Average pooling layer for 2D inputs (e.g. images).
tf.compat.v1.layers.average_pooling2d(
inputs, pool_size, strides, padding='valid',
data_format='channels_last', name=None
)
Arguments |
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.
|