* initial split of on_adapter function in order to check if all checks will pass
* remove blank line and change if statements for on_apdapter for void type
* add type checking instead of name checking
* add bracket two if/else if statements and move helper functions to private
* fix style
* revert removing ngarph check for empty pramas and result
* move map_type_from_body method to private, add const& function arguments
The optimization does not have a use case at the moment
since in scope of greedy mode we removed insertion of
convert/reorder after input layer.
This logic will be re-implemented after ngraph migration
and then we can bring back the optimization together with
some tests.
* do not convert Sequences to TensorIterator when plugin supports Sequence primitive
* fix referece implementations for Sequences, processing seq_len value == 0 case
* Adding new mode for LSTMSequence single layer tests
* update single layer tests
* fix failed unit tests, updated single layer tests for rnn/gru sequences
* fix failed unit tests
* fix single layer tests
* ignore failed single layer tests on gpu (known issue), fix review remarks
* Move Mul node before Reshape in GroupConvolutionMultiplyFusion
In following scenario:
+-----------+
| weights |
+-----------+
|
v
+-----------+
| Reshape |
.... +-----------+
\ /
\ /
v v
+--------------------+
| GroupConvolution |
+--------------------+
|
v
+-----------+ +----------+
| Multiply | <--- | Constant |
+-----------+ +----------+
if a second input (weights) to GroupConvolution is a Reshape,
we should apply Multiply node directly to weights rather than Reshape node:
+-----------+
| weights |
+-----------+
|
v
+-----------+ +----------+
| Multiply | <--- | Constant |
+-----------+ +----------+
|
v
+-----------+
| Reshape |
.... +-----------+
\ /
\ /
v v
+--------------------+
| GroupConvolution |
+--------------------+
|
v
That approach has no side effects in the usual scenario when weights are constant,
but it's necessary for models with FakeQuantize since it gives possibility to perform
GroupConvolutionTransformation from LPT transformations.
* remove unnecessary new lines
* simplify code
* check if input to reshape has shape that starts with G * O
* add pattern::has_static_dims({0, 1}) to weights
* Use K = 3 in WeightsWithFakeQuantizeAndReshape tests
* Add LPT tests for groupconvolution_qdq_transformation
* fix PullReshapeThroughDequantizationTransformation tests
* Small shape propagation & evaluators update
* minor style changes
* Selu operation shape inference
* Experimental tests for activation operations in the IE test infreastructure
* minor style fixes
* prelu fix
* Add ScatterElements value propogation
* Add condition for input nodes
* Add asserts
* Refactoring scatter according to review
* Add unit tests for 1d axis tensor
* Refactoring according to review
* refactoring unit test
* Refactoring according to review
* Update unit test
* Update unit test
* [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
* Build python wheel w/o strict dependency to _pyngraph
* Exclude extra components which are not needed for IE python wheel
- myriad_compile
- myriad_perfcheck
- compile_tool
- inference_engine_c
* Added add_clang_format commands
* Added clang_format targets as dependencies for original targets
* Update CI scripts
* Fixed code-style for nGraph unit tests
* Change job name
* Disable clang-format for Windows
* Fixed nGraph python build
* Fixed comments and enabled code style for ONNX Editor
* Disable code style check on compilation step
* Some additional checks in the MO transformation UnsqueezeTileReshapeBlockToInterpolate.
* Refactored transformation UnsqueezeTileReshapeBlockToInterpolate: checks of applicabilty were moved into the separate function.
* Rewritten the MO transformation UnsqueezeTileReshapeBlockToInterpolate.
* Now we replace all block Unsqueeze+Tile+Reshape by Interpolate-4.
* Fixed comment.
* Added comments about applicability criteria.
* Some fixes.
* Small fix.
* Deleted redundant type casts.
* Added an example into comment.
* Now an interpolated axis length is calculated using the function node_to_get_shape_value_of_indices.
* Fixed tests.
* Optimized imports.
* [GNA] Add gna model dumping
* [GNA] Modify debug layout, add timestamp, fix compound bias dump
* [GNA] Move data dump to another file
* [GNA] Create model data dump file only when needed
* 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
