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Move @compatibility(eager) from class docstring to __init__ docstring

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Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
This commit is contained in:
Yong Tang 2017-10-27 17:02:27 +00:00
parent 7d7b2ec58e
commit 5120e75cff
1 changed files with 8 additions and 8 deletions
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16
tensorflow/python/ops/variables.py
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@ -118,14 +118,6 @@ class Variable(object):
`trainable_variables()` returns the contents of this collection. The `trainable_variables()` returns the contents of this collection. The
various `Optimizer` classes use this collection as the default list of various `Optimizer` classes use this collection as the default list of
variables to optimize. variables to optimize.
@compatibility(eager)
`tf.Variable` is not compatible with eager execution. Use
`tfe.Variable` instead which is compatable with both eager execution
and graph construction. See [the TensorFlow Eager Execution
guide](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/eager/python/g3doc/guide.md#variables-and-optimizers)
for details on how variables work in eager execution.
@end_compatibility
""" """
def __init__(self, def __init__(self,
@ -197,6 +189,14 @@ class Variable(object):
ValueError: If the initial value is not specified, or does not have a ValueError: If the initial value is not specified, or does not have a
shape and `validate_shape` is `True`. shape and `validate_shape` is `True`.
RuntimeError: If eager execution is enabled. RuntimeError: If eager execution is enabled.
@compatibility(eager)
`tf.Variable` is not compatible with eager execution. Use
`tfe.Variable` instead which is compatable with both eager execution
and graph construction. See [the TensorFlow Eager Execution
guide](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/eager/python/g3doc/guide.md#variables-and-optimizers)
for details on how variables work in eager execution.
@end_compatibility
""" """
if not context.in_graph_mode(): if not context.in_graph_mode():
raise RuntimeError("tf.Variable not supported in Eager mode. " raise RuntimeError("tf.Variable not supported in Eager mode. "