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Export script for facial_feature.
import torch import sys from torch.autograd import Variable def torch2onnx(filename): try: model = torch.load(filename, map_location={"cuda:0": "cpu"}) except IOError: print("Could not find " + filename) sys.exit(0) model.train(False) dummy = Variable(torch.randn(1, 1, 96, 96)) torch.onnx.export(model, dummy, 'resnet_facial_feature.onnx', verbose=True, opset_version=10) print("Export is done") if __name__ == "__main__": filename = input("PyTorch model save file name : ") torch2onnx(filename)