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Decrease random_prob from 0.5 to 0.333
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@ -311,7 +311,7 @@ class ConformerEncoder(nn.Module):
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self.combiner = AttentionCombine(
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self.combiner = AttentionCombine(
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num_channels=encoder_layer.d_model,
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num_channels=encoder_layer.d_model,
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num_inputs=len(self.aux_layers),
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num_inputs=len(self.aux_layers),
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random_prob=0.5,
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random_prob=0.333,
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)
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)
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def forward(
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def forward(
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@ -1039,7 +1039,7 @@ class AttentionCombine(nn.Module):
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self,
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self,
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num_channels: int,
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num_channels: int,
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num_inputs: int,
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num_inputs: int,
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random_prob: float = 0.5,
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random_prob: float = 0.333,
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) -> None:
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) -> None:
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"""
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"""
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Args:
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Args:
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