* [GNA] Add low precision support for some layers (affine, eltwise, ReLU, sigmoid)
* [GNA] Fix convolution and scaleshift regression fail
* [GNA] Fix const scale factor calc
* [GNA] Fix extra whitespace
* [GNA] Eltwise padding and low precision primitive creation support
* [GNA] Changes after review
* [GNA] Remove INPUT_PRECISION GNA flag
Remove INPUT_PRECISION flag, all references to it
and tests using it. Other minor stylistic changes and cleanup.
* Convolution: Enhance dynamic shape inference of validate and infer types method
* Convolution: Change onnx test with dynamic shapes to float element type
* Convolution: Remove test instances with integer precision
* Convolution: Add backticks to types in spec
* Convolution: Change element type variable for output element type
* GroupConvolution: Add backticks to types in spec
* GroupConvolution: Enhance dynamic shape inference of validate and infer types method
* GroupConvolution: Remove serialization test instances with integer precision
* GroupConvolutionBackpropData: Remove serialization test instances with integer precision
* GroupConvolutionBackpropData: Enhance dynamic shape inference of validate and infer types method
* Convolution: Add helper function to validate convolution parameters in ref impl
* Convolution: Rewrite lambda to capture spatial dims of filters in validate and infer types
* GroupConvolution: Refactor reference implementation
* Remove call to old implementation of convolution using dilations
* Added validation method to validate shapes
* GroupConvolutionBackpropData: Add more type_prop unit test and refactor test names
* Convolution: Extended validation of convolution parameters in reference implementation
* GroupConvolution: Extended validation of group convolution parameters in reference implementation
* GroupConvolutionBackpropData: Add helper function to validate convolution backprop parameters in ref impl
* Clean up unnecessary lines
* BinaryConvolution: Use validate helper function from convolution ref impl
* Convolution: Refactor validate and infer types to improve readability
* BinaryConvolution: Refactor validate and infer types to improve readability
* Convolution: Add explicit tensor shape dims for inputs and outputs in spec
* BinaryConvolution: Add explicit tensor shape dims for inputs and outputs in spec
* GroupConvolution: Add explicit tensor shape dims for inputs and outputs in spec
* Add helper function to infer convolution forward output shape
* Convolution: Refactor validate and infer types to use helpers to infer output shape
* BinaryConvolution: Refactor validate and infer types to use helpers to infer output shape
* GroupConvolutionBackpropData: Fix formula to calculate output shape in validation functions
* Remove symbol to export convolution output shape inference function
* GroupConvolution: Add validation checks for input channels dim of data batch and filter shape
* GroupConvolutionBackpropData: clean up type prop tests
* Convolution: Change element type in onnx unit tests with dyn shapes and convolution nodes
* GroupConvolutionBackpropData: Correct layout of filters input
* GroupConvolution: Deduce groups from inputs shape during output shape inference
* Change spec supported types of convolution operations to any numeric type
* Revert "GroupConvolution: Remove serialization test instances with integer precision"
This reverts commit 781c2570d6.
* Revert "GroupConvolutionBackpropData: Remove serialization test instances with integer precision"
This reverts commit 9a6ac23968.
* Revert "Convolution: Remove test instances with integer precision"
This reverts commit 0b07052a62.
* Revert "Convolution: Change element type in onnx unit tests with dyn shapes and convolution nodes"
This reverts commit c9f5944b6b.
* Revert "Convolution: Change onnx test with dynamic shapes to float element type"
This reverts commit 1f4202b010.
* Allow integral types in validate and infer types method for convolution group of operations
* Add i32 precision in single layer tests for convolution group of operations
* BinaryConvolution: Fix shape of input and output tensors in spec
* Address nitpick comments
* Utils: make_try_fold, clone_try_fold. Template node creation and attempt to fold it
* RTTI for ArithmeticReduction(KeepDims)
* Enriched ngraph::get_default_order overloads with ones for dynamic shape and rank
* [ Transpose sinking ] Transpose->FQ->Reduce to FQ->Reduce->Transpose
* Style: deleted empty line
* RTTI in Reduction operations
* RTTI for LogicalReductionKeepDims
* Transpose: optimizations moved from algebraic simplification to TransposeSinking
* renamed file
* Fix test
* keep_dims is always initialized
* Apply suggestions from code review
Co-authored-by: Gleb Kazantaev <gleb.nnstu@gmail.com>
Co-authored-by: Gleb Kazantaev <gleb.nnstu@gmail.com>
* replace .format on f-string in cross_check_tool
* Replace f-string on .format in utils.py
* replace f-string in benchmark tool
* Replace .format on f-string in benchmark tool
* Add f-string after update
* Fix some lines
* Fix utils
* Caching support of multi-device scenario
- IE_CORE: introduce CacheGuard which can create locks for specific cache identified by 'hash'
- Added functional tests for it
Fixes of Thread Sanitizer failures:
- ngraph::Serialize - m_ref[i] can create new element, casted to 'const' to avoid this
- ngraph::get_opset oprations: reworked to use std::call_once instead of double bool check
* Added docs for ie_cache_guard.hpp
* Fix Debian 9 compilation issue
* Fix build for CentOS 6
Added assert to verify that table of locked hashes is empty on destruction
* Fixed review comments
* doc: update README for C samples, add comments
* samples: revert extension library settings for CPU only
* add validated image formats to samples README
* add output to c samples README
* add device check for xml config option
* Operation class review
* Remove clamp from FusedOp
* Add node validation checks
* Add type_prop unit tests
* Move backend unit tests into a separate file
* Remove unnecessary includes
* Add support for i8, i16, u8, u16 and bf16 precisions
* Refactor backend unit tests
* Remove instance with f64 precision
* Move dynamic shape tests to op_eval
* Group failing tests into manifest
* Add single layer tests and serialization tests
* Skip tests with conversion due to plugin misbehavior
* Add unit tests fails to manifest with documented issues
* Fix centos7 test to skip slt cpu instances of integer precision
* Enable dynamic test for float element type
* Address review comments
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Artemy Skrebkov
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