tqchen commented on code in PR #68:
URL: https://github.com/apache/tvm-ffi/pull/68#discussion_r2384408101
##########
tests/python/test_load_inline.py:
##########
@@ -193,9 +195,18 @@ def test_load_inline_cuda() -> None:
)
if torch is not None:
+ # test with raw stream
x_cuda = torch.asarray([1, 2, 3, 4, 5], dtype=torch.float32,
device="cuda")
y_cuda = torch.empty_like(x_cuda)
- mod.add_one_cuda(x_cuda, y_cuda)
+ mod.add_one_cuda(x_cuda, y_cuda, 0)
+ torch.testing.assert_close(x_cuda + 1, y_cuda)
+
+ # test with torch stream
+ y_cuda = torch.empty_like(x_cuda)
+ stream = torch.cuda.Stream()
+ with torch.cuda.stream(stream):
+ mod.add_one_cuda(x_cuda, y_cuda, stream.cuda_stream)
+ stream.synchronize()
torch.testing.assert_close(x_cuda + 1, y_cuda)
Review Comment:
likely needed for mypy
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