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Use torch.onnx.is_in_onnx_export() instead of torch.jit.is_scripting() since the former is dedicated to this use case.

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mush42
2023-09-26 15:28:15 +02:00
parent 01c99161c4
commit 336dd20d5b
1 changed files with 3 additions and 3 deletions
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6
matcha/utils/model.py
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@@ -14,10 +14,10 @@ def sequence_mask(length, max_length=None):
def fix_len_compatibility(length, num_downsamplings_in_unet=2):
factor = torch.scalar_tensor(2).pow(num_downsamplings_in_unet)
length = (length / factor).ceil() * factor
if torch.jit.is_tracing():
return length
else:
if not torch.onnx.is_in_onnx_export():
return length.int().item()
else:
return length
def convert_pad_shape(pad_shape):