* interpolate improvement
* JITTED cubic mode
* fix 'code is too big' when JIT
* extend test to cover tail code path
* transformation of interpolate1 to interpolate4
* add low precision transformation for interpolate4
* 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
* QueryState moved to InferRequest
* deprecate ExecutableNetwork::QueryState,chaged tests (without any check yet)
* fix build
* review fixes + build fix
* build fix + review changes
* remove blank line
* style fixes
* test build fixes
* style fix
* style fix
* fixed build of tests
* fix
* mac build fix
* hddl plugin build fix
* clean up unneeded implementation for method
* fixed tests build
* add implementation for getstate, correct getName for MklDNN
* fixed description of state API in comments
* lint fixes
* Rename MemoryState to VariableState
* added tests for cpu for VariableStates, several small fixes in tests and code
* merge fix
* lint fix
* remove whitespaces
* spaces fix
* fix in test to make it workable for all plugins
* fix typo
* fix test for gna
* remove extra comment
* fix test for gna
* Initial summary dumper implementation
* Handle Tensoriterator body + add parser script
* Add support of XML reports merging + report OP names with versions
* Remove debug device name change
* Fix windows building issue
* Add --disable_test_skips command line option
* Gtest failure with logging
* Change skipping logic and resolve linkage errors caused by extern
* Get graph body from Loop
* Fix disable_tests_skipping symbol redefinition
* Fix inline for currentTestIsDisabled
* Rollback get_body for Loop
* Handle cases with skip in test SetUp
* Report Loop and TI ops along with ops in subgraph body
* Resolve some PR comments
* Dummy commit to kick pre-commit validation
Co-authored-by: Efode, Irina <irina.efode@intel.com>
* Loop op ngraph implementation, update IE IR Reader and ngraph to cnn converter
* refactoring SubGraphOp class
* type prop unit tests
* ngraph code style
* update comment
* single layer tests for Loop operation
* fix file name
* Add SpecialBodyPorts attribute in Loop op, update single layer tests
* first debug version
* more tests
* missing test file
* removed not needed shapes from test data
* move test data to new folder
* shape infer tests
* Added execution tests
* add several new tests cases, strict checks in Loop impl, temporary disable single layer tests
* ngraph codestyle, refactoring, clone_new_args test
* resolve review remarks
* fix build
* fix tests
* more execution tests
* add a new constructor of Loop op, resolve review remarks
* execution tests
* synchro with current version
* handle scalars and more tests
* scalar test enabled
* loop reference impl
* bug fixes in tests, onnx importer part and in the ref implementation of the Loop op
* applied remarks
* handle unsupported cases
* rewrite unit tests
* update INTERPRETER manifest
* is_termination_condition_always_true simplification
* [TEST] update python models tests
* review remarks
* added xfail to tiny_yolov3
* missing model test
* revert test data
* fixed numbers of failing tests
* fixed failed test description
* fix test message
* fix xfail test
* reference implementation for ngraph::function
* update loop reference implementation
* Refactor loop reference implementation
* ngraph codestyle
* Refactoring
* Submodule update
* Skip check for Reduce ops in mkl for scalar cases, support for yolov3
* fix ngraph reader tests
* revert ceiling op, renaming
* Add allias(Ceiling) for Ceil op in mkl
* delete xfails
* fix build
* single layer tests for tensor iterarator
* Refactor TensorIterator and Loop ref impls
* revert dynamic tensor creation, disable some dynamic test cases
* fix warning
* Resolve review remarks
* revert Predefined values in Loop tests
Co-authored-by: Mateusz Bencer <mateusz.bencer@intel.com>
* change tile reference implementation
* remove tile tests from interpreter manifest
* add repeats parameter to tile
* improve tile reference implementation
* add repeats parameter to tile reference call in tile evaluate method
* style apply
* include <numeric>
* add unnamed namespace to helper functions. Change stdio.h to cstdio. Change input_rank to be constant int
* add const reference to parameter repeats in tile reference function
* change createPitches function to use partial_sum instead of accumulate
* change a little bit createPitches function
* style-apply
* fix function naming
* style-apply
* fix calling functions name bug
* Add description of create_pitches function
* first version with debug logs
* reduce footprint
* single layer tests
* added more tests
* fixed handling bool type
* styles applied
* fix tile
* [ONLY DEBUG] print error scenario message
* fixed problem with e2e tests
* fixed casting of start_axis for numpy mode
Co-authored-by: pszmel <piotr.szmelczynski@intel.com>
* [IE] Add batched blob support
New `class BatchedBlob : public CompoundBlob` defined to allow to pass multiple blobs as 1 InferRequest input.
Motivation: There is the special user case when a number of plain images (e.g. `NV12Blob`) should be passed as one input for network which batch size > 1.
`class CompoundBlob` is not applicable for such cases due to:
1. `NV12Blob` is `CompoundBlob` which prevents to combine multiple NV12 images to a CompoundBlob
2. The default behavior in most of plugins - do not accept generic CompoundBlob as `SetBlob()` argument
Adding `SetBlob(name, vector<Blob::Ptr>...)` to `class IInferRequest`, `class InferRequest`, `class IInferRequestInternal`, ... - is not effective solution due to limited and specific use cases for `batched inputs`.
+ Apply rule-of-zero to CompoundBlob and inherited classes.
* Add "BATCHED_BLOB" optimization capability metric
* Add BatchedBlob usage to hello_nv12_input_classification
* Apply offline code review outcome:
1. Revert CompoundBlob public .ctors signatures
2. Remove 'workaround' .ctor for `BatchedBlob`
3. Revert tensor descriptors of `I420Blob` `NV12Blob` back to the 'fake' value.
* Code review fix
* Add functional tests for CPU, GPU, MULTI, HETERO
* update doc comment
* Apply code review change requests.
* [LPT] functional tests: FakeQuantize with dynamic intervals
* [LPT] decomposeFakeQuantize: removed debug info
* [LPT] Add NetworkHelper::mark_as_dequantization_op function
[ngraph] Fix compare runtime info function
[LPT] Fix test cases with no DEQUANTIZATION runtime attribute
[LPT] Change include path for dequantization op
* [LPT] Remove Subtract functional test, enable and rename legacy tests
Co-authored-by: Vladislav Golubev <vladislav.golubev@intel.com>
Co-authored-by: Aleksandr Pertovsky <aleksandr.pertovsky@intel.com>
* enable reference implementation for CTCGreedyDecoder single layer tests
* update unit test to have blnak_index
* remove merge_repeated disable flag for CPU test because CPU impl always
merge
* add CTCGreedyDecoder single layer tests for CPU
* changes to match xPU implementations
* apply reviewers suggestions
Co-authored-by: Patryk Elszkowski <patryk.elszkowki@intel.com>
* Added tests
* Changed iterator algorithm
* Fixed legacy tests
* Added plugin tests
* Disabled some tests
* Remover parameter tests
* Fixed conversion
* Use old approach for old tests
* Temp commit
* Fixed iterator
* Fixed some tests
* Change logic to compare iterators
* Disabled CPU functional test
* Temp commit
* Disabled test for GPU
* Fixed network copy
* Try to fix test for Windows
* Disabled test for GNA
* Disable plugin tests
* Disable legacy test
* Remove redundant code
`GetBlob()` as well
- test were extended to cover case when input tensors are copied into
Blob return by `InferRequest::GetBlob`
- channel number of input tensor is made a test parameter
* fix typo in LRN docs
* fix link to reference in LRN doc
* LRN, LRN_IE types alignment with spec
* align LRN ref implementation to plugins behavior
* update LRN docs
* Improve LRN reference implementation performance
* restore LRN constructor with no axes in the input
* apply code format
* revert double->float size_t->int change
* small fix to example in doc
* revert double->float size_t->int in onnx_importer and backend tests
* Changes to docs after review
* Loop op ngraph implementation, update IE IR Reader and ngraph to cnn converter
* refactoring SubGraphOp class
* type prop unit tests
* ngraph code style
* update comment
* single layer tests for Loop operation
* fix file name
* Add SpecialBodyPorts attribute in Loop op, update single layer tests
* add several new tests cases, strict checks in Loop impl, temporary disable single layer tests
* ngraph codestyle, refactoring, clone_new_args test
* resolve review remarks
* fix build
* fix tests
* add a new constructor of Loop op, resolve review remarks
* Initial movement
* Divided transformations to common and legacy
* Changed ngraph visibility to ie_api.h
* CommonTransformaitons to Internal
* New trasnformations location structure
* fixde typo; move convert_quantize_dequantize to common
* Added control_flow folder
* [GNA] fix cases when layer output is used in both memory and concat parent layer
* coma fixes
* Issue-36189 CopyLayerPass for concat parent cases fix test
* Fix test for CPU
* Remove test for GPU
* [GNA] get output before activation test
[GNA] SubstituteScaleShiftBroadCastPass fix for cases when there are multiple scaleshifts as an output from the layer
[GNA] Generalize Fix where LSTMCell output was zero due to being fused into activation
[GNA] Fix LSTMCell being zero on channel C if being output layer
* linux build fix
Chenhu Wang