add valuerror
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c5fdfbe188
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@ -11,7 +11,7 @@ class mean_squared_error(nn.Module):
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self.loss_fun = nn.MSELoss(reduction=reduction)
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self.loss_fun = nn.MSELoss(reduction=reduction)
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def forward(self,prediction:torch.Tensor, target: torch.Tensor):
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def forward(self,prediction:torch.Tensor, target: torch.Tensor):
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if prediction.size() != target.size() or target.ndim < 3:
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if prediction.size() != target.size() or target.ndim < 3:
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raise TypeError(f"""Inputs must be of the same shape (batch_size,channels,samples)
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raise TypeError(f"""Inputs must be of the same shape (batch_size,channels,samples)
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got {prediction.size()} and {target.size()} instead""")
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got {prediction.size()} and {target.size()} instead""")
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@ -46,7 +46,7 @@ class Avergeloss(nn.Module):
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def validate_loss(self,loss:str):
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def validate_loss(self,loss:str):
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if loss not in LOSS_MAP.keys():
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if loss not in LOSS_MAP.keys():
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raise ValueError()
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raise ValueError(f"Invalid loss function {loss}, available loss functions are {LOSS_MAP.keys()}")
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else:
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else:
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return LOSS_MAP[loss]
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return LOSS_MAP[loss]
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