* replace benchmark_app imean and iscale parameters
Tickets 80777 and 80900
* Warn about difference with imean and iscale, note that in help
* Clang format
* Clang format
* mean->scale
* Keep mean scale empty if not set
Co-authored-by: Andrei Kochin <andrei.kochin@intel.com>
* Fixed shape infer dep for blocked format
* Set preferred format for shape_of to be made from input rank
- ShapeOf should get the original output layout of the previous node, which is not reorderd.
* Preserve input constant when Squeeze and Unsqueeze shape infer is sone in MO IR Reader
* Fix bom test
* Add tests
* Fix value
* Fix test
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Review dims and labels propagation for logical not
* Review dims and labels propagation
for logical and, or, xor
* Remove duplicated tests
* Expand logical ops tests by numpy broadcast
and inputs order
* Review template shape infer of logical ops
- add static shape inference test
- add default ctor test
* Default ctor test for LogicalNot op
* Add ScatterUpdate type_prop tests
* Add evaluate_label for ScatterUpdate
* style update
* Reuse has_no_labels
* Adjust the logic to the single output
* Remove redundant size_check
* Migrate from HostTensor to ov Tensor
* Remove deprecation macro
* Use auto instead of HostTensorPtr
* Adjust tensor element type
* Update to reuse labels vector
* Use sizeof size_t to set element type
* Ensure static shapes on inputs
* [TF FE] Support models with topologically unsorted nodes
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Fix conversion for models with cycle
* Fix code-style
* Fix code-style
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* updated to get ockable memory for device inputs
* gpuFuncTest to set f64 scalar tensor
* aligned type names
* updated to get lockable memory for some specific precisions
* add a function to get a supported precision
* [TF FE] Support Assert with string tensors
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Update src/frontends/tensorflow/src/op/const.cpp
* Update src/frontends/tensorflow/src/op/const.cpp
* Apply code-review feedback: better to use UnsupportedConstant
* Correct unit-test
* Replace Op with Node
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Add reverse infer
* Add more convolutions and include transformation in normalize of tf fe
* Fix code style
* Add activations and eltwise support
* Fix code style
* Add deprecation supression
* Fix pad type
* Remove eltwise
* Remove ngraph namespace usage
* Fix code style
* Apply review feedback
* Add tests for activations and eltwise
* Make transformation friend of tensor to avoid deprecated API
* clang fix all
* Update src/common/transformations/include/transformations/common_optimizations/reverse_shape_and_type_infer.hpp
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* merge master
* reset original format
* remove AUTO
* Update tools/benchmark_tool/openvino/tools/benchmark/main.py
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* delete condition
* delete condition in py
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
Co-authored-by: Chen Peter <peter.chen@intel.com>
port https://github.com/openvinotoolkit/openvino/pull/14637
Shift to separating the Workflow section, including moving Run and Optimize inference inside Deploy locally
change several article and menu titles
minor additional restructuring
minor content tweaks
remove optimization introduction (may be brought back in parts later)
* several link fixes
* additional link fixes
* Set squeeze output shape to scalar if 0 <= input_shape[0] <= 1
* add squeeze type_prop test case
* Update src/core/shape_inference/include/squeeze_shape_inference.hpp
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
* Update src/core/shape_inference/include/squeeze_shape_inference.hpp
Co-authored-by: Katarzyna Mitrus <katarzyna.mitrus@intel.com>
