Hello,
I am interested in running the image classification model to benchmark our accelerator and, currently, my environment is in pytorch therefore, I had a look at your experimental model under:
/tiny/benchmark/experimental/training_torch/image_classification/utils/model.py
The model contains ResNetBlock with two Conv2d convolutions followed per Batch Normalization. However, each Conv2d layer is configured with the bias enabled (bias=True) which is inconsistent with the Con2d layers in the Keras model that don't have the use_bias flag enabled (also it is not coherent with the purpose of batch normalization layer that follows).
Thank you,
Best regards,
Jean-Baptiste