pooling(_:kernelSize:strides:padding:ceilingMode:)
Adds a pooling operation to the current graph.
Declaration
func pooling(_ function: BNNSGraph.Builder.PoolingFunction, kernelSize: [Int], strides: [Int], padding: BNNSGraph.Builder.PoolingPadding, ceilingMode: BNNSGraph.Builder.CeilingMode) -> BNNSGraph.Builder.Tensor<T>Parameters
- function:
An enumeration that specifies the pooling function.
- kernelSize:
The size of the pooling kernel.
- strides:
An array that contains the kernel stride for each spatial dimension.
- padding:
An enumeration that specifies that the operation computes the padding from the input and output shapes. If you specify
custom, pass twice the number of spatial dimensions. - ceilingMode:
An enumeration that specifies how the operation rounds when calculating the output size.
Discussion
This operation assumes the source tensor is in (N, C, spatial dimensions...) format, where the number of spatial dimensions is either 1 or 2