[TensorFlow] 运行报错：W tensorflowstream_executorplatformdefaultdso_loader.cc59]

向右看齐 2022-12-08 15:56 269阅读 0赞

# \[TensorFlow\] 运行报错：W tensorflow/stream\_executor/platform/default/dso\_loader.cc:59\] #

### 问题描述 ###

使用官网的命令下载TensorFlow没有出现问题

pip install tensorflow

但是运行时出现报错信息：

2020-09-20 21:31:45.455714: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
    2020-09-20 21:31:45.455738: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

### 问题分析 ###

看报错信息也能看出来时GPU的问题。

查阅资料后时GPU的版本与TensorFlow的版本不一致。

对应关系参见：https://tensorflow.google.cn/install/source\#gpu

<table> 
 <thead> 
  <tr> 
   <th>版本</th> 
   <th>Python 版本</th> 
   <th>编译器</th> 
   <th>构建工具</th> 
   <th>cuDNN</th> 
   <th>CUDA</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>tensorflow-2.1.0</td> 
   <td>2.7、3.5-3.7</td> 
   <td>GCC 7.3.1</td> 
   <td>Bazel 0.27.1</td> 
   <td>7.6</td> 
   <td>10.1</td> 
  </tr> 
  <tr> 
   <td>tensorflow-2.0.0</td> 
   <td>2.7、3.3-3.7</td> 
   <td>GCC 7.3.1</td> 
   <td>Bazel 0.26.1</td> 
   <td>7.4</td> 
   <td>10.0</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.14.0</td> 
   <td>2.7、3.3-3.7</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.24.1</td> 
   <td>7.4</td> 
   <td>10.0</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.13.1</td> 
   <td>2.7、3.3-3.7</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.19.2</td> 
   <td>7.4</td> 
   <td>10.0</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.12.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.15.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.11.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.15.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.10.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.15.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.9.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.11.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.8.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.10.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.7.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.9.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.6.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.9.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.5.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.8.0</td> 
   <td>7</td> 
   <td>9</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.4.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.5.4</td> 
   <td>6</td> 
   <td>8</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.3.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.4.5</td> 
   <td>6</td> 
   <td>8</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.2.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.4.5</td> 
   <td>5.1</td> 
   <td>8</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.1.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.4.2</td> 
   <td>5.1</td> 
   <td>8</td> 
  </tr> 
  <tr> 
   <td>tensorflow_gpu-1.0.0</td> 
   <td>2.7、3.3-3.6</td> 
   <td>GCC 4.8</td> 
   <td>Bazel 0.4.2</td> 
   <td>5.1</td> 
   <td>8</td> 
  </tr> 
 </tbody> 
</table>

我用的是**CUDA 10.0**，对应TensorFlow版本应为 **tensorflow-2.0.0**

### 解决方案 ###

下载对应的TensorFlow版本

pip install tensorflow==2.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple

下载后正常！

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