[Misc] Use pytest.mark.skipif in sgl-kernel test (#5137)

sgl-kernel/tests/test_fp4_gemm.py

@@ -2,11 +2,7 @@ import pytest
 import torch
 from sgl_kernel import cutlass_scaled_fp4_mm, scaled_fp4_quant
 
-if torch.cuda.get_device_capability() < (10, 0):
-    pytest.skip(
-        reason="Nvfp4 Requires compute capability of 10 or above.",
-        allow_module_level=True,
-    )
+skip_condition = torch.cuda.get_device_capability() < (10, 0)
 
 DTYPES = [torch.float16, torch.bfloat16]
 # m, n, k
@@ -108,6 +104,9 @@ def get_ref_results(
     return torch.matmul(a_in_dtype, b_in_dtype.t())
 
 
+@pytest.mark.skipif(
+    skip_condition, reason="Nvfp4 Requires compute capability of 10 or above."
+)
 @pytest.mark.parametrize("dtype", DTYPES)
 @pytest.mark.parametrize("shape", SHAPES)
 @torch.inference_mode()
@@ -149,3 +148,7 @@ def test_nvfp4_gemm(
     )
 
     torch.testing.assert_close(out, expected_out.to(dtype=dtype), atol=1e-1, rtol=1e-1)
+
+
+if __name__ == "__main__":
+    pytest.main([__file__])