Converting a Model to Intermediate Representation (IR)

Use the mo.py script from the <INSTALL_DIR>/deployment_tools/model_optimizer directory to run the Model Optimizer and convert the model to the Intermediate Representation (IR):

python3 mo.py --input_model INPUT_MODEL --output_dir <OUTPUT_MODEL_DIR>

You need to have have write permissions for an output directory.

NOTE: Some models require using additional arguments to specify conversion parameters, such as --input_shape, --scale, --scale_values, --mean_values, --mean_file. To learn about when you need to use these parameters, refer to Converting a Model Using General Conversion Parameters.

To adjust the conversion process, you may use general parameters defined in the Converting a Model Using General Conversion Parameters and Framework-specific parameters for:

• Caffe
• TensorFlow
• MXNet
• ONNX
• Kaldi

See Also

• Configuring the Model Optimizer
• IR Notation Reference
• Model Optimizer Extensibility
• Model Cutting