From cfbb4beda154c72be09df5a5f89452e7ce1c13c7 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Thu, 30 Jun 2016 09:12:17 -0800 Subject: [PATCH] Update generated Python Op docs. Change: 126314412 --- tensorflow/g3doc/api_docs/python/contrib.learn.md | 3 +-- .../shard4/tf.contrib.learn.read_batch_features.md | 3 +-- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/tensorflow/g3doc/api_docs/python/contrib.learn.md b/tensorflow/g3doc/api_docs/python/contrib.learn.md index b573b02bd71..25bfe07e7a0 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.learn.md +++ b/tensorflow/g3doc/api_docs/python/contrib.learn.md @@ -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. * `queue_capacity`: Capacity for input queue. * `reader_num_threads`: The number of threads to read examples. * `parser_num_threads`: The number of threads to parse examples. -* `read_batch_size`: An int or scalar `Tensor` specifying the number of records to read at once * `name`: Name of resulting op. diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md index 6327760ca08..d18c316080e 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md @@ -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. * `queue_capacity`: Capacity for input queue. * `reader_num_threads`: The number of threads to read examples. * `parser_num_threads`: The number of threads to parse examples. -* `read_batch_size`: An int or scalar `Tensor` specifying the number of records to read at once * `name`: Name of resulting op.