tf.nn.max_pool

Performs the max pooling on the input.

Compat aliases for migration

See Migration guide for more details.

tf.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`	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.
`input`	Alias for value.

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

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Last updated 2020-10-01 UTC.

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