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# Copyright (c) 2023 Amphion.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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import torch.nn as nn
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from abc import abstractmethod
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class UNetBlock(nn.Module):
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r"""Any module where forward() takes timestep embeddings as a second argument."""
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@abstractmethod
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def forward(self, x, emb):
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r"""Apply the module to `x` given `emb` timestep embeddings."""
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