![]() The resulting alexnet.onnx file contains a binary protocol buffer export ( model, dummy_input, "alexnet.onnx", verbose = True, input_names = input_names, output_names = output_names ) provide # a list here shorter than the number of inputs to the model, and we will # only set that subset of names, starting from the beginning. # the values you would pass to the forward() method) followed by the # flat list of parameters. # The inputs to the network consist of the flat list of inputs (i.e. ![]() Setting these does not change the semantics # of the graph it is only for readability. cuda () # Providing input and output names sets the display names for values # within the model's graph. Import torch import torchvision dummy_input = torch. PyTorch Governance | Persons of Interest.CPU threading and TorchScript inference.
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