Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-11-24 18:29:29 -10:00
parent 5f00d7419e
commit f12a2a513a
3 changed files with 7 additions and 5 deletions
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2
test.py
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@ -20,7 +20,7 @@ def test(cfg,
model=None): model=None):
# Initialize/load model and set device # Initialize/load model and set device
if model is None: if model is None:
device = torch_utils.select_device(opt.device) device = torch_utils.select_device(opt.device, batch_size=batch_size)
verbose = True verbose = True
# Initialize model # Initialize model

2
train.py
View File

@ -423,7 +423,7 @@ if __name__ == '__main__':
opt = parser.parse_args() opt = parser.parse_args()
opt.weights = last if opt.resume else opt.weights opt.weights = last if opt.resume else opt.weights
print(opt) print(opt)
device = torch_utils.select_device(opt.device, apex=mixed_precision) device = torch_utils.select_device(opt.device, apex=mixed_precision, batch_size=opt.batch_size)
if device.type == 'cpu': if device.type == 'cpu':
mixed_precision = False mixed_precision = False

8
utils/torch_utils.py
View File

@ -14,7 +14,7 @@ def init_seeds(seed=0):
torch.backends.cudnn.benchmark = False torch.backends.cudnn.benchmark = False
def select_device(device='', apex=False): def select_device(device='', apex=False, batch_size=None):
# device = 'cpu' or '0' or '0,1,2,3' # device = 'cpu' or '0' or '0,1,2,3'
cpu_request = device.lower() == 'cpu' cpu_request = device.lower() == 'cpu'
if device and not cpu_request: # if device requested other than 'cpu' if device and not cpu_request: # if device requested other than 'cpu'
@ -25,11 +25,13 @@ def select_device(device='', apex=False):
if cuda: if cuda:
c = 1024 ** 2 # bytes to MB c = 1024 ** 2 # bytes to MB
ng = torch.cuda.device_count() ng = torch.cuda.device_count()
if ng > 1 and batch_size: # check that batch_size is compatible with device_count
assert batch_size % ng == 0, 'batch-size %g not multiple of GPU count %g' % (batch_size, ng)
x = [torch.cuda.get_device_properties(i) for i in range(ng)] x = [torch.cuda.get_device_properties(i) for i in range(ng)]
cuda_str = 'Using CUDA ' + ('Apex ' if apex else '') # apex for mixed precision https://github.com/NVIDIA/apex s = 'Using CUDA ' + ('Apex ' if apex else '') # apex for mixed precision https://github.com/NVIDIA/apex
for i in range(0, ng): for i in range(0, ng):
if i == 1: if i == 1:
cuda_str = ' ' * len(cuda_str) s = ' ' * len(s)
print("%sdevice%g _CudaDeviceProperties(name='%s', total_memory=%dMB)" % print("%sdevice%g _CudaDeviceProperties(name='%s', total_memory=%dMB)" %
(cuda_str, i, x[i].name, x[i].total_memory / c)) (cuda_str, i, x[i].name, x[i].total_memory / c))
else: else: