Webwith shape: torch.Size ( [1, 11]) The size of input_ids will vary as the strings to be encoded vary in size. I also noticed that when feeding in 5 values of Y to produce 5 labels, it yields the error: ValueError: Expected input batch_size (1) to match target batch_size (55). with labels shape: torch.Size ( [1, 5, 11]) WebJul 24, 2024 · ValueError: Expected input batch_size (324) to match target batch_size (4) ptrblck July 24, 2024, 9:17am #61. Thanks for the update. In your code you are using enumerate, which will return an index as the first return value, so you should change the DataLoader loop to: for i, data in enumerate (trainloader): Once this is fixed, you’ll run ...
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Expected input batch_size (480) to match target batch_size (32)
WebSep 29, 2024 · Message: Cannot access user batch account; please check batch account settings. Cause: Incorrect Batch access key or pool name. Recommendation: Verify the … WebApr 20, 2024 · kungkookie (kungkookie) April 20, 2024, 9:19am 1. my code as: def CrossEntropyLoss(self, logit, target): n, c, h, w = logit.size() criterion = nn.CrossEntropyLoss(weight=self.weight, ignore_index=self.ignore_index, size_average=self.size_average) ... input and target batch or spatial batch sizes dont … WebOct 14, 2024 · ValueError: Expected input batch_size (64) to match target batch_size (30). Here's my neural network definition and training code. I'd really appriciate help, I'm relatively new to pytorch and can't figure out exactly what the problem is in my code. Thanks! indiana llc forms