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fix conv2d_gradfix.py && grid_sample_gradfix.py torch version comparision fallback #197

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fix conv2d_gradfix.py && grid_sample_gradfix.py torch version comparision fallback #197

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3 changes: 2 additions & 1 deletion torch_utils/ops/conv2d_gradfix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
import warnings
import contextlib
import torch
from distutils.version import LooseVersion

# pylint: disable=redefined-builtin
# pylint: disable=arguments-differ
Expand Down Expand Up @@ -50,7 +51,7 @@ def _should_use_custom_op(input):
return False
if input.device.type != 'cuda':
return False
if any(torch.__version__.startswith(x) for x in ['1.7.', '1.8.', '1.9']):
if LooseVersion(torch.__version__) >= LooseVersion('1.7.0'):
return True
warnings.warn(f'conv2d_gradfix not supported on PyTorch {torch.__version__}. Falling back to torch.nn.functional.conv2d().')
return False
Expand Down
3 changes: 2 additions & 1 deletion torch_utils/ops/grid_sample_gradfix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@

import warnings
import torch
from distutils.version import LooseVersion

# pylint: disable=redefined-builtin
# pylint: disable=arguments-differ
Expand All @@ -34,7 +35,7 @@ def grid_sample(input, grid):
def _should_use_custom_op():
if not enabled:
return False
if any(torch.__version__.startswith(x) for x in ['1.7.', '1.8.', '1.9']):
if LooseVersion(torch.__version__) >= LooseVersion('1.7.0'):
return True
warnings.warn(f'grid_sample_gradfix not supported on PyTorch {torch.__version__}. Falling back to torch.nn.functional.grid_sample().')
return False
Expand Down