* [TF FE] Fix ResizeBilinear for uint8 type and test Resize operations
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Convert to fp32 right before interpolation
* Add one more test for fp64
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* samples/python/benchmark/bert_benhcmark/requirements.txt: add datasets, install torch cpu only for linux
By default for linux torch is installed with GPU support, but for
windows is CPU only
* benhcmark->benchmark
* Add type_prop tests
* Add shape_infer tests
* Update shape_infer to preserve interval dim and label
* Unified approach for get_data_as_shape and negative value checks
* Remove redundant gtest header
* rename one hot shape infer test file
* Add test for shape_infer with default ctor and adjust resolve_axis
* Move get_data_as_shape changes to the one hot custom util
* Adjust custom get_data_as_shape
* Select shape_infer tests update
* Add Select type_prop tests
* Add evaluate_lower/upper for select
* Revert evaluate_lower/upper for Select
* Use get_node_input_partial_shapes
* Style and headers improvements
* Style apply
* Rename select shape infer file tests
* Use default ctor for output_shapes init
* Use helper for shape_labels init and add more dim test cases
* add unit test for incompat shapes case; fix existed unit tests using get_test_name
* cleanup
* fix unit tests; add unsqueeze insertion
* cleanup
* add test for concat
* fix unit test for concat
* reset concat test to master
* cleanup
* cleanup after rebase
* cleanup
* fix after rebase
* clang fixes
* remove unused headers
* input squeeze on forward sinking
* code review fixes
* add test for forward unsqueeze case
* cleanup
* fix windows build warning/error
* code review fixes
* [C++] Display a warning if Power Mode is not 'Max Performance' - rebase from master
* [C++] Prevent std::max from colliding with windows.h max macro
* [PYTHON/C++] Update README docs to reflect possible inaccuracies from optimization settings
* [C++] Cleanup windows optimizations
* cleanup tmp IR files after unexpected failures
* separated catching during tmp serialize and fe.load
* updated file path specification
* moved base MO arguments into utils
* removed redundant 'except' blocks
* shortened specifying MO args
* calling unit-tests from subprocess; joined 2 try/except block into a single one
* changed postfix so that test is run without duplications only once
* changed fw_eps for test_conv_5D_precommit tests
* fixed cases with changing fw_eps for test_conv_5D_precommit tests
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Move paddle reader tests from ieFuncTests to paddle_tests
Fix code style
Modify Paddle reader test to use generated model
* Enable paddle tests in Azure CI
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
* Add evaluate to CumSum core op
* Use new API
* Remove unneeded types
* Revert evaluate in template plugin
* Correct evaluete availability
* Improve code
* Add test
Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>
* [TF FE] Add error-cause operation event for telemetry
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Revert unneeded changes
* Apply code-review feedback: replace test with unreal op, use error_cause
* Add test model with unreal Add operation
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Extend partial shape interface add value_type
- add emplace_back
* Example to created dimension in output shape
instead of using tmp vector
* Add partial shape tests
* Quantize clamp optimization(prepare_quantization.cpp:227) for cldnn is not proper to onednn.
* cast intermediate variable to output type after ~
* cldnn: every fused quantization.
* onednn: all post-ops are processed.
* A little perf regression expected in onednn because clamp is relatively heavier operation than type casting.
* Remove deconv workaround from PR #14139
