Bump onnx from 1.7.0 to 1.8.0 in /ngraph/python#1
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Bump onnx from 1.7.0 to 1.8.0 in /ngraph/python#1dependabot[bot] wants to merge 1 commit intomasterfrom
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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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…nvinotoolkit#2450) * Some code style fixes. * Started to write the method v5::NonMaxSuppression::evaluate(). * Started to write nGraph reference implementation of NMS-5. * Some additions. * Written preprocessing of boxes data. * Started to write the function non_max_suppression() that calculates NonMaxSuppression-5 operation. * Written postprocessing of the evaluate(). * Small fixes. * Small fix. * Added include for ngraph/shape.hpp. * Written the function intersectionOverUnion. * Some additions. * Small fix. * Continued to write the function non_max_suppression(). * Small fixes. * Small fixes. * Some changes. * Some additions. * Some replacements size_t by int64_t. * Added casts to float in the construction of selected_score variable. * Code style fixes. * Written draft of NMS-5 nGraph reference implementation. * Code style fixes. * Started to write tests for void op::v5::NonMaxSuppression::validate_and_infer_types(). * Added tests for scalars/nonscalars. * Fixes in the test type_prop.nms_v5_output_shape. * Fixes in tests nms_v5_output_shape_2 and nms_v5_output_shape. * Written tests for validate_and_infer_types() of NMS-5. * Code style fixes. * Now NMS-5 evaluate() can have outputs with calculated shapes. * Small fixes. * Corrected tests for NMS-5 validate_and_infer_type(). * Code style fixes. * Started to write inner version of NMS-5 with static output shapes. * Written draft of the inner operation NonMaxSuppressionIE3. * Started to write conversion of op::v5::NonMaxSuppression into NonMaxSuppressionIE3. * Small changes. * Some additions. * Small fixes. * Fixed typo. * Fixed typos. * Written draft of the transformation ConvertNMS5ToLegacyMatcher that converts ngraph::opset5::NonMaxSuppression into op::NonMaxSuppressionIE3. * Written header file for the transformations from NMS-1, NMS-3, NMS-4 to NMS-5. * Started to write conversion of NMS-4 to NMS-5. * Added include for ngraph/opsets/opset4.hpp. * Started to write conversion of NMS-3 to NMS-5. * Small fixes. * Written draft of the conversion of NMS-3 into NMS-5. * Fixed typo. * Started to write conversion of NMS-1 to NMS-5. * Written draft of the conversion NMS-1 to NMS-5. * Started to write tests for the conversion nGraph NMS-5 to inner NMS. * Started to write the test ConvertNMS5ToNMSIEStatic. * Written tests for conversion of nGraph NMS-5 to inner NMSIE3. * Started to write tests for conversion of previous NMS to nGraph NMS-5. * Written tests for conversion of old nGraph NMS to NMS-5. * Started to write tests for opset5::NonMaxSuppression::evaluate(). * Some additions. * Small fix. * Written tests for op::v5::NonMaxSuppression::evaluate(). * Used NGRAPH_RTTI_DECLARATION for NonMaxSuppressionIE3. * Used NGRAPH_RTTI_DECLARATION for NMS-5. * All static local constants and functions for NMS-5 were moved into non-named namespace. * Some code style fixes. * Moved some file. * Small fix. * Code style fix. * Now NMS-5 supports all floating types in inputs 0 and 1. * Moved some files. * Fixed include directive in the file convert_nms_5_to_legacy.cpp with transformations NMS-1, 3, 4 -> NMS-5. * Small changes. * Deleted conversion NMS-3 -> legacy. * Small changes. * Fix in op::v5::NonMaxSuppression::evaluate: output shape [1] instead of [] in the output port 2. * Code style fixes. * Deleted conversion of NMS-4 into legacy NMS. * Deleted redundant ifs. * Added NMS-5 to Python API. * Code style fix. * Small change. * Fixed element type for constants in the conversion of NMS-5 to NMSIE3. * Deleted support of f64 in NMS-5. * Added checks for input element types for inputs #0, #1, #3, #4, #5. * Small change. * Now get_floats throws an exception for unsupported types. * Now nGraph NMS-5 supports 0D and 1D tensors in inputs #2, #3, #4, #5. * Small fix in test_non_max_suppression. * Deleted using namespace std * Fixes in test_non_max_suppression(). * Small fixes. * Added 'import PartialShape' in test_reduction.py. * Deleted creating fake inputs in the ctor of op::v5::NonMaxSuppression. * Deleted creating fake inputs in op::v5::NonMaxSuppression::clone_with_new_inputs. * Corrections in int64_t op::v5::NonMaxSuppression::max_boxes_output_from_input() const. * Corrected functions float op::v5::NonMaxSuppression::soft_nms_sigma_from_input() const, float op::v5::NonMaxSuppression::score_threshold_from_input() const, float op::v5::NonMaxSuppression::iou_threshold_from_input() const. * Small fixes. * Deleted commented code. * Fixes in nms_v5_scalar_inputs_check. * Some changes. * Small fixes. * Code style fixes. * Small changes. * Small changes. * Small fix. * Deleted commented code. * Some refactoring in ConvertNMS4ToNMS5 ctor. * Small fix. * Common part of conversions NMS-1 -> NMS-5, NMS-3 -> NMS-5, NMS-4 -> NMS-5 was moved into the separate function. * Now conversions NMS-1 -> NMS-5, NMS-3 -> NMS-5, NMS-4 -> NMS-5 support both 2 inputs, and 5 inputs. * Now transformations NMS-1 -> NMS-5, NMS-3 -> NMS-5, NMS-4 -> NMS-5 are called from 'umbrella' transformation. * Now the transformation ConvertNMS5ToLegacyMatcher supports NMS-5 with 2, 3, 4, 5, or 6 inputs. * The transformation ConvertNMS5ToLegacyMatcher was rewritten using Reshape instead of Unsqueeze. * Started to rewrite tests for the transformation ConvertNMS5ToLegacyMatcher. * Some fixes. * Small fixes. * Corrected tests for the transformation NMS-5 -> NMSIE3. * Small formatting fix. * Now methods max_boxes_output_from_input(), iou_threshold_from_input(), score_threshold_from_input(), soft_nms_sigma_from_input() of op::v5::NunMaxSuppression are public. * Started to move op::v5::NonMaxSuppression::evaluate() into ngraph/test/runtime/interpreter. * Added NMS-5 to ngraph/test/runtime/interpreter/int_executable. * Small fixes. * Code style fixes. * Written draft test nonmaxsuppression_center_point_box_format_backend in ngraph/test/backend. * Small fix. * Written draft tests of NonMaxSuppression in ngraph/test/runtime. * Some changes. * Small changes. * Disabled IE_CPU tests for NMS-5. * Deleted op_eval tests for NMS-5. * Deleted evaluate() method of NMS-5. * Now all nGraph functions in tests of the transformation NMS-5 -> NMSIE3 have one output. * Now preprocessing and postprocessing of the calculation of NMS-5 in reference implementation. * Code style fixes. * Some fixes in tests for the transformation NMS-5 -> NMSIE3. * Replaced precision i64 -> i32 for some constants in tests for the transformation NMS-5 -> NMSIE3. * Written creating CNNLayer for NMS-5. * Added creating CNNLayer for NonMaxSuppressionIE3. * some changes. * Now conversions NMS-1, NMS-3, NMS-4 -> NMS-5 and NMS-5 -> NMSIE3 generate NMS nodes with 5 inputs. * Fixed ctor in MKLDNN NonMaxSuppressionImpl: validation of number of output edges. * Added conversion of output_type for NMS-5. * Fixes in the transformation NMS5 -> NMSIE3. * Fixes in the conversion of NMS-5 to NMSIE3. * Fixes in MKLDNN NMS ctor. * Small fix. * Fixed tests for the transformation NMS5 -> NMSIE3. * Fixed tests for conversions NMS-1, NMS-3, NMS-4 -> NMS-5. * Small fixes in MKLDNN NMS ctor. * Rewritten create_layer() functions for NMS-5 and NMSIE3 as addSpecificCreator() functions. * Disabled tests for IE IR reader for NMS-4. * Deleted debug code. * Added comment about disabling tests IE_CPU.nonmaxsuppression. * Written IE IR Reader test for NMS-4. * Deleted function float_from_constant_node. * Small fixes. * Deleted functions function_from_model and construct_weights. * Small fix. * Replaced push_back with emplace_back in the conversion of NMS-5 to legacy. * Small changes. * Some fixes. * Refactored reference implementation of NMS-5. * Moved structure NMSAttributes to unnamed namespace. * Code style fixes. * Small fix.
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…toolkit#3002) * Provide GatherND with original layout for inputs and output Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix code review #1 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
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openvinotoolkit#2767) * Fix ElementwiseInputReshape transformation Reshape node always needs to be inserted in order to preserve ShapeOf nodes (reshapability of a model) that can potentially be above elementwise node. Refactor EltwiseInputReshape_test and EltwiseInputNormalization_test since the logic of maintaining reshape for eltwise has been changed. Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Merge EltwiseInputNormalization and EltwiseInputReshape transformations Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Remove Unsqueeze from Fused_op Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix code after code review #1 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix code after review #2 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix code review #4 Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Perform full normalization based on shapes of all inputs to eltwise Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Refactor much to avoid old API and edges with unsqueeze_dims attribute Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com> * Fix code after review Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
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Looks like onnx is up-to-date now, so this is no longer needed. |
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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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* [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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…f POT (openvinotoolkit#17398) (openvinotoolkit#17633) * 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 * 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 * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py * Update docs/optimization_guide/nncf/ptq/code/ptq_onnx.py * Update docs/optimization_guide/nncf/ptq/code/ptq_aa_openvino.py * Update docs/optimization_guide/nncf/ptq/code/ptq_openvino.py * table format fix * Update headers * Update qat.md code blocks --------- Co-authored-by: Maksim Proshin <maksim.proshin@intel.com> Co-authored-by: Alexander Suslov <alexander.suslov@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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…envinotoolkit#31019) ### Details: Fix "Conditional jump or move depends on uninitialised value(s)" error ``` ==2061018== Thread 4: ==2061018== Conditional jump or move depends on uninitialised value(s) ==2061018== at 0x8D46DC3: dnnl::impl::cpu::x64::matmul::jit_brgemm_matmul_copy_b_transposed_t<Xbyak::Ymm>::generate()::{lambda(bool, bool)#1}::operator()(bool, bool) const (brgemm_matmul_copy_utils.cpp:4312) ==2061018== by 0x8D474BE: dnnl::impl::cpu::x64::matmul::jit_brgemm_matmul_copy_b_transposed_t<Xbyak::Ymm>::generate() (brgemm_matmul_copy_utils.cpp:4367) ==2061018== by 0x8D0AD86: dnnl::impl::cpu::x64::jit_generator::create_kernel() [clone .part.0] (jit_generator.hpp:2835) ``` ### Tickets: - 169031
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Bumps onnx from 1.7.0 to 1.8.0.
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Sourced from onnx's releases.
... (truncated)
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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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