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We should implement cl-mlperf:program:image-classification-onnx similar to
ck-tensorflow:program:image-classification-tflite and friends to support MLPerf image classification models in the ONNX format (e.g. ResNet50). Perhaps main.py already does all we need, just needs to have its inputs and outputs unified with program:image-classification-tflite.
We should implement
cl-mlperf:program:image-classification-onnx
similar tock-tensorflow:program:image-classification-tflite
and friends to support MLPerf image classification models in the ONNX format (e.g. ResNet50). Perhaps main.py already does all we need, just needs to have its inputs and outputs unified withprogram:image-classification-tflite
.