tf.contrib.layers.max_pool3d

Adds a 3D Max Pooling op.

tf.contrib.layers.max_pool3d(
    inputs, kernel_size, stride=2, padding='VALID', data_format=DATA_FORMAT_NDHWC,
    outputs_collections=None, scope=None
)

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

Args
inputs	A 5-D tensor of shape [batch_size, depth, height, width, channels] if data_format is NDHWC, and [batch_size, channels, depth, height, width] if data_format is NCDHW.
kernel_size	A list of length 3: [kernel_depth, 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 3: [stride_depth, 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. NDHWC (default) and NCDHW 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 NDHWC nor NCDHW.
ValueError	If 'kernel_size' is not a 3-D list