tf.compat.v1.layers.max_pooling2d
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Max pooling layer for 2D inputs (e.g. images).
tf . compat . v1 . layers . max_pooling2d (
inputs ,
pool_size ,
strides ,
padding =& #x27;valid',
data_format =& #x27;channels_last',
name = None
)
Caution: This API was designed for TensorFlow v1.
Continue reading for details on how to migrate from this API to a native
TensorFlow v2 equivalent. See the
TensorFlow v1 to TensorFlow v2 migration guide
for instructions on how to migrate the rest of your code.
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.MaxPooling2D
.
Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
y = tf . compat . v1 . layers . max_pooling2d ( x , pool_size = 2 , strides = 2 )
After:
To migrate code using TF1 functional layers use the Keras Functional API :
x = tf . keras . Input (( 28 , 28 , 1 ))
y = tf . keras . layers . MaxPooling2D ( pool_size = 2 , strides = 2 )( x )
model = tf . keras . Model ( x , y )
Description
Args
inputs
The tensor over which to pool. Must have rank 4.
pool_size
An integer or tuple/list of 2 integers: (pool_height, pool_width)
specifying the size of the pooling window.
Can be a single integer to specify the same value for
all spatial dimensions.
strides
An integer or tuple/list of 2 integers,
specifying the strides of the pooling operation.
Can be a single integer to specify the same value for
all spatial dimensions.
padding
A string. The padding method, either 'valid' or 'same'.
Case-insensitive.
data_format
A string. The ordering of the dimensions in the inputs.
channels_last
(default) and channels_first
are supported.
channels_last
corresponds to inputs with shape
(batch, height, width, channels)
while channels_first
corresponds to
inputs with shape (batch, channels, height, width)
.
name
A string, the name of the layer.
Raises
ValueError
if eager execution is enabled.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2023-10-06 UTC.
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