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openvino/model-optimizer
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Evgeny Lazarev 99f94ca09c Adding v7::Gelu operation (#4497) 
* Added support for Gelu-6 to the MO

* Adding Gelu-6 to ngraph and python API + some tests

* Fixed typo in the Gelu approximation mode

* Fixed Gelu-6 reference implementation for Tanh mode

* Added transformation to downgrade v6::Gelu to v2::Gelu

* Added specification for the Gelu-6

* Code style fixes

* The Gelu-6 operation specification update

* Fixed compilation issue in reference implementation for Gelu

* Fix compilation issues for some OSs

* Code style fix

* One more cpplint issue fix

* Fixed Gelu6 reference implementation compilation on Windows.

* Code style fix

* Fixed various ngraph unit tests

* Code style check

* Reverted Gelu-2 to be fused op

* Fixed Gelu6 downgrade transformation

* Added unit test for Gelu6Downgrade transformation

* Update copyright year

* Updated copyright year

* Replaced tab characters with 4 spaces in IR reader tests

* Code style fixes

* Added default value for GeluApproximation mode for Gelu-6 op

* Fixed code style for Gelu-6

* Changed order of parameters for the Gelu evaluate to potentially avoid backward compatibility issues with ARM plugin

* Fixed code style

* Introduced opset7. Moved Gelu6 to opset7

* Fixed non-updated transformation

* Fixed opset version in ngraph Python API for Gelu operation

* Fixed typo in the opset number in the documentation

* Reverted some changes related to Gelu6

* Updated MO to produce Gelu7

* Updated unit tests for Gelu

* Updated Gelu7 specification

* Changed gelu reference implementation. Added opset7 to Python packages

* Updated Python API tests for Gelu operation

* Code style fix

* Marked get_approximation_mode function as const

* Added missing "const" qualifier

* Fixed code style issues in tests

* Added extractor for MxNet operation Gelu

* Spelling issues fix

* Updated MxNet supported symbols

* Added NGRAPH_OP_SCOPE for Gelu7 validate_and_infer_types

* Fixed a typo in the comment
2021-03-09 22:45:45 +03:00
..
automation
Telemetry for IE dependency warnings (#4431)
2021-03-01 13:30:40 +03:00
extensions
Adding v7::Gelu operation (#4497)
2021-03-09 22:45:45 +03:00
install_prerequisites
Add IE Python Dependency To MO (#4151)
2021-02-19 14:13:20 +03:00
mo
Fix incorrect edge removal in the disconnect() method (#4582)
2021-03-05 21:57:28 +03:00
telemetry
Telemetry for IE dependency warnings (#4431)
2021-03-01 13:30:40 +03:00
.coveragerc
Create .coveragerc
2020-05-06 23:38:42 +03:00
.pylintdict
moved pylint configuration files
2020-04-15 21:46:27 +03:00
.pylintrc
publish master branch snapshot, revision 0110d9c98fd7209589d06344f0d836f61d81f4b3
2020-04-27 21:21:29 +03:00
CMakeLists.txt
[MO] Add CMake install for Model Optimizer (28291) (#2831)
2020-10-30 14:37:06 +03:00
mo_caffe.py
Updated copyright year in all MO files (#4630)
2021-03-05 11:57:42 +03:00
mo_kaldi.py
Updated copyright year in all MO files (#4630)
2021-03-05 11:57:42 +03:00
mo_mxnet.py
Updated copyright year in all MO files (#4630)
2021-03-05 11:57:42 +03:00
mo_onnx.py
Updated copyright year in all MO files (#4630)
2021-03-05 11:57:42 +03:00
mo_tf.py
Updated copyright year in all MO files (#4630)
2021-03-05 11:57:42 +03:00
mo.py
Updated copyright year in all MO files (#4630)
2021-03-05 11:57:42 +03:00
README.md
MO dev guide refactoring (#3266) (#3595)
2021-01-14 16:28:53 +03:00
requirements_caffe.txt
Telemetry sender and MO instrumentation (#3804)
2021-02-10 10:51:31 +03:00
requirements_dev.txt
Stick requirement version of astroid to be 2.4.2. Also fixed pylint issue with astroid==2.5 (#4365)
2021-02-16 21:34:51 +03:00
requirements_kaldi.txt
Telemetry sender and MO instrumentation (#3804)
2021-02-10 10:51:31 +03:00
requirements_mxnet.txt
Update mxnet version (#4081)
2021-02-10 17:19:06 +03:00
requirements_onnx.txt
Telemetry sender and MO instrumentation (#3804)
2021-02-10 10:51:31 +03:00
requirements_tf2.txt
Telemetry sender and MO instrumentation (#3804)
2021-02-10 10:51:31 +03:00
requirements_tf.txt
Telemetry sender and MO instrumentation (#3804)
2021-02-10 10:51:31 +03:00
requirements.txt
Update mxnet version (#4081)
2021-02-10 17:19:06 +03:00
setup.py
[MO] pip packaging (#3123)
2021-02-09 10:47:14 +03:00

README.md

Prerequisites

Model Optimizer requires:

  1. Python 3 or newer

  2. [Optional] Please read about use cases that require Caffe* to be available on the machine in the documentation.

Installation instructions

  1. Go to the Model Optimizer folder:
    cd PATH_TO_INSTALL_DIR/deployment_tools/model_optimizer

  1. Create virtual environment and activate it. This option is strongly recommended as it creates a Python sandbox and dependencies for the Model Optimizer do not influence global Python configuration, installed libraries etc. At the same time, special flag ensures that system-wide Python libraries are also available in this sandbox. Skip this step only if you do want to install all Model Optimizer dependencies globally:

    • Create environment: 
          virtualenv -p /usr/bin/python3.6 .env3 --system-site-packages
    • Activate it: 
        . .env3/bin/activate

  2. Install dependencies. If you want to convert models only from particular framework, you should use one of available requirements_*.txt files corresponding to the framework of choice. For example, for Caffe use requirements_caffe.txt and so on. When you decide to switch later to other frameworks, please install dependencies for them using the same mechanism:

    pip3 install -r requirements.txt

    Or you can use the installation scripts from the "install_prerequisites" directory.

  3. [OPTIONAL] If you use Windows OS, most probably you get python version of protobuf library. It is known to be rather slow, and you can use a boosted version of library by building the .egg file (Python package format) yourself, using instructions below (section 'How to boost Caffe model loading') for the target OS and Python, or install it with the pre-built .egg (it is built for Python 3.4, 3.5, 3.6, 3.7):

         python3 -m easy_install protobuf-3.6.1-py3.6-win-amd64.egg

    It overrides the protobuf python package installed by the previous command.

    Set environment variable to enable boost in protobuf performance:

         set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp

Setup development environment

How to run unit-tests

  1. Run tests with:
    python -m unittest discover -p "*_test.py" [-s PATH_TO_DIR]

How to capture unit-tests coverage

  1. Run tests with:
    coverage run -m unittest discover -p "*_test.py" [-s PATH_TO_DIR]
  1. Build html report:
    coverage html

How to run code linting

  1. Run the following command:
    pylint mo/ extensions/ mo.py