* Removed suppressions for IInferRequest deprecation
* Fixed Windows
* More fixes for Windows
* Fixed compilation on Windows
* Fixed comment in documentatipn
* Fixes for Andorid
* Fixes for old gcc 4.8
* WA for cross-compilations
* Fixed compilation
* Fixed HETERO plugin compilation for old compilers
* Flags
Co-authored-by: lab_ddpqa <lab_ddpqa@intel.com>
* Specify Einsum-7 operation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Finalize specification for Einsum-7 operation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove duplicate example
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update doc headers with Einsum operation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply comments after the first review: grammar corrections and sentence rephrase
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply feedback from tech-writers and online review
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Make additional grammar corrections
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Correct documentation: optimize some sentences, links and examples
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Support capital letters in equation and implicit mode
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Added operation Roll to MO.
* Updated BOM file.
* Replaced FrontReplacementPattern with FrontReplacementOp.
* Added set_input_permutation() to Roll infer function.
* Optimize imports.
* Code refactoring.
* Code refactoring.
* Removed unnecessary variable.
* Added name to the second reshape.
* Added rename_nodes to set original op name be at second reshape.
* Small fix.
* Review spec of Split operation
* Address review comments
* Changed detailed description
* Added more description for attribute
* Changed T1 and T2 for T and T_AXIS
* Changed range of values in axis input description
* 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
* Review spec of Mish operation
* Add minor changes
* Updated reference paper to a newer version
* Fix typo in SoftPlus op
* Minor change in example section
* Fix minor wording issues
* Review spec of PReLU operation
* Address review comments
* Correct second input description
* Add note to clarify input channel dimension
* Add additional equivalent formula for op
* Change reference link to abstract
* Add additional examples
* Address review comments related to wording
* Fix IR layer examples
* 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
* Review spec of Selu operation
* Fix path for Selu op in opset files
* Remove unnecessary line in example
* Address review comments related to wording
* Do not run transformations for TF 2.X OD API models recursively (needed for models with Loop operation)
* Added anchor front transformation to group all TF OD API transformations. Added new necessary dependencies from KerasRNN transformations related to While support
* Added JSON configuration files for TF 2.4 OD API SSD and EfficientDet models
* Updated documentation with table of supported TF 2.x OD API models
* Improved visualization of the dependency graph
* Updated version of the pre-processing transformation for TF 2.4 OD API models
* Fixes in the TF 2.x OD API models conversion
* Fixed order of applying mean/scale values for TF 2.X OD API pre-processing
* Updates to the documentation
* Fixes for the preprocessor block transformation for the TF OD API models
* Added code comments
* Fixed bom file
* Unit tests for the TF 2.4 OD API ObjectDetectionAPIPreprocessor2Replacement transformation
* Code cleanup
* Updates to the documentation on how to convert TF OD API models and graph dumper
* Added assert to make sure that operations in the `get_specific_ops_with_const_inputs` has exactly 2 inputs
* Added PreprocessConversionTest tests
* Disabled tests on GPU: CVS-51764
* Disabled some tests on VPU and TEMPLATE
* Support for input layout conversions in TEMPLATE plugin
* [Plugins test] Add functional test for correct import/export support by plugins
Test suite creates number of models with various precisions.
For each model:
- If plugin doesn't support IMPORT_EXPORT_SUPPORT metric - skip the test
- Try LoadNetwork without cache enabled fails - skip the test
- Do one inference
If Load and Infer request is succeeded and plugin has import metric:
- Load network with cache enabled. Infer request and compare outputs with original infer
- Import network, perform inference. Compare outputs with previous ones
* Fix Centos build warnings
Myriad: reset executableNetwork before next load
Myriad: Reduced time consumption for Myriad tests
* Caching test suite - batch size parameter support
* Add F3Net to list of supported models
* Add instruction for F3Net model pytorch->onnx conversion
* Add new file to ie_docs.xml
* Update instruction
* Apply comments
* Apply comments
* Apply review comments
* Refactor specification
* Complete detail description section
* Rewrite mathematical formula
* Fix range of values for min and max attributes
* Add note for conversion policy between float and integral type of input tensor
* Address review comments
* Fix typo in max attribute
* Remove redundant examples
