The Paddle border-op CPU-branch regression (source/tests/pd/test_border_op.py) cannot fail in any current CI pipeline:
.github/workflows/test_cuda.yml sets DP_ENABLE_PADDLE: "0" at workflow level, so both GPU jobs build without Paddle..github/workflows/test_python.yml installs Paddle from the cpu nightly index.copy_local_tensor_data in source/op/pd/comm.cc is compiled only under GOOGLE_CUDA/TENSORFLOW_USE_ROCM.
Net effect: no configuration builds Paddle with CUDA, so the operator path touched by #5832 is neither compiled nor executed in CI. A regression to an unconditional gpuMemcpy would go undetected.
Proposal: add a CI configuration (or a manual/GPU workflow) that builds the Paddle custom operator with CUDA so the test_border_op_self_copy_uses_cpu_place CPU-branch test and the rest of source/op/pd/ get real coverage.
Related: #5832
The Paddle border-op CPU-branch regression (source/tests/pd/test_border_op.py) cannot fail in any current CI pipeline:
.github/workflows/test_cuda.ymlsetsDP_ENABLE_PADDLE: "0"at workflow level, so both GPU jobs build without Paddle..github/workflows/test_python.ymlinstalls Paddle from the cpu nightly index.copy_local_tensor_datain source/op/pd/comm.cc is compiled only underGOOGLE_CUDA/TENSORFLOW_USE_ROCM.Net effect: no configuration builds Paddle with CUDA, so the operator path touched by #5832 is neither compiled nor executed in CI. A regression to an unconditional
gpuMemcpywould go undetected.Proposal: add a CI configuration (or a manual/GPU workflow) that builds the Paddle custom operator with CUDA so the
test_border_op_self_copy_uses_cpu_placeCPU-branch test and the rest of source/op/pd/ get real coverage.Related: #5832