diff options
author | 2018-02-08 13:43:20 -0800 | |
---|---|---|
committer | 2018-02-08 13:49:36 -0800 | |
commit | fa3fb289ba6a1718f9c76b2277a58f95f5e878ab (patch) | |
tree | da19b938d1afc7246cee0aae68ab265d74740ce3 /tensorflow/python/layers/pooling.py | |
parent | 597377fca28c76306e749f78f8073f55726d54c9 (diff) |
Adding tf_export decorators/calls to TensorFlow functions and constants.
PiperOrigin-RevId: 185044705
Diffstat (limited to 'tensorflow/python/layers/pooling.py')
-rw-r--r-- | tensorflow/python/layers/pooling.py | 13 |
1 files changed, 13 insertions, 0 deletions
diff --git a/tensorflow/python/layers/pooling.py b/tensorflow/python/layers/pooling.py index ab06a3a408..50503ce093 100644 --- a/tensorflow/python/layers/pooling.py +++ b/tensorflow/python/layers/pooling.py @@ -26,6 +26,7 @@ from tensorflow.python.layers import base from tensorflow.python.layers import utils from tensorflow.python.ops import array_ops from tensorflow.python.ops import nn +from tensorflow.python.util.tf_export import tf_export class _Pooling1D(base.Layer): @@ -96,6 +97,7 @@ class _Pooling1D(base.Layer): return tensor_shape.TensorShape([input_shape[0], length, input_shape[2]]) +@tf_export('layers.AveragePooling1D') class AveragePooling1D(_Pooling1D): """Average Pooling layer for 1D inputs. @@ -127,6 +129,7 @@ class AveragePooling1D(_Pooling1D): **kwargs) +@tf_export('layers.average_pooling1d') def average_pooling1d(inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None): @@ -161,6 +164,7 @@ def average_pooling1d(inputs, pool_size, strides, return layer.apply(inputs) +@tf_export('layers.MaxPooling1D') class MaxPooling1D(_Pooling1D): """Max Pooling layer for 1D inputs. @@ -192,6 +196,7 @@ class MaxPooling1D(_Pooling1D): **kwargs) +@tf_export('layers.max_pooling1d') def max_pooling1d(inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None): @@ -297,6 +302,7 @@ class _Pooling2D(base.Layer): [input_shape[0], rows, cols, input_shape[3]]) +@tf_export('layers.AveragePooling2D') class AveragePooling2D(_Pooling2D): """Average pooling layer for 2D inputs (e.g. images). @@ -328,6 +334,7 @@ class AveragePooling2D(_Pooling2D): padding=padding, data_format=data_format, name=name, **kwargs) +@tf_export('layers.average_pooling2d') def average_pooling2d(inputs, pool_size, strides, padding='valid', data_format='channels_last', @@ -365,6 +372,7 @@ def average_pooling2d(inputs, return layer.apply(inputs) +@tf_export('layers.MaxPooling2D') class MaxPooling2D(_Pooling2D): """Max pooling layer for 2D inputs (e.g. images). @@ -396,6 +404,7 @@ class MaxPooling2D(_Pooling2D): padding=padding, data_format=data_format, name=name, **kwargs) +@tf_export('layers.max_pooling2d') def max_pooling2d(inputs, pool_size, strides, padding='valid', data_format='channels_last', @@ -515,6 +524,7 @@ class _Pooling3D(base.Layer): [input_shape[0], len_dim1, len_dim2, len_dim3, input_shape[4]]) +@tf_export('layers.AveragePooling3D') class AveragePooling3D(_Pooling3D): """Average pooling layer for 3D inputs (e.g. volumes). @@ -548,6 +558,7 @@ class AveragePooling3D(_Pooling3D): padding=padding, data_format=data_format, name=name, **kwargs) +@tf_export('layers.average_pooling3d') def average_pooling3d(inputs, pool_size, strides, padding='valid', data_format='channels_last', @@ -587,6 +598,7 @@ def average_pooling3d(inputs, return layer.apply(inputs) +@tf_export('layers.MaxPooling3D') class MaxPooling3D(_Pooling3D): """Max pooling layer for 3D inputs (e.g. volumes). @@ -620,6 +632,7 @@ class MaxPooling3D(_Pooling3D): padding=padding, data_format=data_format, name=name, **kwargs) +@tf_export('layers.max_pooling3d') def max_pooling3d(inputs, pool_size, strides, padding='valid', data_format='channels_last', |