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- # Copyright 2022 The HuggingFace Team. All rights reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import torch
- from accelerate.utils import is_xpu_available
- def main():
- accelerator_type = "GPU"
- num_accelerators = 0
- if torch.cuda.is_available():
- num_accelerators = torch.cuda.device_count()
- accelerator_type = "GPU"
- elif is_xpu_available():
- num_accelerators = torch.xpu.device_count()
- accelerator_type = "XPU"
- print(f"Successfully ran on {num_accelerators} {accelerator_type}s")
- if __name__ == "__main__":
- main()
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