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0ba1f76d4d
* detect xpu in print_env Signed-off-by: YAO Matrix <matrix.yao@intel.com> * enhance code, test passed on XPU Signed-off-by: Yao Matrix <matrix.yao@intel.com> --------- Signed-off-by: YAO Matrix <matrix.yao@intel.com> Signed-off-by: Yao Matrix <matrix.yao@intel.com>
64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# coding=utf-8
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# Copyright 2025 The HuggingFace Inc. team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# this script dumps information about the environment
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import os
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import platform
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import sys
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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print("Python version:", sys.version)
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print("OS platform:", platform.platform())
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print("OS architecture:", platform.machine())
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try:
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import torch
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print("Torch version:", torch.__version__)
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print("Cuda available:", torch.cuda.is_available())
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if torch.cuda.is_available():
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print("Cuda version:", torch.version.cuda)
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print("CuDNN version:", torch.backends.cudnn.version())
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print("Number of GPUs available:", torch.cuda.device_count())
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device_properties = torch.cuda.get_device_properties(0)
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total_memory = device_properties.total_memory / (1024**3)
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print(f"CUDA memory: {total_memory} GB")
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print("XPU available:", hasattr(torch, "xpu") and torch.xpu.is_available())
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if hasattr(torch, "xpu") and torch.xpu.is_available():
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print("XPU model:", torch.xpu.get_device_properties(0).name)
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print("XPU compiler version:", torch.version.xpu)
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print("Number of XPUs available:", torch.xpu.device_count())
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device_properties = torch.xpu.get_device_properties(0)
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total_memory = device_properties.total_memory / (1024**3)
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print(f"XPU memory: {total_memory} GB")
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except ImportError:
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print("Torch version:", None)
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try:
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import transformers
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print("transformers version:", transformers.__version__)
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except ImportError:
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print("transformers version:", None)
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