3bd4db86630b75bbbfb6c5c0a1a85603097bf9b2,torchaudio/transforms.py,DownmixMono,__call__,#DownmixMono#Any#,140
Before Change
self.ch_dim = int(not channels_first)
def __call__(self, tensor):
if isinstance(tensor, (torch.LongTensor, torch.IntTensor)):
tensor = tensor.float()
tensor = torch.mean(tensor, self.ch_dim, True)
After Change
self.ch_dim = int(not channels_first)
def __call__(self, tensor):
if not tensor.is_floating_point():
tensor = tensor.to(torch.float32)
tensor = torch.mean(tensor, self.ch_dim, True)
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances
Project Name: pytorch/audio
Commit Name: 3bd4db86630b75bbbfb6c5c0a1a85603097bf9b2
Time: 2019-01-04
Author: david@da3.net
File Name: torchaudio/transforms.py
Class Name: DownmixMono
Method Name: __call__
Project Name: pytorch/audio
Commit Name: 3bd4db86630b75bbbfb6c5c0a1a85603097bf9b2
Time: 2019-01-04
Author: david@da3.net
File Name: torchaudio/transforms.py
Class Name: Scale
Method Name: __call__
Project Name: pytorch/audio
Commit Name: 3bd4db86630b75bbbfb6c5c0a1a85603097bf9b2
Time: 2019-01-04
Author: david@da3.net
File Name: torchaudio/transforms.py
Class Name: MuLawExpanding
Method Name: __call__
Project Name: pytorch/audio
Commit Name: 3bd4db86630b75bbbfb6c5c0a1a85603097bf9b2
Time: 2019-01-04
Author: david@da3.net
File Name: torchaudio/transforms.py
Class Name: MuLawEncoding
Method Name: __call__