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Update conformer.py (#1857)

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* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension
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Seonuk Kim 2025-01-06 14:17:02 +09:00 committed by GitHub
parent 3b263539cd
commit 3b6d54007b
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9 changed files with 9 additions and 9 deletions
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2
egs/librispeech/ASR/conformer_ctc/conformer.py
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@ -32,7 +32,7 @@ class Conformer(Transformer):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension d_model (int): attention dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
num_decoder_layers (int): number of decoder layers num_decoder_layers (int): number of decoder layers
dropout (float): dropout rate dropout (float): dropout rate

2
egs/librispeech/ASR/conformer_ctc2/conformer.py
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@ -42,7 +42,7 @@ class Conformer(Transformer):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension, also the output dimension d_model (int): attention dimension, also the output dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
num_decoder_layers (int): number of decoder layers num_decoder_layers (int): number of decoder layers
dropout (float): dropout rate dropout (float): dropout rate

2
egs/librispeech/ASR/conformer_mmi/conformer.py
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@ -33,7 +33,7 @@ class Conformer(Transformer):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension d_model (int): attention dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
num_decoder_layers (int): number of decoder layers num_decoder_layers (int): number of decoder layers
dropout (float): dropout rate dropout (float): dropout rate

2
egs/librispeech/ASR/pruned2_knowledge/conformer.py
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@ -42,7 +42,7 @@ class Conformer(EncoderInterface):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension, also the output dimension d_model (int): attention dimension, also the output dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
dropout (float): dropout rate dropout (float): dropout rate
layer_dropout (float): layer-dropout rate. layer_dropout (float): layer-dropout rate.

2
egs/librispeech/ASR/pruned_transducer_stateless2/conformer.py
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@ -42,7 +42,7 @@ class Conformer(EncoderInterface):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension, also the output dimension d_model (int): attention dimension, also the output dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
dropout (float): dropout rate dropout (float): dropout rate
layer_dropout (float): layer-dropout rate. layer_dropout (float): layer-dropout rate.

2
egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py
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@ -42,7 +42,7 @@ class Conformer(EncoderInterface):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension, also the output dimension d_model (int): attention dimension, also the output dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
dropout (float): dropout rate dropout (float): dropout rate
layer_dropout (float): layer-dropout rate. layer_dropout (float): layer-dropout rate.

2
egs/librispeech/ASR/pruned_transducer_stateless6/conformer.py
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@ -42,7 +42,7 @@ class Conformer(EncoderInterface):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension, also the output dimension d_model (int): attention dimension, also the output dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
dropout (float): dropout rate dropout (float): dropout rate
layer_dropout (float): layer-dropout rate. layer_dropout (float): layer-dropout rate.

2
egs/librispeech/ASR/streaming_conformer_ctc/conformer.py
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@ -69,7 +69,7 @@ class Conformer(Transformer):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension d_model (int): attention dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
num_decoder_layers (int): number of decoder layers num_decoder_layers (int): number of decoder layers
dropout (float): dropout rate dropout (float): dropout rate

2
egs/librispeech/ASR/transducer_stateless/conformer.py
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@ -35,7 +35,7 @@ class Conformer(Transformer):
subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers) subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
d_model (int): attention dimension d_model (int): attention dimension
nhead (int): number of head nhead (int): number of head
dim_feedforward (int): feedforward dimention dim_feedforward (int): feedforward dimension
num_encoder_layers (int): number of encoder layers num_encoder_layers (int): number of encoder layers
dropout (float): dropout rate dropout (float): dropout rate
cnn_module_kernel (int): Kernel size of convolution module cnn_module_kernel (int): Kernel size of convolution module