runexample-migraphx.md

Unified Inference Frontend (UIF) 1.2 User Guide

Step 3.3: Run a MIGraphX Example

Table of Contents

• 3.3.1: Sample Run with MIGraphX

  • 3.3.1.1: Preparation
  • 3.3.1.2: Run Sample
  • 3.3.1.3: Parameter Descriptions
  • 3.3.1.4: Example

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3.3.1: Sample Run with MIGraphX

This repo also contains a sample to run a demo application with MIGraphX. The demo loads a single image, infers on the image using an Imagenet trained model, and prints out the Top1 class.

3.3.1.1: Preparation

1. Run the following command to install OpenCV used by the sample:

pip install opencv-python

3.3.1.2: Run Sample

2. To run the sample, change the directory to the samples/migraphx directory. Use the following command with the correct parameters:

python migx_sample.py \
    --onnx_file <onnx_file> \
    --image <image_file>

3.3.1.3: Parameter Descriptions

                              --onnx_file:         name of an imagenet ONNX model file
                              --mxr_file:           name of an MIGraphX YModel file
                              --image:               name of input image file

Note: Either the --onnx_file or --mxr_file options should be given.

3.3.1.4: Example

python migx_sample.py --onnx resnet50_fp32.onnx --image cow.jpg

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