无法打开 CUDA 库 cublas64_80.dll

Posted 2023-04-15

【中文标题】无法打开 CUDA 库 cublas64_80.dll

【英文标题】：Couldn't open CUDA library cublas64_80.dll

【发布时间】：2020-09-02 20:37:08

【问题描述】：

1.我已经安装了 CUDA Toolkit 8.0 2.下载cuDNN 5.1 3.将 cuDNN 5.1/cuda 中的文件与 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0 bin,include,lib 合并

4.设置新的路径变量 C:\Program Files\NVIDIA GPU 计算工具包\CUDA\v8.0\bin C:\Program Files\NVIDIA GPU 计算工具包\CUDA\v8.0\libnvvp C:\Program Files\NVIDIA GPU 计算工具包\CUDA\v8.0\extras\CUPTI\libx64 5.使用以下命令安装GPU版本的TensorFlow 1.0.0（我的代码只适用于1.0.0） pip install tensorflow-gpu==1.0.0

现在当我在 spyder 中运行我的 chatbot.py 代码时，我遇到了这些错误

    An error ocurred while starting the kernel
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:126] Couldn't open CUDA library cublas64_80.dll
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_blas.cc:2294] Unable to load cuBLAS DSO.
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:126] Couldn't open CUDA library cudnn64_5.dll
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_dnn.cc:3517] Unable to load cuDNN DSO
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:126] Couldn't open CUDA library cufft64_80.dll
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_fft.cc:344] Unable to load cuFFT DSO.
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library nvcuda.dll locally
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:126] Couldn't open CUDA library curand64_80.dll
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_rng.cc:338] Unable to load cuRAND DSO.
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:885] Found device 0 with properties: 
name: GeForce GTX 1050 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.62
pciBusID 0000:01:00.0
Total memory: 4.00GiB
Free memory: 3.30GiB
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:906] DMA: 0 
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:916] 0: Y 
I c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:975] Creating TensorFlow device (/gpu:0) ‑> (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0)
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
F c:\tf_jenkins\home\workspace\release‑win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_blas.cc:268] Check failed: s.ok() could not find cublasCreate_v2 in cuBLAS DSO; dlerror: cublasCreate_v2 not found

【参考方案1】：

如果您没有安装 CUDA 8.0 的补丁，通常会出现此错误。请从https://developer.nvidia.com/cuda-80-ga2-download-archive安装补丁2