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=&#x27;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. </td> </tr><tr> <td>`data_format`</td> <td> A string. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported. </td> </tr><tr> <td>`name`</td> <td> Optional name for the operation. </td> </tr><tr> <td>`input`	Alias for value.

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

Args