tf.raw_ops.MaxPool

Performs max pooling on the input.

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

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).

A Tensor. Has the same type as input.