tf.nn.max_pool1d

Performs the max pooling on the input.

Compat aliases for migration

See Migration guide for more details.

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

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

Args
`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. 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).

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

Args