Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1
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.