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Fix sparse-attn dependency install with torch-cpu #631

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Jan 4, 2021
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15 changes: 14 additions & 1 deletion op_builder/sparse_attn.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,18 @@ def is_compatible(self):
command_status = list(map(self.command_exists, required_commands))
deps_compatible = all(command_status)

# torch-cpu will not have a cuda version
if torch.version.cuda is None:
cuda_compatible = False
self.warning(f"{self.NAME} cuda is not available from torch")
else:
major, minor = torch.version.cuda.split('.')[:2]
cuda_compatible = int(major) == 10 and int(minor) >= 1
if not cuda_compatible:
self.warning(
f"{self.NAME} requires CUDA version 10.1+, does not currently support >=11 or <10.1"
)

TORCH_MAJOR = int(torch.__version__.split('.')[0])
TORCH_MINOR = int(torch.__version__.split('.')[1])
torch_compatible = TORCH_MAJOR == 1 and TORCH_MINOR >= 5
Expand All @@ -33,4 +45,5 @@ def is_compatible(self):
f'{self.NAME} requires a torch version >= 1.5 but detected {TORCH_MAJOR}.{TORCH_MINOR}'
)

return super().is_compatible() and deps_compatible and torch_compatible
return super().is_compatible(
) and deps_compatible and torch_compatible and cuda_compatible