pytorch / 2 / generated / torch.nn.functional.avg_pool1d.html

torch.nn.functional.avg_pool1d

torch.nn.functional.avg_pool1d(input, kernel_size, stride=None, padding=0, ceil_mode=False, count_include_pad=True) → Tensor

Applies a 1D average pooling over an input signal composed of several input planes.

See AvgPool1d for details and output shape.

Parameters
  • input – input tensor of shape ( minibatch , in_channels , i W ) (\text{minibatch} , \text{in\_channels} , iW)
  • kernel_size – the size of the window. Can be a single number or a tuple (kW,)
  • stride – the stride of the window. Can be a single number or a tuple (sW,). Default: kernel_size
  • padding – implicit zero paddings on both sides of the input. Can be a single number or a tuple (padW,). Default: 0
  • ceil_mode – when True, will use ceil instead of floor to compute the output shape. Default: False
  • count_include_pad – when True, will include the zero-padding in the averaging calculation. Default: True

Examples:

>>> # pool of square window of size=3, stride=2
>>> input = torch.tensor([[[1, 2, 3, 4, 5, 6, 7]]], dtype=torch.float32)
>>> F.avg_pool1d(input, kernel_size=3, stride=2)
tensor([[[ 2.,  4.,  6.]]])

© 2024, PyTorch Contributors
PyTorch has a BSD-style license, as found in the LICENSE file.
https://pytorch.org/docs/2.1/generated/torch.nn.functional.avg_pool1d.html