【caffe】 Check failed: error == cudaSuccess (30 vs. 0) unknown error - 代码天地

【caffe】 Check failed: error == cudaSuccess (30 vs. 0) unknown error

其他 2018-05-29 11:00:51 阅读次数: 0

用nvidia-smi测试，若没有检测到GPU驱动，则安装驱动

sh NVIDIA-Linux-x86_64-390.25.run

问题解决。

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转载自blog.csdn.net/allyli0022/article/details/79210204

【caffe】 Check failed: error == cudaSuccess (30 vs. 0) unknown error

Check failed: error == cudaSuccess (30 vs. 0) unknown error *** Check failure stack trace: ***

F1217 09:24:27.107496 4541 syncedmem.cpp:71] Check failed: error == cudaSuccess (30 vs. 0) unknown

caffe error :Check failed: error == cudaSuccess (2 vs. 0) out of memory

Caffe 分类问题 Check failed: error == cudaSuccess (2 vs. 0) out of memory

Caffe: check failed error == cudasuccess (4 vs. 0) unspecified launch failure

Check failed: error == cudaSuccess (74 vs. 0) misaligned address

配置SSD-caffe测试时出现“Check failed: error == cudaSuccess (10 vs. 0) invalid device ordinal”解决

Check failed: error == cudaSuccess (2 vs. 0) out of memory 错误。

Check failed: error == cudaSuccess (77 vs. 0) an illegal memory access was encountered

Check failed: error == cudaSuccess (74 vs. 0) misaligned address的解决方法

配置SSD-caffe测试时出现“Check failed: error == cudaSuccess (10 vs. 0) invalid device ordinal”解决方案

caffe训练 Check failed: error == cudaSuccess错误汇总

caffe报错 error==cudaSuccess(8 vs. 0) invalid device function

caffe check failed registry.count(type) == 1(0 vs. 1) unknown layer type问题

error == cudaSuccess. 30 vs 0. Error at: /packages/caffe2/caffe2/core/common_gpu.cc:117

Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0) CUDNN_STATUS_INTERNAL_ERROR

check failed status == cudnn_status_success (4 vs. 0) cudnn_status_internal_error

目标检测faster rcnn error == cudaSuccess (2 vs. 0) out of memory

caffe，运行fast-rcnn出现Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: ROIPooling

caffe深度学习【十一】训练错误：Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python (know

caffe Check failed: mdb_status == 0 (2 vs. 0) No such file or directory

Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python

mxnet Check failed CUDA: unknown error simple_bind

solver_factory.hpp:76] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown solver type: SGD

faster-rcnn中添加Mask中的RoiAlign层，使回归框更精确（ roi_align_layer.cu:240] Check failed: error == cudaSuccess *） 2.如何在caffe中自定义网络层

【Caffe】Check failed: status == CUDNN_STATUS_SUCCESS (3 vs. 0) CUDNN_STATUS_BAD_PARAM

【caffe训练mobilenet】报错:Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0) CUDNN_STATUS_INTERNAL_ER

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Error: GPG check FAILED

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