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Update generated Python Op docs.

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Change: 126314412
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A. Unique TensorFlower 2016-06-30 09:12:17 -08:00 committed by TensorFlower Gardener
parent e19437c09a
commit cfbb4beda1
2 changed files with 2 additions and 4 deletions
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tensorflow/g3doc/api_docs/python/contrib.learn.md
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@ -5083,7 +5083,7 @@ Use `parse_fn` if you need to do parsing / processing on single examples.
- - -
### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, read_batch_size=1, name=None)` {#read_batch_features}
### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, name=None)` {#read_batch_features}
Adds operations to read, queue, batch and parse `Example` protos.
@ -5115,7 +5115,6 @@ All ops are added to the default graph.
* <b>`queue_capacity`</b>: Capacity for input queue.
* <b>`reader_num_threads`</b>: The number of threads to read examples.
* <b>`parser_num_threads`</b>: The number of threads to parse examples.
* <b>`read_batch_size`</b>: An int or scalar `Tensor` specifying the number of
records to read at once
* <b>`name`</b>: Name of resulting op.

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tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md
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@ -1,4 +1,4 @@
### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, read_batch_size=1, name=None)` {#read_batch_features}
### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, name=None)` {#read_batch_features}
Adds operations to read, queue, batch and parse `Example` protos.
@ -30,7 +30,6 @@ All ops are added to the default graph.
* <b>`queue_capacity`</b>: Capacity for input queue.
* <b>`reader_num_threads`</b>: The number of threads to read examples.
* <b>`parser_num_threads`</b>: The number of threads to parse examples.
* <b>`read_batch_size`</b>: An int or scalar `Tensor` specifying the number of
records to read at once
* <b>`name`</b>: Name of resulting op.