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Dataset: Adds eager warnings to make_initializable_iterator and make_one_shot_iterator.
PiperOrigin-RevId: 173949737
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@ -25,6 +25,7 @@ import numpy as np
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from tensorflow.python.data.ops import iterator_ops
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from tensorflow.python.data.ops import iterator_ops
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from tensorflow.python.data.util import nest
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from tensorflow.python.data.util import nest
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from tensorflow.python.eager import context
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import function
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from tensorflow.python.framework import function
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@ -80,7 +81,14 @@ class Dataset(object):
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Returns:
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Returns:
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An `Iterator` over the elements of this dataset.
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An `Iterator` over the elements of this dataset.
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Raises:
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RuntimeError: If eager execution is enabled.
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"""
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"""
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if context.in_eager_mode():
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raise RuntimeError(
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"dataset.make_initializable_iterator is not supported when eager "
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"execution is enabled.")
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if shared_name is None:
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if shared_name is None:
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shared_name = ""
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shared_name = ""
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iterator_resource = gen_dataset_ops.iterator(
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iterator_resource = gen_dataset_ops.iterator(
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@ -102,7 +110,14 @@ class Dataset(object):
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Returns:
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Returns:
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An `Iterator` over the elements of this dataset.
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An `Iterator` over the elements of this dataset.
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Raises:
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RuntimeError: If eager execution is enabled.
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"""
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"""
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if context.in_eager_mode():
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raise RuntimeError(
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"dataset.make_one_shot_iterator is not supported when eager "
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"execution is enabled.")
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# NOTE(mrry): We capture by value here to ensure that `_make_dataset()` is
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# NOTE(mrry): We capture by value here to ensure that `_make_dataset()` is
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# a 0-argument function.
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# a 0-argument function.
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@function.Defun(capture_by_value=True)
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@function.Defun(capture_by_value=True)
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