* Enable MapAllocator in IR Frontend
* Fix `ov_infer_request_ppp` test
With `mmap()`ing of IR, .bin can't be deleted until unmapping.
And it shows that there was a leak in test
* Add comment to Win `CreateFile()` regarding
FILE_SHARE_DELETE
* Unmap .bin file before IR files deletion
Wait ov::Model deletion to trigger .bin file unmapping
before IR files deletion
* ClangFormat
* Add `use_map_allocator` switch in FE
In case of direct use of FE (e.g. via MO), `mmap()` is OFF.
But in case of use FE via Core, `mmap()` is ON.
Move all openvino_conversion rountines into utils. Avoid using Squeeze without axis
that can create dynamic output rank
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Added Saved Model proto descriptors
* Included Google's protobuf repository
* Added wstring version of ov::util::directory_exists
* Added initial implementation of Saved Model iterator
# Conflicts:
# src/frontends/tensorflow/src/frontend.cpp
* Added missing proto files to repository
* Implemented reading of variables index and data files
# Conflicts:
# src/frontends/tensorflow/src/frontend.cpp
* Renamed class
# Conflicts:
# src/frontends/tensorflow/src/frontend.cpp
* Fix for cross-platform directory_exists
* Fixed codestyle and simplified code
* CI fixes
* Separeted Saved Model iterator from Proto iterator
* Moved variables index into separate class
* Added initial implementation of reading a variables from
saved model
# Conflicts:
# src/frontends/tensorflow/src/frontend.cpp
* Added external variable mapping
* Code cleanup
* Commit is for discussion purposes!!!
Implemented RestoreV2 with a workaround for strings
Not optimized, includes mem leak
* In progress...
* Added DT_STRING coverage into decoder_proto
* m_variables_index moved into underlying class
* Updated copyrgihts, added space between license and code
* Moved string constant to separate class
* Added AssignVariableOp operation
* Changed behavior of RestoreV2
Updated stubs for other ops
* Second working implementation, enabled:
Program-only models
Variables reading from data files
* Extended docs
* Fixed dynamic type
* Fixed naming
* Added Snappy submodule to support compression in TF FE
* Enabled Snappy Compression for TF FE
* Make static linkage of Snappy
Changing Warning as error behavior for 3rd party
* CI fixes
* Added Snappy copyright info
* Aligned behavior of StringConstant with UnsupportedConstant
* Added correct naming and removing unused inputs/outputs
* [TF FE] Post leftovers to support the MUSE model in SavedModel format
It contains tests imitating a case with Tokenizer extension and raised problems:
setting custom type for body graph Parameter, named ports for RaggedTensorToSparse
and Unique operations.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Update src/frontends/tensorflow/tests/convert_tricky_models.cpp
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Improve op support for detectron mask rcnn
* Initial commit
* Fix for reading processed list
* Format code
* Cleanup
* cleanup
* Cleanup
* cleanup test
* Add comment
* Add rt_info
* fix type
* More fixes for detectron
* Fix build
* Add tests for if
* Revert changes in index
* Add comment
* Fix test
* Fix get_axes_range
* Add tests and fix if type alignment
* Fix code style
---------
Co-authored-by: Mateusz <mateusz.mikolajczyk@intel.com>
At the conversion stage we can't resolve Assert node because the condition
is computed only during inference time.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Add descriptions to the transformations, add additional checks
* fix a warning
* TransposeSinking Rafactoring part2: move the transformations to a separate folder, align namespaces
* TransposeSinking refactoring: class names, namespaces
* codestyle
* resolve merge conflicts
* Ability to provide several source dirs for ncc-style checks
* Fixed include headers; added NCC to TF common
* Fixed NCC for frontends
* Fixed NCC for frontends
* Extra fixes
* Fixest push --f
* Clang-format
* Apply comments
* Add an option to specify required clang-format version
* Update src/frontends/tensorflow/src/decoder_proto.cpp
* Update src/frontends/tensorflow/src/decoder_proto.cpp
* [TF FE] Convert a model with Framework nodes
Now the conversion pipeline will convert all unsupported operations to Framework nodes
It is done with a hope that sub-graphs with Framework Nodes will be cut in later stages
like auto-pruning.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue
* Fix dynamic element type for FusedBatchNorm
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix build issue
* Fix build issue
* Continue translation in case translator limitation
* Change undefined to dynamic type
* Have one more change to dynamic type
* Change undefined to dynamic in Const translator
* Expect MO to handle dynamic type
* Exclude TransposeSinking pass if model contains Framework nodes
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Support EmptyTensorList and TensorListPushBack operations
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Rename a script to generate the test model
* Correct test model generating script
---------
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* initial version of implementation
* styles applied
* fixed and registration
* add more unit tests
* fixed and in legacy opset
* review remarks
* refactor of version name range
This is a corner case because body graph nodes have named output ports.
This allows to support custom RetinaNet model.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Support setting and getting element type, shape and value in PyTorch FE InputModel
* Fix code style
* Fix code style
* Fix rsub layer test
* Fix py style
* Apply review feedback
* Fix code style
* Fix initial values of input and output flags in Place
Vitaliy Urusovskij
Mateusz Bencer
Ekaterina Aidova
Roman Kazantsev
Piotr Krzemiński
Mateusz Mikolajczyk
Ilya Lavrenov
Ivan Tikhonov
Georgy Krivoruchko
Maxim Vafin
Tomasz Dołbniak
Przemyslaw Wysocki
Xuejun Zhai
Evgenya Stepyreva
mei, yang
Egor Duplenskii
Ilya Churaev
