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Bump onnx from 1.7.0 to 1.8.0 in /ngraph/python #3
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* [CPU BF16] Greedy mode was added * [IE TESTS][BF16] Added support for operations with bf16 precision in the single layer tests. * Added cpu specific bfloat16 single layer tests for the jit_eltwise primitive. * [CPU TESTS] Activation and logical single layer tests fixes. * [IE TESTS] Fix activation single layer tests run. * [IE TESTS][CPU] CPUTestBase further refactoring. * [CPU BF16] Support for Bfloat16 type was added to the MVN layer. (#3) * [CPU BF16] MVN layer bfloat16 compatibility. * [CPU BF16] MVN bfloat16 minor fixes. * [CPU BF16] MVN node exception about BF16 support replaced with precision redefinition. * [CPU BF16] MVN layer bloat16 support fixed for quantization operations and blocking layout. * [CPU] Input and output precision checks were added to MVN layer. * [IE TESTS][CPU BF16] Most of the bloat16 tests have been fixed. * Bf16 crop layer (#4) * [IE TESTS][CPU] Cpu specific test for the Crop layer has been created. * [IE TESTS][CPU] Deprecated Crop single layer test removed. * [CPU BF16] Bfloat16 precision was added to the Crop layer. * [CPU BF16] Crop layer minor code improvements. * [IE TESTS][CPU] Crop layer test added 2D tensor tests. * [IE TESTS][CPU] Crop layer test, obsolete comment removed. * [IE TESTS][CPU] Fixed CropIE include path. * Crop test fix for older gcc compiler. * [CPU BF16] Reduce layer extended with bfloat16 support. * [IE TESTS][CPU] CPU specific single layer test for Reduce operation. * BF16 optimized layers * [CPU BF16] Bfloat16 custom type added to the MKLDNN plugin. * [CPU BF16] Mem alignment to 16 bytes added to bfloat16 class union. * [IE TESTS][CPU] Permute cpu specific single layer test and minor cpu tests fixes * MVN cpu single layer tests extended with nhwc ndhwc layouts. * Mod mode removed from Eltwise cpu single layer test. * Permute cpu specific single layer test. * Smoke keyword was added to the CPU single layer tests. * Normalize node was modified for BF16 support * [CPU BF16] The RegionYolo layer has been extended with the bfloat16 type support. * Resample node was extended with BF16 * Select layer was enabled with BF16 * psroi supports bf16 (#7) * reorders replaces converts (#9) * BF16 planar pooling was enabled * [CPU BF16] Cpu_convert added to the RegionYOLO node. * [IE TESTS][CPU] Crop single layer test has been rewritten using the StridedSlice operation. * [IE TESTS][CPU] Covert layer test extended with bf16 precision. * [CPU BF16] The bfloat16 class was renamed bfloat16_t and some refactoring has been done. * [CPU BF16] RegionYOLO and Softmax were aligned with the review. * [IE TESTS CPU] CPU single layer tests refactored according to the review suggestions. * [IE TESTS CPU] The Reduce CPU single layer test was extended with different mem orders. * [IE TESTS CPU] Minor fixes after the review. * [IE TESTS CPU] Common plugin configuration has been moved to PreparePluginConfiguration function. * Minor changes after review * StridedSlice, Select, ScaleShift notes were resolved * Fixes to the Reduce operation cpu test and minor fixes related to the review. * GPU eltwise tests fix. * psroi unrolled to the primary state; code clean (#12) * PSROIPooling layer with C++ optimizations * Minor fix for compatibility with CPUTestsBase for fuse_permute_reorder test. * Code clean & psroi rollbacked Co-authored-by: Maksim Kutakov <[email protected]> Co-authored-by: Maksim Kutakov <[email protected]> Co-authored-by: Yury Gaydaychuk <[email protected]>
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…penvinotoolkit#1469) * Move evaluate() interface from some OPs to Interpreter * commit * Move shuffle channels reference to OP's evaluate * Add some operations missed in evaluate_node * Fix select references invocation from evaluate_node() * Activation refs (#2) * HardSigmoid * Elu * Selu * Gelu * Move to test runtime * Rollback donwgrade passes delition * Initial batch to space refs * Return opset1_upgrade * WIP: Add space to batch evaluate * Fix space to batch * add evaluates function in evaluates_map (#4) * Add space to batch evaluate * Fix crop in batch to space references * Remove vectors reallocation in evaluates for b2s and s2b * . * Add SpaceToDepth evaluate * Add depth to space evaluate * Remove code duplication depth to space evaluate * Fix some failed layer tests * Ngraph test (#3) * Remove some v0 ops & fix some tests * Fixes BatchNorm * Next * dd * s * Add dot & replace slice refs * d * dkj * Review fixes part 1 * Fixes. Part 2 * Fixes. Part 3 * Enable cells refs in evaluate map * Fix some failed layer tests * Some more fixes * Fix code style (#6) * Tests (#7) * PriorBox * Mod * NormilizeL2 * Update prior_box.hpp * Fix one hot ref call * . * Select (#8) * Select * Fix code style * Fix select messages * ReverseSeq (#9) * ReverseSeq * Select * ExtractImagePatches, Seqence * Fix Code Style * remove extra * Remove etra line@ * Add fake quantize reference * Align convolution layer tests instantiations with updated definition * Disabled some failed LPT tests * Disabled some failed LPT tests * Remove undesired changes * Update unit-test manifests + some code cleanup * Fix code style (#10) * Normalize L2 refs support (from PR openvinotoolkit#2327) * Fix code style * Apply review comments. Part 1 (#11) * Apply first part of review comments * Update onnx_import.in.cpp * Remove redundant reshape from shuffle_channels evaluate * Decompose GroupConvolution * [IE Ngraph] Fix some operation inheritance (#13) * [IE TESTS] Depth2Space * Space2Depth * ShuffleChannels * Fix ode style * Fix code style * [IE NGraph] Remove decompose op (#14) * . * Fix loosing control dependency in replace_node * Fix loosing control dependency in replace_node * Fix code style * Fix FQ references build on windows * Fix code style * Apply comments (#15) * [Ie Ngraph] Remove using v1::Add * [Ie Ngraph] Remove using v1::Mutliply * [Ie Ngraph] Remove using v1::Subtract * [Ie Ngraph] Remove using v1::Divide * [Ie Ngraph] Remove using v1::Equal * [Ie Ngraph] Remove using v1::Greater * [Ie Ngraph] Remove using v1::Greater_eq * [Ie Ngraph] Remove using v1::Less * [Ie Ngraph] Remove using v1::LessEq * [Ie Ngraph] Remove using operator+ * [Ie Ngraph] Remove using operator/ * [Ie Ngraph] Remove using operator* * [Ie Ngraph] Remove using operator- * Fix code style * Ci (#16) * Fix CentOS compilation * Revert ngraph::op::vo::Multiply removing due to OpenCV * Android fix (#17) * fix failures * Fix code style * Add (#18) * Android fix * Add * Add in opset1 upgrade pass * Add in opset1 upgrade pass * Remove v0::Add, Reverted removing v0::Multiply (#19) * Remove overloaded math operators from PyNgraph * Remove overloaded math operators from PyNgraph * Fix gna tests (#20) * Fix gna tests * Squashed commit of the following: commit 565b504 Author: Alexander Zhogov <[email protected]> Date: Tue Oct 13 13:27:34 2020 +0300 GitHub CI: Add files_size.yml (openvinotoolkit#2570) * GitHub CI: Add files_size.yml * Update job name commit ab0fb29 Author: Vladislav Vinogradov <[email protected]> Date: Tue Oct 13 11:37:30 2020 +0300 [IE][BUILD] Fix C5208 warning under Windows (openvinotoolkit#2628) * C++ feature in C `typedef struct` code. * The warning can be promoted to error in dependent projects. C5208: unnamed class used in typedef name cannot declare members other than non-static data members, member enumerations, or member classes commit 15a338e Author: helmutg <[email protected]> Date: Mon Oct 12 22:24:24 2020 +0200 add build option USE_SYSTEM_PUGIXML (openvinotoolkit#2502) It allows skipping inference-engine/thirdparty/pugixml and using the system copy instead. Thanks to @Osse for helping understand cmake scoping rules. Co-authored-by: Helmut Grohne <[email protected]> commit 7ac8cd8 Author: Alexander Zhogov <[email protected]> Date: Mon Oct 12 19:23:00 2020 +0300 Azure CI: Fix nGraph ONNX commit 3a2e339 Author: Alexander Zhogov <[email protected]> Date: Mon Oct 12 19:20:28 2020 +0300 Azure CI: Disable steps in nGraph ONNX commit 5835974 Author: azhogov <[email protected]> Date: Mon Oct 12 18:46:14 2020 +0300 Azure CI: Add linux_ngraph_onnx.yml * LRN Reference (#21) * Disable failed tests on ia32 * Remove redundant broadcast from MVN ref * Fix missed GatherND in opset_int_tbl + code style * Remove one extra temporary buffer from MVN ref * Merge master (#22) * Leaky relu transformation refactor (openvinotoolkit#2640) * Refactored LeakyRelu transformation * Added unit test for LeakyRelu transformation + removed duplicate test function valued_const * nGraph implementation of NMS-5 (without `evaluate()`) (openvinotoolkit#2651) * Written nGraph NMS-5 without evaluate(). * Used NGRAPH_RTTI_DECLARATION. * setupvars.sh: Updated setting pyenv error to warning. (openvinotoolkit#2663) * Fix itt build (openvinotoolkit#2662) * Loop-5 operation specification (openvinotoolkit#2291) The Loop-5 operation specification * Time tests improvements (openvinotoolkit#2642) * Remove extra functions from run_timetest.py * Add `log.debug` of raw and aggregated statistics in run_timetest.py * Implement storing of models locally for test_timetest.py * Fixed CVS-35316 (openvinotoolkit#2072) * Extend MO for operation GatherND (openvinotoolkit#2540) * Extend MO for operation GatherND * Update documentation * Rename GatherNd.py to gathernd.py Signed-off-by: Roman Kazantsev <[email protected]> * Add hsigmoid op to ngraph (openvinotoolkit#2647) * [IE CLDNN] Fixes for GatherTree and ReverseSequence (openvinotoolkit#2660) * ReorgYolo reference implementation (openvinotoolkit#2384) * Align ReorgYolo to the spec (vector strides -> int stride) * ReorgYolo ref impl * ReorgYolo evaluate method * ReorgYolo tests * Tests update * Style apply * Add some coments * Code refactor * Comment update * Style apply * Build fix, mark evaluate as override * Revert "Align ReorgYolo to the spec (vector strides -> int stride)" * Use int_executable instead of evaluate * Use char* instead of templates * Code refactor * Comment update * Code review comment * Add constructor aligned with spec * Update shape validation * Update attributes tests * Add type_prop tests * Update backend tests * Add single layer tests * Update the spec * Remove wrong transformation test * Add ReorgYolo to evaluates_map * code style Co-authored-by: Evgeny Lazarev <[email protected]> Co-authored-by: Vladimir Gavrilov <[email protected]> Co-authored-by: Artyom Anokhov <[email protected]> Co-authored-by: Andrey Somsikov <[email protected]> Co-authored-by: Vitaliy Urusovskij <[email protected]> Co-authored-by: Anastasiya Ageeva <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]> Co-authored-by: iliya mironov <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]> Co-authored-by: Katarzyna Mitrus <[email protected]> * RegionYolo * Apply review comments * Merge remote-tracking branch 'upstream/master' into update_evaluates # Conflicts: # ngraph/core/src/op/mvn.cpp # ngraph/test/backend/fused_op.in.cpp # ngraph/test/runtime/ie/unit_test.manifest # ngraph/test/runtime/interpreter/int_executable.hpp # ngraph/test/runtime/interpreter/opset_int_tbl.hpp # ngraph/test/runtime/interpreter/unit_test.manifest # ngraph/test/runtime/opset0_tbl.hpp * Apply code style * Apply comments * Apply code style * Fix RegionYolo evaluate redefinition * Removed defines from evaluates map * Apply code style * Fix MVN ref * rename select reference argument * Fix code style * Fix Fake Quantize references calculation (#24) * Fix MVN ref * Fix MVN & adding NMS * Fix TI * Temporary relax comparison threshold for FQ SLT * Fix GPU LPT Tests * Add explicit rounding mode seetting in FQ references * Apply code style * Rollback op_is test deletion * Apply code style * Fix merge conflict resolving issues * Apply code style Co-authored-by: Irina Efode <[email protected]> Co-authored-by: Anton Zaytsev <[email protected]> Co-authored-by: Evgeny Lazarev <[email protected]> Co-authored-by: Vladimir Gavrilov <[email protected]> Co-authored-by: Artyom Anokhov <[email protected]> Co-authored-by: Andrey Somsikov <[email protected]> Co-authored-by: Vitaliy Urusovskij <[email protected]> Co-authored-by: Anastasiya Ageeva <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]> Co-authored-by: iliya mironov <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]> Co-authored-by: Katarzyna Mitrus <[email protected]>
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] <[email protected]>
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* Refactored developer package * Added fuzzing for CMAKE_MODULE_LINKER_FLAGS as well * Added options for developer package * More improvements * Further improvements * Removed global CMAKE_MODULE_PATH population * Fixes * Final fixes * Fixed python build * Fix for TBB * Fixed Find TBB * Fixed install * Fixes for OV features * Split developer targets per component * Fixed IE build tree config * Fixed ITT * Fixed review comments * Clean export dependencies * Fixed export of pugixml * Added IEDevScripts_DIR for Android * Fixed Android #2 * Fixed Android #3 * Fixed python cc * Disabled Core threading tests on GNA
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* DPC++ link error workaround. OpenVINO C++ program failed to link when DPC++ compiler is used. 'make_shared_blob' causes 'unresolved external symbol' error on linking. Commented out some __clang__ specific directives to workaround the issue in "ie_blob.h". * DPC++ compatibility issue fix #2 1. Removed type-by-type template class definition for __clang__. 2. Modified TBlob() destructor. The 'unresolved reference' error occur again if I left 'virtual ~TBlob();' only. It seems it needs to be 'virtual ~TBlob() {};'. * DPC++ compatibility fix #3 - Add DPC++ conditional code Uses '__SYCL_COMPILER_VERSION' predefined macro to check if the compiler is a DPC++ or not. Added conditional directive to switch code based of the detected compiler. NOTE: User program must include <CL/sycl.hpp>, or the '__SYCL_COMPILER_VERSION' macro won't be defined and this fix won't take effect. * DPC++ compatibility issue fix #4 Changed from #ifdef to #if + logical formulas. * DPC++ compatibility issue fix #5 Added compiler check logic in src/ie_rtti.cpp * DPC++ Compatibility issue #6 - ie_parameter.cpp Added compiler check macro for DPC++ to ie_parameter.cpp as well. Co-authored-by: Yasunori Shimura <[email protected]>
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* fix ss * successfully converted * successfully run moved infer and normalizer unit-tests * successfully rewritten StridedSlice infer unittests * int64 array * Successfully converter crash-when-loading, xj_feauture and toy nets (cherry-picked maxpoolV4 and tf_broadcast_ext) * successfully moved PermuteAttrs to general mechanism * successfully converted xj_feauture and crash when loading with the new rewritten SS infer * fixed get_shape_from_slice and moved to common utils * fixed extending masks and some other * some refactoring * fixed extending masks in extractor, fixed licence year and some other code clearing * corrected a couple of unittests * fox permute for 5 rank slice and 4 rank inputs/ * WIP * Added comments * fixed StridedSlice in ProposalMutation.py * rechecked shape_infer unittests added some new cases * added shape_infer unit-tests after StridedSliceNormalizer pass and Permute unit-tests * corrected unittests * Applied review comments * general permutations for inputs implemented, corrected ellipsis unrolling when shrink_axis is at the beginning, some other corrections * removed code duplication in infer and normalizer, moved 'slices' attr normalizing to StridedSliceNormalizer.py * removed some code duplication and other minor improvements * Added tests * minor corrections * [GNA] Support 1d tensors (openvinotoolkit#4270) * [OpenVINO Scripts] Updated with RHEL8 (openvinotoolkit#4296) * Updated install_NEO_OCL_driver.sh & install_openvino_dependencies.sh with rhel8 case * install_NEO_OCL_driver: Fixed conditional * script: Updated with actual revisions * [CPU] MKLDNN NCHW pooling primitive performance fix. (openvinotoolkit#4235) * [IE][VPU]: Check memory capacity after finding the corresponding device (openvinotoolkit#4314) This issue relates to multi-device mode. While we are trying to allocate a graph on one of the devices we should check memory capacity only for the corresponding device, not for the last opened as far devices may have different memory capacity or the latest opened device may have still not sent its attributes (including memory capacity) * Azure CI: Enable IB initiators as helpers * Result rename operation (openvinotoolkit#4242) * Added result rename operation * Optimize imports * Added ResultRename to package_BOM * ResultRename moved to the end of back phase, code refactoring * Revert incorrect changes * Optimize imports * Added comments and optimized imports. * DPC++ link error workaround. (openvinotoolkit#4192) * DPC++ link error workaround. OpenVINO C++ program failed to link when DPC++ compiler is used. 'make_shared_blob' causes 'unresolved external symbol' error on linking. Commented out some __clang__ specific directives to workaround the issue in "ie_blob.h". * DPC++ compatibility issue fix #2 1. Removed type-by-type template class definition for __clang__. 2. Modified TBlob() destructor. The 'unresolved reference' error occur again if I left 'virtual ~TBlob();' only. It seems it needs to be 'virtual ~TBlob() {};'. * DPC++ compatibility fix #3 - Add DPC++ conditional code Uses '__SYCL_COMPILER_VERSION' predefined macro to check if the compiler is a DPC++ or not. Added conditional directive to switch code based of the detected compiler. NOTE: User program must include <CL/sycl.hpp>, or the '__SYCL_COMPILER_VERSION' macro won't be defined and this fix won't take effect. * DPC++ compatibility issue fix #4 Changed from #ifdef to #if + logical formulas. * DPC++ compatibility issue fix #5 Added compiler check logic in src/ie_rtti.cpp * DPC++ Compatibility issue #6 - ie_parameter.cpp Added compiler check macro for DPC++ to ie_parameter.cpp as well. Co-authored-by: Yasunori Shimura <[email protected]> * Azure CI: Disable IB stop * Remove generic ie op (openvinotoolkit#4213) * Removed legacy IE shape infer * Removed GenericIE operation * Removed legacy shape infer tests * Removed legacy test with legacy IE reshape * Fixed compilation issues related to removal of GenericIE * Fixed one more compilation issue with clDNN * Fixed test for reading experimental ops * Updated tests and make IR Reader to load old experimenal and extension ops as opset6 * Change opset of some ops only if they are currently experimental/extension to avoid situation like opset1::Proposal -> opset6::Proposal * Removed more legacy code * Returned back code removed by mistake * Fixed issues related to incorrect merge with master * Merge fixes * Fixed unit tests which starts to fail because now loading the model with unknown operation is failed earlier * Removed incorrectly added code Co-authored-by: Evgeny Lazarev <[email protected]> * [IE CLDNN] Added CTCGreedyDecoderSeqLen operation (openvinotoolkit#4119) * [CPU] Refactors jitters for nGraph interop (openvinotoolkit#4255) * [IE CLDNN] Fixed CTCGreedyDecoderSeqLenLayerTest gpu instances (openvinotoolkit#4326) * Fix comparison of constant with short float NAN values (openvinotoolkit#4299) * fix comparison of constant with short float NAN values * adjust precision, remove elvises * more templates * add ir serialization test with float16 const * remove unused prototxt * [ONNX] Remove linking libonnx from unit-test (openvinotoolkit#4298) * Remove linking libonnx from unit-test * Consider all flavors of protobuf libraries * Avoid passing on NOTFOUND properties * Set system deps for mac * Revert include dirs set up * wider range of unittests added (froze the number) * ONNX RNN/GRU enable dynamic input shape (openvinotoolkit#4241) * Add support for custom ONNX operator PriorBoxClustered (openvinotoolkit#4202) * review comments applied * Force test use bash for setupvars.sh (openvinotoolkit#4321) setupvars.sh is incomatible with sh shell. * enabled skipped unit-test * comment corrections Co-authored-by: Pavel Esir <[email protected]> Co-authored-by: Elizaveta Lobanova <[email protected]> Co-authored-by: Artyom Anokhov <[email protected]> Co-authored-by: Maksim Kutakov <[email protected]> Co-authored-by: Maksim Doronin <[email protected]> Co-authored-by: Alexander Zhogov <[email protected]> Co-authored-by: Anastasia Popova <[email protected]> Co-authored-by: Yasunori Shimura <[email protected]> Co-authored-by: Yasunori Shimura <[email protected]> Co-authored-by: Evgeny Lazarev <[email protected]> Co-authored-by: Evgeny Lazarev <[email protected]> Co-authored-by: Roman Lyamin <[email protected]> Co-authored-by: Marina Kolpakova <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]> Co-authored-by: Bartosz Lesniewski <[email protected]> Co-authored-by: Tomasz Jankowski <[email protected]> Co-authored-by: Katarzyna Mitrus <[email protected]> Co-authored-by: Bartosz Sledz <[email protected]> Co-authored-by: Andrey Somsikov <[email protected]>
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* [FrontEnd]enable 16 ops conversion * [FrontEnd]fix typo in interpolate * param support tensor (#3) * Update hard_sigmoid.cpp (#4) * Yi3/fix paddle part2 * fix paddle conversion * ops forward declaration * use tile instead of broadcast * Add validation check in dropout (#8) * fix conflict * fix code style * fix transpose2 * use perm size in transpose2 * remove check in transpose2 Co-authored-by: Luo Cheng <[email protected]> Co-authored-by: Mang Guo <[email protected]>
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…toolkit#9691) * [Transformations] Added interchangeable reshape elimination * Applied comments #2 * returned Reshape in condition * applied comments #3 * applied comments #4 * added comment in plugin with reason about transformation
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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- Implement static TileScheduler to handle compile params processing. Now compile params are accessed only here - TileScheduler should emit code only for necessary scalar/vector Tiles - Perform abstract-to-physical register mapping in one place (currently KernelEmitter constructor) - Implement more precise register mapping, so larger subgraphs could be created (now up to 12 i/o regs instead of 7)
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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 <[email protected]> * 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 <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_onnx.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_aa_openvino.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_openvino.py Co-authored-by: Alexander Suslov <[email protected]> * table format fix * Update headers * Update qat.md code blocks --------- Co-authored-by: Alexander Suslov <[email protected]> Co-authored-by: Tatiana Savina <[email protected]>
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* CLean up ov_helpers headers from ngraph/ * Move `ngraph/` includes from ov_helpers to tests * Remove include of all opsets in builders.hpp * Remove opsets includes from ov_helpers * Fix GNA tests * Delete comments * ClangFormat * Fix build * Fix `-fpermissive` * Fix build #2 * Fix `<` && `>` in includes * Fix build #3 * Build fix
a-sidorova
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…#3 not step #4. I fixed the typo (openvinotoolkit#21993)
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Bumps onnx from 1.7.0 to 1.8.0.
Release notes
Sourced from onnx's releases.
... (truncated)
Commits
994c618
use 1.8.0 for the final Release (#3098)06aa517
Update pybind11 to 2.6 to solve seg fault on Windows (#3095)cf1c281
build protobuf in pipeline (#3083)87eb598
use 1.8.0rc to test (#3073)63a5869
ONNX 1.8 version bump (#3072)6c45a71
Both update value_info and output for shape_inference undefined output (#3068)a7a0fec
default NOTSET is OK (#3062)4bcff40
update license info in community documentation (#3054)ff047ef
Advance NLL loss to opset 13 (#3059)531e6dd
fix 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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