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[PyTorch] Skip test_nvfp4_partial_cast_matches_full test when NVFP4 is not available. #2735

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[PyTorch] Skip test_nvfp4_partial_cast_matches_full test when NVFP4 is not available. #2735

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9 changes: 5 additions & 4 deletions tests/pytorch/distributed/test_cast_master_weights_to_fp8.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1101,10 +1101,6 @@ def _test_nvfp4_partial_cast_matches_full(dp_group) -> None:
WORLD_RANK = dist.get_rank(dp_group)
WORLD_SIZE = dist.get_world_size(dp_group)

available, reason = is_nvfp4_available(return_reason=True)
if not available:
pytest.skip(reason)

torch.manual_seed(1234)
device = torch.device("cuda")
# Shape must be divisible by WORLD_SIZE for even splitting
Expand Down Expand Up @@ -1196,6 +1192,11 @@ def _test_nvfp4_partial_cast_matches_full(dp_group) -> None:
@pytest.mark.parametrize("world_size", [2])
def test_nvfp4_partial_cast_matches_full(world_size: int) -> None:
"""Launch a distributed job for NVFP4 partial-cast equivalence test."""

available, reason = is_nvfp4_available(return_reason=True)
if not available:
pytest.skip(reason)

python_exe = pathlib.Path(sys.executable).resolve()
current_file = pathlib.Path(__file__).resolve()
command = [
Expand Down
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