tf.nn.max_pool2d

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Performs the max pooling on the input.

tf.nn.max_pool2d(
    input, ksize, strides, padding, data_format='NHWC', name=None
)

Args:

• input: A 4-D Tensor of the format specified by data_format.
• ksize: An int or list of ints that has length 1, 2 or 4. The size of the window for each dimension of the input tensor.
• strides: An int or list of ints that has length 1, 2 or 4. 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: A string. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported.
• name: Optional name for the operation.

Returns:

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