RuntimeError: as_numpy_iterator() is not supported while tracing functions

Question

while i was using function as_numpy_iterator() got error

--------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) in () ----> 1 image = get_image_data(image_paths)

1 frames /tensorflow-2.1.0/python3.6/tensorflow_core/python/data/ops/dataset_ops.py in as_numpy_iterator(self) 488 """ 489 if not context.executing_eagerly(): --> 490 raise RuntimeError("as_numpy_iterator() is not supported while tracing " 491 "functions") 492 for component_spec in nest.flatten(self.element_spec):

RuntimeError: as_numpy_iterator() is not supported while tracing functions

my code is

    # creating a function called get_dataset, which creates a dataset of image data from file paths.
def get_dataset(image_paths):
  filename_tensor = tf.constant(image_paths)
  dataset = tf.data.Dataset.from_tensor_slices(filename_tensor)
  def _map_fn(filename):
    return decode_image(filename=filename)
  return dataset.map(_map_fn)
#
def get_image_data(image_paths):
  dataset = get_dataset(image_paths)
  return list(dataset.as_numpy_iterator())
image = get_image_data(image_paths)

it throws error in using dataset.as_numpy_iterator() . I had used image paths of two array of filename

Answer 1

这里的错误消息有点令人困惑，因为它讨论了跟踪函数，但我遇到了这个问题并意识到这是一个数据集功能，仅在启用急切执行时才受支持。它在 TensorFlow 2.x 中默认启用，但您也可以在更高版本的 1.x 中手动启用它。如果启用它，此错误消息应该消失。