tf.nn.avg_pool1d

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Performs the average pooling on the input.

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.