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Python

# SPDX-License-Identifier: Apache-2.0
"""Helpers for tests that depend on the CI runner backend or GPU architecture.
The Spark runner (NVIDIA DGX Spark, GB10, sm_121) exports
``FASTVIDEO_CI_BACKEND=spark4``. Cluster (GB200) runs leave it unset.
"""
import os
import pytest
import torch
CI_BACKEND_ENV = "FASTVIDEO_CI_BACKEND"
SPARK_BACKEND = "spark4"
CUTE_BLOCK_SPARSE_SM12X_REASON = ("FA4 CuTe block-sparse VSA kernels target sm100/sm103; they do not support "
"sm_12x (RTX Blackwell / DGX Spark GB10)")
def on_spark_backend() -> bool:
return os.environ.get(CI_BACKEND_ENV) == SPARK_BACKEND
def is_sm12x() -> bool:
return torch.cuda.is_available() and torch.cuda.get_device_capability()[0] == 12
def skip_cute_block_sparse_on_sm12x() -> None:
"""Skip the calling test on sm_12x, where CuTe block sparsity is unsupported."""
if is_sm12x():
pytest.skip(CUTE_BLOCK_SPARSE_SM12X_REASON)