title: How to convert XLA_GPU into GPU
body: <p>My OS is Ubuntu 18.04 and my GPU is GTX850M. I'm using nvidia drivers 430.50, <code>CUDA 10.1</code> ,<code>CuDNN 9.0</code> and <code>tensorflow-gpu 1.14.0</code>. When I try getting available devices in tensorflow with</p>
  
  <pre><code>from tensorflow.python.client import device_lib
  
  device_lib.list_local_devices()
  </code></pre>
  
  <p>I'm getting this out</p>
  
  <pre><code>[name: "/device:CPU:0"
   device_type: "CPU"
   memory_limit: 268435456
   locality {
   }
   incarnation: 2293723676390825589,
   name: "/device:XLA_GPU:0"
   device_type: "XLA_GPU"
   memory_limit: 17179869184
   locality {
   }
   incarnation: 15287372432461854293
   physical_device_desc: "device: XLA_GPU device",
   name: "/device:XLA_CPU:0"
   device_type: "XLA_CPU"
   memory_limit: 17179869184
   locality {
   }
   incarnation: 10399216684927698454
   physical_device_desc: "device: XLA_CPU device"]
  </code></pre>
  
  <p>I can use the XLA_GPU for basic applications(i.e. tensorflow constant production) but I can't train a neural network. How can I convert XLA_GPU into GPU for train deep neural networks?</p>