Laurent Erignoux
144fb65246
git-subtree-dir: Stable3DGen git-subtree-mainline:846d6cfad8git-subtree-split:c29f668ece
49 lines
1.8 KiB
Python
Executable File
49 lines
1.8 KiB
Python
Executable File
# MIT License
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# Copyright (c) Microsoft
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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# Copyright (c) [2025] [Microsoft]
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# SPDX-License-Identifier: MIT
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import torch
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import torch.nn as nn
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class LayerNorm32(nn.LayerNorm):
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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return super().forward(x.float()).type(x.dtype)
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class GroupNorm32(nn.GroupNorm):
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"""
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A GroupNorm layer that converts to float32 before the forward pass.
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"""
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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return super().forward(x.float()).type(x.dtype)
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class ChannelLayerNorm32(LayerNorm32):
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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DIM = x.dim()
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x = x.permute(0, *range(2, DIM), 1).contiguous()
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x = super().forward(x)
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x = x.permute(0, DIM-1, *range(1, DIM-1)).contiguous()
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return x
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