How to convert a tensorflow faster rcnn pb model with two "pyFunc" ops? #121
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Dearest @chenaili6 : You bet. We can convert faster_rcnn models. Please check out the below documentation. Pay special attention to the version of Tensorflow used in the model because the *.json file you will use in the command is different per Tensorflow API version ! Thanks for using OpenVino ! Shubha |
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Thanks for your help! I can convert frozen models in Object Detection Model Zoo with python3 mo.py --input_model=/home/faster_rcnn_resnet101_coco_2018_01_28/frozen_inference_graph.pb --output=detection_boxes,detection_scores,num_detections --tensorflow_use_custom_operations_config extensions/front/tf/faster_rcnn_support.json --tensorflow_object_detection_api_pipeline_config /home/faster_rcnn_resnet101_coco_2018_01_28/pipeline.config . |
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Dearest @chenaili6 , may I kindly nudge you to download 2019 R1 ? The reason I ask is that many issues have been fixed in that release. Please try again with the latest release and post your findings here. Thank you for using OpenVino ! Shubha |
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@chenaili6 there is no way to convert the TF model with PyFunc operations because there is no implementation of this custom TF operations in the OpenVINO plugins. And the https://github.com/endernewton/tf-faster-rcnn model is not supported and there are no plans to support it. Please, use Tensorflow Object Detection Model zoo models instead. |
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Add ov:Tensor API test
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* WIP * update input validation * upsample_nearest2d and upsample_bilinear2d support * support leaky_relu add test for inplace relu * update tests, add handler for ListConstruct * Do not create extra outputs in main body * add positive case with non-default value * update testing * update test, handle non constant size and scale * remove ie_device * add aten::group_norm support * refactoring * Enable aten::reshape_as operator and add layer test * more tests * Fix typo in test * Resolve conflicts * fix code style * expand init version * expand_as and tests * add transposed convolutions support * add tests * initial support pad * add circular * update for differenced in rang * cleanup * refactor * more tests * apply review comments * Add split+listunpack transformation * Add split+getitem transformation * Add test cases * fix typo * Minor fixes * Apply suggestions from code review Co-authored-by: Maxim Vafin <[email protected]> * Apply suggestions from code review * Small fix * Support converting models without freezing * support BoolTensor and masked_fill * add support aten::rsqrt and test for sqrt * add cumsum and type_as * support clamp * support more matrix operations * add tests * Add aten::adaptive_avg_pool3d and layer test * Change to rank * fix code style in utils.hpp * Update src/frontends/pytorch/src/op_table.cpp Co-authored-by: Sergey Lyalin <[email protected]> * fix code style * add tests * add xfail * remove unnecessary broadcast * Changes required by style formater * aten::_convolution_mode * Changes requested by a reviewer * remove code duplication * add aten::unbind transformation * full, zeros and ones * Support getattr list and unrolling nested ifs * Remove line change * Enable back freezing in layer tests * Add aten::norm operator and layer test * Small fix in layer test * add aten::roll * add empty line * Typo fix * fix style * fix style v2 * add pytorch frontend to wheel * Support all types of numeric norms * add check for dynamic shapes * remove random change * merge statements * add min and max ops support * aten::max and aten::min * move axes range creation to utils * add transformation for tuple results, update tests * fix copyright * aten::var * add test and translation for numel * ignore aten::clone * Add layer test for aten::add operator * Fix typo * Remove redundant import * Add parameter name in forward method * fix code style * apply review comments * Add size+slice+listunpack transform * Add append listunpack transformation * Register transformation * aten::where * update realization * Fix issue with getitem * Fix getitem * Add layer test for aten::view operator * Add tests for listunpack * add test for aten::div * fix style * update aten::adaptive_max_pool2d * fix style * add aten::floor_divide * aten::addmm support alpha and beta with different dtype * nonzero * Change test name * update test cases to include other dtypes * aten::arange * prim::max transformation for ListConstruct * rename op * generalize conv2d implementation for conv1d and conv3d * aten::unsqueeze_ and tests for aten::unsqueeze (#70) * add aten::le, aten::ge and tests for other tensor comparision ops (#74) * add support trigonometry ops (#73) * support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72) Co-authored-by: Maxim Vafin <[email protected]> * extend and add tests for avg_pool and max_pool * extend tests and constant filling ops * fix as_tensor and full ops * aten::repeat * fix code style * aten::im2col (#61) * aten::im2col * remove debug prints, add number of elements check * fix failed tests * move helper function * use split * Update src/frontends/pytorch/src/op/im2col.cpp Co-authored-by: Maxim Vafin <[email protected]> * fix code style Co-authored-by: Maxim Vafin <[email protected]> * Update src/frontends/pytorch/src/utils.cpp Co-authored-by: Maxim Vafin <[email protected]> * fix code style * revert removeinf floordiv, add floor_divide file * Fix merge issue * reduce code duplication * refactor * Add len operator with layer test * update clamp to support mixed precision and add support torch.long for constants * aten::selu * add trunc mode to div * add else statement * Add test case to layer test * Fix submodules (#88) * update test file * fix namings * execute in fp64 and convert back to initial precision * Revert set_output_size to master. Small fix in If validate * Fix build and code style * fix failed tests * Add torchvision::nms operator and layer test * Change requested by a reviewer * Remove div test * convert constants to input type * Mark some cases in div tests as xfail (#93) * Small refactoring (#94) * Small refactoring * Fix type * Fix python codestyle * Incremental fix code style (#95) * Fix style (#96) * Fix copyright * Fix code style * Branch clean up (#97) * Optimize includes and force opset10 (#98) * Optimize includes * Force opset10 in pt fe * Fix codestyle (#99) * Fix style * Fix clang codestyle * Fix cerr with debug log * Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp * Add pytorch dependency only if pytorch frontend is enabled * Update src/bindings/python/src/pyopenvino/CMakeLists.txt * Add layer tests to precommit (#100) * Add layer tests to precommit * Remove accidentally added files * Apply code style on layer tests * batch norm tests and fixes * move default weight and bias to else block * reduce code duplication * Changes requested by a reviewer * Changes requested by a reviewer * Remove dependency from pytorch in pyopenvino (#102) * Remove dependency from pytorch when fe is disabled * Change docstring * Remove pytorch FE dependency from pyopenvino * Apply codestyle (#107) * Apply codestyle * Remove commented line * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Fix mock FE test (#108) * Fix mock PE test (#111) * Revert changes in StridedSlice (#114) * Small refactoring (#116) * Small refactoring * Fix codestyle * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Apply suggestions from code review * Update src/frontends/pytorch/src/op/group_norm.cpp * Fix cmake copyright define (#117) * Update src/frontends/pytorch/src/op/arange.cpp * Apply suggestions from code review * Update build configs (#120) * FIx build configs * Update type cast in full.cpp * Apply review feedback (#121) * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Fix issue after master merge (#122) * Fix issue after master merge * Fix build Co-authored-by: eaidova <[email protected]> Co-authored-by: bszmelcz <[email protected]> Co-authored-by: Sergey Lyalin <[email protected]> Co-authored-by: sikorsl1 <[email protected]> Co-authored-by: Leonard Sikorski <[email protected]> Co-authored-by: Mateusz <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]>
jane-intel
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* WIP * update input validation * upsample_nearest2d and upsample_bilinear2d support * support leaky_relu add test for inplace relu * update tests, add handler for ListConstruct * Do not create extra outputs in main body * add positive case with non-default value * update testing * update test, handle non constant size and scale * remove ie_device * add aten::group_norm support * refactoring * Enable aten::reshape_as operator and add layer test * more tests * Fix typo in test * Resolve conflicts * fix code style * expand init version * expand_as and tests * add transposed convolutions support * add tests * initial support pad * add circular * update for differenced in rang * cleanup * refactor * more tests * apply review comments * Add split+listunpack transformation * Add split+getitem transformation * Add test cases * fix typo * Minor fixes * Apply suggestions from code review Co-authored-by: Maxim Vafin <[email protected]> * Apply suggestions from code review * Small fix * Support converting models without freezing * support BoolTensor and masked_fill * add support aten::rsqrt and test for sqrt * add cumsum and type_as * support clamp * support more matrix operations * add tests * Add aten::adaptive_avg_pool3d and layer test * Change to rank * fix code style in utils.hpp * Update src/frontends/pytorch/src/op_table.cpp Co-authored-by: Sergey Lyalin <[email protected]> * fix code style * add tests * add xfail * remove unnecessary broadcast * Changes required by style formater * aten::_convolution_mode * Changes requested by a reviewer * remove code duplication * add aten::unbind transformation * full, zeros and ones * Support getattr list and unrolling nested ifs * Remove line change * Enable back freezing in layer tests * Add aten::norm operator and layer test * Small fix in layer test * add aten::roll * add empty line * Typo fix * fix style * fix style v2 * add pytorch frontend to wheel * Support all types of numeric norms * add check for dynamic shapes * remove random change * merge statements * add min and max ops support * aten::max and aten::min * move axes range creation to utils * add transformation for tuple results, update tests * fix copyright * aten::var * add test and translation for numel * ignore aten::clone * Add layer test for aten::add operator * Fix typo * Remove redundant import * Add parameter name in forward method * fix code style * apply review comments * Add size+slice+listunpack transform * Add append listunpack transformation * Register transformation * aten::where * update realization * Fix issue with getitem * Fix getitem * Add layer test for aten::view operator * Add tests for listunpack * add test for aten::div * fix style * update aten::adaptive_max_pool2d * fix style * add aten::floor_divide * aten::addmm support alpha and beta with different dtype * nonzero * Change test name * update test cases to include other dtypes * aten::arange * prim::max transformation for ListConstruct * rename op * generalize conv2d implementation for conv1d and conv3d * aten::unsqueeze_ and tests for aten::unsqueeze (#70) * add aten::le, aten::ge and tests for other tensor comparision ops (#74) * add support trigonometry ops (#73) * support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72) Co-authored-by: Maxim Vafin <[email protected]> * extend and add tests for avg_pool and max_pool * extend tests and constant filling ops * fix as_tensor and full ops * aten::repeat * fix code style * aten::im2col (#61) * aten::im2col * remove debug prints, add number of elements check * fix failed tests * move helper function * use split * Update src/frontends/pytorch/src/op/im2col.cpp Co-authored-by: Maxim Vafin <[email protected]> * fix code style Co-authored-by: Maxim Vafin <[email protected]> * Update src/frontends/pytorch/src/utils.cpp Co-authored-by: Maxim Vafin <[email protected]> * fix code style * revert removeinf floordiv, add floor_divide file * Fix merge issue * reduce code duplication * refactor * Add len operator with layer test * update clamp to support mixed precision and add support torch.long for constants * aten::selu * add trunc mode to div * add else statement * Add test case to layer test * Fix submodules (#88) * update test file * fix namings * execute in fp64 and convert back to initial precision * Revert set_output_size to master. Small fix in If validate * Fix build and code style * fix failed tests * Add torchvision::nms operator and layer test * Change requested by a reviewer * Remove div test * convert constants to input type * Mark some cases in div tests as xfail (#93) * Small refactoring (#94) * Small refactoring * Fix type * Fix python codestyle * Incremental fix code style (#95) * Fix style (#96) * Fix copyright * Fix code style * Branch clean up (#97) * Optimize includes and force opset10 (#98) * Optimize includes * Force opset10 in pt fe * Fix codestyle (#99) * Fix style * Fix clang codestyle * Fix cerr with debug log * Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp * Add pytorch dependency only if pytorch frontend is enabled * Update src/bindings/python/src/pyopenvino/CMakeLists.txt * Add layer tests to precommit (#100) * Add layer tests to precommit * Remove accidentally added files * Apply code style on layer tests * batch norm tests and fixes * move default weight and bias to else block * reduce code duplication * Changes requested by a reviewer * Changes requested by a reviewer * Remove dependency from pytorch in pyopenvino (#102) * Remove dependency from pytorch when fe is disabled * Change docstring * Remove pytorch FE dependency from pyopenvino * Apply codestyle (#107) * Apply codestyle * Remove commented line * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Fix mock FE test (#108) * Fix mock PE test (#111) * Revert changes in StridedSlice (#114) * Small refactoring (#116) * Small refactoring * Fix codestyle * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Apply suggestions from code review * Update src/frontends/pytorch/src/op/group_norm.cpp * Fix cmake copyright define (#117) * Update src/frontends/pytorch/src/op/arange.cpp * Apply suggestions from code review * Update build configs (#120) * FIx build configs * Update type cast in full.cpp * Apply review feedback (#121) * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Roman Kazantsev <[email protected]> * Fix issue after master merge (#122) * Fix issue after master merge * Fix build Co-authored-by: eaidova <[email protected]> Co-authored-by: bszmelcz <[email protected]> Co-authored-by: Sergey Lyalin <[email protected]> Co-authored-by: sikorsl1 <[email protected]> Co-authored-by: Leonard Sikorski <[email protected]> Co-authored-by: Mateusz <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]>
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The pre-trained model in https://github.com/endernewton/tf-faster-rcnn :res101_faster_rcnn_iter_110000.meta has more than one “pyfunc” tensorflow ops。I want to convert this model to openvino model， but failed with op “pyfunc”， is there a proper way to convert this model? Thank you very much!
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