mirror of https://github.com/alibaba/EasyCV.git
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import subprocess
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import sys
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from collections import defaultdict
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import cv2
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import mmcv
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import torch
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import torchvision
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import easycv
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def collect_env():
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env_info = {}
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env_info['sys.platform'] = sys.platform
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env_info['Python'] = sys.version.replace('\n', '')
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cuda_available = torch.cuda.is_available()
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env_info['CUDA available'] = cuda_available
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if cuda_available:
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from torch.utils.cpp_extension import CUDA_HOME
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env_info['CUDA_HOME'] = CUDA_HOME
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if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
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try:
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nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
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nvcc = subprocess.check_output(
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'"{}" -V | tail -n1'.format(nvcc), shell=True)
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nvcc = nvcc.decode('utf-8').strip()
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except subprocess.SubprocessError:
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nvcc = 'Not Available'
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env_info['NVCC'] = nvcc
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devices = defaultdict(list)
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for k in range(torch.cuda.device_count()):
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devices[torch.cuda.get_device_name(k)].append(str(k))
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for name, devids in devices.items():
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env_info['GPU ' + ','.join(devids)] = name
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gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
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gcc = gcc.decode('utf-8').strip()
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env_info['GCC'] = gcc
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env_info['PyTorch'] = torch.__version__
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env_info['PyTorch compiling details'] = torch.__config__.show()
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try:
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env_info['TorchVision'] = torchvision.__version__
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except:
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env_info['TorchVision'] = None
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env_info['OpenCV'] = cv2.__version__
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env_info['MMCV'] = mmcv.__version__
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env_info['EasyCV'] = easycv.__version__
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return env_info
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if __name__ == '__main__':
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for name, val in collect_env().items():
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print('{}: {}'.format(name, val))
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