小行星

import torch
# after import torch, add this
torch.backends.cudnn.benchmark=True

torch.save(the_model.state_dict(), PATH)
the_model = TheModelClass(*args, **kwargs)
the_model.load_state_dict(torch.load(PATH))

torch.save(the_model, PATH)
the_model = torch.load(PATH)

# for gpu
t.data.cpu().numpy()
# for cpu
t.data.numpy()

a = a.type('torch.DoubleTensor') # for converting to double tensor (cpu)
a.double()

import torch
print(torch.__version__)

>>>"{} {}".format("hello", "world")    # 不设置指定位置，按默认顺序
'hello world'
 
>>> "{0} {1}".format("hello", "world")  # 设置指定位置
'hello world'
 
>>> "{1} {0} {1}".format("hello", "world")  # 设置指定位置
'world hello world'

img0 = img0.astype(np.uint8)
img0.tostring()

self.opt = self.parser.parse_args("-demo "
                                  "./images/h36m_1214.png -loadModel "
                                  "./models/hgreg-3d.pth".split())

import sys

print(sys.executable)

pip install IPython==5.0 --user
pip install jupyter --user