* add m1 mac pipelines as a matrix parameter
* Update mac.yml
disable java_api because of macos arm64 - Java is not available on macOS arm64 runners
* Update mac.yml
added always condition for all tests
* Update mac.yml
* Update mac.yml
* Update mac.yml
* Update setup.py
temp commit
* Update tools/openvino_dev/setup.py
* use matrix for var
* add mxnet to extras only for x86_64
* skip failing tests
* use xfail for Python tests; add missing filter for transformations tests
* skip CPU func tests on x86_64 mac; skip some tests from CPU func tests on arm mac
* Update mac.yml
* skip tests on mac arm
* skip tests on darwin; apply review
* add more skips for python and c++ tests
* skip tf tests
* skip more tf tests; skip more Python UT stages
* rm alwayses, rm triggers, add nightly trigger
---------
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* TorchFX: Constant value pass optimization
* Replace op.Constant with make_constant in fx_decoder
* Using shared memory for constant value passing
Co-authored-by: Jan Iwaszkiewicz <jan.iwaszkiewicz@intel.com>
---------
Co-authored-by: Jan Iwaszkiewicz <jan.iwaszkiewicz@intel.com>
* Reference implementation for u4 constant compression from pytorch model based on bitwise ops pattern
* Fixed order of 4-bit halfs in byte
* Switched PyTorch FE to dev mode: in case if model cannot be fully converted, give partially converted model with PTFrameworkNode's with a printed warning (normally would raise an exception in case).
* Moved u4 compression to utils_quantize. Implemented not-interleaved version of u4 compression
* Removed debug output
* Added aten::matmul to the list of exceptions in may_produce_alias as a workaround for gptq models
* Added patching for gptq models applied automatically in convert_model
* WA for an inssue with u4 with earlier convert to fp16
* U4 blocked repacking for gptq patched model layout
* Deleted obsolete u4 re-packing based on aten::cat. Fixed the resulting u4 constant shape. Removed debug output.
* Revert "Switched PyTorch FE to dev mode: in case if model cannot be fully converted, give partially converted model with PTFrameworkNode's with a printed warning (normally would raise an exception in case)."
This reverts commit 0ef1455e70.
* Update src/frontends/pytorch/src/op/cat.cpp
* Check mask and shift values in u4 pattern. deque -> OutputVector for u4_compression_stack
* Convert to a given floating type instead of half in gptq patching. Better structured code.
* Code style fix
* Removed deque include
* Code style fixes
* Trailing space removed
* Fixed patched_forward and ts_decoder after unvalidated commits.
* Swap nibbles in u4/i4
* Better exception handling around jit.trace and gptq.patch_model
* Update src/bindings/python/src/openvino/frontend/pytorch/gptq.py
Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>
* Update src/bindings/python/src/openvino/frontend/pytorch/gptq.py
Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>
* Code style
* Revers int4 byte order
* Fixed core tests
* Fixed unguarded dynamic_cast result
Co-authored-by: Evgenya Nugmanova <eva.my.link@gmail.com>
* Fixed transformation tests
* Update src/bindings/python/src/openvino/frontend/pytorch/gptq.py
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* Prevent patching of non-gptq models
* Removed extra calling of quantized weights decompression patterns
* Better detection of supported AutoGPTQ models + more diagnostics
* Accurate diagnostics in case when aten::stack has multiple axes
---------
Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Co-authored-by: Evgenya Nugmanova <eva.my.link@gmail.com>
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* [TF FE] Support TF 2.14 and add OnesLike translator
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Update tests constraints
* Update open_model_zoo
* Adopt TF Lite test to 2.14 TF
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Support TF Lite layer tests for diffrent TF versions
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* only skip test if mac
* unskip
* unskip trigger
* skip for onnx fe as well
* do not skip
* return skips and unskip test_backend in Python API 1.0
* rm pr trigger
---------
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* Optimize CompressQuantizeWeights transformation
- remove CoordinateTransform usage from FakeQuantize reference implementation
- move ZeroPointOptimizer functionality inside CompressQuantizeWeights
- compute scale and zero point in the same loop
Ticket: CVS-119273
* review comments
* clang format
* fix comments
* Remove ngraph namespace from operations without namespace
* Try to fix build
* Additional fixes
* More fixes
* More fixs
* Fix reverse op
* Fixed tests
* Throw an exception if somebody tries to reallocate tensor
* Revert "Throw an exception if somebody tries to reallocate tensor"
This reverts commit 8e06d6d576.
* Remove python test
* Revert "Remove python test"
This reverts commit 37b12148d3.
* Changed evaluate model behavior
* Use FindPython3.cmake
* Fixed compilation on macOS 14 with new core development tools
* Try to use Python3_SOABI instead of PYTHON_MODULE_EXTENSION
* Use Development.Module
* Keep specifying only Python3_EXECUTABLE
* Print PYTHON_MODULE_EXTENSION
* Added check for minimal cmake version for python API
* Returned Python3_INCLUDE_DIR for cross-compilation case
* Try to allow cmake older than 3.18
* Use build python interpreter to check cython dependency
* revert changes in .ci/openvino-onnx/Dockerfile
* removed unused code
* Fixed issue with variables scope
* Experiment: remove include dirs
* Corrected docs
* Use pybind11 function to set extension
* Revert "Experiment: remove include dirs"
This reverts commit 6f7f90211c.
* Refactor ConvolutionBackpropDataLayerTest, ConvolutionLayerTest, DeformableConvolutionLayerTest (#19810)
* Refactor ConvolutionBackpropDataLayerTest
* Refactor ConvolutionLayerTest
* Refactor DeformableConvolutionLayerTest
* Apply comments
* Apply comments
* Fix
* Updated minimum cmake version for Windows
* Simplified check
* Removed useless message status
* Use puiblic option
---------
Co-authored-by: Oleg Pipikin <oleg.pipikin@intel.com>
* [OVC] do not parse inputs
* fix unit-tests
* remove redundant lines, add test case
* add one more unit-test
* skip None values
* replace str with List in test_mo_import_from_memory
* corrected type hints, added a safety assert
Maxim Vafin