【err】开启Persistence-M模式-Check failed: err == CUBLAS_STATUS_SUCCESS (1 vs. 0) : Create cublas handle failed

【【err】开启Persistence-M模式-Check failed: err == CUBLAS_STATUS_SUCCESS (1 vs. 0) : Create cublas handle failed】的更多相关文章

【err】开启Persistence-M模式-Check failed: err == CUBLAS_STATUS_SUCCESS (1 vs. 0) : Create cublas handle failed

前言安装好CUDA.CUDNN.NVIDIA driver之后,使用mxnet框架的时候出现该错误,本文记录该问题的解决方法. 环境 ubuntu 16.04 MxNet Cuda9.0 Nvidia driver 384 error terminate called after throwing an instance of 'dmlc::Error' what(): [::] /home/travis/build/dmlc/mxnet-distro/mxnet-build/3rdparty…

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 31011 math_functions.cu:121] Check failed: status == CUBLAS_STATUS_SUCCESS (11 vs. 0) CUBLAS_STATUS_MAPPING_ERROR*** Check failure stack trace: ***F0930…

CUDA报错： Cannot create Cublas handle. Cublas won't be available. 以及：Check failed: status == CUBLAS_STATUS_SUCCESS (1 vs. 0) CUBLAS_STATUS_NOT_INITIALIZED

Error描述: aita@aita-Alienware-Area-51-R5:~/AITA2/daisida/ssd-github/caffe$ make runtest -j8 .build_release/tools/caffe caffe: command line brew usage: caffe <command> <args> commands: train train or finetune a model test score a model device_qu…

首次运行tensorflow-gpu 1.0 报错 failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED

发现博客: https://blog.csdn.net/u010752600/article/details/79534910 于是找到解决方法. sudo rm -rf ~/.nv/ …

failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED 错误解决方法

解决: config = tf.ConfigProto() config.gpu_options.allow_growth = True session = tf.Session(config=config, ...) 还有这样的(固定分配): gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.333) sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_opti…

GPU 版 TensorFlow failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED

原因: 使用 GPU 版 TensorFlow ,并且在显卡高占用率的情况下(比如玩游戏)训练模型,要注意在初始化 Session 的时候为其分配固定数量的显存,否则可能会在开始训练的时候直接报错退出. 解决方法: gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.333) sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options)) 原先代码: wit…

解决 conda tensorflow failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED

参考解决方案1:https://stackoverflow.com/questions/38303974/tensorflow-running-error-with-cublas 参考解决方案2:https://github.com/tensorflow/tensorflow/issues/9489 本人环境: Hassee G7-CT7NK Ubuntu 18.04.2.anaconda 4.7.11.tensorflow-gpu 1.14.0 cudatoolkit 10.0.130.cud…