tf.raw_ops.MaxPool

Performs max pooling on the input.

Compat aliases for migration

tf.compat.v1.raw_ops.MaxPool

tf.raw_ops.MaxPool(
    input, ksize, strides, padding, explicit_paddings=[],
    data_format=&#x27;NHWC', name=None
)

Args
`input`	A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`, `uint16`, `qint8`. 4-D input to pool over.
`ksize`	A list of `ints` that has length `>= 4`. The size of the window for each dimension of the input tensor.
`strides`	A list of `ints` that has length `>= 4`. The stride of the sliding window for each dimension of the input tensor.
`padding`	A `string` from: `"SAME", "VALID", "EXPLICIT"`. The type of padding algorithm to use.
`explicit_paddings`	An optional list of `ints`. Defaults to `[]`.
`data_format`	An optional `string` from: `"NHWC", "NCHW", "NCHW_VECT_C"`. Defaults to `"NHWC"`. Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `input`.

Args