From 5d1780b3aa3fad577a138da9452cd88f2e127688 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Mon, 27 Mar 2017 08:46:50 -0800 Subject: Comment change s/contrib.layer/contrib.layers/ Change: 151332329 --- tensorflow/contrib/layers/python/layers/feature_column_ops.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tensorflow/contrib/layers/python/layers/feature_column_ops.py b/tensorflow/contrib/layers/python/layers/feature_column_ops.py index f96a513f80..de62a1778f 100644 --- a/tensorflow/contrib/layers/python/layers/feature_column_ops.py +++ b/tensorflow/contrib/layers/python/layers/feature_column_ops.py @@ -189,7 +189,7 @@ def input_from_feature_columns(columns_to_tensors, weight_collections=None, trainable=True, scope=None): - """A tf.contrib.layer style input layer builder based on FeatureColumns. + """A tf.contrib.layers style input layer builder based on FeatureColumns. Generally a single example in training data is described with feature columns. At the first layer of the model, this column oriented data should be converted @@ -471,7 +471,7 @@ def weighted_sum_from_feature_columns(columns_to_tensors, weight_collections=None, trainable=True, scope=None): - """A tf.contrib.layer style linear prediction builder based on FeatureColumns. + """A tf.contrib.layers style linear prediction builder based on FeatureColumn. Generally a single example in training data is described with feature columns. This function generates weighted sum for each num_outputs. Weighted sum refers -- cgit v1.2.3