<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Aser_Chen的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Ffilter</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Ffilter]]></copyright><item><title><![CDATA[tf.map_fn报错记录]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/103389085</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/103389085</guid><author>Ffilter</author><pubDate>Wed, 04 Dec 2019 16:23:53 +0800</pubDate><description><![CDATA[tf.map_fn报错
ValueError: The two structures don't have the same nested structure

错误代码处如下：
#函数,需要两种tensor的输入,输出一个tensor
def fun(elems):
	input_0,input_1= elems
	.....
	return result
#调用
result= tf.map_...]]></description><category></category></item><item><title><![CDATA[关于逆元的问题]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/94589549</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/94589549</guid><author>Ffilter</author><pubDate>Wed, 03 Jul 2019 20:35:15 +0800</pubDate><description><![CDATA[求逆元
证明 a/b%n=(a*c)%n,其中(b*c)%m=1
由于 (b*c)%m = 1，则 b*c = k*n+1，其中k = b*c/n
且a整除b
a/b%n = (a/b*1)%n = (a/b*(b*c-k*n))%n = (a*c-a/b*k*n)%n = (a*c)%n

]]></description><category></category></item><item><title><![CDATA[小米oj 9 移除 K 位得到最小值]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/89241671</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/89241671</guid><author>Ffilter</author><pubDate>Fri, 12 Apr 2019 15:31:10 +0800</pubDate><description><![CDATA[题目：https://code.mi.com/problem/list/view?id=9
AC代码（python3）如下：
import sys

for line in sys.stdin:
    line = line.strip()
    num,K = line.split(' ')
    K = int(K)

    for i in range(K):
        for...]]></description><category></category></item><item><title><![CDATA[tfrecord数据集读取问题，tf.image.decode_image解码前后出现数值不一样]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/88698936</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/88698936</guid><author>Ffilter</author><pubDate>Wed, 20 Mar 2019 20:34:24 +0800</pubDate><description><![CDATA[问题描述：
自己制作的图像分割label.png，二进制编码打开png图像源文件后，标签全部变为0
原因：
制作标签时，注意图像的存储模式，是RGB还是灰度模式（L）
from PIL import Image
import tensorflow as tf
import numpy as np
#img_path='F:\\VOC2012\\SegmentationClassAug\\2007_...]]></description><category></category></item><item><title><![CDATA[tf.train.init_from_checkpoint()]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/87947885</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/87947885</guid><author>Ffilter</author><pubDate>Tue, 26 Feb 2019 20:32:29 +0800</pubDate><description><![CDATA[tf.train.init_from_checkpoint(
ckpt_dir_or_file,
assignment_map
)
ckpt_dir_or_file：.ckpt模型的路径
assignment_map：字典类型，key为要恢复的变量名
之前tf版本生成的模型为model.ckpt，新一点的版本会生成几个文件，如下：
model.ckpt-37047.data-00000-of-00...]]></description><category></category></item><item><title><![CDATA[tf.dynamic_partition函数]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/86513242</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/86513242</guid><author>Ffilter</author><pubDate>Wed, 16 Jan 2019 19:22:52 +0800</pubDate><description><![CDATA[将原矩阵按照索引矩阵的方式分割
alist=[[[[1,1,1],[2,2,2],[3,3,3]],[[4,4,4],[5,5,5],[6,6,6]]],[[[7,7,7],[8,8,8],[9,9,9]],[[10,10,10],[11,11,11],[12,12,12]]]]
aal=tf.reshape(alist, [-1, ])
t=tf.to_int32(aal &amp;lt;= 5)
va...]]></description><category></category></item><item><title><![CDATA[tensorflow循环改变tensor的值]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/86419455</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/86419455</guid><author>Ffilter</author><pubDate>Sun, 13 Jan 2019 14:58:12 +0800</pubDate><description><![CDATA[使用tf.concat()实现4维tensor的循环赋值
alist=[[[[1,1,1],[2,2,2],[3,3,3]],[[4,4,4],[5,5,5],[6,6,6]]],[[[7,7,7],[8,8,8],[9,9,9]],[[10,10,10],[11,11,11],[12,12,12]]]] #2,2,3,3-n,c,h,w
kenel=(np.asarray(alist)*2).t...]]></description><category></category></item><item><title><![CDATA[tf.nn.conv2d()函数详解]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/86415997</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/86415997</guid><author>Ffilter</author><pubDate>Sun, 13 Jan 2019 13:36:55 +0800</pubDate><description><![CDATA[二维卷积：
inputs：[n, h, w, c]的tensor
filter：[h, w, c, out_size]的tensor
alist=[[[[1,1,1],[2,2,2],[3,3,3]],[[4,4,4],[5,5,5],[6,6,6]]],[[[7,7,7],[8,8,8],[9,9,9]],[[10,10,10],[11,11,11],[12,12,12]]]] #2,2,3,3...]]></description><category></category></item><item><title><![CDATA[tensorflow运算函数笔记]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/84836184</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/84836184</guid><author>Ffilter</author><pubDate>Wed, 05 Dec 2018 14:53:16 +0800</pubDate><description><![CDATA[import tensorflow as tf

alist = [[1, 2, 3, 4, 5, 6 ,7, 8],
         [7, 6 ,5 ,4 ,3 ,2, 1, 8],
         [3, 3, 3, 3, 3, 3, 3, 3],
         [1, 1, 1, 1, 1, 1, 1, 1],
         [2, 2, 2, 2, 2, 2, 2, 2]]
...]]></description><category></category></item><item><title><![CDATA[CondaHTTPError: HTTP 404 NOT FOUND for url]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/84824446</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/84824446</guid><author>Ffilter</author><pubDate>Wed, 05 Dec 2018 11:09:15 +0800</pubDate><description><![CDATA[原因：
1.可能使网络问题，打不开url
2.更改conda源为国内镜像源。
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/


]]></description><category></category></item><item><title><![CDATA[关于排版问题]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/82560493</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/82560493</guid><author>Ffilter</author><pubDate>Sun, 09 Sep 2018 18:41:57 +0800</pubDate><description><![CDATA[问题描述：标题将表格挤到下一页，出现标题独占一页的情况

解决：选中标题或表格前的文字，右键 段落——换行和分页——勾选与下段同页，如图



 ...]]></description><category></category></item><item><title><![CDATA[ptyhon图像操作笔记]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/80584494</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/80584494</guid><author>Ffilter</author><pubDate>Tue, 05 Jun 2018 17:28:54 +0800</pubDate><description><![CDATA[python3图像复制，使用img_copy=img.copy()，而不是直接img_copy=img]]></description><category></category></item><item><title><![CDATA[OpenGP-master无法在win10+VS2013下生成OpenGP.lib]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/80113796</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/80113796</guid><author>Ffilter</author><pubDate>Fri, 27 Apr 2018 22:00:28 +0800</pubDate><description><![CDATA[问题描述：win10下，OpenGP-master用cmake生成工程（注意把 headeronly 选项，取消勾选）之后，用VS2013打开，（1）提示已经包含OpenGP项目，（2）项目生成成功，但没有生成OpenGP.lib

解决：

    step 1，在CMakeList.txt的末尾添加：


add_library(OpenGP1 STATIC ${SOURCES} ${HEAD...]]></description><category></category></item><item><title><![CDATA[error while loading shared libraries: libcudnn.so.*]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/79744345</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/79744345</guid><author>Ffilter</author><pubDate>Thu, 29 Mar 2018 16:09:13 +0800</pubDate><description><![CDATA[完整问题描述：error while loading shared libraries: libcudnn.so.*: cannot open shared object file: No such file or directory（已确保其存在，且生成软链接，环境变量也没问题）

解决：

1.只在.bashrc中，添加环境变量，有时不能解决，切换到root用户，用如下命令，可解决


# s...]]></description><category></category></item><item><title><![CDATA[windows（无GPU）+VS2013,caffe安装测试mnist问题及解决]]></title><link>https://blog.youkuaiyun.com/Ffilter/article/details/72588358</link><guid>https://blog.youkuaiyun.com/Ffilter/article/details/72588358</guid><author>Ffilter</author><pubDate>Sat, 20 May 2017 22:09:42 +0800</pubDate><description><![CDATA[刚接触DL，CPU版caffe安装，仅此记录走过的坑。

一、准备工具：

VS2013（本文仅限于VS2013版本，VS2015版本目前还未搞定，搞定后待续）

windows版本的caffehttps://github.com/BVLC/caffe/tree/windows（直接打开下载到caffe-windows压缩文件，解压即可，本文未改解压文件名，以下涉及的目录都是从该文件caffe-...]]></description><category></category></item></channel></rss>