<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[csdn_wmk的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/csdn_wmk</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; csdn_wmk]]></copyright><item><title><![CDATA[获取tensor大小]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/122000360</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/122000360</guid><author>csdn_wmk</author><pubDate>Fri, 17 Dec 2021 17:03:52 +0800</pubDate><description><![CDATA[记录：tensorflow中获取tensor大小
yourTensor.get_shape().as_list() 直接输出即可。

参考https://www.cnblogs.com/huangshiyu13/p/7531085.html


]]></description><category></category></item><item><title><![CDATA[pdb命令]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/121321994</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/121321994</guid><author>csdn_wmk</author><pubDate>Sun, 14 Nov 2021 19:44:21 +0800</pubDate><description><![CDATA[1、pdb常用命令
break / b                设置断点
continue / c            继续执行程序
list / l                      查看当前代码段
step / s  				  进入函数
return / r                 执行代码直到从当前函数返回
exit / q                    中止并退出
next / n                   执行下一行
pp                ]]></description><category></category></item><item><title><![CDATA[Can‘t pickle local object ‘data.numerize.＜locals＞.＜lambda＞‘]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/121022906</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/121022906</guid><author>csdn_wmk</author><pubDate>Thu, 28 Oct 2021 20:56:11 +0800</pubDate><description><![CDATA[困扰了好久，记录一下。
报错原因是由于pickle dump 不能dump 带lambda的对象
例如代码：
def numerize(self, data, user2id, item2id):
        user_id = map(lambda x: user2id[x], data['user_id'])
        item_id = map(lambda x: item2id[x], data['item_id'])

 pickle.dump(user_reviews, open(os]]></description><category></category></item><item><title><![CDATA[torch_scatter安装]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/116300007</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/116300007</guid><author>csdn_wmk</author><pubDate>Fri, 30 Apr 2021 12:07:50 +0800</pubDate><description><![CDATA[记一下torch_scatter的安装：
直接pip总会报错，查询发现需要手动下载包，下载链接：
https://pytorch-geometric.com/whl/torch-1.5.0.html
在这里面找到和python对应的版本，python3.6下的是
torch_scatter-2.0.4+cu102-cp36-cp36m-win_amd64.whl
然后再pip，但是一定要注意，要把下载的文件放在自己的安装路径之下，否则会报错
Requirement ‘torch_scatter-2.0.4+]]></description><category></category></item><item><title><![CDATA[Pytorch学习（十）---- 卷积神经网络 CNN]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/112342180</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/112342180</guid><author>csdn_wmk</author><pubDate>Thu, 07 Jan 2021 23:37:12 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记 视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;seid=3065687802317837578

代码实现：
import os

# third-party library
import torch
import torch.nn as nn
import torch.utils.data as Data
import torchvision
import matplotlib.pyplot .]]></description><category></category></item><item><title><![CDATA[Pytorch学习（九）---- 优化器]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/111831541</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/111831541</guid><author>csdn_wmk</author><pubDate>Mon, 28 Dec 2020 11:06:19 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记 视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;seid=3065687802317837578

优化器学习
代码：
import torch
import torch.utils.data as Data
import torch.nn.functional as F
import matplotlib.pyplot as plt
import os
os.environ["KMP_DUPLI.]]></description><category></category></item><item><title><![CDATA[Pytorch学习（八）---- 批数据训练]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/111700345</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/111700345</guid><author>csdn_wmk</author><pubDate>Fri, 25 Dec 2020 19:38:28 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记 视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;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.]]></description><category></category></item><item><title><![CDATA[Pytorch学习（七）---- 保存提取]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/111404467</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/111404467</guid><author>csdn_wmk</author><pubDate>Sat, 19 Dec 2020 14:39:09 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记 视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;seid=3065687802317837578

import torch
from torch.autograd import Variable
import matplotlib.pyplot as plt
import os
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
# import os 这里是.]]></description><category></category></item><item><title><![CDATA[Pytorch学习（六）---- 神经网络快速搭建]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/111354189</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/111354189</guid><author>csdn_wmk</author><pubDate>Fri, 18 Dec 2020 10:37:25 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记  视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;seid=3065687802317837578

import torch
import torch.nn.functional as F
from torch.autograd import Variable
import matplotlib.pyplot as plt
import os
os.environ["KMP_DUPLICATE_.]]></description><category></category></item><item><title><![CDATA[Pytorch学习（五）---- Classification 分类]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/111322707</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/111322707</guid><author>csdn_wmk</author><pubDate>Thu, 17 Dec 2020 20:08:42 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记 视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;seid=3065687802317837578

import torch
import torch.nn.functional as F
from torch.autograd import Variable
import matplotlib.pyplot as plt
import os
os.environ["KMP_DUPLICATE_L.]]></description><category></category></item><item><title><![CDATA[Pytorch学习（四）---- Regression 回归]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/111303867</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/111303867</guid><author>csdn_wmk</author><pubDate>Wed, 16 Dec 2020 21:58:42 +0800</pubDate><description><![CDATA[莫烦python视频学习笔记 视频链接https://www.bilibili.com/video/BV1Vx411j7kT?from=search&amp;seid=3065687802317837578

学习搭建一个简单的神经网络
import torch
from torch.autograd import Variable
import torch.nn.functional as F
import matplotlib.pyplot as plt
import os
os.environ["K.]]></description><category></category></item><item><title><![CDATA[Pytorch学习（三）----Activation function]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/110818438</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/110818438</guid><author>csdn_wmk</author><pubDate>Wed, 16 Dec 2020 16:19:48 +0800</pubDate><description><![CDATA[激励函数—Activation function

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


]]></description><category></category></item><item><title><![CDATA[Pytorch学习（二）]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/110817921</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/110817921</guid><author>csdn_wmk</author><pubDate>Thu, 10 Dec 2020 14:04:43 +0800</pubDate><description><![CDATA[Variable变量学习

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

variable与tensor的不同
import torch
from torch.autograd import Variable

tensor = torch.FloatTensor([[1, 2], [3, 4]])
variable = Variable(te]]></description><category></category></item><item><title><![CDATA[Pytorch学习（一）]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/110798256</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/110798256</guid><author>csdn_wmk</author><pubDate>Thu, 10 Dec 2020 14:03:27 +0800</pubDate><description><![CDATA[1、Numpy与Pytorch的数据转换
import torch
import numpy as np

np_data = np.arange(6).reshape((2,3))
torch_data = torch.from_numpy(np_data)      # numpy数据转换为torch数据
tensor2array = torch_data.numpy()           # 再转换成numpy数据
print('\nnumpy:', np_data)
print('\ntorch:]]></description><category></category></item><item><title><![CDATA[Pytorch的安装问题解决]]></title><link>https://blog.youkuaiyun.com/csdn_wmk/article/details/110678416</link><guid>https://blog.youkuaiyun.com/csdn_wmk/article/details/110678416</guid><author>csdn_wmk</author><pubDate>Sat, 05 Dec 2020 11:13:19 +0800</pubDate><description><![CDATA[安装总是出现Unable to create process …的问题
解决：直接卸载python编译器，重新下载一个
安装命令：pip install torch=1.4.0 torchvision=0.5.0 -f https://download.pytorch.org/whl/torch_stable.html


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