Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4
Contains classes of the three-dimensional (3D) pooling layers.
Classes | |
class | Pooling3dBackwardInput |
Input object for the backward pooling layer. More... | |
class | Pooling3dBackwardResult |
Provides methods to access results obtained with the compute() method of the backward pooling layer. More... | |
class | Pooling3dForwardInput |
Input object for the forward pooling layer More... | |
class | Pooling3dForwardResult |
Class that provides methods to access the result obtained with the compute() method of the forward pooling layer. More... | |
class | Pooling3dIndices |
Data structure representing the dimension for convolution kernels. More... | |
class | Pooling3dKernelSizes |
Data structure representing the size of the three-dimensional subtensor. More... | |
class | Pooling3dPaddings |
Data structure representing the number of data elements to implicitly add to each size of the three-dimensional subtensor on which pooling is performed. More... | |
class | Pooling3dParameter |
Class that specifies parameters of the pooling layer. More... | |
class | Pooling3dStrides |
Data structure representing the intervals on which the subtensors for pooling are selected. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.