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Skip failing tests for rowwise-scaled #2022

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Merged
merged 1 commit into from
Apr 4, 2025
Merged

Skip failing tests for rowwise-scaled #2022

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3 changes: 3 additions & 0 deletions test/test_ops_rowwise_scaled_linear_cutlass.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
_int4_symm_cutlass_quant,
_int8_symm_cutlass_quant,
)
from torchao.testing.utils import get_compute_capability

DTYPES = [torch.float16, torch.bfloat16]
BATCH_SIZE = [1, 4, 8, 16, 32, 64]
Expand Down Expand Up @@ -87,6 +88,7 @@ def run_test_for_op(op, dtype, batch_size, size_mnk, use_bias):


@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA not available")
@pytest.mark.skipif(get_compute_capability() != 8.0, reason="Only supported on A100")
@pytest.mark.parametrize("dtype, batch_size, size_mnk, use_bias", TEST_PARAMS)
def test_rowwise_scaled_linear_cutlass_s4s4(dtype, batch_size, size_mnk, use_bias):
run_test_for_op(
Expand All @@ -99,6 +101,7 @@ def test_rowwise_scaled_linear_cutlass_s4s4(dtype, batch_size, size_mnk, use_bia


@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA not available")
@pytest.mark.skipif(get_compute_capability() != 8.0, reason="Only supported on A100")
@pytest.mark.parametrize("dtype, batch_size, size_mnk, use_bias", TEST_PARAMS)
def test_rowwise_scaled_linear_cutlass_s8s4(dtype, batch_size, size_mnk, use_bias):
run_test_for_op(
Expand Down
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