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Migrate TimeStretch and AmplitudeToDB to torch.nn.Module #456

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Merged
merged 2 commits into from
Mar 5, 2020
Merged

Migrate TimeStretch and AmplitudeToDB to torch.nn.Module #456

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629be24
AmplitudeToDB to torch.nn.Module
tomassosorio Mar 5, 2020
ea5a5d9
TimeStretch use torch.nn.Module
tomassosorio Mar 5, 2020
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9 changes: 4 additions & 5 deletions torchaudio/transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ def forward(self, S):
self.normalized, self.n_iter, self.momentum, self.length, self.rand_init)


class AmplitudeToDB(torch.jit.ScriptModule):
class AmplitudeToDB(torch.nn.Module):
r"""Turn a tensor from the power/amplitude scale to the decibel scale.

This output depends on the maximum value in the input tensor, and so
Expand All @@ -157,7 +157,7 @@ def __init__(self, stype='power', top_db=None):
self.stype = stype
if top_db is not None and top_db < 0:
raise ValueError('top_db must be positive value')
self.top_db = torch.jit.Attribute(top_db, Optional[float])
self.top_db = top_db
self.multiplier = 10.0 if stype == 'power' else 20.0
self.amin = 1e-10
self.ref_value = 1.0
Expand Down Expand Up @@ -592,7 +592,7 @@ def forward(self, specgram):
return F.compute_deltas(specgram, win_length=self.win_length, mode=self.mode)


class TimeStretch(torch.jit.ScriptModule):
class TimeStretch(torch.nn.Module):
r"""Stretch stft in time without modifying pitch for a given rate.

Args:
Expand All @@ -610,8 +610,7 @@ def __init__(self, hop_length=None, n_freq=201, fixed_rate=None):

n_fft = (n_freq - 1) * 2
hop_length = hop_length if hop_length is not None else n_fft // 2
phase_advance = torch.linspace(0, math.pi * hop_length, n_freq)[..., None]
self.phase_advance = torch.jit.Attribute(phase_advance, torch.Tensor)
self.phase_advance = torch.linspace(0, math.pi * hop_length, n_freq)[..., None]

def forward(self, complex_specgrams, overriding_rate=None):
# type: (Tensor, Optional[float]) -> Tensor
Expand Down