莫烦python-pytorch-3.5批数据训练

import torchimport torch.utils.data as DataBATCH_SIZE = 10x = torch.linspace(1, 10, 10)y = torch.linspace(10, 1, 10)torch_dataset = Data.TensorDataset(x, y)loader = Data.DataLoader(...

刷子c

269人浏览 · 2019-10-07 20:03:41

刷子c · 2019-10-07 20:03:41 发布

import torch
import torch.utils.data as Data

BATCH_SIZE = 10

x = torch.linspace(1, 10, 10)
y = torch.linspace(10, 1, 10)

torch_dataset = Data.TensorDataset(x, y)
loader = Data.DataLoader(                       # 使数据变为一批一批的
    dataset=torch_dataset,
    batch_size=BATCH_SIZE,
    shuffle=True,
    # num_workers=2, # 多线程
)

for epoch in range(3):
    for step, (batch_x, batch_y) in enumerate(loader):
        print('Epoch ', epoch, '| Step: ', step, '| batch x: ',
              batch_x.numpy(), '| batch y: ', batch_y.numpy())