tf.nn.max_pool3d

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Performs the max pooling on the input.

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.