root_inp = onnx.helper.make_tensor_value_info("root", onnx.TensorProto.FLOAT, shape) output = onnx.helper.make_tensor_value_info("output", onnx.TensorProto.FLOAT ...
# e.g., python generate_RD_curves_vgg16.py 3 1 5 -> run GPU3 to do the statistics for the 5th kernal in layer 1. # the path of checkpoint file of pre-trained VGG16 ...
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