我有变量xy
,它从文件加载数据,并用于创建x_data
类型的y_data
和torch.autograd.Variable
变量。我想x_data
和y_data
的内容是数组。但是如何枚举该数组以打印内容?
d = r"C:\gdrive\python\diabetes.csv"
import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
xy = np.loadtxt(d,delimiter=',',dtype=np.float32 )
print("***")
print(xy)
x_data = Variable(torch.from_numpy(xy[:,0:-1]))
y_data= Variable(torch.from_numpy(xy[:,[-1]]))
您可以像对numpy数组和标准Python对象一样,枚举/迭代Pytorch张量。
您应该能够像python列表一样迭代pytorch张量:
import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
d = r"C:\gdrive\python\diabetes.csv"
xy = np.loadtxt(d, delimiter=',', dtype=np.float32)
print("***")
x_data = Variable(torch.from_numpy(xy[:,0:-1]))
y_data= Variable(torch.from_numpy(xy[:,[-1]]))
print(x_data.shape)
print(y_data.shape)
for i, (x, y) in enumerate(zip(x_data, y_data)):
print("example", i)
print("featurers:", x)
print("label:", y)
print()