tf.nn.max_pool1d

TensorFlow 1 version View source on GitHub

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.

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: A string, either 'VALID' or 'SAME'. The padding algorithm. See the "returns" section of tf.nn.convolution for details.
  • 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.

Compat aliases