# tensorplay.nn.functional.avg_pool1d

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.avg_pool1d.html

# tensorplay.nn.functional.avg_pool1d

tensorplay.nn.functional.avg_pool1d(input: TensorBase, kernel_size, stride=None, padding=0, ceil_mode: [bool](https://docs.python.org/3/library/functions.html#bool) = False, count_include_pad: [bool](https://docs.python.org/3/library/functions.html#bool) = True, divisor_override=None) → TensorBase[[source]](../_modules/tensorplay/nn/functional.html#avg_pool1d)

avg_pool1d(input, kernel_size, stride=None, padding=0, ceil_mode=False,
count_include_pad=True, divisor_override=None) -> Tensor

Applies a 1D average pooling over an input signal composed of several
input planes. Input shape (N, C, L) or unbatched (C, L).