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a2da1c3f3 TINYML_ALGO-583 8c55e5b1b TINYML_ALGO-571 47d35155e TINYML_ALGO-573 585533154 Pull request #77: Added fixed point feature extraction fns for MSPM0 5e6e20f44 Resolve qodo comments c8f56ed2a Typos fixed 2cc925ca5 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-tinyverse into MSPM0_V2 905ec3133 Bug fix 1af367e5d Pull request #76: Add PIR Feature Extraction - Fixed point 5092ed208 Add PIR Feature Extraction - Fixed point 980464fc7 Pull request #75: 2026/adithya/modelzoo 05b58ad72 updated the 55k generic TS models architecture to make sure all the layers are optimized to run on the NPU feae6571b minor 2d508f971 Pull request #74: args.output_int set by user is None by default b29f4df03 args.output_int set by user is None by default 30f427e8a Pull request #73: Fixed few datatypes issues in ondevice_training.py and updated the confusion matrix similar to classification style. 7efa609f0 Fixed few datatypes issues in ondevice_training.py and updated the confusion matrix similar to classification style. 46a631a63 TINYML_ALGO-457 369d98aef Pull request #72: Similar for image classifiication, forecasting, regression and anomaly detection ff4218f55 Similar for image classifiication, forecasting, regression and anomaly detection 68796da9a Pull request #71: TINYML_ALGO-566 Enable test_vector for mspm33 3afb48213 TINYML_ALGO-566 Enable test_vector for mspm33 2be6c3f0e Pull request #68: ecg classification model and feature extraction added 493524118 Pull request #70: TINYML_ALGO-513 : adding partial quantization variable and flow 6de8871e4 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-tinyverse into MSPM0_V2 fc21948f3 adding parser for partial_quantization 0431a19a9 adding partial quantization variable and flow 551f9fe7b changes regarding naming convention of pre-processing function 106930c68 Pull request #69: Added 1k model for regression TINYML_ALGO-243 Regression Models e529143b5 Added 1k model for regression TINYML_ALGO-243 Regression Models 36b835717 flag input_batch_norm is removed in the newer version, so i removed it too 78d06ef2d ecg classification model and feature extraction added 332ab4193 Bug fix, installing onnx-graphsurgeon a0b5bdc63 Pull request #67: Added support to export the trainable model by specifying k layers from last. 9f373c790 Added support to export the trainable model by specifying k layers from last. Used onnx_graphsurgeon to extract and export the last k layers 7e13fd7e0 TINYML_ALGO-542 707f87345 Pull request #66: TINYML_ALGO-538 Tinyverse: Support for SKIP_NORMALIZE, when feature extraction isn't used bedcfde7d TINYML_ALGO-538 Tinyverse: Support for SKIP_NORMALIZE, when feature extraction isn't used 1883e3000 TINYML_ALGO-537 e0e5b2a61 Pull request #59: Added RNN,LSTM,GRU layers and LSTM(hidden size=5) model bd6d7e6ef Bug Fix for TINYML_ALGO-531 4c858e07b golden vector generation in forecasting, code structural change that follows latest code changes in main-dev, Removed with_input_batchnorm in the LSTM models 99807e5af Merge branch 'main-dev' of bitbucket.itg.ti.com:tinyml-algo/tinyml-tinyverse into 2025/fasna a5441771e TINYML_ALGO-531 f77388724 Bug fix reported by Fasna 9341adeaf Bug fix reported by Fasna 98ac91bbf TINYML_ALGO-530 a080b508a TINYML_ALGO-530 71bef15ab Removed with_input_bathnorm from LSTM models 8c02ea3be rebase d95768987 TINYML_ALGO-529 21ab33803 TINYML_ALGO-528 31ad11f27 Code Cleanup c9eecaa28 TINYML_ALGO-523 f4654213d minor 15f4356d1 Added LSTM8 forecasting model a13b8b701 Code Cleanup c4a6f5b77 TINYML_ALGO-517, TINYML_ALGO-519, TINYML_ALGO-520 3ce34f723 TINYML_ALGO-522 a042db6ad TINYML_ALGO-522 ac077f7cb TINYML_ALGO-522 33e673b42 On Device Learning flow made available as an argument for all train scripts b132787d0 Pull request #65: Added support for on device learning in Tinyverse. 62f01b0ea Added support for on device learning in Tinyverse. Added a model with frozen and trainable parts and exported frozen model with tvm and created trainable_parameters.c/.h for the trainable parts of the model 945fd0115 Pull request #63: 2025/tushar 862771e90 TINYML_ALGO-515 Tinyverse: Incorrect raw_test_input when not using FE 97845ffc9 Pull request #62: fixed a small bug, when num_frame_concat is greater than 1, the feature_size_per_frame and stack frame width are getting populated wrongly 455ebd5d7 fixed a small bug, when num_frame_concat is greater than 1, the feature_size_per_frame and stack frame width are getting populated wrongly eb0d7951f max pool layer of kernel_size (1, 1) doesn't make sense de63b73d1 Merge branch 'main-dev' of bitbucket.itg.ti.com:tinyml-algo/tinyml-tinyverse into 2025/fasna 0ee469749 Pull request #61: Correction in default value of skip_normalize edd5ac28e Correction 03f80db3a Pull request #60: TINYML_ALGO-494 ModelMaker: Compilation arguments of skip_normalize and output_int required in user_input_config 659a2abc6 Included model_test_input in test_vector.c so as to align it with newer feature extraction library 7c5b8207a corrected output tensor shape 128716131 Added RNN,LSTM,GRU layers and LSTM(hidden size=5) model 3091af252 TINYML_ALGO-494 ModelMaker: Compilation arguments of skip_normalize and output_int required in user_input_config git-subtree-dir: tinyml-tinyverse git-subtree-split: a2da1c3f34095ef8175b9d924ef23e58bf805111
e710f52cb Typos fixed 23f40a615 Pull request #63: TINYML_ALGO-513 : adding partial quantization 6dcb1f6ab adding partial_quantization variable, removing .get for consistency 40b35d9ab adding variable partial_quantization in the flow and relevant changes 372127e0c regression flow changing call module check for Flatten 0facb9883 TINYML_ALGO-513 : adding partial quantization for regression flow 8fb67861e TINYML_ALGO-513 : adding partial quantization for regression flow cd5d0ad72 adding partial quantization for regression flow c609c450f Pull request #62: 2025/tushar 7ba5f67db TINYML_ALGO-549 Modeloptimization: Migrate legacy code of surgery to updated quant_helper_func.py 9dd8260e0 Improvements 4793099dd Readme improvements 40149c58a docstring python standard improvements from gpt 7bf9dc371 Bug Fix for TINYML_ALGO-531 870c61997 TINYML_ALGO-531 a2213a40b TINYML_ALGO-530 5872d8722 TINYML_ALGO-530 7f3e7f00c TINYML_ALGO-530 cd115f312 TINYML_ALGO-520 54461b2dd Pull request #61: 2025/tushar 96cdb6f26 Adaptive Avg Pool 2D correction e74ee0b5a TINYML_ALGO-408 ModelOptimization: AdaptiveAvgPool2D Non-Global doesn't let Linear layer to offload to NPU d5cb57528 Pull request #60: TINYML_ALGO-512: Support for RNN Transpose 91a577dd9 Support for RNN Transpose git-subtree-dir: tinyml-modeloptimization git-subtree-split: e710f52cb0b126609dd4a214859114e0dbaf914a
7ec2b0fb1 Updated 8dac85c2a Updated a650eab4c Bug fix that prevents forced_soft_npu_preset being used for devices without NPU 95e49e581 Updated json 4fe8faeff TINYML_ALGO-571 7b4e12e0d TINYML_ALGO-589 c24b2319e updated fd7ebdb6e Updated to make Training properties dynamic. TINYML_ALGO-589 66b2510f4 Pull request #82: New device_ new task type for MSPM0 00ed03111 no message 19f6f178c Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into MSPM0_V2 b534aa92f updated data capture and live preview sdk paths to the new applications for msp0:ecg, pir. corrected the baud rate for mspm0 ac arc fault data capture 87433a4ec Temporarily commented out example datasets for Model Composer 2fb3a3cd8 no message 097f21803 Pull request #81: Dev akshat 5c10fcf9c Resolved PR comments 2e263706c Merge branch 'MSPM0_V2' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into dev_akshat 08f56b60e updated permissions 850f680d1 Typos fixed 55f756720 Added F29 devices 1b19dd9a5 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into dev_akshat 6cd6a7363 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into MSPM0_V2 d8a68e4b4 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into MSPM0_V2 54eb751dc no message 1de858b12 Added support for MSPM0G3519 and regression task 2b22cecb3 Updated versions of codegen compilers f9b982868 no message 519f8bcff added ecg classification as a sepearate task 534d859c1 Updated e834a38d0 TINYML_ALGO-584 2a55be68b Bug fix causing task categories to be present under device preset descriptions whereas only task type should have been 2dde541b8 no message da8b2f8b0 Model Composer requirements f2f561db3 TIYNML_ALGO-579 c95222a92 no message 18d8ce43d Pull request #80: Add PIR detection app support for MSPM0 0b37eaf11 Add PIR detection app support for MSPM0 96be8d895 1. updated afci config file with the log300 dataset and preset. Added the labelling script aswell as a detailed readme for it a9a0ed5fa Pull request #79: 2026/adithya/modelzoo 7be383fb7 TINYML_ALGO-576 c18316873 TINYML_ALGO-457 1c96e1124 no message 3219a49b1 no message 1bcb28a28 Changed DARM_MATH_CM33 to DARM_CPU_INTRINSICS_EXIST 6656ecf10 Updated 81d92e95e TINYML_ALGO-565 b1160652c TINYML_ALGO-564 54d839e76 reduced epochs 295aa672e TINYML_ALGO-563 f99dc0069 TINYML_ALGO-562 a26a3a098 TINYML_ALGO-562 d995c7335 Pull request #73: ECG classification example b4fb91491 Pull request #78: TINYML_ALGO-513 - adding partial quantization variable and flow de047ddc7 merge conflict regarding dataset name cb7606c45 adding partial quantization variable and flow d2277efb6 dataset download link updated 3b179c9eb ecg 2 class dataset renamed 08640e413 merge conflict resolved f80bbeab9 Pull request #75: TINYML_ALGO-420 October App Example: Induction Motor Speed Prediction 5a6c577f3 Updated the model to TimeSeries_Generic_Regr_1k_t and device to F29H85x 825ae6e61 TINYML_ALGO-420 October App Example: Induction Motor Speed Prediction 5b7dc9f48 Minor c0e67d76d Pull request #74: Updated readme and config in modelmaker for electrical fault, grid stability, gas detection 27f5e38ed Dataset correction f5e8357d7 Dataset correction 5470fcbaf Dataset correction 1795889e8 Updated readme and config in modelmaker for electrical fault, grid stability, gas detection f5861c94b Pull request #71: TINYML_ALGO-513:adding partial quantization results in washing machine example ee8d569a2 Minor bug fix 5edd76a86 Minor bug fix 02f3768f6 feature extraction preset name change cddfddcc3 ecg classification model and its feature extraction added b46193836 Pull request #70: Added support to export the trainable model by specifying the trainable_layers_from_last parameter in the config file 8989c0380 Bug fixes 048fa3a36 TINYML_ALGO-513:adding partial quantization results in washing machine example b5ef1394f TINYML_ALGO-553 36badf0ed TINYML_ALGO-552 eceb8b06d TINYML_ALGO-552 941a8a7b1 bug_fix 42d3876e9 updated f2ddc82a4 TINYML_ALGO-551 8f467b9a6 TINYML_ALGO-551 18e65ce12 TINYML_ALGO-551 a64cc4bc0 Added support to export the trainable model by specifying the trainable_layers_from_last parameter in the config file d1c45c40b Bug fix 878c79061 Dynamically infer target_module from task_type ec11199b0 Bug fixes 51f8279a4 Minor addition 483a9c3ee updated json eb0d2bb86 TINYML_ALGO-548 e452ea02c Pull request #65: Added CC1352R device support for PIR detection 95a5d5ef1 TINYML_ALGO-548 47aa8f6e3 Added CC1352R device support for PIR detection 0506a8ef4 Minor update 6b10f3047 Pull request #68: Updates to config and readme for electrical fault, grid_fault and gas sensor 80b8fb21e Pull request #67: removing feature_size_per_frame from washing machine config.yaml 510da062f removing not-required params from config.yaml, washing machine 0f4a4168f removing not-required params from config.yaml, washing machine 967744368 removing model_config from washing machine config.yaml a7d4d3300 removing feature_size_per_frame from washing machine config.yaml 50a2f13ac Added model performance in each readme 3e75f5868 TINYML_ALGO-547 c858cda98 Made Washing Machine Models Generic 448b0ba64 Updates to readme for electrical fault, grid_fault and gas sensor 029aa545c TINYML_ALGO-546 8112bc383 TINYML_ALGO-543, TINYML_ALGO-544 4cfee1bc0 Pull request #66: changes in washing machine config.yaml 6eeab6627 changes in washing machine config.yaml d0e9d829c TIYNML_ALGO-543, TIYNML_ALGO-544, TIYNML_ALGO-545 c88730a3e Renamed a mce script 96ef81531 TINYML_ALGO-542 816986a9e Minor bug fix a0b07673f Pull request #64: TINYML_ALGO-539 Modelmaker: Support for regression compiler options for c29 d5f6004ee TINYML_ALGO-539 Modelmaker: Support for regression compiler options for c29 cd28fec21 Bug fix for TINYML_ALGO-537 4de80508a TINYML_ALGO-537 ae1d2b463 dockerfile update 339f82703 Minor bug fixes with Fasna f6875eb39 TINYML_ALGO-528 12e198988 Pull request #60: Added RNN,LSTM,GRU layers TINYML_ALGO-434 TINYML_ALGO-435 426440dc6 Added compilation presets for RNN/GRU/LSTM models with quantization 514a2dbe9 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into 2025/fasna b2fc86d6f NILM documentation 9fe1e0c13 Added PLAID NILM Classification example 865a3f10c Updated prediction plots of hvac indoor temperature forecast example 970b228b3 Added HVAC indoor temperature forecast example 5c889240b Updated performance metrics of forecast_pmsm_example 0e2c4ec64 Bug Fix for TINYML_ALGO-531 4125f60bd Updated arc_fault_example_dsk to dc_arc_fault_example_dsk f559efba9 Error in Documentation: Link that points to examples, run using npu and without npu were interchanged 75870f422 Deleted readme_old.md 9ea80b56f Updated Forecasting PMSM Example with updated model 50ed5541c TINYML_ALGO-535 6061cfc52 TINYML_ALGO-525, TINYML_ALGO-535 e9dd9fbae changes from main-dev 3772037b4 TINYML_ALGO-534 48946059a TINYML_ALGO-531 b21143753 Bug fix reported by Fasna 852652c20 TINYML_ALGO-530 4f109c0d9 TINYML_ALGO-530 daddd5c83 TINYML_ALGO-530 e5747d7ab TINYML_ALGO-530 da25254a7 rebase d80f98806 TINYML_ALGO-528 b6fa06069 TINYML_ALGO-527 29f40baa1 TINYML_ALGO-526 98c7c6283 TINYML_ALGO-523 ee96f7c23 TINYML_ALGO-523 cfe5cbf81 minor 99624d20d minor 135bc7a1f minor c8d5870d2 Updating pmsm example with new model (no scaling of dataset) 949cedb5c Updating pmsm example with new model (no scaling of dataset) cc82a230f Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into 2025/fasna 59f3f068e Code cleanup 83bfd804e description json update 846b15668 TINYML_ALGO-517, TINYML_ALGO-519, TINYML_ALGO-520 d93deeec8 TINYML_ALGO-521 b2e4c5be5 Minor fix for On device training 4b7eaec4c Pull request #63: Added support for ondevice learning for anomaly detection in modelmaker. 6b179ccb9 TINYML_ALGO-521 75fc689b6 TINYML_ALGO-521 2fb9ab138 TINYML_ALGO-511 534ddf2b8 TINYML_ALGO-521 9ed207d24 TINYML_ALGO-521 5e5cae259 TINYML_ALGO-511 526e6c57f Added support for ondevice learning for anomaly detection in modelmaker. Now, all the artifacts that are needed for ondevice learning are generated. 9feca716b Pull request #62: TINYML_ALGO-419 September App Example: Tushar 61ec1c405 Updated the link of dataset 8cd65ae79 Added torque example as a use case in readme 0d5875f44 Completed the readme a809a9640 Wrote partial readme a92023bb1 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into 2025/fasna 2225aa03e TINYML_ALGO-419 September App Example: Tushar 19377a391 Pull request #61: TINYML_ALGO-494 ModelMaker: Compilation arguments of skip_normalize and output_int required in user_input_config bb3d009e5 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into 2025/fasna 340161d3c minor e5e3140a9 Added RNN,LSTM,GRU layers 9a94c6258 TINYML_ALGO-494 ModelMaker: Compilation arguments of skip_normalize and output_int required in user_input_config 805859327 Pull request #58: TINYML_ALGO-496 296d0ad42 Pull request #53: Added readme's for Autoencoder architectuer, Training and evaluation strategy for anomaly detection and Fan blade anomlay detection example 156d52119 minor 817b4d5b3 Removed forecasting task from mspm0g3507 e41ca22cd Applied -O1 optimization only for forecasting applications f95b20878 Merge branch 'main-dev' of ssh://bitbucket.itg.ti.com/tinyml-algo/tinyml-modelmaker into 2025/fasna 5ff101d3c Updated NILM readme: Added ondevice results 427247589 Added motor fault anomaly detection example Fixed typos in other readmes Updated the feature extraction name in motor fault anomaly detection to newly crated preset b2ee6c2d3 Added readme's for Autoencoder architectuer, Training and evaluation strategy for anomaly detection and Fan blade anomlay detection example b764e9151 Temporary workaround: Use -O1 optimization for C28x compilation until compiler bug is fixed b7f4697a6 Set output_int=false in C28_HARD_TINPU compilation preset for consistency with golden vectors git-subtree-dir: tinyml-modelmaker git-subtree-split: 7ec2b0fb1cb492d6d3402c5d62ea1a24a2b61d17
90d8c9d33 Pull request #3: 2026/adithya/modelzoo c64a128c1 Changed file name 6860ebdb5 TINYML_ALGO-578, TINYML_ALGO-365, TINYML_ALGO-491, TINYML_ALGO-576, TINYML_ALGO-577 b8f40a400 TINYML_ALGO-576 440d70c31 TINYML_ALGO-576 ab73eeec8 TINYML_ALGO-457 6d839ad31 TINYML_ALGO-457 git-subtree-dir: tinyml-modelzoo git-subtree-split: 90d8c9d3340a5b27132e631593b0915bbeac4b31
7cd33257b Pull request #78: TINYML_ALGO-609: fix: resolve torch tensor and numpy compatibility issues in timeseries forecasting 41837b433 fix: resolve torch tensor and numpy compatibility issues in timeseries forecasting git-subtree-dir: tinyml-tinyverse git-subtree-split: 7cd33257b3da854c7b73cbfbc7f346be9a27e40f
7dd6698c7 Updated 1421dcad9 hello_world renamed to generic_timeseries_classification for consistency 0f6421386 Updated 9d51bf6a9 Pull request #86: TINYML_ALGO-497: Revert C28x compilation to -O3 optimization after compiler bug fix 5224a3c4f Revert C28x compilation to -O3 optimization after compiler bug fix b9b8e1794 Pull request #85: TINYML_ALGO-611, TINYML_ALGO-612, TINYML_ALGO-613: Add compiler options for F29x , AM26x and MSPM33C32 devices a9ea1da31 Fixed the sdk link of am261 506735c6b Enabled compiler options for AM26x, F29x, M33 20b5b1cb1 Add comprehensive documentation for deploying time series forecasting models to TI MCUs 15ee9a213 fix device family classification for MSPM33C321Ax 6ef9d9566 Added compiler options for F29H85 0fea18d8f docs: add guide for deploying forecasting models from ModelMaker to device 057c58c46 Pull request #84: Enabled compilation options for anomaly detection and added compilation option for F29H85 device 99dbb5cab Enabled compilation options for anomaly detection and added compilation option for F29H85 device git-subtree-dir: tinyml-modelmaker git-subtree-split: 7dd6698c79b506159fda153d2c0f9e3993e3c184
4684566a6 Bug fixes in regression models 4d1f0585a Pull request TexasInstruments#13: Correcting sdk versions and adding regression compilation doc link at end of each regression example f697a0cfc Pull request #15: Updated the sdk versions and added compilation readme to other examples for anomaly detection. 0b37b49c4 Updated the sdk versions and added compilation readme to other examples for anomaly detection. 6d77757c9 correcting sdk versions, adding compilation guide link at end of regression examples 1b1260c24 Pull request TexasInstruments#12: Linking classification on-device model inference guide at the end of two NILM examples 3f7130f04 Linking classification on-device model inference guide at the end of two NILM examples ce0ed2aed Pull request TexasInstruments#10: TINYML_ALGO-606 bdfaccb0b Updates e0c0edc08 Pull request TexasInstruments#11: Added generic timeseries anomaly detection example and created readme for running the model and deploying it to the device 51d3d48cf Pull request TexasInstruments#8: [TINYML_ALGO-580: Hello World Example] [TINYML_ALGO-610: Guide for deploying forecasting models from ModelMaker to device] e70541efc Pull request TexasInstruments#9: TINYML_ALGO-592, TINYML_ALGO-587 : Hello world example for regression and running on device documentation 0195a77f5 path changes in generic_timeseries_regression readme 500ca77aa path changes in generic_timeseries_regression readme 4fc44678a Linking running model inference ondevice doc to other forecasting examples 587fe36e7 Minor fix 8f377f19c Modified supported devices ca5a291a1 Modified pmsm example 7c773be9b Changed input data path, Added forecasting support for these target devices: F29x, AM26x and M33 752a00776 Updated dataset links in generic timeseries anomaly detection b75c2d0fb Added hello world example assets ed6c6c9a3 Modified hello world readme to comply with latest changesin modelzoo f0d24bd5a Add comprehensive documentation for deploying time series forecasting models to TI MCUs a4d8820b2 readme correction 07600f3b2 name change 7ef91aa95 Spell check and naming convention bd49a4481 Added from other docs fb971e77c image correction a16087389 Added generic timeseries anomaly detection example and created readme for running the model and deploying it to the device TINYML_ALGO-605 TINYML_ALGO-432 faadabc8c Updates 992951444 TINYML_ALGO-606 Modelzoo: Added compilation guide for classification examples d9c463710 changing torque_measurement_regression example readme to include deployment on device document e6a5dd1e8 changing washing machine example readme to include deploying on device 91d3fea0d regression hello world, and deploying on device fb2f8ea9f regression hello world, and deploying on device e44d6cf82 Simulated Thermostat Dataset as Generic Timeseries Forecasting example: Initial Commit dc1624c86 TINYML_ALGO-591 073f08482 Content Updates c2d83fca1 Updated to an existing model b9b6206d9 Pull request TexasInstruments#7: fixes for EAI Studio 4fd51e18c no message 333a1083f resolved merge conflict 2aa3e0537 added msp devices to ecg and pir classification aswell as make the cls 55k model specfic to ecg classification application 807e74d99 TINYML_ALGO-589 0c30971be TINYML_ALGO-589 6e9ea5192 Pull request TexasInstruments#6: corrections in the yaml file c3e239456 corrections in the yaml file 091b4ba67 Added dataset path 2fc093874 Pull request #4: TINYML_ALGO-585 : Adding plots in washing machine readme.md 3324caf3a Pull request TexasInstruments#5: MSPM0 6663c3ae7 corrected the model names for the msp config yaml files 830b37a1d bug fix 3c25f461a Added ac arc fault, ecg, motor fault and pir config files for mspm0. added ecg as a task type 3ade6642a Typos Fixed b7eb41039 NPU opt models for regression 88786d98b run_info update for regression models e82d42ede added support for MSPM0G3519, and regression for MSPM0 2e1a7fb77 TINYML_ALGO-585: Washing machine weight loading readme adding plots 135dc7dbb TINYML_ALGO-585: Washing machine weight loading readme adding plots a756a9e48 TINYML_ALGO-585: Washing machine weight loading readme adding plots 047e30960 Minor 6041d2989 updated 6d9a53f48 Merge branch 'main' into main-dev 5aa8f709c Removed files 013d590b7 Added performance comparison of Motor Fault GUI models git-subtree-dir: tinyml-modelzoo git-subtree-split: 4684566a609cde41175310f7f012845b046529fc
d5148d0ea TINYML_ALGO-532 1fe831241 TINYML_ALGO-638 6828df1f9 Pull request #79: Adding LR logs using Metric logger in regression e777c8b1f changing log for test to match other flows bd15248e0 lr in logs using metric logger 79cf4e872 minor git-subtree-dir: tinyml-tinyverse git-subtree-split: d5148d0ea1c68ef2d01fff544ad633f5d264c0b0
987058086 TINYML_ALGO-531 bc10f9d07 updated wrong doc 06b9a01ca Pull request #64: MSPML-130(https://jira.itg.ti.com/browse/MSPML-130) 0d1aaa61f no message 43f0acff8 MSPML-130(https://jira.itg.ti.com/browse/MSPML-130) ONNX export fails with "view size not compatible with input tensor's size and stride" error while running tinyml-modeloptimization MNIST example. git-subtree-dir: tinyml-modeloptimization git-subtree-split: 9870580860f8519c5cb1c42b2bcbbe4b54c9913a
e52fac343 TINYML_ALGO-639 9a2aba77b TINYML_ALGO-638, TINYML_ALGO-636, TINYML_ALGO-621, TINYML_ALGO-620, TINYML_ALGO-619, TINYML_ALGO-616 5323cc710 Pull request #91: Adding regex expressions for regression flow d21926f25 Pull request #92: TINYML_ALGO-635: Added regex patterns for displaying epoch progress, loss, test metrics for forecasting training 162b7ff68 Added regex patterns for displaying epoch progress, loss, test metrics for forecasting training 08299f173 regex logs for regression and changes in classification regex logs 34073ded3 Updated c2000ware version to 6.01 47410b62f regenerated bb5c949f4 regenerated 23a5ad9f6 Pull request #88: Added CC1354 device support for PIR detection cc15b8917 Added CC1354 device support for PIR detection 46c61b4be Updated d96d8ab7c Pull request #89: TINYML_ALGO-629 Partial Quantization should have skip_norm as false for compilation a5dff74af TINYML_ALGO-629 Partial Quantization should have skip_norm as false for compilation cf38c1a25 Pull request #90: Added CC35X1 device support for PIR detection 335574b73 Added CC35X1 device support for PIR detection ddc164b47 TINYML_ALGO-624, TINYML_ALGO-621, TINYML_ALGO-620, TINYML_ALGO-619 448b4acf5 Minor typos 8f8d59c93 regenerated 019074fc3 Fixed typos 8d2a72072 Pull request #87: enabled all task_types for all 3 mspm0 devices 94de9a4f6 no message 4df69f803 enabled all task_types for all 3 mspm0 devices git-subtree-dir: tinyml-modelmaker git-subtree-split: e52fac343e0199d89ea5985e70b363b78677454c
5f59c72ae TINYML_ALGO-650 e7c6f4593 version update git-subtree-dir: tinyml-modelmaker git-subtree-split: 5f59c72ae89e4bcaca51f43ae33a0643fe68bea5
549b8b10a Connectivirty compiler options changes 3fa0a821b Pull request #96: Enabled CDE for CC2755 and CC35X1, Updated Plugin Version, Bug Fixes 104290038 Enabled CDE for CC2755 and CC35X1, Updated Plugin Version, Bug Fixes git-subtree-dir: tinyml-modelmaker git-subtree-split: 549b8b10aea5d60dd2229cc24b203dd151cca44b
3da5fc681 updated 3d9526137 Pull request #97: Updated Paths a4f6e8248 Updated Paths git-subtree-dir: tinyml-modelmaker git-subtree-split: 3da5fc681d02144f511ef3f9c2838923662a7def
bf30cb3e5f bug fix causing a difference in feature extraction with RAW based presets 0225213850 Pull request #82: Updated logs to print the average mse of epoch as well along with the first batch mse d7f07bea4d Updated logs to print the average mse of epoch as well along with the first batch mse git-subtree-dir: tinyml-tinyverse git-subtree-split: bf30cb3e5f8c98fdf876dbdd3867050efcf4ed24
cfbd476549 updated version 8d9795c543 updated git-subtree-dir: tinyml-modelmaker git-subtree-split: cfbd476549f82727755a6e601c44ce45deabca13
c30000aa7e TINYML_ALGO-652 b1f8eece35 pytorch export of models with output size 4,1 is not supported. Changed to 1,1 git-subtree-dir: tinyml-modelzoo git-subtree-split: c30000aa7e091b13818f50737e768e36e73e26aa
bb68e88654 Pull request #83: edgeai studio regx fix for mspm0 34bab9ef7d added support for q15-scale-factor( consumed by the rfft preprocessing even for regression task) in train.py and test_onnx.py for timeseries_regression task aswell git-subtree-dir: tinyml-tinyverse git-subtree-split: bb68e886540b7c3c9b2568e27c3e124792311c36
8121688a updated 693b9b7e Pull request #100: mce documentation 995879b3 no message 76fd6510 no message 5d9ea9bb no message 2c0d4b75 no message ea046c31 added paths to the readme's for pir_detection, ecg_classification, generic_timeseries_classification, arc_fault and motor_fault Task types- for data capture and live preview 84154c41 Updated 5a50723c Pull request #98: edgeai studio regression task failure fix ece69504 Updated mspm0 sdk version ffbb3204 added support for q15-scale-factor( consumed by the rfft preprocessing even for regression task) in timeseries_regression.py git-subtree-dir: tinyml-modelmaker git-subtree-split: 8121688a7ab210862f342bd3b9cb843234c1ef78
ec62234a Bug fix git-subtree-dir: tinyml-modelzoo git-subtree-split: ec62234a1cd3477be84eef15f1a0f2d73641399e
ce0619db TINYML_ALGO-663 git-subtree-dir: tinyml-tinyverse git-subtree-split: ce0619db22b86f17b86fc2998ab46b7f684a9f49
b4a285c1 TINYML_ALGO-663 git-subtree-dir: tinyml-modeloptimization git-subtree-split: b4a285c18bc9c1bb665d7a68cab2f28470a227ca
96b0625f TINYML_ALGO-663 git-subtree-dir: tinyml-modelmaker git-subtree-split: 96b0625fb12dfc03a3b031896b279a311d5eec6a
d136bea0 TINYML_ALGO-663 git-subtree-dir: tinyml-modelzoo git-subtree-split: d136bea09de9c03b3c9df9f4c7925b1ab7c7a44e
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