caffe 训练时,出现错误:Check failed: error == cudaSuccess (4 vs. 0) unspecified launch failure
I0415 15:03:37.603461 27311 solver.cpp:42] Solver scaffolding done.
I0415 15:03:37.603549 27311 solver.cpp:247] Solving AlexNet
I0415 15:03:37.603559 27311 solver.cpp:248] Learning Rate Policy: step
I0415 15:03:37.749981 27311 solver.cpp:214] Iteration 0, loss = 5.45141
I0415 15:03:37.750030 27311 solver.cpp:229] Train net output #0: loss = 5.45141 (* 1 = 5.45141 loss)
I0415 15:03:37.750048 27311 solver.cpp:489] Iteration 0, lr = 0.001
I0415 15:03:38.316994 27311 solver.cpp:214] Iteration 12, loss = 4.23865
I0415 15:03:38.317054 27311 solver.cpp:229] Train net output #0: loss = 4.23865 (* 1 = 4.23865 loss)
I0415 15:03:38.317068 27311 solver.cpp:489] Iteration 12, lr = 0.001
I0415 15:03:38.920938 27311 solver.cpp:214] Iteration 24, loss = 2.49914
I0415 15:03:38.921000 27311 solver.cpp:229] Train net output #0: loss = 2.49914 (* 1 = 2.49914 loss)
I0415 15:03:38.921016 27311 solver.cpp:489] Iteration 24, lr = 0.001
I0415 15:03:39.509793 27311 solver.cpp:214] Iteration 36, loss = 3.76504
I0415 15:03:39.509850 27311 solver.cpp:229] Train net output #0: loss = 3.76504 (* 1 = 3.76504 loss)
I0415 15:03:39.509861 27311 solver.cpp:489] Iteration 36, lr = 0.001
I0415 15:03:40.080806 27311 solver.cpp:214] Iteration 48, loss = 3.74901
I0415 15:03:40.080862 27311 solver.cpp:229] Train net output #0: loss = 3.74901 (* 1 = 3.74901 loss)
I0415 15:03:40.080878 27311 solver.cpp:489] Iteration 48, lr = 0.001
I0415 15:03:40.643797 27311 solver.cpp:214] Iteration 60, loss = 2.27091
I0415 15:03:40.643849 27311 solver.cpp:229] Train net output #0: loss = 2.27091 (* 1 = 2.27091 loss)
I0415 15:03:40.643860 27311 solver.cpp:489] Iteration 60, lr = 0.001
I0415 15:03:41.217475 27311 solver.cpp:214] Iteration 72, loss = 2.67078
I0415 15:03:41.217541 27311 solver.cpp:229] Train net output #0: loss = 2.67078 (* 1 = 2.67078 loss)
I0415 15:03:41.217561 27311 solver.cpp:489] Iteration 72, lr = 0.001
I0415 15:03:41.793390 27311 solver.cpp:214] Iteration 84, loss = 1.77313
I0415 15:03:41.793452 27311 solver.cpp:229] Train net output #0: loss = 1.77313 (* 1 = 1.77313 loss)
I0415 15:03:41.793468 27311 solver.cpp:489] Iteration 84, lr = 0.001
I0415 15:03:42.362951 27311 solver.cpp:214] Iteration 96, loss = 3.49406
I0415 15:03:42.363004 27311 solver.cpp:229] Train net output #0: loss = 3.49406 (* 1 = 3.49406 loss)
I0415 15:03:42.363025 27311 solver.cpp:489] Iteration 96, lr = 0.001
I0415 15:03:42.946568 27311 solver.cpp:214] Iteration 108, loss = 2.81601
I0415 15:03:42.946633 27311 solver.cpp:229] Train net output #0: loss = 2.81601 (* 1 = 2.81601 loss)
I0415 15:03:42.946651 27311 solver.cpp:489] Iteration 108, lr = 0.001
I0415 15:03:43.524155 27311 solver.cpp:214] Iteration 120, loss = 2.85056
I0415 15:03:43.524247 27311 solver.cpp:229] Train net output #0: loss = 2.85056 (* 1 = 2.85056 loss)
I0415 15:03:43.524265 27311 solver.cpp:489] Iteration 120, lr = 0.001
I0415 15:03:44.100580 27311 solver.cpp:214] Iteration 132, loss = 3.58945
I0415 15:03:44.100646 27311 solver.cpp:229] Train net output #0: loss = 3.58945 (* 1 = 3.58945 loss)
I0415 15:03:44.100661 27311 solver.cpp:489] Iteration 132, lr = 0.001
F0415 15:03:44.536542 27311 math_functions.cpp:91] Check failed: error == cudaSuccess (4 vs. 0) unspecified launch failure
*** Check failure stack trace: ***
@ 0x7f01dbd9ddaa (unknown)
@ 0x7f01dbd9dce4 (unknown)
@ 0x7f01dbd9d6e6 (unknown)
@ 0x7f01dbda0687 (unknown)
@ 0x7f01dc1bb3f5 caffe::caffe_copy<>()
@ 0x7f01dc230232 caffe::BasePrefetchingDataLayer<>::Forward_gpu()
@ 0x7f01dc1d9d6f caffe::Net<>::ForwardFromTo()
@ 0x7f01dc1da197 caffe::Net<>::ForwardPrefilled()
@ 0x7f01dc20cbe5 caffe::Solver<>::Step()
@ 0x7f01dc20d52f caffe::Solver<>::Solve()
@ 0x406428 train()
@ 0x404961 main
@ 0x7f01db2afec5 (unknown)
@ 0x404f0d (unknown)
@ (nil) (unknown)
Aborted
wangxiao@gtx-980:~/Downloads/lstm_caffe_master$
---------------------------------------------------------------------------------------------------------------------------------------
怎么破 ???求解答。。。。
well, the only word I want to say is : where amazing happens ???
I restart my pc and run the code again and it worked ......

caffe 训练时,出现错误:Check failed: error == cudaSuccess (4 vs. 0) unspecified launch failure的更多相关文章
- caffe运行错误: im2col.cu:61] Check failed: error == cudaSuccess (8 vs. 0) invalid device function
错误: im2col.cu:61] Check failed: error == cudaSuccess (8 vs. 0) invalid device function 原因:由于Makefil ...
- 配置SSD-caffe测试时出现“Check failed: error == cudaSuccess (10 vs. 0) invalid device ordinal”解决方案
这是由于GPU数量不匹配造成的,如果训练自己的数据,那么我们只需要将solver.prototxt文件中的device_id项改为自己的GPU块数,一块就是0,两块就是1,以此类推. 但是SSD配置时 ...
- 【CUDA开发】 Check failed: error == cudaSuccess (8 vs. 0) invalid device function
最近在复现R-CNN一系列的实验时,配置代码环境真是花费了不少时间.由于对MATLAB不熟悉,实验采用的都是github上rbg大神的Python版本.在配置Faster R-CNN时,编译没有问题, ...
- Caffe 分类问题 Check failed: error == cudaSuccess (2 vs. 0) out of memory
如果图片过大,需要适当缩小batch_size的值,否则使用GPU时可能超出其缓存大小而报错
- Check failed: status == CUBLAS_STATUS_SUCCESS (11 vs. 0) CUBLAS_STATUS_MAPPING_ERROR
I0930 21:23:15.115576 30918 solver.cpp:281] Learning Rate Policy: multistepF0930 21:23:17.263314 310 ...
- check failed status == cudnn_status_success (4 vs. 0) cudnn_status_internal_error
Check failed: error == cudaSuccess (30 vs. 0) unknown error 这个有可能是显存不足造成的,或者网络参数不对造成的 check failed ...
- 目标检测faster rcnn error == cudaSuccess (2 vs. 0) out of memory
想尝试 更深更强的网络,或者自己写了一个费显存的层,发现1080 ti的11G显存不够用了,老师报显存不够怎么办? Check failed: error == cudaSuccess (2 vs. ...
- 发布到远程存储库时遇到错误: Git failed with a fatal error.
正在推送 master发布到远程存储库时遇到错误: Git failed with a fatal error.Authentication failed for 'http://1212121xxx ...
- windows7下解决caffe check failed registry.count(type) == 1(0 vs. 1) unknown layer type问题
在Windows7下调用vs2013生成的Caffe静态库时经常会提示Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer t ...
随机推荐
- 在iis6.0公布asp.net mvc3网站
在iis6.0发布asp.net mvc3网站 这个问题一直困扰了我很长一段时间,终于在今天综合网上查的资料把它解决了. 在iis6.0发布asp.net mvc3网站 1 需要在服务器下安装.n ...
- php的数据访问
方法一:过去时方法 $定义一个变量 = $mysql_connect("要连接的服务器,默认是 localhost","登录所使用的用户名,默认是 root", ...
- 等价表达式(noip2005)
3.等价表达式 [问题描述] 兵兵班的同学都喜欢数学这一科目,中秋聚会这天,数学课代表给大家出了个有关代数表达式的选择题.这个题目的题干中首先给出了一个代数表达式,然后列出了若干选项,每个选项也 ...
- Geetest 极验验证 验证图片拼图
今天要求做一个跟魅族官网登陆的一个验证效果一样的界面 是一个拖动滑动图片进行拼图 那个效果看着很好,刚开始拿到不知道好不好做 从网上搜资料发现这是一种“极验验证码” 让用户通过滑动拼图来进行验证. 网 ...
- Apache与Nginx的区分比较
什么是Nginx代理代理服务器,它和Apache相比又有什么区别呢?你又该如何选择使用呢,用其中一个还是两者都用?我们将会在这里探索一下这些问题的答案. Apache服务器从1995年就开始使用了.相 ...
- UIControl的使用
在开发当中,可能很多时候都需要做个点赞的需求,如果用按钮实现,按钮作为一个系统复合控件,外部是一个 View-->UIControl的容器, 内部包含了UILabel和UIImage,以及一些排 ...
- 不能使用weak修饰进行声明的类
These classes include NSTextView, NSFont and NSColorSpace; for the full list, see Transitioning to A ...
- 多线程编程3 - NSOperationQueue
一.简介 一个NSOperation对象可以通过调用start方法来执行任务,默认是同步执行的.也可以将NSOperation添加到一个NSOperationQueue(操作队列)中去执行,而且是异步 ...
- native
源博客:http://blog.csdn.net/jiakw_1981/article/details/3073613 一. 什么是Native Method 简单地讲,一个Native Meth ...
- php中将文中关键词高亮显示,快捷方式可以用正则
php将文中关键词高亮显示,可以用正则表达式 $text = "Sample sentence from AnsonCheung.tk, regular expression has bec ...