* sequences to ti transformations, support for seq_lengths input, update reference implemetations, add new tests
* fix python api, update sequences to ti transformation
* fix sequences to ti transformation
* Update sequences to TI transformation: fix reverse sequence support
* update single layer tests, fix TI reference impl, fix Sequences to TI transformations
* ngraph code style
* fix build
* fix ngraph python api
* resolver review comments, refactoring
* Resolve review remarks
* delete xfail
* [IE TESTS][IE CMAKE] Add cmake option for configuration to skip tests
* [IE TESTS] Remove extra dependency from IE tests shared lib
* Revert to add flag
ExpGenerateProposals: temporary buffer allocation moved from firmware to blob
* Added tmpBuffer
* Changed the amount of allocated memory
* firmware update
Co-authored-by: Ivan Poliksenov <ivan.poliksenov@intel.com>
* add tests for 5 ops based on model zoo
* remove unnecessary layers from the test
* add test case with merge_repeated=0
* remove unnecessary layers and add new test casae with do_softmax=0
* remove unnecessary layers from the test
* Fix ElementwiseInputReshape transformation
Reshape node always needs to be inserted
in order to preserve ShapeOf nodes (reshapability of a model) that can potentially be above
elementwise node.
Refactor EltwiseInputReshape_test and EltwiseInputNormalization_test since the logic of maintaining reshape for eltwise has been changed.
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Merge EltwiseInputNormalization and EltwiseInputReshape transformations
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove Unsqueeze from Fused_op
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix code after code review #1
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix code after review #2
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix code review #4
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Perform full normalization based on shapes of all inputs to eltwise
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Refactor much to avoid old API and edges with unsqueeze_dims attribute
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix code after review
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
XLink wrappers for POSIX semaphore functions (refer sem_overview for details). In the description of standard sem_destroy the following is noted:
"Destroying a semaphore that other processes or threads are currently blocked on (in sem_wait(3)) produces undefined behavior."
XLink wrappers use thread-safe reference count and destroy the semaphore only in case if there are no waiters.
* XLink semaphore wrapper impl
* Extend XLink win_synchapi
* ONNX LSTM get dimension only if required
* Test dynamic onnx lstm model import
* Enable LSTM_Seq_lens_unpacked_model import test
* Disable model zoo execution test "MSFT_opset9_LSTM_Seq_lens_unpacked"
* Add missed comma in xfail list
* Update error messages
* init xfail issue
* test zoo models import xfail issue
* Fix SEQ_LENGTH init
* Comments update
* Fix usage of v0::Add by overloaded operator
* nGraph: Fix TopK output shape inference
* nGraph: Correct TopK output shape inference
TopK lower bound of output shape at the axis was mistakenly calculated
basing on max_lenght instead of min_lenght.
* nGraph: Correct TopK output shape inference
* nGraph: Correct TopK type prop test
The topk_negative_axis_support type properties test was comparing
incompatible variables carrying the same value. So it was passing ok.
* nGraph: Add TopK type prop test
* nGraph: Fix code style
* nGraph: Follow review guidelines
Improve variables meaning.
Enforce rigid test pass condition.
* nGraph: Remove magic numbers
To follow MatMul spec update for 1D tensors this PR removes FusedOp decomposition for MatMul without changing current MatMul output shape inference logic (numpy/onnx aligned).
Based on previous PR #2212 that follows rather current spec logic.
* Fixed ConvertBroadcast3 pass for BIDIRECTIONAL mode to avoid excess Multiply operations
* Added funcitonal tests for new decompositions
* Return false if mode is unknown; avoid usign node in replace_node
* Added functional tests for cases when TargetShape input is not a Constant
