25 lines
426 B
Python
25 lines
426 B
Python
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import torch
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import torch.nn as nn
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class Loss(nn.Module):
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def __init__(self):
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super().__init__()
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self.loss = nn.BCELoss()
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def forward(self, x, y):
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return self.loss(x, y)
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if __name__ == '__main__':
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batch_size = 3
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x = torch.rand(batch_size, 1).cuda()
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y = torch.rand(batch_size, 1).cuda()
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criterion = Loss()
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loss = criterion(x, y)
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print(loss.shape)
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print(loss)
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