C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
2D convolution layer parameters More...
Parameter | ( | ) |
Default constructor
size_t groupDimension |
Dimension for which the grouping is applied. groupDimension=1 is supported now
Indices indices |
Data structure representing the dimension for convolution kernels. (2,3) is supported now
KernelSizes kernelSizes |
Data structure representing the sizes of the two-dimensional kernel subtensor
size_t nGroups |
Number of groups which the input data is split in groupDimension dimension
size_t nKernels |
Number of kernels applied to the input layer data
Paddings paddings |
Data structure representing the number of data to be implicitly added to the subtensor
Strides strides |
Data structure representing the intervals on which the kernel should be applied to the input
For more complete information about compiler optimizations, see our Optimization Notice.