tf.nn.max_pool1d

Performs the max pooling on the input.

tf.nn.max_pool1d(
    input, ksize, strides, padding, data_format='NWC', name=None
)

Note internally this op reshapes and uses the underlying 2d operation.

input A 3-D Tensor of the format specified by data_format.
ksize An int or list of ints that has length 1 or 3. The size of the window for each dimension of the input tensor.
strides An int or list of ints that has length 1 or 3. 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. See here for more information. When explicit padding is used and data_format is "NWC", this should be in the form [[0, 0], [pad_left, pad_right], [0, 0]]. When explicit padding used and data_format is "NCW", this should be in the form [[0, 0], [0, 0], [pad_left, pad_right]]. When using explicit padding, the size of the paddings cannot be greater than the sliding window size.
data_format An optional string from: "NWC", "NCW". Defaults to "NWC".
name A name for the operation (optional).

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