Question

我正在运行以下代码。我收到XLA Compiler错误，如下所述。我有Tensorflow GPU 1.8版本，但我确实尝试了CPU版本，我收到了错误。但是当我将Tensorflow（CPU）降级到1.3时，我没有收到任何错误。已使用Pip的虚拟环境安装Tensorflow。

请有人帮助我。

代码：

(?, 16, 16, 3)
(?, 8, 8, 6)
(?, 16, 16, 3)     # <<<<< This should have printed (?, ?, ?, ?)

Traceback (most recent call last):
  File "/my/path/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2327, in get_attr
    c_api.TF_OperationGetAttrValueProto(self._c_op, name, buf)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Operation 'conv2d_transpose' has no attr named '_XlaCompile'.

Traceback (most recent call last):
  File "/my/path/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py", line 380, in _MaybeCompile
    xla_compile = op.get_attr("_XlaCompile")
  File "/my/path/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2331, in get_attr
    raise ValueError(str(e))
ValueError: Operation 'conv2d_transpose' has no attr named '_XlaCompile'.

错误日志：

g = tf.train.AdamOptimizer(0.01).minimize(t)

错误出现在第{{1}}行

中

Answer 1

问题正在发生，因为过滤器的形状不匹配，与之相关的步幅与VALID填充产生所需的输出形状。我应该设置[1,1,3,3]的反卷积滤波器形状，并在[1,1,1,1]处大步前进。

必填代码：

deconv_filter = tf.get_variable('deconv_filter', shape=[1, 1, 6, 3], dtype=tf.float32)

deconv = tf.nn.conv2d_transpose(input_tensor, filter=deconv_filter,
    output_shape=tf.shape(input_tensor),
    strides=[1, 1, 1, 1],
    padding='VALID')

XLA编译错误：操作没有名为＆＃39; _XlaCompile＆＃39;

1 个答案: