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Catherine Lee
2025-10-19 18:02:49 -07:00
parent 586c356373
commit bd32d09668
1 changed files with 16 additions and 0 deletions
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16
test/test_sparse_semi_structured.py
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@ -798,6 +798,10 @@ class TestSparseSemiStructuredTraining(TestCase):
@training_dtypes
@unittest.skipIf(TEST_WITH_ROCM, "Not supported on ROCm")
@unittest.skipIf(
"RelWithAssert" in torch.__config__.show(),
"failing in debug build, see https://github.com/pytorch/pytorch/pull/165158 for context",
)
def test_sp24_apply_dense(self, dtype) -> None:
M, N = 256, 1024
x = torch.randn([M, N], dtype=dtype, device="cuda")
@ -836,6 +840,10 @@ class TestSparseSemiStructuredTraining(TestCase):
@training_dtypes
@unittest.skipIf(TEST_WITH_ROCM, "Not supported on ROCm")
@unittest.skipIf(
"RelWithAssert" in torch.__config__.show(),
"failing in debug build, see https://github.com/pytorch/pytorch/pull/165158 for context",
)
def test_sp24_matmuls(self, dtype) -> None:
M, N, K = 64, 256, 1024
a = torch.randn([M, K], device="cuda", dtype=dtype)
@ -871,6 +879,10 @@ class TestSparseSemiStructuredTraining(TestCase):
)
@unittest.skipIf(TEST_WITH_ROCM, "Not supported on ROCm")
@unittest.skipIf(
"RelWithAssert" in torch.__config__.show(),
"failing in debug build, see https://github.com/pytorch/pytorch/pull/165158 for context",
)
def test_sp24_matmuls_mat_vec(self) -> None:
a = torch.randn([64, 128], device="cuda", dtype=torch.float16)
b = torch.randn([128], device="cuda", dtype=torch.float16)
@ -881,6 +893,10 @@ class TestSparseSemiStructuredTraining(TestCase):
torch.testing.assert_close(a_s @ b, (a * a_m) @ b, **atol_rtol_kw[a.dtype])
@unittest.skipIf(TEST_WITH_ROCM, "Not supported on ROCm")
@unittest.skipIf(
"RelWithAssert" in torch.__config__.show(),
"failing in debug build, see https://github.com/pytorch/pytorch/pull/165158 for context",
)
def test_sp24_matmuls_bmm(self) -> None:
a = torch.randn([64, 128], device="cuda", dtype=torch.float16)
b = torch.randn([5, 6, 128], device="cuda", dtype=torch.float16)