Loading fairseq/models/fconv.py +1 −1 Changes for fairseq/models/fconv.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -58,7 +58,7 @@ class FConvEncoder(FairseqEncoder): self.projections = nn.ModuleList() self.convolutions = nn.ModuleList() for (out_channels, kernel_size) in convolutions: pad = (kernel_size - 1) // 2 pad = (kernel_size - 1) / 2 self.projections.append(Linear(in_channels, out_channels) if in_channels != out_channels else None) self.convolutions.append( Loading fairseq/modules/conv_tbc.py +1 −1 Changes for fairseq/modules/conv_tbc.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -59,7 +59,7 @@ class ConvTBCFunction(Function): kernel_size = weight_size[0] output = input.new( input_size[0] - kernel_size + 1 + pad * 2, input_size[0] - kernel_size + 1 + int(pad * 2), input_size[1], weight_size[2]) Loading Loading
fairseq/models/fconv.py +1 −1 Changes for fairseq/models/fconv.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -58,7 +58,7 @@ class FConvEncoder(FairseqEncoder): self.projections = nn.ModuleList() self.convolutions = nn.ModuleList() for (out_channels, kernel_size) in convolutions: pad = (kernel_size - 1) // 2 pad = (kernel_size - 1) / 2 self.projections.append(Linear(in_channels, out_channels) if in_channels != out_channels else None) self.convolutions.append( Loading
fairseq/modules/conv_tbc.py +1 −1 Changes for fairseq/modules/conv_tbc.py: 1 added line, 1 removed line. Original line number Diff line number Diff line Loading @@ -59,7 +59,7 @@ class ConvTBCFunction(Function): kernel_size = weight_size[0] output = input.new( input_size[0] - kernel_size + 1 + pad * 2, input_size[0] - kernel_size + 1 + int(pad * 2), input_size[1], weight_size[2]) Loading