tf.nn.max_pool3d

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Performs the max pooling on the input.

Aliases:

  • 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.

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