ee19 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r18vd_1x_coco/SIR_151.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r18vd_1x_coco/SIR_151.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [3800, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [3800], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([3800, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_143.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_143.py index f1c89cc960..b318c8f3ae 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_143.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_143.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [15200, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [15200], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([15200, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_149.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_149.py index 8b6dd9f306..e03d047891 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_149.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_149.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [3800], dtype: paddle.int64, stop_gradient: True) var_1, # (shape: [3800, 80], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = paddle.tensor.creation.zeros([3800, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_1, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_152.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_152.py index b5084f8a4a..38345c6fe8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_152.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_152.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [950, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [950], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([950, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_155.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_155.py index 87f139b297..1ab7ec4347 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_155.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_155.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [247, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [247], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([247, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_161.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_161.py index b13ad3893b..238acb2a8e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_161.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gfl_r50_fpn_1x_coco/SIR_161.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze +# api:paddle.nn.functional.sigmoid||api:paddle.tensor.creation.zeros||api:paddle.nn.functional.loss.binary_cross_entropy_with_logits||method:pow||method:__mul__||method:__ge__||method:__lt__||api:paddle.tensor.logic.logical_and||method:nonzero||method:squeeze import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [70, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [70], dtype: paddle.int64, stop_gradient: True) ): - var_2 = paddle.tensor.ops.sigmoid(var_0) + var_2 = paddle.nn.functional.sigmoid(var_0) var_3 = paddle.tensor.creation.zeros([70, 80], dtype='float32') var_4 = paddle.nn.functional.loss.binary_cross_entropy_with_logits(var_0, var_3, reduction='none') var_5 = var_2.pow(2.0) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_112.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_112.py index 7b622b1600..076beb9450 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_112.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_112.py @@ -1,4 +1,4 @@ -# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid +# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid import paddle import unittest import numpy as np @@ -38,7 +38,7 @@ def forward( var_8 = paddle.nn.functional.conv._conv_nd(var_7, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_9 = paddle.nn.functional.activation.relu(var_8) var_10 = paddle.nn.functional.conv._conv_nd(var_9, self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_11 = paddle.tensor.ops.sigmoid(var_10) + var_11 = paddle.nn.functional.sigmoid(var_10) return var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_122.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_122.py index 0bd91d6288..421317f6e9 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_122.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_122.py @@ -1,4 +1,4 @@ -# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid +# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid import paddle import unittest import numpy as np @@ -38,7 +38,7 @@ def forward( var_8 = paddle.nn.functional.conv._conv_nd(var_7, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_9 = paddle.nn.functional.activation.relu(var_8) var_10 = paddle.nn.functional.conv._conv_nd(var_9, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_11 = paddle.tensor.ops.sigmoid(var_10) + var_11 = paddle.nn.functional.sigmoid(var_10) return var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_132.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_132.py index 5fd2777867..bf599bbccc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_132.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_132.py @@ -1,4 +1,4 @@ -# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid +# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid import paddle import unittest import numpy as np @@ -38,7 +38,7 @@ def forward( var_8 = paddle.nn.functional.conv._conv_nd(var_7, self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_9 = paddle.nn.functional.activation.relu(var_8) var_10 = paddle.nn.functional.conv._conv_nd(var_9, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_11 = paddle.tensor.ops.sigmoid(var_10) + var_11 = paddle.nn.functional.sigmoid(var_10) return var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_68.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_68.py index 7208448571..cbcc462e7d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_68.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_68.py @@ -1,4 +1,4 @@ -# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid +# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid import paddle import unittest import numpy as np @@ -38,7 +38,7 @@ def forward( var_8 = paddle.nn.functional.conv._conv_nd(var_7, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_9 = paddle.nn.functional.activation.relu(var_8) var_10 = paddle.nn.functional.conv._conv_nd(var_9, self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_11 = paddle.tensor.ops.sigmoid(var_10) + var_11 = paddle.nn.functional.sigmoid(var_10) return var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_94.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_94.py index e553075580..c6e917f3af 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_94.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/gfl_gflv2_r50_fpn_1x_coco/SIR_94.py @@ -1,4 +1,4 @@ -# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid +# method:reshape||api:paddle.nn.functional.activation.softmax||method:topk||method:mean||api:paddle.tensor.manipulation.concat||method:reshape||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid import paddle import unittest import numpy as np @@ -38,7 +38,7 @@ def forward( var_8 = paddle.nn.functional.conv._conv_nd(var_7, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_9 = paddle.nn.functional.activation.relu(var_8) var_10 = paddle.nn.functional.conv._conv_nd(var_9, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_11 = paddle.tensor.ops.sigmoid(var_10) + var_11 = paddle.nn.functional.sigmoid(var_10) return var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_fairmot_fairmot_dla34_30e_1088x608_bytetracker/SIR_79.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_fairmot_fairmot_dla34_30e_1088x608_bytetracker/SIR_79.py index 3afe163464..a0dd72df0e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_fairmot_fairmot_dla34_30e_1088x608_bytetracker/SIR_79.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_fairmot_fairmot_dla34_30e_1088x608_bytetracker/SIR_79.py @@ -1,4 +1,4 @@ -# method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__add__||method:__add__||method:__mul__ +# method:__neg__||api:paddle.exp||method:__mul__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__add__||method:__add__||method:__mul__ import paddle import unittest import numpy as np @@ -21,10 +21,10 @@ def forward( var_1, # (shape: [], dtype: paddle.float32, stop_gradient: False) ): var_2 = self.parameter_0.__neg__() - var_3 = paddle.tensor.ops.exp(var_2) + var_3 = paddle.exp(var_2) var_4 = var_3.__mul__(var_1) var_5 = self.parameter_1.__neg__() - var_6 = paddle.tensor.ops.exp(var_5) + var_6 = paddle.exp(var_5) var_7 = var_6.__mul__(var_0) var_8 = var_4.__add__(var_7) var_9 = self.parameter_0.__add__(self.parameter_1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_jde_jde_darknet53_30e_864x480/SIR_75.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_jde_jde_darknet53_30e_864x480/SIR_75.py index de829f2b76..05a1c05355 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_jde_jde_darknet53_30e_864x480/SIR_75.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_jde_jde_darknet53_30e_864x480/SIR_75.py @@ -1,4 +1,4 @@ -# method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.tensor.ops.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__radd__||method:__add__||method:__add__||method:__radd__||method:__add__||method:__add__||method:__radd__||method:__add__||method:__add__||method:__radd__||method:__add__||method:__add__ +# method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__neg__||api:paddle.exp||method:__mul__||method:__add__||method:__mul__||method:__add__||method:__radd__||method:__add__||method:__add__||method:__radd__||method:__add__||method:__add__||method:__radd__||method:__add__||method:__add__||method:__radd__||method:__add__||method:__add__ import paddle import unittest import numpy as np @@ -56,52 +56,52 @@ def forward( var_8, # (shape: [], dtype: paddle.float32, stop_gradient: False) ): var_10 = self.parameter_3.__neg__() - var_11 = paddle.tensor.ops.exp(var_10) + var_11 = paddle.exp(var_10) var_12 = var_11.__mul__(var_0) var_13 = var_12.__add__(self.parameter_3) var_14 = var_13.__mul__(0.5) var_15 = self.parameter_2.__neg__() - var_16 = paddle.tensor.ops.exp(var_15) + var_16 = paddle.exp(var_15) var_17 = var_16.__mul__(var_3) var_18 = var_17.__add__(self.parameter_2) var_19 = var_18.__mul__(0.5) var_20 = var_14.__add__(var_19) var_21 = self.parameter_6.__neg__() - var_22 = paddle.tensor.ops.exp(var_21) + var_22 = paddle.exp(var_21) var_23 = var_22.__mul__(var_6) var_24 = var_23.__add__(self.parameter_6) var_25 = var_24.__mul__(0.5) var_26 = var_20.__add__(var_25) var_27 = self.parameter_5.__neg__() - var_28 = paddle.tensor.ops.exp(var_27) + var_28 = paddle.exp(var_27) var_29 = var_28.__mul__(var_1) var_30 = var_29.__add__(self.parameter_5) var_31 = var_30.__mul__(0.5) var_32 = self.parameter_7.__neg__() - var_33 = paddle.tensor.ops.exp(var_32) + var_33 = paddle.exp(var_32) var_34 = var_33.__mul__(var_4) var_35 = var_34.__add__(self.parameter_7) var_36 = var_35.__mul__(0.5) var_37 = var_31.__add__(var_36) var_38 = self.parameter_4.__neg__() - var_39 = paddle.tensor.ops.exp(var_38) + var_39 = paddle.exp(var_38) var_40 = var_39.__mul__(var_7) var_41 = var_40.__add__(self.parameter_4) var_42 = var_41.__mul__(0.5) var_43 = var_37.__add__(var_42) var_44 = self.parameter_8.__neg__() - var_45 = paddle.tensor.ops.exp(var_44) + var_45 = paddle.exp(var_44) var_46 = var_45.__mul__(var_2) var_47 = var_46.__add__(self.parameter_8) var_48 = var_47.__mul__(0.5) var_49 = self.parameter_1.__neg__() - var_50 = paddle.tensor.ops.exp(var_49) + var_50 = paddle.exp(var_49) var_51 = var_50.__mul__(var_5) var_52 = var_51.__add__(self.parameter_1) var_53 = var_52.__mul__(0.5) var_54 = var_48.__add__(var_53) var_55 = self.parameter_0.__neg__() - var_56 = paddle.tensor.ops.exp(var_55) + var_56 = paddle.exp(var_55) var_57 = var_56.__mul__(var_8) var_58 = var_57.__add__(self.parameter_0) var_59 = var_58.__mul__(0.5) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_164.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_164.py index d5579c635d..206337cae1 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_164.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_164.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 1, 23, 23], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_167.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_167.py index 4dacc4c05a..8f2eeed694 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_167.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_167.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 1, 46, 46], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_170.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_170.py index 415d405c40..6eb8585184 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_170.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/mot_ocsort_ocsort_ppyoloe/SIR_170.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 1, 92, 92], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_161.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_161.py index 1c493f07bb..c93059fd2a 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_161.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_161.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 12, 12], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_164.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_164.py index c937a757ee..43d5926d58 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_164.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_164.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 24, 24], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_167.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_167.py index 9f73b5f396..1a9fec8560 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_167.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_l_300e_coco/SIR_167.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 48, 48], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_162.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_162.py index 724bd5a985..e49897ba5c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_162.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_162.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 13, 13], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_165.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_165.py index 212f30ec1e..5d321b0624 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_165.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_165.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 26, 26], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_168.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_168.py index 2dc7be0fd3..96e0b45a6f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_168.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_m_300e_coco/SIR_168.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 52, 52], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_163.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_163.py index 2d96b8b16b..b4625dc68e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_163.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_163.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 13, 13], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_166.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_166.py index a0e2faffeb..e4d20e3286 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_166.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_166.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 26, 26], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_169.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_169.py index 5e8d6be1ac..38da4e26a5 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_169.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_300e_coco/SIR_169.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 52, 52], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_163.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_163.py index 33f5340d99..0851755080 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_163.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_163.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 20, 20], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_166.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_166.py index c0e2c35e12..7183a5096a 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_166.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_166.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 40, 40], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_169.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_169.py index a491b1c4c2..824db34ac7 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_169.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_crn_s_400e_coco/SIR_169.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 80, 80], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_171.py index 694ed2d2c5..1bcf1c134e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 14, 14], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_174.py index 0d5e1fa63e..9cad8c3d36 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 28, 28], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_177.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_177.py index 9a4b863302..52001adce3 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_177.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_l_80e_coco/SIR_177.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 56, 56], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_172.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_172.py index 9f1ab63681..7446289929 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_172.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_172.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 15, 15], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_175.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_175.py index 0d0deb6775..f551b4db57 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_175.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_175.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 30, 30], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_178.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_178.py index e02ab1c38e..0c7a49b1a8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_178.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_m_80e_coco/SIR_178.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 60, 60], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_168.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_168.py index 1c82a51629..cae0a256d4 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_168.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_168.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 17, 17], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_171.py index 738bd3f13b..d2ab4670e9 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 34, 34], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_174.py index b3f5fd9e83..827aa33c4c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_s_80e_coco/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 68, 68], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_171.py index e2fdd5f48a..c5eb237266 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 21, 21], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_174.py index b0f5d5c026..e7eb4c0fac 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 42, 42], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_177.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_177.py index c3032a00d3..22ad45af64 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_177.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_ppyoloe_plus_crn_x_80e_coco/SIR_177.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 84, 84], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_171.py index aae1b35bc8..da9ac57935 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 20, 14, 14], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_174.py index 3940c4387f..8d95807802 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 20, 28, 28], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_177.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_177.py index 4db4d05cbb..2c57f1f284 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_177.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_l_30e_voc/SIR_177.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 20, 56, 56], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_168.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_168.py index c068915b22..0add683b3a 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_168.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_168.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 20, 10, 10], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_171.py index e6c5b68cdd..44602f1668 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 20, 20, 20], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_174.py index c4fdb20aab..1d3917a99c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/ppyoloe_voc_ppyoloe_plus_crn_s_30e_voc/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 20, 40, 40], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_103.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_103.py index 338a512c6e..d0fed99acc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_103.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_103.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.math.clip||api:paddle.tensor.ops.exp||api:paddle.tensor.ops.exp||method:__rmul__||method:__sub__||method:__rmul__||method:__sub__||method:__rmul__||method:__add__||method:__rmul__||method:__add__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.math.clip||api:paddle.exp||api:paddle.exp||method:__rmul__||method:__sub__||method:__rmul__||method:__sub__||method:__rmul__||method:__add__||method:__rmul__||method:__add__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -15,8 +15,8 @@ def forward( var_3, # (shape: [6, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_4 = paddle.tensor.math.clip(var_0, -10000000000.0, 4.135166556742356) - var_5 = paddle.tensor.ops.exp(var_3) - var_6 = paddle.tensor.ops.exp(var_4) + var_5 = paddle.exp(var_3) + var_6 = paddle.exp(var_4) var_7 = var_5.__rmul__(0.5) var_8 = var_1.__sub__(var_7) var_9 = var_6.__rmul__(0.5) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_106.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_106.py index a30a687167..7cbb18c1c8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_106.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_106.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.math.clip||api:paddle.tensor.ops.exp||api:paddle.tensor.ops.exp||method:__rmul__||method:__sub__||method:__rmul__||method:__sub__||method:__rmul__||method:__add__||method:__rmul__||method:__add__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.math.clip||api:paddle.exp||api:paddle.exp||method:__rmul__||method:__sub__||method:__rmul__||method:__sub__||method:__rmul__||method:__add__||method:__rmul__||method:__add__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -15,8 +15,8 @@ def forward( var_3, # (shape: [6, 1, 1], dtype: paddle.float32, stop_gradient: True) ): var_4 = paddle.tensor.math.clip(var_0, -10000000000.0, 4.135166556742356) - var_5 = paddle.tensor.ops.exp(var_3) - var_6 = paddle.tensor.ops.exp(var_4) + var_5 = paddle.exp(var_3) + var_6 = paddle.exp(var_4) var_7 = var_5.__rmul__(0.5) var_8 = var_1.__sub__(var_7) var_9 = var_6.__rmul__(0.5) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_107.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_107.py index a518d564bd..d411a53acc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_107.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rcnn_enhance_faster_rcnn_enhance_3x_coco/SIR_107.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.manipulation.split||api:paddle.tensor.manipulation.split||method:__add__||method:__truediv__||method:__add__||method:__truediv__||method:__sub__||method:__sub__||method:__add__||method:__truediv__||method:__add__||method:__truediv__||method:__sub__||method:__sub__||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||method:__sub__||method:__sub__||method:__mul__||api:paddle.tensor.logic.greater_than||method:__mul__||api:paddle.tensor.logic.greater_than||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__add__||method:__sub__||method:__add__||method:__truediv__||method:__sub__||method:__sub__||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__add__||method:__sub__||method:__sub__||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__add__||method:__add__||method:__add__||method:__truediv__||method:__truediv__||method:__truediv__||api:paddle.tensor.ops.atan||api:paddle.tensor.ops.atan||method:__sub__||method:__rmul__||method:__mul__||method:__rsub__||method:__add__||method:__add__||method:__truediv__||method:__mul__||method:__rsub__||method:__add__||method:__add__||method:__mul__||api:paddle.tensor.stat.mean||method:__mul__ +# api:paddle.tensor.manipulation.split||api:paddle.tensor.manipulation.split||method:__add__||method:__truediv__||method:__add__||method:__truediv__||method:__sub__||method:__sub__||method:__add__||method:__truediv__||method:__add__||method:__truediv__||method:__sub__||method:__sub__||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.minimum||api:paddle.tensor.math.maximum||api:paddle.tensor.math.maximum||method:__sub__||method:__sub__||method:__mul__||api:paddle.tensor.logic.greater_than||method:__mul__||api:paddle.tensor.logic.greater_than||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__add__||method:__sub__||method:__add__||method:__truediv__||method:__sub__||method:__sub__||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__add__||method:__sub__||method:__sub__||method:__mul__||method:__sub__||method:__sub__||method:__mul__||method:__add__||method:__add__||method:__add__||method:__truediv__||method:__truediv__||method:__truediv__||api:paddle.atan||api:paddle.atan||method:__sub__||method:__rmul__||method:__mul__||method:__rsub__||method:__add__||method:__add__||method:__truediv__||method:__mul__||method:__rsub__||method:__add__||method:__add__||method:__mul__||api:paddle.tensor.stat.mean||method:__mul__ import paddle import unittest import numpy as np @@ -80,8 +80,8 @@ def forward( var_65 = var_63.__truediv__(var_64) var_66 = var_20.__truediv__(var_21) var_67 = var_14.__truediv__(var_15) - var_68 = paddle.tensor.ops.atan(var_66) - var_69 = paddle.tensor.ops.atan(var_67) + var_68 = paddle.atan(var_66) + var_69 = paddle.atan(var_67) var_70 = var_68.__sub__(var_69) var_71 = var_70.__rmul__(0.4052847345693511) var_72 = var_71.__mul__(var_70) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_41.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_41.py index 2447cc7887..b776f7e6f4 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_41.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_41.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -20,7 +20,7 @@ def forward( var_0, # (shape: [1, 256, 128, 128], dtype: paddle.float32, stop_gradient: False) ): var_1 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose((0, 2, 1,)) return var_2, var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_44.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_44.py index 8507e774f1..313f411ede 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_44.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_44.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -52,7 +52,7 @@ def forward( var_11 = paddle.tensor.math.divide(var_10, var_1) var_12 = paddle.tensor.math.sign(var_11) var_13 = paddle.tensor.abs(var_11) - var_14 = paddle.tensor.ops.floor(var_13) + var_14 = paddle.floor(var_13) var_15 = paddle.tensor.math.multiply(var_12, var_14) var_16 = var_15.__mul__(var_1) var_17 = var_10.__sub__(var_16) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_47.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_47.py index 39604bdec2..b6a5a4e0dc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_47.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_47.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -20,7 +20,7 @@ def forward( var_0, # (shape: [1, 256, 64, 64], dtype: paddle.float32, stop_gradient: False) ): var_1 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose((0, 2, 1,)) return var_2, var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_50.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_50.py index c42cb5e25a..4304885ed9 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_50.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_50.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -52,7 +52,7 @@ def forward( var_11 = paddle.tensor.math.divide(var_10, var_1) var_12 = paddle.tensor.math.sign(var_11) var_13 = paddle.tensor.abs(var_11) - var_14 = paddle.tensor.ops.floor(var_13) + var_14 = paddle.floor(var_13) var_15 = paddle.tensor.math.multiply(var_12, var_14) var_16 = var_15.__mul__(var_1) var_17 = var_10.__sub__(var_16) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_53.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_53.py index 36ce2e7fb5..553068fa4f 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_53.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_53.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -20,7 +20,7 @@ def forward( var_0, # (shape: [1, 256, 32, 32], dtype: paddle.float32, stop_gradient: False) ): var_1 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose((0, 2, 1,)) return var_2, var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_56.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_56.py index 8243f3d989..03f94ca759 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_56.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_56.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -52,7 +52,7 @@ def forward( var_11 = paddle.tensor.math.divide(var_10, var_1) var_12 = paddle.tensor.math.sign(var_11) var_13 = paddle.tensor.abs(var_11) - var_14 = paddle.tensor.ops.floor(var_13) + var_14 = paddle.floor(var_13) var_15 = paddle.tensor.math.multiply(var_12, var_14) var_16 = var_15.__mul__(var_1) var_17 = var_10.__sub__(var_16) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_57.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_57.py index eaabae985a..e47965aef1 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_57.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_57.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -20,7 +20,7 @@ def forward( var_0, # (shape: [1, 256, 16, 16], dtype: paddle.float32, stop_gradient: False) ): var_1 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose((0, 2, 1,)) return var_2, var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_62.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_62.py index 9e2b8a3d58..d937048a36 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_62.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_62.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -52,7 +52,7 @@ def forward( var_11 = paddle.tensor.math.divide(var_10, var_1) var_12 = paddle.tensor.math.sign(var_11) var_13 = paddle.tensor.abs(var_11) - var_14 = paddle.tensor.ops.floor(var_13) + var_14 = paddle.floor(var_13) var_15 = paddle.tensor.math.multiply(var_12, var_14) var_16 = var_15.__mul__(var_1) var_17 = var_10.__sub__(var_16) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_63.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_63.py index 074bc5e204..9b33999870 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_63.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_63.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -20,7 +20,7 @@ def forward( var_0, # (shape: [1, 256, 8, 8], dtype: paddle.float32, stop_gradient: False) ): var_1 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose((0, 2, 1,)) return var_2, var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_68.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_68.py index 656864f6d7..45d3387e6c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_68.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_68.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.tensor.ops.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__mul__||api:paddle.nn.functional.conv._conv_nd||method:__mul__||method:__add__||api:paddle.nn.functional.activation.elu||method:__mul__||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.math.divide||api:paddle.tensor.math.sign||api:paddle.tensor.layer_function_generator.abs||api:paddle.floor||api:paddle.tensor.math.multiply||method:__mul__||method:__sub__||api:paddle.tensor.manipulation.concat||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -52,7 +52,7 @@ def forward( var_11 = paddle.tensor.math.divide(var_10, var_1) var_12 = paddle.tensor.math.sign(var_11) var_13 = paddle.tensor.abs(var_11) - var_14 = paddle.tensor.ops.floor(var_13) + var_14 = paddle.floor(var_13) var_15 = paddle.tensor.math.multiply(var_12, var_14) var_16 = var_15.__mul__(var_1) var_17 = var_10.__sub__(var_16) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_73.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_73.py index dd5e9ddd32..cd08baf4e1 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_73.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_fcosr_fcosr_x50_3x_dota/SIR_73.py @@ -1,4 +1,4 @@ -# method:split||method:unsqueeze||method:__sub__||method:__sub__||method:split||method:unsqueeze||method:__sub__||method:__mul__||api:paddle.tensor.math.sum||method:__mul__||api:paddle.tensor.math.sum||method:__mul__||api:paddle.tensor.math.sum||method:sqrt||method:__mul__||api:paddle.tensor.math.sum||method:sqrt||api:paddle.tensor.math.min||method:pow||method:pow||method:__mul__||method:__add__||method:__truediv__||method:pow||method:pow||method:__mul__||method:__add__||method:__truediv__||method:__add__||method:__rmul__||api:paddle.tensor.ops.exp||method:__truediv__||method:__rmul__||method:__add__||method:__truediv__ +# method:split||method:unsqueeze||method:__sub__||method:__sub__||method:split||method:unsqueeze||method:__sub__||method:__mul__||api:paddle.tensor.math.sum||method:__mul__||api:paddle.tensor.math.sum||method:__mul__||api:paddle.tensor.math.sum||method:sqrt||method:__mul__||api:paddle.tensor.math.sum||method:sqrt||api:paddle.tensor.math.min||method:pow||method:pow||method:__mul__||method:__add__||method:__truediv__||method:pow||method:pow||method:__mul__||method:__add__||method:__truediv__||method:__add__||method:__rmul__||api:paddle.exp||method:__truediv__||method:__rmul__||method:__add__||method:__truediv__ import paddle import unittest import numpy as np @@ -50,7 +50,7 @@ def forward( var_35 = var_31.__truediv__(var_34) var_36 = var_30.__add__(var_35) var_37 = var_36.__rmul__(-6.0) - var_38 = paddle.tensor.ops.exp(var_37) + var_38 = paddle.exp(var_37) var_39 = var_25.__truediv__(12) var_40 = var_39.__rmul__(6.283185307179586) var_41 = var_40.__add__(1e-09) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_169.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_169.py index 2b4e584ffd..886d780c9c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_169.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_169.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 768, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_172.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_172.py index 2569bddb7c..c2b886cc0e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_172.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_172.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 32, 32], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_174.py index 1599e41ac6..6c20fdfe7b 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 384, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_177.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_177.py index 2057296f48..e89db04cc8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_177.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_177.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 64, 64], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_179.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_179.py index 20499c4373..681a405ba2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_179.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_179.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 192, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_182.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_182.py index 1d4d1eee04..c8a57a0761 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_182.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_l_3x_dota/SIR_182.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 128, 128], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_170.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_170.py index a9b248d951..31f48de78e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_170.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_170.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 576, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_173.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_173.py index 936c880dde..3513ba16e2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_173.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_173.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 32, 32], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_175.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_175.py index d5684e9192..0049e9f324 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_175.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_175.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 288, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_178.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_178.py index 1561d25d9a..bcc5dfd4d8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_178.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_178.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 64, 64], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_180.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_180.py index 71a41389d5..854fdb5f16 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_180.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_180.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 144, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_183.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_183.py index be7aefc4da..017f1419c3 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_183.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_m_3x_dota_ms/SIR_183.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 128, 128], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_171.py index 678c2b11a3..d2ab24d7c2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 384, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_174.py index 3ff41b9d80..0885391dcc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 32, 32], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_176.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_176.py index 8491d32214..6ca4a79266 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_176.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_176.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 192, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_179.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_179.py index 4fcf85681b..7029b254bc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_179.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_179.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 64, 64], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_181.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_181.py index 3e5efd4d1c..b2f9a4aa98 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_181.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_181.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 96, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_184.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_184.py index 90494604d7..0675ad55e8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_184.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_s_3x_dota/SIR_184.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 128, 128], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_169.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_169.py index 7760034329..ef01229ec2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_169.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_169.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 960, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_172.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_172.py index 4a65311899..8548966d26 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_172.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_172.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 32, 32], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_174.py index 15dc8c7905..ff73483dbe 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 480, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_177.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_177.py index 75f60e2db9..41e4327c33 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_177.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_177.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 64, 64], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_179.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_179.py index 14937b0070..6299080dec 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_179.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_179.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__ +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__ import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 240, 1, 1], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_1, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_2) + var_3 = paddle.nn.functional.sigmoid(var_2) var_4 = var_0.__mul__(var_3) return var_4 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_182.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_182.py index 8b4a6f3229..c3d803052a 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_182.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/rotate_ppyoloe_r_ppyoloe_r_crn_x_3x_dota/SIR_182.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -22,7 +22,7 @@ def forward( var_2, # (shape: [1, 4, 128, 128], dtype: paddle.float32, stop_gradient: False) ): var_3 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_4 = paddle.tensor.ops.sigmoid(var_1) + var_4 = paddle.nn.functional.sigmoid(var_1) var_5 = var_4.flatten(2) var_6 = var_5.transpose([0, 2, 1]) var_7 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_168.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_168.py index 5000a7a769..86ffffcb3d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_168.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_168.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 19, 19], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_171.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_171.py index eacb5b8492..a6dd987ee7 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_171.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_171.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 38, 38], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_174.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_174.py index 2e8ada6809..258844b037 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_174.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/semi_det_baseline_ppyoloe_plus_crn_s_80e_coco_sup005/SIR_174.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 76, 76], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_163.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_163.py index 18f72571d4..1647aa2ddc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_163.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_163.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 13, 13], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_166.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_166.py index 8d178e50a5..ae3fc27ad8 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_166.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_166.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 26, 26], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_169.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_169.py index 4f33b25b6f..78a742bbde 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_169.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/smalldet_ppyoloe_plus_sod_crn_l_80e_coco/SIR_169.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 52, 52], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_100.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_100.py index 5edb0078fc..3ff40c571c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_100.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_100.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_114.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_114.py index bb49cebc59..ef5b7c90fd 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_114.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_114.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_116.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_116.py index 4c524c92cc..15ab55f26e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_116.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_116.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_126.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_126.py index ff53b21119..f5ce0778b9 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_126.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_126.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_0, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_128.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_128.py index cd18024333..ed49a70564 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_128.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_128.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_138.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_138.py index 58c91c3d7e..47c0292743 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_138.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_138.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_140.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_140.py index 2e0e7d2e73..2e1cc49309 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_140.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_140.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_37.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_37.py index 8bb96a5cb2..041331ae38 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_37.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_37.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_42.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_42.py index 2c610b9c83..1617f28729 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_42.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_42.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_47.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_47.py index 4c5b95ce8f..67bd604ca6 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_47.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_47.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_54.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_54.py index d61c7457f6..6241d1ddda 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_54.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_54.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_56.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_56.py index 74444738a0..44b66a6b02 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_56.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_56.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_58.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_58.py index 9d03783c5b..fb65c0d154 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_58.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_58.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_62.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_62.py index c1d67dc07a..8d05a7825d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_62.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_62.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[2, 1], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_70.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_70.py index ebc9355cc6..41abc34bcb 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_70.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_70.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_75.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_75.py index 17e6fb5ee4..2e7aa4730e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_75.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_75.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_95.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_95.py index 8c3e4d8385..6edc6faa52 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_95.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r101_vd_fpn_3x_coco/SIR_95.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_105.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_105.py index eced141994..4b38fc91da 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_105.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_105.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_113.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_113.py index f7882bfb31..e4e84ab283 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_113.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_113.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_123.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_123.py index e53b9da7a3..cdfc639f72 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_123.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_123.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_133.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_133.py index 42e9ba165e..af3107c927 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_133.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_133.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_1, bias=self.parameter_3, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_37.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_37.py index 36aa8cf539..77586275e7 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_37.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_37.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_42.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_42.py index fa19a79c9a..1e51b1e3a6 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_42.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_42.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_47.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_47.py index 8d8e699678..136d252fe0 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_47.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_47.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_54.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_54.py index 3b2410c210..a349099b0b 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_54.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_54.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_56.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_56.py index 1eaa16f191..9999ad32d2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_56.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_56.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_58.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_58.py index 8c6ff7b13d..5e14e1f0ee 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_58.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_58.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_62.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_62.py index 1b47d57146..888302341d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_62.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_62.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[2, 1], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_2, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_75.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_75.py index 946d86f64c..6feaa2e881 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_75.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/solov2_solov2_r50_enhance_coco/SIR_75.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.tensor.ops.sigmoid||api:paddle.vision.ops.deform_conv2d +# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.manipulation.split||api:paddle.nn.functional.sigmoid||api:paddle.vision.ops.deform_conv2d import paddle import unittest import numpy as np @@ -31,7 +31,7 @@ def forward( out = paddle.tensor.manipulation.split(var_1, num_or_sections=[18, 9], axis=1) var_2 = out[0] var_3 = out[1] - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = paddle.vision.ops.deform_conv2d(x=var_0, offset=var_2, weight=self.parameter_0, bias=self.parameter_2, stride=[1, 1], padding=[1, 1], dilation=[1, 1], deformable_groups=1, groups=1, mask=var_4) return var_5 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro100_coco/SIR_61.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro100_coco/SIR_61.py index 2067bfc14e..a5162e7bd3 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro100_coco/SIR_61.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro100_coco/SIR_61.py @@ -1,4 +1,4 @@ -# method:flatten||api:paddle.tensor.ops.sigmoid||method:flatten||api:paddle.tensor.manipulation.concat||method:__gt__||method:all +# method:flatten||api:paddle.nn.functional.sigmoid||method:flatten||api:paddle.tensor.manipulation.concat||method:__gt__||method:all import paddle import unittest import numpy as np @@ -14,7 +14,7 @@ def forward( var_2, # (shape: [2], dtype: paddle.int32, stop_gradient: True) ): var_3 = var_0.flatten(start_axis=0, stop_axis=1) - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = var_1.flatten(start_axis=0, stop_axis=1) var_6 = paddle.tensor.manipulation.concat([var_2]) var_7 = var_6.__gt__(-1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro300_coco/SIR_61.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro300_coco/SIR_61.py index 4a7bc80a25..e41506dacc 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro300_coco/SIR_61.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/sparse_rcnn_sparse_rcnn_r50_fpn_3x_pro300_coco/SIR_61.py @@ -1,4 +1,4 @@ -# method:flatten||api:paddle.tensor.ops.sigmoid||method:flatten||api:paddle.tensor.manipulation.concat||method:__gt__||method:all +# method:flatten||api:paddle.nn.functional.sigmoid||method:flatten||api:paddle.tensor.manipulation.concat||method:__gt__||method:all import paddle import unittest import numpy as np @@ -14,7 +14,7 @@ def forward( var_2, # (shape: [2], dtype: paddle.int32, stop_gradient: True) ): var_3 = var_0.flatten(start_axis=0, stop_axis=1) - var_4 = paddle.tensor.ops.sigmoid(var_3) + var_4 = paddle.nn.functional.sigmoid(var_3) var_5 = var_1.flatten(start_axis=0, stop_axis=1) var_6 = paddle.tensor.manipulation.concat([var_2]) var_7 = var_6.__gt__(-1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_135.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_135.py index f9aaf1da3e..7a23607554 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_135.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_135.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 48, 48], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_0, bias=self.parameter_1, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_140.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_140.py index 423cd1e18d..2c4c663fc0 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_140.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/vitdet_ppyoloe_vit_base_csppan_cae_36e_coco/SIR_140.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose +# api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -21,7 +21,7 @@ def forward( var_1, # (shape: [1, 80, 24, 24], dtype: paddle.float32, stop_gradient: False) ): var_2 = paddle.nn.functional.conv._conv_nd(var_0, self.parameter_1, bias=self.parameter_0, stride=[1, 1], padding=[1, 1], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_3 = paddle.tensor.ops.sigmoid(var_1) + var_3 = paddle.nn.functional.sigmoid(var_1) var_4 = var_3.flatten(2) var_5 = var_4.transpose([0, 2, 1]) var_6 = var_2.flatten(2) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_112.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_112.py index 0ef729ebd7..9070c4b286 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_112.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_112.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 80, 80], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 80, 80], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_118.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_118.py index 9984660225..5f445868cd 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_118.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_118.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 40, 40], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 40, 40], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_124.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_124.py index 9f33141e40..4bc2792358 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_124.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_124.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 20, 20], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 20, 20], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_125.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_125.py index 110bd07aa9..3d2a0605cf 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_125.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_cdn_tiny_300e_coco/SIR_125.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.tensor.ops.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -66,7 +66,7 @@ def forward( var_49 = out[1] var_50 = var_46.__truediv__(var_47) var_51 = var_48.__add__(var_50) - var_52 = paddle.tensor.ops.exp(var_49) + var_52 = paddle.exp(var_49) var_53 = var_52.__mul__(0.5) var_54 = var_51.__sub__(var_53) var_55 = var_51.__add__(var_53) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_184.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_184.py index c38a26180f..f7259b2090 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_184.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_184.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 68, 68], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 68, 68], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_190.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_190.py index 111e5bd6c1..cbbb8e0a07 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_190.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_190.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 34, 34], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 34, 34], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_200.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_200.py index 6117efe869..24a9f68437 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_200.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_200.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 17, 17], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 17, 17], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_201.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_201.py index 60816d1ccf..0e0cc3643c 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_201.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_crn_s_300e_coco/SIR_201.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.tensor.ops.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -66,7 +66,7 @@ def forward( var_49 = out[1] var_50 = var_46.__truediv__(var_47) var_51 = var_48.__add__(var_50) - var_52 = paddle.tensor.ops.exp(var_49) + var_52 = paddle.exp(var_49) var_53 = var_52.__mul__(0.5) var_54 = var_51.__sub__(var_53) var_55 = var_51.__add__(var_53) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_110.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_110.py index f597ae21d0..6979850464 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_110.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_110.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 96, 96], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 96, 96], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_116.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_116.py index 6723bf0a75..1de6933bb3 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_116.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_116.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 48, 48], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 48, 48], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_122.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_122.py index b3a089bbd3..2cf8ccbd63 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_122.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_122.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 24, 24], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 24, 24], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_123.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_123.py index 348618eb83..d53dcdc501 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_123.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_m_300e_coco/SIR_123.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.tensor.ops.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -66,7 +66,7 @@ def forward( var_49 = out[1] var_50 = var_46.__truediv__(var_47) var_51 = var_48.__add__(var_50) - var_52 = paddle.tensor.ops.exp(var_49) + var_52 = paddle.exp(var_49) var_53 = var_52.__mul__(0.5) var_54 = var_51.__sub__(var_53) var_55 = var_51.__add__(var_53) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_113.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_113.py index ff710bc556..9e4ef23b61 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_113.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_113.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 64, 64], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 64, 64], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_119.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_119.py index c86be7e7a4..d773838003 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_119.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_119.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 32, 32], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 32, 32], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_125.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_125.py index ce36fc6b72..4ffa3c141e 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_125.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_125.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 16, 16], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 16, 16], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_126.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_126.py index 5a014ad14c..97b65632b5 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_126.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_nano_300e_coco/SIR_126.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.tensor.ops.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -66,7 +66,7 @@ def forward( var_49 = out[1] var_50 = var_46.__truediv__(var_47) var_51 = var_48.__add__(var_50) - var_52 = paddle.tensor.ops.exp(var_49) + var_52 = paddle.exp(var_49) var_53 = var_52.__mul__(0.5) var_54 = var_51.__sub__(var_53) var_55 = var_51.__add__(var_53) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_109.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_109.py index 9863ed9ad0..39ebc2c9a3 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_109.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_109.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 72, 72], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 72, 72], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_115.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_115.py index 017e13788f..12a986cb2a 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_115.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_115.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 36, 36], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 36, 36], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_121.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_121.py index 85d8057771..b51f3fc9cb 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_121.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_121.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.tensor.ops.sigmoid||method:flatten||method:transpose +# api:paddle.nn.functional.sigmoid||method:flatten||method:transpose||api:paddle.tensor.manipulation.split||method:flatten||method:transpose||api:paddle.nn.functional.sigmoid||method:flatten||method:transpose import paddle import unittest import numpy as np @@ -12,7 +12,7 @@ def forward( var_0, # (shape: [1, 5, 18, 18], dtype: paddle.float32, stop_gradient: False) var_1, # (shape: [1, 80, 18, 18], dtype: paddle.float32, stop_gradient: False) ): - var_2 = paddle.tensor.ops.sigmoid(var_1) + var_2 = paddle.nn.functional.sigmoid(var_1) var_3 = var_2.flatten(2) var_4 = var_3.transpose([0, 2, 1]) out = paddle.tensor.manipulation.split(var_0, [4, 1], axis=1) @@ -20,7 +20,7 @@ def forward( var_6 = out[1] var_7 = var_5.flatten(2) var_8 = var_7.transpose([0, 2, 1]) - var_9 = paddle.tensor.ops.sigmoid(var_6) + var_9 = paddle.nn.functional.sigmoid(var_6) var_10 = var_9.flatten(2) var_11 = var_10.transpose([0, 2, 1]) return var_2, var_8, var_6, var_9, var_4, var_11 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_122.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_122.py index 3b7006b939..135b4de257 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_122.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Det_cases/yolox_yolox_x_300e_coco/SIR_122.py @@ -1,4 +1,4 @@ -# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.tensor.ops.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat +# api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.split||method:__truediv__||method:__add__||api:paddle.exp||method:__mul__||method:__sub__||method:__add__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.arange||method:__add__||method:__mul__||api:paddle.tensor.creation.meshgrid||api:paddle.tensor.manipulation.stack||method:reshape||api:paddle.tensor.creation.full||api:paddle.tensor.manipulation.concat||method:astype||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -66,7 +66,7 @@ def forward( var_49 = out[1] var_50 = var_46.__truediv__(var_47) var_51 = var_48.__add__(var_50) - var_52 = paddle.tensor.ops.exp(var_49) + var_52 = paddle.exp(var_49) var_53 = var_52.__mul__(0.5) var_54 = var_51.__sub__(var_53) var_55 = var_51.__add__(var_53) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Ocr_cases/det_ch_PP_OCRv3_ch_PP_OCRv3_det_cml/SIR_33.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Ocr_cases/det_ch_PP_OCRv3_ch_PP_OCRv3_det_cml/SIR_33.py index 3d12e1b723..8786399a2d 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Ocr_cases/det_ch_PP_OCRv3_ch_PP_OCRv3_det_cml/SIR_33.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Ocr_cases/det_ch_PP_OCRv3_ch_PP_OCRv3_det_cml/SIR_33.py @@ -1,4 +1,4 @@ -# method:__sub__||method:__rmul__||api:paddle.tensor.ops.exp||method:__radd__||api:paddle.tensor.ops.reciprocal||api:paddle.tensor.manipulation.concat +# method:__sub__||method:__rmul__||api:paddle.exp||method:__radd__||api:paddle.reciprocal||api:paddle.tensor.manipulation.concat import paddle import unittest import numpy as np @@ -14,9 +14,9 @@ def forward( ): var_2 = var_1.__sub__(var_0) var_3 = var_2.__rmul__(-50) - var_4 = paddle.tensor.ops.exp(var_3) + var_4 = paddle.exp(var_3) var_5 = var_4.__radd__(1) - var_6 = paddle.tensor.ops.reciprocal(var_5) + var_6 = paddle.reciprocal(var_5) var_7 = paddle.tensor.manipulation.concat([var_1, var_0, var_6], axis=1) return var_7 diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_199.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_199.py index a7b2e66046..615b3b7bdf 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_199.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_199.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape import paddle import unittest import numpy as np @@ -68,19 +68,19 @@ def forward( var_7 = paddle.nn.functional.conv._conv_nd(var_6, self.parameter_8, bias=self.parameter_9, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_8 = paddle.nn.functional.activation.relu(var_7) var_9 = paddle.nn.functional.conv._conv_nd(var_8, self.parameter_2, bias=self.parameter_6, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_10 = paddle.tensor.ops.sigmoid(var_9) + var_10 = paddle.nn.functional.sigmoid(var_9) var_11 = var_0.__mul__(var_10) var_12 = paddle.nn.functional.pooling.adaptive_avg_pool2d(var_1, output_size=1, data_format='NCHW', name=None) var_13 = paddle.nn.functional.conv._conv_nd(var_12, self.parameter_11, bias=self.parameter_7, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_14 = paddle.nn.functional.activation.relu(var_13) var_15 = paddle.nn.functional.conv._conv_nd(var_14, self.parameter_4, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_16 = paddle.tensor.ops.sigmoid(var_15) + var_16 = paddle.nn.functional.sigmoid(var_15) var_17 = var_1.__mul__(var_16) var_18 = paddle.nn.functional.pooling.adaptive_avg_pool2d(var_2, output_size=1, data_format='NCHW', name=None) var_19 = paddle.nn.functional.conv._conv_nd(var_18, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_20 = paddle.nn.functional.activation.relu(var_19) var_21 = paddle.nn.functional.conv._conv_nd(var_20, self.parameter_5, bias=self.parameter_10, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_22 = paddle.tensor.ops.sigmoid(var_21) + var_22 = paddle.nn.functional.sigmoid(var_21) var_23 = var_2.__mul__(var_22) var_24 = paddle.tensor.manipulation.concat([var_3, var_11], axis=1) var_25 = paddle.tensor.manipulation.concat([var_4, var_17], axis=1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_284.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_284.py index 60fbc33753..1bd8a090b2 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_284.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_284.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape import paddle import unittest import numpy as np @@ -86,25 +86,25 @@ def forward( var_9 = paddle.nn.functional.conv._conv_nd(var_8, self.parameter_12, bias=self.parameter_15, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_10 = paddle.nn.functional.activation.relu(var_9) var_11 = paddle.nn.functional.conv._conv_nd(var_10, self.parameter_9, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_12 = paddle.tensor.ops.sigmoid(var_11) + var_12 = paddle.nn.functional.sigmoid(var_11) var_13 = var_0.__mul__(var_12) var_14 = paddle.nn.functional.pooling.adaptive_avg_pool2d(var_1, output_size=1, data_format='NCHW', name=None) var_15 = paddle.nn.functional.conv._conv_nd(var_14, self.parameter_4, bias=self.parameter_13, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_16 = paddle.nn.functional.activation.relu(var_15) var_17 = paddle.nn.functional.conv._conv_nd(var_16, self.parameter_7, bias=self.parameter_8, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_18 = paddle.tensor.ops.sigmoid(var_17) + var_18 = paddle.nn.functional.sigmoid(var_17) var_19 = var_1.__mul__(var_18) var_20 = paddle.nn.functional.pooling.adaptive_avg_pool2d(var_2, output_size=1, data_format='NCHW', name=None) var_21 = paddle.nn.functional.conv._conv_nd(var_20, self.parameter_3, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_22 = paddle.nn.functional.activation.relu(var_21) var_23 = paddle.nn.functional.conv._conv_nd(var_22, self.parameter_6, bias=self.parameter_14, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_24 = paddle.tensor.ops.sigmoid(var_23) + var_24 = paddle.nn.functional.sigmoid(var_23) var_25 = var_2.__mul__(var_24) var_26 = paddle.nn.functional.pooling.adaptive_avg_pool2d(var_3, output_size=1, data_format='NCHW', name=None) var_27 = paddle.nn.functional.conv._conv_nd(var_26, self.parameter_2, bias=self.parameter_10, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_28 = paddle.nn.functional.activation.relu(var_27) var_29 = paddle.nn.functional.conv._conv_nd(var_28, self.parameter_11, bias=self.parameter_5, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_30 = paddle.tensor.ops.sigmoid(var_29) + var_30 = paddle.nn.functional.sigmoid(var_29) var_31 = var_3.__mul__(var_30) var_32 = paddle.tensor.manipulation.concat([var_4, var_13], axis=1) var_33 = paddle.tensor.manipulation.concat([var_5, var_19], axis=1) diff --git a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_59.py b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_59.py index 5f4446158c..adfe4259e1 100644 --- a/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_59.py +++ b/framework/e2e/PaddleLT_new/layercase/sublayer1000/Seg_cases/mobileseg_mobileseg_litehrnet18_cityscapes_1024x512_80k/SIR_59.py @@ -1,4 +1,4 @@ -# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.tensor.ops.sigmoid||method:__mul__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape +# api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.nn.functional.pooling.adaptive_avg_pool2d||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.activation.relu||api:paddle.nn.functional.conv._conv_nd||api:paddle.nn.functional.sigmoid||method:__mul__||api:paddle.tensor.manipulation.concat||api:paddle.tensor.manipulation.concat||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.attribute.shape||method:__getitem__||method:__getitem__||method:__getitem__||api:paddle.tensor.manipulation.reshape||api:paddle.tensor.linalg.transpose||api:paddle.tensor.manipulation.reshape import paddle import unittest import numpy as np @@ -50,13 +50,13 @@ def forward( var_5 = paddle.nn.functional.conv._conv_nd(var_4, self.parameter_7, bias=self.parameter_6, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_6 = paddle.nn.functional.activation.relu(var_5) var_7 = paddle.nn.functional.conv._conv_nd(var_6, self.parameter_5, bias=self.parameter_4, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_8 = paddle.tensor.ops.sigmoid(var_7) + var_8 = paddle.nn.functional.sigmoid(var_7) var_9 = var_0.__mul__(var_8) var_10 = paddle.nn.functional.pooling.adaptive_avg_pool2d(var_1, output_size=1, data_format='NCHW', name=None) var_11 = paddle.nn.functional.conv._conv_nd(var_10, self.parameter_2, bias=self.parameter_0, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) var_12 = paddle.nn.functional.activation.relu(var_11) var_13 = paddle.nn.functional.conv._conv_nd(var_12, self.parameter_3, bias=self.parameter_1, stride=[1, 1], padding=[0, 0], padding_algorithm='EXPLICIT', dilation=[1, 1], groups=1, data_format='NCHW', channel_dim=1, op_type='conv2d', use_cudnn=True) - var_14 = paddle.tensor.ops.sigmoid(var_13) + var_14 = paddle.nn.functional.sigmoid(var_13) var_15 = var_1.__mul__(var_14) var_16 = paddle.tensor.manipulation.concat([var_2, var_9], axis=1) var_17 = paddle.tensor.manipulation.concat([var_3, var_15], axis=1) From 264206d8a5da5171419fc515a31685dc5e5839bd Mon Sep 17 00:00:00 2001 From: Zeref996 <825276847@qq.com> Date: Tue, 16 Jun 2026 06:34:13 +0000 Subject: [PATCH 2/4] fix paddle repo tar upload --- .github/workflows/repo_sync_model_test_use.yml | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/.github/workflows/repo_sync_model_test_use.yml b/.github/workflows/repo_sync_model_test_use.yml index 9342da4686..cc4330deee 100644 --- a/.github/workflows/repo_sync_model_test_use.yml +++ b/.github/workflows/repo_sync_model_test_use.yml @@ -21,67 +21,54 @@ jobs: - repository: "PaddlePaddle/PaddleClas" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleClas" - repository: "PaddlePaddle/PaddleOCR" ref: "main" submodules: "false" - fetch_depth: 1 path: "PaddleOCR" - repository: "PaddlePaddle/PaddleDetection" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleDetection" - repository: "PaddlePaddle/PaddleSeg" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleSeg" - repository: "PaddlePaddle/PaddleTS" ref: "release_v1.1" submodules: "false" - fetch_depth: 1 path: "PaddleTS" - repository: "PaddlePaddle/PaddleNLP" ref: "release/2.9" submodules: "false" - fetch_depth: 1 path: "PaddleNLP" - repository: "PaddlePaddle/PaddleVideo" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleVideo" - repository: "PaddlePaddle/Paddle3D" ref: "develop" submodules: "false" - fetch_depth: 1 path: "Paddle3D" - repository: "PaddlePaddle/PaddleX" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleX" - repository: "PaddlePaddle/PaddleFormers" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleFormers" - repository: "PaddlePaddle/PaddleTest" ref: "develop" submodules: "false" - fetch_depth: 1 path: "PaddleTest" - repository: "PFCCLab/PaddleAPITest" ref: "main" submodules: "false" - fetch_depth: 1 path: "PaddleAPITest" - repository: "PFCCLab/PaddleCppAPITest" ref: "master" submodules: "false" - fetch_depth: 1 path: "PaddleCppAPITest" steps: - name: PaddleTest Checkout From 2ad91ec3f1b9168d91a57c5c92a1d78fc465ecbb Mon Sep 17 00:00:00 2001 From: Zeref996 <825276847@qq.com> Date: Tue, 16 Jun 2026 06:45:35 +0000 Subject: [PATCH 3/4] fix paddle repo tar upload --- .github/workflows/repo_sync_model_test_use.yml | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/.github/workflows/repo_sync_model_test_use.yml b/.github/workflows/repo_sync_model_test_use.yml index cc4330deee..bb2154c115 100644 --- a/.github/workflows/repo_sync_model_test_use.yml +++ b/.github/workflows/repo_sync_model_test_use.yml @@ -34,22 +34,6 @@ jobs: ref: "develop" submodules: "false" path: "PaddleSeg" - - repository: "PaddlePaddle/PaddleTS" - ref: "release_v1.1" - submodules: "false" - path: "PaddleTS" - - repository: "PaddlePaddle/PaddleNLP" - ref: "release/2.9" - submodules: "false" - path: "PaddleNLP" - - repository: "PaddlePaddle/PaddleVideo" - ref: "develop" - submodules: "false" - path: "PaddleVideo" - - repository: "PaddlePaddle/Paddle3D" - ref: "develop" - submodules: "false" - path: "Paddle3D" - repository: "PaddlePaddle/PaddleX" ref: "develop" submodules: "false" From cbfa47516a4e54c9df0f122eb568d2b4630777ea Mon Sep 17 00:00:00 2001 From: Zeref996 <825276847@qq.com> Date: Tue, 16 Jun 2026 06:49:01 +0000 Subject: [PATCH 4/4] fix paddle repo tar upload --- .github/workflows/repo_sync_model_test_use.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.github/workflows/repo_sync_model_test_use.yml b/.github/workflows/repo_sync_model_test_use.yml index bb2154c115..940be8078a 100644 --- a/.github/workflows/repo_sync_model_test_use.yml +++ b/.github/workflows/repo_sync_model_test_use.yml @@ -21,6 +21,7 @@ jobs: - repository: "PaddlePaddle/PaddleClas" ref: "develop" submodules: "false" + fetch_depth: 10 path: "PaddleClas" - repository: "PaddlePaddle/PaddleOCR" ref: "main" @@ -29,10 +30,12 @@ jobs: - repository: "PaddlePaddle/PaddleDetection" ref: "develop" submodules: "false" + fetch_depth: 10 path: "PaddleDetection" - repository: "PaddlePaddle/PaddleSeg" ref: "develop" submodules: "false" + fetch_depth: 10 path: "PaddleSeg" - repository: "PaddlePaddle/PaddleX" ref: "develop" @@ -45,14 +48,17 @@ jobs: - repository: "PaddlePaddle/PaddleTest" ref: "develop" submodules: "false" + fetch_depth: 1 path: "PaddleTest" - repository: "PFCCLab/PaddleAPITest" ref: "main" submodules: "false" + fetch_depth: 1 path: "PaddleAPITest" - repository: "PFCCLab/PaddleCppAPITest" ref: "master" submodules: "false" + fetch_depth: 1 path: "PaddleCppAPITest" steps: - name: PaddleTest Checkout