Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Class that computes the results of the forward 2D convolution layer in the batch processing mode. More...
| Convolution2dForwardBatch | ( | DaalContext | context, |
| Convolution2dForwardBatch | other | ||
| ) |
Constructs the forward 2D convolution layer by copying input objects of another forward 2D convolution layer
| context | Context to manage the forward 2D convolution layer |
| other | A forward 2D convolution layer to be used as the source to initialize the input objects of the forward 2D convolution layer |
| Convolution2dForwardBatch | ( | DaalContext | context, |
| Class<?extends Number > | cls, | ||
| Convolution2dMethod | method | ||
| ) |
Constructs the forward 2D convolution layer
| context | Context to manage the layer |
| cls | Data type to use in intermediate computations for the layer, Double.class or Float.class |
| method | The layer computation method, Convolution2dMethod |
| Convolution2dForwardBatch clone | ( | DaalContext | context | ) |
Returns the newly allocated forward 2D convolution layer with a copy of input objects of this forward 2D convolution layer
| context | Context to manage the layer |
| Convolution2dForwardResult compute | ( | ) |
Computes the result of the forward 2D convolution layer
| Convolution2dForwardInput getLayerInput | ( | ) |
Returns the structure that contains input object of the forward layer
| Convolution2dParameter getLayerParameter | ( | ) |
Returns the structure that contains parameters of the forward layer
| Convolution2dForwardResult getLayerResult | ( | ) |
Returns the structure that contains result of the forward layer
| void setResult | ( | Convolution2dForwardResult | result | ) |
Registers user-allocated memory to store the result of the forward 2D convolution layer
| result | Structure to store the result of the forward 2D convolution layer |
Input data
| Convolution2dMethod method |
Computation method for the layer
| Convolution2dParameter parameter |
Convolution2dParameters of the layer
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