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Bug fix
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@ -301,7 +301,7 @@ class Zipformer2(EncoderInterface):
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max_downsampling_factor = max(downsampling_factor)
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max_downsampling_factor = max(downsampling_factor)
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num_frames_max = (num_frames0 + max_downsampling_factor - 1)
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num_frames_max = (num_frames0 + max_downsampling_factor - 1) // max_downsampling_factor
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# we divide the dropped-out feature dimensions into two equal groups;
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# we divide the dropped-out feature dimensions into two equal groups;
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# the first group is dropped out with probability 0.1, the second
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# the first group is dropped out with probability 0.1, the second
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@ -325,7 +325,7 @@ class Zipformer2(EncoderInterface):
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feature_masks = []
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feature_masks = []
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for i in range(num_encoders):
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for i in range(num_encoders):
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ds = downsampling_factor[i]
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ds = self.downsampling_factor[i]
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upsample_factor = (max_downsampling_factor // ds)
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upsample_factor = (max_downsampling_factor // ds)
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frame_mask = (frame_mask_max.unsqueeze(1).expand(num_frames_max, upsample_factor,
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frame_mask = (frame_mask_max.unsqueeze(1).expand(num_frames_max, upsample_factor,
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