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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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