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Update forge_reference.py
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@@ -83,6 +83,8 @@ class PreprocessorReference(Preprocessor):
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if not (sigma_min <= sigma <= sigma_max):
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return h
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C = int(h.shape[1])
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if self.is_recording_style:
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self.recorded_h[location] = torch.std_mean(h, dim=(2, 3), keepdim=True, correction=0)
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return h
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@@ -121,6 +123,8 @@ class PreprocessorReference(Preprocessor):
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location = (transformer_options['block'][0], transformer_options['block'][1],
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transformer_options['block_index'])
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C = int(q.shape[2])
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if self.is_recording_style:
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self.recorded_attn1[location] = (k, v)
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return sdp(q, k, v, transformer_options)
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