tf.compat.v1.layers.max_pooling2d
Max pooling layer for 2D inputs (e.g. images).
tf.compat.v1.layers.max_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. |