OpAvgPoolExtensions (DiffSharp)

OpAvgPoolExtensions Module

Namespace: DiffSharp
Assembly: DiffSharp.Core.dll

Type extensions

Type extension	Description
`this.avgpool1d (kernelSize, ?stride, ?padding)` Full Usage: `this.avgpool1d (kernelSize, ?stride, ?padding)` Parameters: kernelSize : `int` - The size of the window to take a max over. ?stride : `int` - The stride of the window. Default value is kernelSize. ?padding : `int` - The implicit zero padding to be added on both sides. Returns: `Tensor`	Applies a 1D average pooling over an input signal composed of several input planes, returning the max indices along with the outputs. Extended Type: `Tensor` kernelSize : `int` The size of the window to take a max over. ?stride : `int` The stride of the window. Default value is kernelSize. ?padding : `int` The implicit zero padding to be added on both sides. Returns: `Tensor`
`dsharp.avgpool1d (input, kernelSize, ?stride, ?padding)` Full Usage: `dsharp.avgpool1d (input, kernelSize, ?stride, ?padding)` Parameters: input : `Tensor` - The input tensor. kernelSize : `int` - The size of the window to take a max over. ?stride : `int` - The stride of the window. Default value is kernelSize. ?padding : `int` - The implicit zero padding to be added on both sides. Returns: `Tensor`	Applies a 1D average pooling over an input signal composed of several input planes, returning the max indices along with the outputs. Extended Type: `dsharp` input : `Tensor` The input tensor. kernelSize : `int` The size of the window to take a max over. ?stride : `int` The stride of the window. Default value is kernelSize. ?padding : `int` The implicit zero padding to be added on both sides. Returns: `Tensor`
`this.avgpool2d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Full Usage: `this.avgpool2d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Parameters: ?kernelSize : `int` - The size of the window to take a max over. ?stride : `int` - The stride of the window. Default value is kernelSize. ?padding : `int` - The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` - The sizes of the window to take a max over. ?strides : `seq<int>` - The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` - The implicit zero paddings to be added on both sides. Returns: `Tensor`	Applies a 1D average pooling over an input signal composed of several input planes, returning the max indices along with the outputs. Extended Type: `Tensor` ?kernelSize : `int` The size of the window to take a max over. ?stride : `int` The stride of the window. Default value is kernelSize. ?padding : `int` The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` The sizes of the window to take a max over. ?strides : `seq<int>` The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` The implicit zero paddings to be added on both sides. Returns: `Tensor`
`dsharp.avgpool2d (input, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Full Usage: `dsharp.avgpool2d (input, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Parameters: input : `Tensor` - The input tensor. ?kernelSize : `int` - The size of the window to take a max over. ?stride : `int` - The stride of the window. Default value is kernelSize. ?padding : `int` - The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` - The sizes of the window to take a max over. ?strides : `seq<int>` - The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` - The implicit zero paddings to be added on both sides. Returns: `Tensor`	Applies a 2D average pooling over an input signal composed of several input planes, returning the max indices along with the outputs. Extended Type: `dsharp` input : `Tensor` The input tensor. ?kernelSize : `int` The size of the window to take a max over. ?stride : `int` The stride of the window. Default value is kernelSize. ?padding : `int` The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` The sizes of the window to take a max over. ?strides : `seq<int>` The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` The implicit zero paddings to be added on both sides. Returns: `Tensor`
`this.avgpool3d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Full Usage: `this.avgpool3d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Parameters: ?kernelSize : `int` - The size of the window to take a max over. ?stride : `int` - The stride of the window. Default value is kernelSize. ?padding : `int` - The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` - The sizes of the window to take a max over. ?strides : `seq<int>` - The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` - The implicit zero paddings to be added on both sides. Returns: `Tensor`	Applies a 3D average pooling over an input signal composed of several input planes, returning the max indices along with the outputs. Extended Type: `Tensor` ?kernelSize : `int` The size of the window to take a max over. ?stride : `int` The stride of the window. Default value is kernelSize. ?padding : `int` The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` The sizes of the window to take a max over. ?strides : `seq<int>` The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` The implicit zero paddings to be added on both sides. Returns: `Tensor`
`dsharp.avgpool3d (input, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Full Usage: `dsharp.avgpool3d (input, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)` Parameters: input : `Tensor` - The input tensor. ?kernelSize : `int` - The size of the window to take a max over. ?stride : `int` - The stride of the window. Default value is kernelSize. ?padding : `int` - The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` - The sizes of the window to take a max over. ?strides : `seq<int>` - The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` - The implicit zero paddings to be added on both sides. Returns: `Tensor`	Applies a 2D average pooling over an input signal composed of several input planes, returning the max indices along with the outputs. Extended Type: `dsharp` input : `Tensor` The input tensor. ?kernelSize : `int` The size of the window to take a max over. ?stride : `int` The stride of the window. Default value is kernelSize. ?padding : `int` The implicit zero padding to be added on both sides. ?kernelSizes : `seq<int>` The sizes of the window to take a max over. ?strides : `seq<int>` The strides of the window. Default value is kernelSize. ?paddings : `seq<int>` The implicit zero paddings to be added on both sides. Returns: `Tensor`