experiments/STT-tensorflow
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Correct misspelling in comments referring to how to initialize local variables.

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Change: 144289263
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A. Unique TensorFlower 2017-01-11 22:26:02 -08:00 committed by TensorFlower Gardener
parent 2abef5cebb
commit 58b4d147ea
1 changed files with 6 additions and 6 deletions
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tensorflow/python/training/input.py
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@ -69,7 +69,7 @@ def match_filenames_once(pattern, name=None):
def limit_epochs(tensor, num_epochs=None, name=None):
"""Returns tensor `num_epochs` times and then raises an `OutOfRange` error.
Note: creates local counter `epochs`. Use `local_variable_initializer()` to
Note: creates local counter `epochs`. Use `local_variables_initializer()` to
initialize local variables.
Args:
@ -111,7 +111,7 @@ def input_producer(input_tensor,
"""Output the rows of `input_tensor` to a queue for an input pipeline.
Note: if `num_epochs` is not `None`, this function creates local counter
`epochs`. Use `local_variable_initializer()` to initialize local variables.
`epochs`. Use `local_variables_initializer()` to initialize local variables.
Args:
input_tensor: A tensor with the rows to produce. Must be at least
@ -180,7 +180,7 @@ def string_input_producer(string_tensor,
"""Output strings (e.g. filenames) to a queue for an input pipeline.
Note: if `num_epochs` is not `None`, this function creates local counter
`epochs`. Use `local_variable_initializer()` to initialize local variables.
`epochs`. Use `local_variables_initializer()` to initialize local variables.
Args:
string_tensor: A 1-D string tensor with the strings to produce.
@ -235,7 +235,7 @@ def range_input_producer(limit, num_epochs=None, shuffle=True, seed=None,
"""Produces the integers from 0 to limit-1 in a queue.
Note: if `num_epochs` is not `None`, this function creates local counter
`epochs`. Use `local_variable_initializer()` to initialize local variables.
`epochs`. Use `local_variables_initializer()` to initialize local variables.
Args:
limit: An int32 scalar tensor.
@ -831,7 +831,7 @@ def batch(tensors, batch_size, num_threads=1, capacity=32,
operations that depend on fixed batch_size would fail.
Note: if `num_epochs` is not `None`, this function creates local counter
`epochs`. Use `local_variable_initializer()` to initialize local variables.
`epochs`. Use `local_variables_initializer()` to initialize local variables.
Args:
tensors: The list or dictionary of tensors to enqueue.
@ -1124,7 +1124,7 @@ def shuffle_batch(tensors, batch_size, capacity, min_after_dequeue,
operations that depend on fixed batch_size would fail.
Note: if `num_epochs` is not `None`, this function creates local counter
`epochs`. Use `local_variable_initializer()` to initialize local variables.
`epochs`. Use `local_variables_initializer()` to initialize local variables.
Args:
tensors: The list or dictionary of tensors to enqueue.