08f188b2f93c1d69691f469482faa6c9df6747f9,torchaudio/sox_effects/sox_effects.py,,apply_effects_file,#Any#Any#Any#Any#Any#,158
Before Change
return torchaudio._torchaudio.apply_effects_fileobj(
path, effects, normalize, channels_first, format)
path = os.fspath(path)
signal = torch.ops.torchaudio.sox_effects_apply_effects_file(
path, effects, normalize, channels_first, format)
return signal.get_tensor(), signal.get_sample_rate()
After Change
return torchaudio._torchaudio.apply_effects_fileobj(
path, effects, normalize, channels_first, format)
path = os.fspath(path)
return torch.ops.torchaudio.sox_effects_apply_effects_file(
path, effects, normalize, channels_first, format)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: pytorch/audio
Commit Name: 08f188b2f93c1d69691f469482faa6c9df6747f9
Time: 2021-02-02
Author: prabhatr@usc.edu
File Name: torchaudio/sox_effects/sox_effects.py
Class Name:
Method Name: apply_effects_file
Project Name: pytorch/audio
Commit Name: 08f188b2f93c1d69691f469482faa6c9df6747f9
Time: 2021-02-02
Author: prabhatr@usc.edu
File Name: torchaudio/sox_effects/sox_effects.py
Class Name:
Method Name: apply_effects_tensor
Project Name: pytorch/audio
Commit Name: 08f188b2f93c1d69691f469482faa6c9df6747f9
Time: 2021-02-02
Author: prabhatr@usc.edu
File Name: torchaudio/backend/sox_io_backend.py
Class Name:
Method Name: load