MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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The "size" parameter of LRN operator is handled inconsistently. #808
Some DL frameworks use "depth_radius" while others use "size". From the formal definition:
This parameter is named by "size" in MMdnn. However, MMdnn handles it inconsistently in supported DL frameworks.