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[rocm] Fix current torch.linalg.lstsq limitation in InverseMelScale module #3939

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[rocm] Fix current torch.linalg.lstsq limitation in InverseMelScale module #3939

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7 changes: 6 additions & 1 deletion src/torchaudio/transforms/_transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
_get_sinc_resample_kernel,
_stretch_waveform,
)
from torch.utils.cpp_extension import ROCM_HOME

__all__ = []

Expand Down Expand Up @@ -495,7 +496,11 @@ def forward(self, melspec: Tensor) -> Tensor:
if self.n_mels != n_mels:
raise ValueError("Expected an input with {} mel bins. Found: {}".format(self.n_mels, n_mels))

specgram = torch.relu(torch.linalg.lstsq(self.fb.transpose(-1, -2)[None], melspec, driver=self.driver).solution)
if ROCM_HOME is not None:
solution = torch.linalg.pinv(self.fb.transpose(-1, -2)[None]) @ melspec
else:
solution = torch.linalg.lstsq(self.fb.transpose(-1, -2)[None], melspec, driver=self.driver).solution
specgram = torch.relu(solution)

# unpack batch
specgram = specgram.view(shape[:-2] + (freq, time))
Expand Down