tf.compat.v1.nn.max_pool

Performs the max pooling on the input.

tf.compat.v1.nn.max_pool(
    value,
    ksize,
    strides,
    padding,
    data_format='NHWC',
    name=None,
    input=None
)

Args
`value`	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`	Either the `string` `"SAME"` or `"VALID"` indicating the type of padding algorithm to use, or a list indicating the explicit paddings at the start and end of each dimension. When explicit padding is used and data_format is `"NHWC"`, this should be in the form `[[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]]`. When explicit padding used and data_format is `"NCHW"`, this should be in the form `[[0, 0], [0, 0], [pad_top, pad_bottom], [pad_left, pad_right]]`. When using explicit padding, the size of the paddings cannot be greater than the sliding window size.
`data_format`	A string. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported.
`name`	Optional name for the operation.
`input`	Alias for value.

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

Args