蓝灯123

摘要： from __future__ import print_function import torch import torch.nn as nn import torchvision.datasets as dsets import torchvision.transforms as transfo 阅读全文

摘要： import torchimport torch.nn as nnimport torchvision.datasets as dsetsimport torchvision.transforms as transformsfrom torch.autograd import Variablefro 阅读全文

摘要： import torch import torch.nn as nn import torchvision.datasets as dsets import torchvision.transforms as transforms from torch.autograd import Variabl 阅读全文

摘要： 多自变量的函数，求梯度 x = torch.randn(3, requires_grad=True) # x 中存了三个变量 x1,x2,x3 y = x + 2 z = y * y * 3 z = z.mean() # 求导 z.backward() print(x.grad) # dz/dx # 阅读全文

摘要： 下面我们来看一个简单的例子, 定义x, y, z三个变量, 其中x是需要计算梯度的. x = torch.tensor([1.0], requires_grad=True) y = torch.tensor([2.0]) z = torch.tensor([2.0]) # 定义运算 f1 = 2*x 阅读全文

摘要： import torch x=torch.tensor(3.0, requires_grad=True) z=torch.tensor(4.0, requires_grad=True) y=x**2+z**3 y.backward() print('dy/dx = 2x:', x.grad) pri 阅读全文

摘要： 1 import torch 2 from torch.autograd import Variable 3 import numpy as np 4 x = np.array([[1,2,3],[2,3,4]]) 5 xt = torch.from_numpy(x) 6 print(xt) 阅读全文

摘要： matlab图的坐标名称、字体、字号 1 ylim([0.5,2]); 2 xlabel('J');ylabel('U'); 3 set(get(gca,'XLabel'),'FontSize',16,'Fontname', 'Courier New','FontWeight','bold','Fo 阅读全文