Pytorch学习（八）---- 批数据训练-优快云博客

这是莫烦Python视频学习笔记，给出了视频链接。记录了代码运行报错‘init() got an unexpected keyword argument ‘data_tensor’’，并提供参考链接，同时提醒要注意代码的缩进问题。

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莫烦python视频学习笔记视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&seid=3065687802317837578

import torch
import torch.utils.data as Data

BATCH_SIZE = 5
if __name__ == '__main__':
    x = torch.linspace(1, 10, 10)
    y = torch.linspace(10, 1, 10)
# 将数据放入数据库，用x来训练，用y来计算误差
# 先转换成 torch 能识别的 Dataset
    torch_dataset = Data.TensorDataset(x, y)

    loader = Data.DataLoader(          # 将数据分批
        dataset=torch_dataset,
        batch_size=BATCH_SIZE,
        shuffle=True,  # Do you want to break this order?
        num_workers=2,
    )

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

输出：

Epoch 0 |Step 0 |batch x [ 1.  3.  7.  6. 10.] |batch y: [10.  8.  4.  5.  1.]
Epoch 0 |Step 1 |batch x [5. 8. 9. 4. 2.] |batch y: [6. 3. 2. 7. 9.]
Epoch 1 |Step 0 |batch x [ 2. 10.  3.  7.  8.] |batch y: [9. 1. 8. 4. 3.]
Epoch 1 |Step 1 |batch x [9. 5. 1. 6. 4.] |batch y: [ 2.  6. 10.  5.  7.]
Epoch 2 |Step 0 |batch x [ 4.  1.  5. 10.  6.] |batch y: [ 7. 10.  6.  1.  5.]
Epoch 2 |Step 1 |batch x [2. 8. 7. 3. 9.] |batch y: [9. 3. 4. 8. 2.]

代码在运行中报错：init() got an unexpected keyword argument ‘data_tensor’
此处参考 (https://blog.youkuaiyun.com/thunderf/article/details/94733747)
其次还要注意代码的缩进问题。