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tf.nn.avg_pool1d

TensorFlow 2.0 version View source on GitHub

Performs the average pooling on the input.

Aliases:

  • tf.compat.v1.nn.avg_pool1d
  • tf.compat.v2.nn.avg_pool1d
tf.nn.avg_pool1d(
    input,
    ksize,
    strides,
    padding,
    data_format='NWC',
    name=None
)

Each entry in output is the mean of the corresponding size ksize window in value.

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.