python - tensorflow 在windows 下怎么使用gpu ?

Question

1. 相关环境

• windows 10

• python 3.5.2

• tensorflow-gpu (0.12.1)

• N卡960M

• 核显 Intel HD Graphics 4600

1. 代码

import tensorflow as tf

with tf.Session() as sess:
  with tf.device("/gpu:0"):
    matrix1 = tf.constant([[3., 3.]])
    matrix2 = tf.constant([[2.],[2.]])
    product = tf.matmul(matrix1, matrix2)
    result = sess.run([product])
    print(result)

1. 错误信息

InvalidArgumentError (see above for traceback): Cannot assign a device to node 'MatMul': Could not satisfy explicit device specification '/device:GPU:0' because no devices matching that specification are registered in this process; available devices: /job:localhost/replica:0/task:0/cpu:0
         [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/device:GPU:0"](Const, Const_1)]]

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2017-01-08 tensorflow 在windows 下使用gpu中文教程

Answer 1

之前的版本只能跑在docker里，所以没法用到gpu。现在新的版本已经声明支持windows了，你只要把这些正确安装了应该就不会有问题。

Python3.5, TensorFlow, Cuda Toolkit 8.0, cuDNN.

具体请看这篇文章，讲的非常详细 http://www.netinstructions.co...