Files
apache--tvm/tests/python/runtime/test_runtime_device_api.py
Eric Lunderberg 7dc0472aef [Bugfix] CudaDeviceAPI::GetAttr may check kExist when GPUs absent (#16903)
This commit resolves a bug that was introduced in
https://github.com/apache/tvm/pull/16377.  If no CUDA-capable GPUs are
present, the call to `cudaGetDeviceCount` will return an error, which will
be raised as an exception by the `CUDA_CALL` macro.  However, checking
the `kExist` flag is valid even if no GPUs are present.

This commit removes the use of `CUDA_CALL`, and instead returns false
in this case.
2024-04-18 11:50:01 -04:00

53 lines
1.5 KiB
Python

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import os
import subprocess
import sys
import tvm
import tvm.testing
def test_check_if_device_exists():
"""kExist can be checked when no devices are present
This test uses `CUDA_VISIBLE_DEVICES` to disable any CUDA-capable
GPUs from being accessed by the subprocess. Within the
subprocess, the CUDA driver cannot be initialized. While most
functionality of CUDADeviceAPI would raise an exception, the
`kExist` property can still be checked.
"""
cmd = [
sys.executable,
"-c",
"import tvm; tvm.device('cuda').exist",
]
subprocess.check_call(
cmd,
env={
**os.environ,
"CUDA_VISIBLE_DEVICES": "",
},
)
if __name__ == "__main__":
tvm.testing.main()