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Max Pooling layer for 1D inputs.
Inherits From: MaxPool1D
, Layer
, Layer
, Module
tf.compat.v1.layers.MaxPooling1D(
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.MaxPooling1D
.
Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
pooling = tf.compat.v1.layers.MaxPooling1D(pool_size=2, strides=2)
After:
pooling = tf.keras.layers.MaxPooling1D(pool_size=2, strides=2)
Description
Attributes | |
---|---|
graph
|
|
scope_name
|
Methods
apply
apply(
*args, **kwargs
)
get_losses_for
get_losses_for(
inputs
)
Retrieves losses relevant to a specific set of inputs.
Args | |
---|---|
inputs
|
Input tensor or list/tuple of input tensors. |
Returns | |
---|---|
List of loss tensors of the layer that depend on inputs .
|
get_updates_for
get_updates_for(
inputs
)
Retrieves updates relevant to a specific set of inputs.
Args | |
---|---|
inputs
|
Input tensor or list/tuple of input tensors. |
Returns | |
---|---|
List of update ops of the layer that depend on inputs .
|