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[tensor-descriptor]: Enable test_make_tensor_descriptor_loop_carried (#4345)
Now that we have improved the translation of tensor descriptor (device) APIs to block pointer APIs and fixed several functional issues in downstream passes (e.g. materialze-block-ptr, remove-layout-conversions, coalesceing, etc...) this PR enabled the test that checks the tensor descriptor API in the presence of `scf.for`, `scf.while` loops containing control flow (`scf.if`). --------- Signed-off-by: Tiotto, Ettore <[email protected]>
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python/test/unit/language/test_tensor_descriptor.py

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@@ -666,8 +666,6 @@ def kernel_make_tensor_descriptor_loop_carried(a_ptr, M, N, MBLOCK: tl.constexpr
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@pytest.mark.interpreter
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@pytest.mark.skipif(is_hip(), reason="Currently unsupported by HIP devices")
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def test_make_tensor_descriptor_loop_carried(device):
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if is_xpu():
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pytest.skip("FIXME: issue #4132")
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M, N = 64, 512
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torch.manual_seed(42)
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A = torch.randn((M, N), dtype=torch.float32, device=device)

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