Instance norm #1283
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Instance norm #1283
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soumith
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Apr 22, 2017
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almost looks good. Please check inline comments.
torch/nn/modules/instancenorm.py
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| return out.view(b, c, *input.size()[2:]) | ||
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| def force_eval(self): |
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torch/nn/modules/instancenorm.py
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| bias = self.bias.repeat(b) | ||
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| # Apply instance norm | ||
| input_reshaped = input.view(1, b * c, *input.size()[2:]) |
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soumith
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Apr 23, 2017
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thank you! |
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jjsjann123
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Dec 5, 2021
Only allows horizontal fusion across tensor inputs. This prevents accidental fusion of operations sharing constant scalar inputs. (e.g. casting operations, where the problem was )
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Implements instance normalization modules (1d, 2d, 3d). Based on batch norm, allows affine transform, but it is switched off by default.