# Supported model types

The command syntax for the supported model types are:

- ONNX:

python model_configurator.py <path to .onnx model> onnx <other options>
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    **Note:** When running with multiple batch sizes, use an **asterisk** in place of first dimension for model-input.

    Example: `-model-input=gpu_0/data,float,[*,3,224,224]`
- TensorFlow:

python model_configurator.py **<path to tf model pb> tf -output-node-name**\ =<comma separated names of outputs> <other options>
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    **Note**: When running with multiple batch sizes, use an asterisk in place of the first dimension for model-input.

    Example: `-model-input=gpu_0/data,float,[*,3,224,224]`

Last Published: Aug 25, 2026

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