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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-08 15:41:14 +02:00
parent 1d49e66580
commit 3825e99ee3
2 changed files with 16 additions and 14 deletions
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28
utils/torch_utils.py
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@ -8,19 +8,21 @@ def init_seeds(seed=0):
def select_device(force_cpu=False):
if force_cpu:
cuda = False
device = torch.device('cpu')
else:
cuda = torch.cuda.is_available()
device = torch.device('cuda:0' if cuda else 'cpu')
cuda = False if force_cpu else torch.cuda.is_available()
device = torch.device('cuda:0' if cuda else 'cpu')
if torch.cuda.device_count() > 1:
device = torch.device('cuda' if cuda else 'cpu')
print('Found %g GPUs' % torch.cuda.device_count())
# print('Multi-GPU Issue: https://github.com/ultralytics/yolov3/issues/21')
# torch.cuda.set_device(0) # OPTIONAL: Set your GPU if multiple available
# print('Using ', torch.cuda.device_count(), ' GPUs')
if not cuda:
print('Using CPU')
if cuda:
c = 1024 ** 2 # bytes to MB
ng = torch.cuda.device_count()
x = [torch.cuda.get_device_properties(i) for i in range(ng)]
print("Using CUDA device0 _CudaDeviceProperties(name='%s', total_memory=%dMB)" %
(x[0].name, x[0].total_memory / c))
if ng > 0:
# torch.cuda.set_device(0) # OPTIONAL: Set GPU ID
for i in range(1, ng):
print(" device%g _CudaDeviceProperties(name='%s', total_memory=%dMB)" %
(i, x[i].name, x[i].total_memory / c))
print('Using %s %s\n' % (device.type, torch.cuda.get_device_properties(0) if cuda else ''))
return device

2
utils/utils.py
View File

@ -11,7 +11,7 @@ import torch.nn as nn
from utils import torch_utils
matplotlib.rc('font', **{'family': 'normal', 'size': 11})
matplotlib.rc('font', **{'family': 'normal', 'size': 12})
# Set printoptions
torch.set_printoptions(linewidth=1320, precision=5, profile='long')