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skip scaled/grouped mm related tests on unsupported gpus #5847

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Merged
liqiangxl merged 1 commit into from
Jan 20, 2026
Merged

skip scaled/grouped mm related tests on unsupported gpus #5847

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18 changes: 5 additions & 13 deletions tests/python/direct/test_narrow_precision.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@
FLOAT4_E2M1_MAX,
FLOAT8_E4M3_MAX,
pytorch_nvfp4_quantize,
microarchitecture_is,
is_pre_blackwell,
microarchitecture_is_pre,
linear_to_swizzled_128_4,
Expand Down Expand Up @@ -241,10 +242,7 @@ def nvfuser_fusion_id0(fd: FusionDefinition):

# cannot use opinfo test, because the input tensor dtype and fusion definition dtype doesn't match
@pytest.mark.skipif(
is_pre_blackwell(), reason="Only supported on blackwell and newer devices."
)
@pytest.mark.skipif(
not microarchitecture_is_pre(12), reason="Does not support blackwell compute 12.0"
not microarchitecture_is(10, 0), reason="Only supported on blackwell compute 10.0."
)
@pytest.mark.parametrize("config", [[128, 256, 512], [128, 256, 512]])
@pytest.mark.parametrize("out_dtype", [torch.bfloat16])
Expand Down Expand Up @@ -324,7 +322,7 @@ def nvfuser_fusion_id0(fd: FusionDefinition) -> None:


@pytest.mark.skipif(
is_pre_blackwell(), reason="Only supported on blackwell and newer devices."
not microarchitecture_is(10, 0), reason="Only supported on blackwell compute 10.0."
)
@pytest.mark.parametrize("config", [[1024, 1024, 1024]])
@pytest.mark.parametrize("out_dtype", [torch.bfloat16])
Expand Down Expand Up @@ -454,10 +452,7 @@ def fusion_baseline(fd: FusionDefinition) -> None:


@pytest.mark.skipif(
is_pre_blackwell(), reason="Only supported on blackwell and newer devices."
)
@pytest.mark.skipif(
not microarchitecture_is_pre(12), reason="Does not support blackwell compute 12.0"
not microarchitecture_is(10, 0), reason="Only supported on blackwell compute 10.0."
)
@pytest.mark.parametrize("config", [[1024, 128, 256]])
@pytest.mark.parametrize("tokens_per_expert_neg_one", [[115, 144, 8]])
Expand Down Expand Up @@ -661,10 +656,7 @@ def nvfuser_fusion_id0(fd: FusionDefinition) -> None:
# 1. inputs data needs to be changed from `torch.testing.make_tensor` to `torch.randn`;
# 2. output errors are much more relaxed.
@pytest.mark.skipif(
is_pre_blackwell(), reason="Only supported on blackwell and newer devices."
)
@pytest.mark.skipif(
not microarchitecture_is_pre(12), reason="Does not support blackwell compute 12.0"
not microarchitecture_is(10, 0), reason="Only supported on blackwell compute 10.0."
)
@pytest.mark.parametrize("config", [[1024, 128, 256]])
@pytest.mark.parametrize("tokens_per_expert_neg_one", [[115, 144, 8]])
Expand Down