* [TF FE] Handle optional attributes for Convolutional operations (#12230)
* [TF FE] Handle optional attributes for Convolutional operations
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-style rules
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Implement LinSpace and BatchMatMul translators (#12271)
* [TF FE] Implement LinSpace and BatchMatMul translators
It helps to convert STN model (from e2e testing) using TensorFlow frontend
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix BatchMatMul translator
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix LinSpace operation translator
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-review feedback
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-style rules
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code style rules
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Fix conversion of NetVLAD model (#12328)
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Implement translators for TensorFlow ConvBackpropInput operations (#12356)
* [TF FE] Implement ConvBackPropInput translators
Now the translators supports dynamic input_sizes attribute and different padding modes
including EXPLICIT mode
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix clang-style issue
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix code-style issue
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix code-style issue
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-review feedback and fix build issues
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Apply code-review feedback: check for input size
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix retrieving explicit_padding attribute
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix code style
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Fix StridedSlice translator for new_axis vector size longer input rank (#12442)
* [TF FE] Fix StridedSlice translator for new_axis vector longer input rank
Currently, new_axis vector is cut by input rank that is correct and leads to the loss of new axes.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Use int64 type in mask_to_vector function
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Refactor translators for Conv2d and Conv3d (#12444)
It allows to convert CNN-Transformer model. Padding was previously incorrect.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Implement conversion for Attention OCR model (#12428)
* [TF FE] Implement conversion for Attention OCR model
The following scope of work is done to make Attention OCR convertable:
1. Refactored translators for BiasAdd, Slice, and ArgMax operations. Add translation for StopGradient operation.
2. The previous traversing algorithm to compute topological sorted nodes list was incorrect. Now it is implemented based on topologically_sorted function from core/graph_util.hpp.
3. The unsupported data types are now preliminary converted to undefined type for the purpose of to have them cut off.
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* [TF FE] Refactor MaxPool operation translator for xj_feature model (#12485)
* [TF FE] Refactor MaxPool operation translator for xj_feature model
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Correct MaxPoolV2 since it has three inputs
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
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