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@ -310,10 +310,7 @@ class TrainBenchmarkRunner(BenchmarkRunner):
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super().__init__(model_name=model_name, device=device, torchscript=torchscript, **kwargs)
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self.model.train()
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if kwargs.pop('smoothing', 0) > 0:
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self.loss = nn.CrossEntropyLoss().to(self.device)
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else:
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self.loss = nn.CrossEntropyLoss().to(self.device)
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self.loss = nn.CrossEntropyLoss().to(self.device)
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self.target_shape = tuple()
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self.optimizer = create_optimizer_v2(
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