def collect_env():
"""Collect the information of the running environments."""
env_info = {}
env_info['sys.platform'] = sys.platform
env_info['Python'] = sys.version.replace('\n', '')
cuda_available = torch.cuda.is_available()
env_info['CUDA available'] = cuda_available
if cuda_available:
from torch.utils.cpp_extension import CUDA_HOME
env_info['CUDA_HOME'] = CUDA_HOME
if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
try:
nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
nvcc = subprocess.check_output(
f'"{nvcc}" -V | tail -n1', shell=True)
nvcc = nvcc.decode('utf-8').strip()
except subprocess.SubprocessError:
nvcc = 'Not Available'
env_info['NVCC'] = nvcc
devices = defaultdict(list)
for k in range(torch.cuda.device_count()):
devices[torch.cuda.get_device_name(k)].append(str(k))
for name, devids in devices.items():
env_info['GPU ' + ','.join(devids)] = name
# Only get gcc version on linux, windows don't use gcc.
if platform.system() == 'Linux':
gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
gcc = gcc.decode('utf-8').strip()
env_info['GCC'] = gcc
env_info['PyTorch'] = torch.__version__
env_info['PyTorch compiling details'] = torch.__config__.show()
env_info['TorchVision'] = torchvision.__version__
env_info['OpenCV'] = cv2.__version__
env_info['MMCV'] = mmcv.__version__
env_info['MMDetection'] = mmdet.__version__
from mmdet.ops import get_compiler_version, get_compiling_cuda_version
env_info['MMDetection Compiler'] = get_compiler_version()
env_info['MMDetection CUDA Compiler'] = get_compiling_cuda_version()
return env_info
def collect_env():
env_info = {}
env_info["sys.platform"] = sys.platform
env_info["Python"] = sys.version.replace("\n", "")
cuda_available = torch.cuda.is_available()
env_info["CUDA available"] = cuda_available
if cuda_available:
from torch.utils.cpp_extension import CUDA_HOME
env_info["CUDA_HOME"] = CUDA_HOME
if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
try:
nvcc = osp.join(CUDA_HOME, "bin/nvcc")
nvcc = subprocess.check_output(
'"{}" -V | tail -n1'.format(nvcc), shell=True)
nvcc = nvcc.decode("utf-8").strip()
except subprocess.SubprocessError:
nvcc = "Not Available"
env_info["NVCC"] = nvcc
devices = defaultdict(list)
for k in range(torch.cuda.device_count()):
devices[torch.cuda.get_device_name(k)].append(str(k))
for name, devids in devices.items():
env_info["GPU " + ",".join(devids)] = name
gcc = subprocess.check_output("gcc --version | head -n1", shell=True)
gcc = gcc.decode("utf-8").strip()
env_info["GCC"] = gcc
env_info["PyTorch"] = torch.__version__
env_info["PyTorch compiling details"] = torch.__config__.show()
env_info["TorchVision"] = torchvision.__version__
env_info["OpenCV"] = cv2.__version__
env_info["MMCV"] = mmcv.__version__
env_info["MMDetection"] = mmdet.__version__
from mmdet.ops import get_compiler_version, get_compiling_cuda_version
env_info["MMDetection Compiler"] = get_compiler_version()
env_info["MMDetection CUDA Compiler"] = get_compiling_cuda_version()
return env_info
def collect_env():
env_info = {}
env_info['sys.platform'] = sys.platform
env_info['Python'] = sys.version.replace('\n', '')
cuda_available = torch.cuda.is_available()
env_info['CUDA available'] = cuda_available
if cuda_available:
from torch.utils.cpp_extension import CUDA_HOME
env_info['CUDA_HOME'] = CUDA_HOME
if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
try:
nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
nvcc = subprocess.check_output(
'"{}" -V | tail -n1'.format(nvcc), shell=True)
nvcc = nvcc.decode('utf-8').strip()
except subprocess.SubprocessError:
nvcc = 'Not Available'
env_info['NVCC'] = nvcc
devices = defaultdict(list)
for k in range(torch.cuda.device_count()):
devices[torch.cuda.get_device_name(k)].append(str(k))
for name, devids in devices.items():
env_info['GPU ' + ','.join(devids)] = name
gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
gcc = gcc.decode('utf-8').strip()
env_info['GCC'] = gcc
env_info['PyTorch'] = torch.__version__
env_info['PyTorch compiling details'] = torch.__config__.show()
env_info['TorchVision'] = torchvision.__version__
env_info['OpenCV'] = cv2.__version__
env_info['MMCV'] = mmcv.__version__
env_info['MMDetection'] = mmdet.__version__
env_info['MMDetection Compiler'] = get_compiler_version()
env_info['MMDetection CUDA Compiler'] = get_compiling_cuda_version()
for name, val in env_info.items():
print('{}: {}'.format(name, val))
def collect_env():
env_info = {}
env_info['sys.platform'] = sys.platform
env_info['Python'] = sys.version.replace('\n', '')
cuda_available = torch.cuda.is_available()
env_info['CUDA available'] = cuda_available
if cuda_available:
from torch.utils.cpp_extension import CUDA_HOME
env_info['CUDA_HOME'] = CUDA_HOME
if CUDA_HOME is not None and osp.isdir(CUDA_HOME):
try:
nvcc = osp.join(CUDA_HOME, 'bin/nvcc')
nvcc = subprocess.check_output(f'"{nvcc}" -V | tail -n1',
shell=True)
nvcc = nvcc.decode('utf-8').strip()
except subprocess.SubprocessError:
nvcc = 'Not Available'
env_info['NVCC'] = nvcc
devices = defaultdict(list)
for k in range(torch.cuda.device_count()):
devices[torch.cuda.get_device_name(k)].append(str(k))
for name, devids in devices.items():
env_info['GPU ' + ','.join(devids)] = name
gcc = subprocess.check_output('gcc --version | head -n1', shell=True)
gcc = gcc.decode('utf-8').strip()
env_info['GCC'] = gcc
env_info['PyTorch'] = torch.__version__
env_info['PyTorch compiling details'] = torch.__config__.show()
env_info['TorchVision'] = torchvision.__version__
env_info['OpenCV'] = cv2.__version__
env_info['MMCV'] = mmcv.__version__
env_info['MMDetection'] = mmdet.__version__
from mmdet.ops import get_compiler_version, get_compiling_cuda_version
env_info['MMDetection Compiler'] = get_compiler_version()
env_info['MMDetection CUDA Compiler'] = get_compiling_cuda_version()
from mmdet.integration.nncf.utils import get_nncf_version
env_info['NNCF'] = get_nncf_version()
env_info['ONNX'] = None
with suppress(ImportError):
import onnx
env_info['ONNX'] = onnx.__version__
env_info['ONNXRuntime'] = None
with suppress(ImportError):
import onnxruntime
env_info['ONNXRuntime'] = onnxruntime.__version__
env_info['OpenVINO MO'] = None
with suppress(ImportError):
from mo.utils.version import get_version
env_info['OpenVINO MO'] = get_version()
env_info['OpenVINO IE'] = None
with suppress(ImportError):
import openvino.inference_engine as ie
env_info['OpenVINO IE'] = ie.__version__
return env_info