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Average pooling layer for 2D inputs (e.g. images).
Inherits From: AveragePooling2D
, Layer
, Layer
, Module
tf.compat.v1.layers.AveragePooling2D(
pool_size,
strides,
padding='valid',
data_format='channels_last',
name=None,
**kwargs
)
Migrate to TF2
This API is a legacy api that is only compatible with eager execution and
tf.function
if you combine it with
tf.compat.v1.keras.utils.track_tf1_style_variables
Please refer to tf.layers model mapping section of the migration guide to learn how to use your TensorFlow v1 model in TF2 with Keras.
The corresponding TensorFlow v2 layer is
tf.keras.layers.AveragePooling2D
.
Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
pooling = tf.compat.v1.layers.AveragePooling2D(pool_size=2, strides=2)
After:
pooling = tf.keras.layers.AveragePooling2D(pool_size=2, strides=2)
Description
Attributes | |
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graph
|
|
scope_name
|