Question

我正在尝试使用JIT编译运行一个简单的tensorflow示例，如https://www.tensorflow.org/versions/master/experimental/xla/jit所示。我使用以下代码代替mnist_softmax_xla示例：

def main(_):
    config = tf.ConfigProto(log_device_placement=True)
    jit_level = 0 
    if FLAGS.xla:
        # Turns on XLA JIT compilation.
        jit_level = tf.OptimizerOptions.ON_1

    config.graph_options.optimizer_options.global_jit_level = jit_level
    # Creates a session with log_device_placement set to True.
    with tf.Session(config=config) as sess:
        # Creates a graph.
        with tf.device('/job:localhost/replica:0/task:0/device:XLA_CPU:0'):
            a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
            b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
            c = tf.matmul(a, b)

        # Runs the op.
        print(sess.run(c))

我收到了一个错误：

tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device to node 'MatMul': Could not satisfy explicit device specification '/job:localhost/replica:0/task:0/device:XLA_CPU: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="/job:localhost/replica:0/task:0/device:XLA_CPU:0"](a, b)]]

我做错了什么？

Answer 1

原来我正在运行Python2。它现在在使用Python3

运行时有效

使用XLA运行Tensorflow时出错

1 个答案: