Bump onnx from 1.7.0 to 1.8.0 in /ngraph/python#1
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Bumps [onnx](https://github.com/onnx/onnx) from 1.7.0 to 1.8.0. - [Release notes](https://github.com/onnx/onnx/releases) - [Changelog](https://github.com/onnx/onnx/blob/master/docs/Changelog.md) - [Commits](onnx/onnx@v1.7.0...v1.8.0) Signed-off-by: dependabot[bot] <support@github.com>
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…notoolkit#3573) * [MO] Implement TensorFlow 2 While support in MO Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Add extractors for both While and StatelessWhile and do minor changes Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Improve update_body_graph function and manage graph names properly Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix a map for original name of parameters from body and cond Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Implement draft version of support of TF2 Keras RNN Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Implement Keras LSTM and GRU support in MO Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Improve code for Keras RNN support Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Finalize implementation of TF2 Keras RNN support in MO Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Apply the first part of the comments after review #1 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Avoid use of explicit values of port indices in the transformation Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Finalize code after the first-round review Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Apply comments after the second-round review Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
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* Moved cmake/templates to <root> * Removed ngraph versioning, reused IE one * Merged converage * Removed duplicatde ngraph cmake options * Moved dependencies to <root>/cmake * Removed installing of VERSION * Start #1 * cpack * Added component type * Added installation of tests targets * Added ngraph tests target install * Fixed runtime dependencies location * Disable GNA unit tests * Revert "Disable GNA unit tests" This reverts commit da53986. * Installed only core component * Replaced ENABLE_DEV_PKG_INSTALL with EXCLUDE_FROM_ALL * Removed extra cmake options
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* [FrontEnd]enable pdpd ops conversion part3 * Add adaptive pool2d op conversion (#1) * param support tensor (#2) * add missing sync_batch_norm * Update pow.cpp * deal empty axis (#5) * deal empty axis * apply review comments * fix code style * fix code style * change shape to i32 * fix code in shape * fix code style * fix paddle code style * remove redandent ops * fix maxAdativePool * fix expand_v2 * remove redandent code Co-authored-by: Mang Guo <mang.guo@intel.com> Co-authored-by: Luo Cheng <cheng.luo@intel.com>
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…f POT (openvinotoolkit#17398) * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update home.rst * Update ptq_introduction.md * Update Introduction.md * Update Introduction.md * Update Introduction.md * Update ptq_introduction.md * Update ptq_introduction.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update model_optimization_guide.md * Update ptq_introduction.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update Introduction.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update ptq_introduction.md * Update Introduction.md * Update model_optimization_guide.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update Introduction.md * Update FrequentlyAskedQuestions.md * Update model_optimization_guide.md * Update Introduction.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update ptq_introduction.md * Update ptq_introduction.md * added code snippet (#1) * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update model_optimization_guide.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update ptq_introduction.md * Delete ptq_introduction.md * Update FrequentlyAskedQuestions.md * Update Introduction.md * Update quantization_w_accuracy_control.md * Update introduction.md * Update basic_quantization_flow.md code blocks * Update quantization_w_accuracy_control.md code snippets * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> * Update model_optimization_guide.md * Optimization docs proofreading (#2) * images updated * delete reminder * review * text review * change images to original ones * Update filter_pruning.md code blocks * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update images (#3) * images updated * delete reminder * review * text review * change images to original ones * Update filter_pruning.md code blocks * update images * resolve conflicts * resolve conflicts * change images to original ones * resolve conflicts * update images * fix conflicts * Update model_optimization_guide.md * Update docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> * Update docs/optimization_guide/nncf/ptq/code/ptq_onnx.py Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> * Update docs/optimization_guide/nncf/ptq/code/ptq_aa_openvino.py Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> * Update docs/optimization_guide/nncf/ptq/code/ptq_openvino.py Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> * table format fix * Update headers * Update qat.md code blocks --------- Co-authored-by: Alexander Suslov <alexander.suslov@intel.com> Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
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* Remove `set_preprocess.cpp` * Remove `preprocessing.hpp` * Remove `locale.hpp` - ported to `CanCompileModelWithCustomLocale` * Port `version.cpp` and remove legacy * Revert shared `version.hpp`
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* Delete `ngraph/visibility.hpp` * Delete `ngraph/log.hpp` * Delete `ngraph/file_util.hpp` * Delete `ngraph/type.hpp` * Delete `ngraph/dimension.hpp` * Delete `ngraph/coordinate.hpp` * ClangFormat * Fix build * Fix pyngraph * Remove comment * Fix build
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### Details: - *item1* CID 1529754: (#1 of 1): COPY_INSTEAD_OF_MOVE (COPY_INSTEAD_OF_MOVE) 1. copy_constructor_call: node_info_table is passed-by-value as parameter to parse_freq_info_linux when it could be moved instead. Use std::move(node_info_table) instead of node_info_table. 221 node_info_table, 222 _processors, 223 _numa_nodes, 224 _sockets, 225 _cores, 226 _proc_type_table, 227 _cpu_mapping_table); ### Tickets: - *ticket-id*
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### Details:
- *fix coverity scan issue CID 1537543*
config.streamExecutorConfig =
IStreamsExecutor::Config{"CPUStreamsExecutor",
706 config.streams,
707 config.threadsPerStream,
708 ov::hint::SchedulingCoreType::ANY_CORE,
709 false,
710 cpu_pinning,
CID 1537543: (#1 of 1): COPY_INSTEAD_OF_MOVE (COPY_INSTEAD_OF_MOVE)
1. copy_constructor_call: streams_info_table is passed-by-value as
parameter to
ov::threading::IStreamsExecutor::Config::Config(std::string, int, int,
ov::hint::SchedulingCoreType, bool, bool, std::vector<std::vector<int,
std::allocator<int> >, std::allocator<std::vector<int,
std::allocator<int> > > >, std::vector<int, std::allocator<int> >) when
it could be moved instead.
Use std::move(streams_info_table) instead of streams_info_table.
711 streams_info_table};
712
### Tickets:
- *ticket-id*
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### Details: By this PR, the following tests are being added: 1. *OVBlobCompatibilityNPU.CanImportAllPrecompiledBlobsForAllOVVersionsAndDrivers* 2. *OVBlobCompatibilityNPU_PV_Driver_No_Throw.CanImportExpectedModelsForPVDriverAndAllOVVersions* Note that on Linux, `#2` is not supported and for Windows using PV driver, all the tests are skipped for `#1`. Total number of new added tests on Windows: 15 Total number of new added tests on Linux: 9 ### Tickets: - *162743*
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Bumps onnx from 1.7.0 to 1.8.0.
Release notes
Sourced from onnx's releases.
... (truncated)
Commits
994c618use 1.8.0 for the final Release (#3098)06aa517Update pybind11 to 2.6 to solve seg fault on Windows (#3095)cf1c281build protobuf in pipeline (#3083)87eb598use 1.8.0rc to test (#3073)63a5869ONNX 1.8 version bump (#3072)6c45a71Both update value_info and output for shape_inference undefined output (#3068)a7a0fecdefault NOTSET is OK (#3062)4bcff40update license info in community documentation (#3054)ff047efAdvance NLL loss to opset 13 (#3059)531e6ddfix the wrong example and add test (#3040)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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