Skip to content

[ROCm] Skip sparse tests on ROCm due to hipSPARSE issue #34610

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
copybara-service merged 1 commit into from
Jan 27, 2026
Merged

[ROCm] Skip sparse tests on ROCm due to hipSPARSE issue #34610

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
23 changes: 16 additions & 7 deletions tests/sparse_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -138,6 +138,10 @@ def test_csr_fromdense_ad(self, shape, dtype):
)
@jax.default_matmul_precision("float32")
def test_csr_matmul_ad(self, shape, dtype, bshape):
if jtu.is_device_rocm():
# hipSPARSE segfault observed as of ROCm 7.2.
# TODO(ROCm): Re-enable once hipSPARSE issue is fixed.
self.skipTest("test_csr_matmul_ad not supported on ROCm due to hipSPARSE issue")
csr_matmul = sparse_csr._csr_matvec if len(bshape) == 1 else sparse_csr._csr_matmat
tol = {np.float32: 2E-5, np.float64: 1E-12, np.complex64: 1E-5,
np.complex128: 1E-12}
Expand Down Expand Up @@ -216,13 +220,10 @@ def test_csr_fromdense(self, shape, dtype):
transpose=[True, False],
)
def test_csr_matvec(self, shape, dtype, transpose):
if (
jtu.is_device_rocm() and
get_rocm_version() < (6, 4) and
dtype in (jtu.dtypes.floating + jtu.dtypes.complex)
):
# TODO: Remove this check when ROCm 6.4+ is the minimum supported version
self.skipTest("ROCm <6.4 bug: NaN propagation when beta==0 (fixed in ROCm 6.4.0)")
if jtu.is_device_rocm():
# hipSPARSE segfault observed as of ROCm 7.2.
# TODO(ROCm): Re-enable once hipSPARSE issue is fixed.
self.skipTest("test_csr_matvec not supported on ROCm due to hipSPARSE issue")

op = lambda M: M.T if transpose else M

Expand Down Expand Up @@ -592,6 +593,10 @@ def test_coo_spmm(self, shape, dtype, transpose):
)
@jtu.run_on_devices("gpu")
def test_csr_spmv(self, shape, dtype, transpose):
if jtu.is_device_rocm():
# hipSPARSE segfault observed as of ROCm 7.2.
# TODO(ROCm): Re-enable once hipSPARSE issue is fixed.
self.skipTest("test_csr_spmv not supported on ROCm due to hipSPARSE issue")
tol = {np.float32: 2E-5, np.float64: 2E-14}

rng_sparse = sptu.rand_sparse(self.rng())
Expand Down Expand Up @@ -1043,6 +1048,10 @@ def test_transpose(self, shape, dtype, Obj):
for Obj in [sparse.CSR, sparse.CSC, sparse.COO, sparse.BCOO]))
@jax.default_matmul_precision("float32")
def test_matmul(self, shape, dtype, Obj, bshape):
if jtu.is_device_rocm():
# hipSPARSE segfault observed as of ROCm 7.2.
# TODO(ROCm): Re-enable once hipSPARSE issue is fixed.
self.skipTest("test_matmul not supported on ROCm due to hipSPARSE issue")
rng = sptu.rand_sparse(self.rng(), post=jnp.array)
rng_b = jtu.rand_default(self.rng())
M = rng(shape, dtype)
Expand Down
Loading