Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes of the two-dimensional (2D) transposed convolution layer.
Classes | |
| class | TransposedConv2dBackwardBatch |
| Class that computes the results of the 2D transposed convolution layer in the batch processing mode. More... | |
| class | TransposedConv2dBackwardInput |
| Input object for the backward 2D transposed convolution layer. More... | |
| class | TransposedConv2dBackwardResult |
| Provides methods to access results obtained with the compute() method of the backward 2D transposed convolution layer. More... | |
| class | TransposedConv2dBatch |
| Provides methods for the 2D transposed convolution layer in the batch processing mode. More... | |
| class | TransposedConv2dForwardBatch |
| Class that computes the results of the forward 2D transposed convolution layer in the batch processing mode. More... | |
| class | TransposedConv2dForwardInput |
| Input object for the forward 2D transposed convolution layer More... | |
| class | TransposedConv2dForwardResult |
| Class that provides methods to access the result obtained with the compute() method of the forward 2D transposed convolution layer. More... | |
| class | TransposedConv2dIndices |
| Data structure representing the dimension for convolution kernels. More... | |
| class | TransposedConv2dKernelSize |
| Data structure representing the sizes of the two-dimensional kernel subtensor for the backward 2D transposed convolution layer and results for the forward 2D transposed convolution layer. More... | |
| class | TransposedConv2dLayerDataId |
| Identifiers of input objects for the backward 2D transposed convolution layer and results for the forward 2D transposed convolution layer. More... | |
| class | TransposedConv2dMethod |
| Available methods for the 2D transposed convolution layer. More... | |
| class | TransposedConv2dPadding |
| Data structure representing the number of data to be implicitly added to the subtensor. More... | |
| class | TransposedConv2dParameter |
| Class that specifies parameters of the 2D transposed convolution layer. More... | |
| class | TransposedConv2dStride |
| Data structure representing the intervals on which the kernel should be applied to the input. More... | |
| class | TransposedConv2dValueSizes |
| Data structure representing the sizes of the two-dimensional value subtensor for the backward 2D transposed convolution layer and results for the forward 2D transposed convolution layer. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.