Update conformer.py

egs/librispeech/ASR/conformer_ctc/conformer.py

@@ -32,7 +32,7 @@ class Conformer(Transformer):
         subsampling_factor (int): subsampling factor of encoder (the convolution layers before transformers)
         d_model (int): attention dimension
         nhead (int): number of head
-        dim_feedforward (int): feedforward dimention
+        dim_feedforward (int): feedforward dimension
         num_encoder_layers (int): number of encoder layers
         num_decoder_layers (int): number of decoder layers
         dropout (float): dropout rate

egs/librispeech/ASR/conformer_ctc2/conformer.py

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

egs/librispeech/ASR/conformer_mmi/conformer.py

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

egs/librispeech/ASR/pruned2_knowledge/conformer.py

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

egs/librispeech/ASR/pruned_transducer_stateless2/conformer.py

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

egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py

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

egs/librispeech/ASR/pruned_transducer_stateless6/conformer.py

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

egs/librispeech/ASR/streaming_conformer_ctc/conformer.py

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

egs/librispeech/ASR/transducer_stateless/conformer.py

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