* Fixed ObjectDetectionAPIProposalReplacement() to get correct CropAndResize node.
* Small correction.
* Moved topological sort with start node to separate method, added tests.
* Simplified code.
In case when subgraph has implicit inputs from their indirect parent,
those inputs are not registered in direct parent.
So when subgraph node is created - it references input that is not
available in direct parent's scope.
In this patch, the proposed solution registers the input (the particular subgraph
references), in every (direct or indirect) that subgraph's parent.
* Removed input_model from meta data dictionary.
* Added test.
* Changed check for more general case.
* Test fixed.
* Temporarily added debug print.
* Fixed test.
* Code corrections.
* Small correction.
* Added type check.
* Added comments, small corrections.
* Refactored MO convert_model() to have single parse_args().
* Small correction.
* Fixed PyTorch converting.
* Small correction.
* Code refactoring, added tests.
* [GNA] Enable model caching
* [GNA] Enable model caching tests
* Fix: Use 'removeDir' instead of 'std::remove', on Windows std::remove has no effect
* Extract properties impacting model compilation into a separate method
* Add caching prop for supprted prop list
* [GPU] Added common exec mode hint and gpu support
* Add ov::inference precision and update usages. Deprecate ov::hint::inference_precision property
* [GPU] Execution mode tests and fixes
* Fixed code style
* Moved execution_mode test to common. Fixes for python API
* Remove deprecations for hint::inference_precision and just keep both
* Fix test
* WIP
* update input validation
* upsample_nearest2d and upsample_bilinear2d support
* support leaky_relu add test for inplace relu
* update tests, add handler for ListConstruct
* Do not create extra outputs in main body
* add positive case with non-default value
* update testing
* update test, handle non constant size and scale
* remove ie_device
* add aten::group_norm support
* refactoring
* Enable aten::reshape_as operator and add layer test
* more tests
* Fix typo in test
* Resolve conflicts
* fix code style
* expand init version
* expand_as and tests
* add transposed convolutions support
* add tests
* initial support pad
* add circular
* update for differenced in rang
* cleanup
* refactor
* more tests
* apply review comments
* Add split+listunpack transformation
* Add split+getitem transformation
* Add test cases
* fix typo
* Minor fixes
* Apply suggestions from code review
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* Apply suggestions from code review
* Small fix
* Support converting models without freezing
* support BoolTensor and masked_fill
* add support aten::rsqrt and test for sqrt
* add cumsum and type_as
* support clamp
* support more matrix operations
* add tests
* Add aten::adaptive_avg_pool3d and layer test
* Change to rank
* fix code style in utils.hpp
* Update src/frontends/pytorch/src/op_table.cpp
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
* fix code style
* add tests
* add xfail
* remove unnecessary broadcast
* Changes required by style formater
* aten::_convolution_mode
* Changes requested by a reviewer
* remove code duplication
* add aten::unbind transformation
* full, zeros and ones
* Support getattr list and unrolling nested ifs
* Remove line change
* Enable back freezing in layer tests
* Add aten::norm operator and layer test
* Small fix in layer test
* add aten::roll
* add empty line
* Typo fix
* fix style
* fix style v2
* add pytorch frontend to wheel
* Support all types of numeric norms
* add check for dynamic shapes
* remove random change
* merge statements
* add min and max ops support
* aten::max and aten::min
* move axes range creation to utils
* add transformation for tuple results, update tests
* fix copyright
* aten::var
* add test and translation for numel
* ignore aten::clone
* Add layer test for aten::add operator
* Fix typo
* Remove redundant import
* Add parameter name in forward method
* fix code style
* apply review comments
* Add size+slice+listunpack transform
* Add append listunpack transformation
* Register transformation
* aten::where
* update realization
* Fix issue with getitem
* Fix getitem
* Add layer test for aten::view operator
* Add tests for listunpack
* add test for aten::div
* fix style
* update aten::adaptive_max_pool2d
* fix style
* add aten::floor_divide
* aten::addmm support alpha and beta with different dtype
* nonzero
* Change test name
* update test cases to include other dtypes
* aten::arange
* prim::max transformation for ListConstruct
* rename op
* generalize conv2d implementation for conv1d and conv3d
* aten::unsqueeze_ and tests for aten::unsqueeze (#70)
* add aten::le, aten::ge and tests for other tensor comparision ops (#74)
* add support trigonometry ops (#73)
* support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72)
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* extend and add tests for avg_pool and max_pool
* extend tests and constant filling ops
* fix as_tensor and full ops
* aten::repeat
* fix code style
* aten::im2col (#61)
* aten::im2col
* remove debug prints, add number of elements check
* fix failed tests
* move helper function
* use split
* Update src/frontends/pytorch/src/op/im2col.cpp
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* fix code style
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* Update src/frontends/pytorch/src/utils.cpp
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* fix code style
* revert removeinf floordiv, add floor_divide file
* Fix merge issue
* reduce code duplication
* refactor
* Add len operator with layer test
* update clamp to support mixed precision and add support torch.long for constants
* aten::selu
* add trunc mode to div
* add else statement
* Add test case to layer test
* Fix submodules (#88)
* update test file
* fix namings
* execute in fp64 and convert back to initial precision
* Revert set_output_size to master. Small fix in If validate
* Fix build and code style
* fix failed tests
* Add torchvision::nms operator and layer test
* Change requested by a reviewer
* Remove div test
* convert constants to input type
* Mark some cases in div tests as xfail (#93)
* Small refactoring (#94)
* Small refactoring
* Fix type
* Fix python codestyle
* Incremental fix code style (#95)
* Fix style (#96)
* Fix copyright
* Fix code style
* Branch clean up (#97)
* Optimize includes and force opset10 (#98)
* Optimize includes
* Force opset10 in pt fe
* Fix codestyle (#99)
* Fix style
* Fix clang codestyle
* Fix cerr with debug log
* Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp
* Add pytorch dependency only if pytorch frontend is enabled
* Update src/bindings/python/src/pyopenvino/CMakeLists.txt
* Add layer tests to precommit (#100)
* Add layer tests to precommit
* Remove accidentally added files
* Apply code style on layer tests
* batch norm tests and fixes
* move default weight and bias to else block
* reduce code duplication
* Changes requested by a reviewer
* Changes requested by a reviewer
* Remove dependency from pytorch in pyopenvino (#102)
* Remove dependency from pytorch when fe is disabled
* Change docstring
* Remove pytorch FE dependency from pyopenvino
* Apply codestyle (#107)
* Apply codestyle
* Remove commented line
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix mock FE test (#108)
* Fix mock PE test (#111)
* Revert changes in StridedSlice (#114)
* Small refactoring (#116)
* Small refactoring
* Fix codestyle
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply suggestions from code review
* Update src/frontends/pytorch/src/op/group_norm.cpp
* Fix cmake copyright define (#117)
* Update src/frontends/pytorch/src/op/arange.cpp
* Apply suggestions from code review
* Update build configs (#120)
* FIx build configs
* Update type cast in full.cpp
* Apply review feedback (#121)
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix issue after master merge (#122)
* Fix issue after master merge
* Fix build
Co-authored-by: eaidova <ekaterina.aidova@intel.com>
Co-authored-by: bszmelcz <bartosz.szmelczynski@intel.com>
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
Co-authored-by: sikorsl1 <leonard.sikorski@intel.com>
Co-authored-by: Leonard Sikorski <l.sikorski123@gmail.com>
Co-authored-by: Mateusz <mateusz.mikolajczyk@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add more type_prop tests for interval dims and labels
* Add setter for grid sample attributes
* Merge grid sample batch dims
* Add StaticShapeInferenceTest for GridSample
* Fix label test
* Use OpStaticShapeInferenceTest fixture in test
* Review slice ope for
- Interval dimension and label propagation
- add template shape inference with static shape test
- check preserve partial values on inputs
- check upper/lower evaluate
* Add bounds evaluation for inputs start, stop
* Share code between slice and strided slice
Use same function to calculate elements in step
* Add array includes
* Add to int64_t strides size
* Fix windows compile warnings
* Fix shape inference for unknown axes
* Remove empty lines in slice shape inference
* Correct slice static shape tests
* Use arrays of const chars to store literals
Remove and update exception messages for strided slice
* Fix slice test and apply review comments
* Fix compilation issues
* Fix ellipsis when there is not begin
* Fix get element type for const inputs
* Insert optional axes as const or dynamic param
* Remove temp vectors for dimensions calculation
* Revert set optional input in ctor
* Fix forward slicing for negative start and MAX end
Previously, reorder_input pass checked only output layouts of each node, with an assumption that the input/output ranks are same at that pass.
However in dynamic shape using ngraph shape infer, there are cases input / output ranks differ. In such cases, the reorder_input pass inserts reorder to the format of current node's output_layout in the input of the current node, which causes error.
Fixed the above behavior by applying set_preferred_input/output_layout.
