tf.contrib.layers.max_pool2d

Adds a 2D Max Pooling op.

tf.contrib.layers.max_pool2d(
    inputs, kernel_size, stride=2, padding='VALID', data_format=DATA_FORMAT_NHWC,
    outputs_collections=None, scope=None
)

It is assumed that the pooling is done per image but not in batch or channels.

Args
inputs	A 4-D tensor of shape [batch_size, height, width, channels] if data_format is NHWC, and [batch_size, channels, height, width] if data_format is NCHW.
kernel_size	A list of length 2: [kernel_height, kernel_width] of the pooling kernel over which the op is computed. Can be an int if both values are the same.
stride	A list of length 2: [stride_height, stride_width]. Can be an int if both strides are the same. Note that presently both strides must have the same value.
padding	The padding method, either 'VALID' or 'SAME'.
data_format	A string. NHWC (default) and NCHW are supported.
outputs_collections	The collections to which the outputs are added.
scope	Optional scope for name_scope.

Returns
A Tensor representing the results of the pooling operation.

Raises
ValueError	If data_format is neither NHWC nor NCHW.
ValueError	If 'kernel_size' is not a 2-D list