C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
2D transposed 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
| ValueSizes valueSizes |
Data structure representing the dimension sizes of value tensor Y. If this value contains (0, 0) the size of value dimensions will be computed automatically.
For more complete information about compiler optimizations, see our Optimization Notice.