View source on GitHub |
Average Pooling layer for 1D inputs.
tf.compat.v1.layers.average_pooling1d(
inputs,
pool_size,
strides,
padding='valid',
data_format='channels_last',
name=None
)
Migrate to TF2
This API is not compatible with eager execution or tf.function
.
Please refer to tf.layers section of the migration guide
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is tf.keras.layers.AveragePooling1D
.
Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
y = tf.compat.v1.layers.average_pooling1d(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.AveragePooling1D(pool_size=2, strides=2)(x)
model = tf.keras.Model(x, y)
Description
Returns | |
---|---|
The output tensor, of rank 3. |
Raises | |
---|---|
ValueError
|
if eager execution is enabled. |