tf.nn.max_pool3d

Performs the max pooling on the input.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.max_pool3d, `tf.compat.v2.nn.max_pool3d`

tf.nn.max_pool3d(
    input, ksize, strides, padding, data_format='NDHWC', name=None
)

Args
`input`	A 5-D `Tensor` of the format specified by `data_format`.
`ksize`	An int or list of `ints` that has length `1`, `3` or `5`. The size of the window for each dimension of the input tensor.
`strides`	An int or list of `ints` that has length `1`, `3` or `5`. The stride of the sliding window for each dimension of the input tensor.
`padding`	A string, either `'VALID'` or `'SAME'`. The padding algorithm. See the "returns" section of `tf.nn.convolution` for details.
`data_format`	An optional string from: "NDHWC", "NCDHW". Defaults to "NDHWC". The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].
`name`	A name for the operation (optional).

Returns
A `Tensor` of format specified by `data_format`. The max pooled output tensor.

Args