torch_avg_pool1d: Avg_pool1d
Usage
torch_avg_pool1d(
self,
kernel_size,
stride = list(),
padding = 0L,
ceil_mode = FALSE,
count_include_pad = TRUE
)
Arguments
- self
input tensor of shape \((\mbox{minibatch} , \mbox{in\_channels} , iW)\)
- 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
avg_pool1d(input, kernel_size, stride=NULL, 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 nn_avg_pool1d() for details and output shape.