【发布时间】：2021-06-05 21:41:30
【问题描述】：
无法加载动态库“libcusparse.so.11”； dlerror：libcusparse.so.11：无法打开共享对象文件：没有这样的文件或目录
有人可以帮我解决上述问题吗？
当我尝试执行以下代码时：
import tensorflow as tf
if __name__ == '__main__':
print(tf.test.is_built_with_cuda())
print(tf.config.list_physical_devices('GPU'))
我收到以下错误日志：
2021-03-07 23:47:41.236741: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
True
2021-03-07 23:47:41.953930: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-03-07 23:47:41.954322: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
[]
2021-03-07 23:47:41.981245: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-03-07 23:47:41.981758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:06:00.0 name: GeForce GTX 970 computeCapability: 5.2
coreClock: 1.329GHz coreCount: 13 deviceMemorySize: 3.94GiB deviceMemoryBandwidth: 208.91GiB/s
2021-03-07 23:47:41.981769: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2021-03-07 23:47:41.983137: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2021-03-07 23:47:41.983159: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2021-03-07 23:47:41.984153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2021-03-07 23:47:41.984274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2021-03-07 23:47:41.985206: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2021-03-07 23:47:41.985276: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory
2021-03-07 23:47:41.985339: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2021-03-07 23:47:41.985344: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1757] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
Process finished with exit code 0
我已手动检查文件夹 /usr/local/cuda-11.0/lib64，但在日志 libcusparse.so.11 中也找不到提到的文件.
我已经按照官方TensorFlow安装步骤link
环境：
- 操作系统：Ubuntu 20.04.2 LTS
- GPU Geforce GTX 970
- 驱动程序版本 450.102.04
- Cuda 工具包 V11.0
- Cudnn V8.0.4.30 （不完全确定如何检查）
- Anaconda venv 中的 Python V3.7
【问题讨论】：
-
您的 CUDA 工具包安装以某种方式损坏 - 根据here，您应该拥有 cuSparse 11.1 和指向 libcusparse.so.11 的符号链接。如果你不这样做，有些东西坏了
-
我如何检查这个？如果它坏了，我应该从 PC 中完全删除 CUDA 文件（我已经使用“purge”命令完成了）并重新安装 CUDA 或重新安装整个 Ubuntu？
标签： python tensorflow cuda