7dc0472aef
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.
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import os
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import subprocess
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import sys
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import tvm
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import tvm.testing
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def test_check_if_device_exists():
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"""kExist can be checked when no devices are present
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This test uses `CUDA_VISIBLE_DEVICES` to disable any CUDA-capable
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GPUs from being accessed by the subprocess. Within the
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subprocess, the CUDA driver cannot be initialized. While most
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functionality of CUDADeviceAPI would raise an exception, the
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`kExist` property can still be checked.
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"""
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cmd = [
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sys.executable,
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"-c",
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"import tvm; tvm.device('cuda').exist",
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]
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subprocess.check_call(
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cmd,
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env={
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**os.environ,
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"CUDA_VISIBLE_DEVICES": "",
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},
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)
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if __name__ == "__main__":
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tvm.testing.main()
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