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@@ -211,12 +211,14 @@ class TimestepEmbedder(nn.Module):
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Embeds scalar timesteps into vector representations.
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"""
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def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None):
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def __init__(self, hidden_size, frequency_embedding_size=256, output_size=None, dtype=None, device=None, operations=None):
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super().__init__()
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if output_size is None:
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output_size = hidden_size
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self.mlp = nn.Sequential(
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operations.Linear(frequency_embedding_size, hidden_size, bias=True, dtype=dtype, device=device),
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nn.SiLU(),
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operations.Linear(hidden_size, hidden_size, bias=True, dtype=dtype, device=device),
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operations.Linear(hidden_size, output_size, bias=True, dtype=dtype, device=device),
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)
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self.frequency_embedding_size = frequency_embedding_size
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