Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3
Class that computes the results of the 2D convolution layer in the batch processing mode. More...
Convolution2dBackwardBatch | ( | DaalContext | context, |
Convolution2dBackwardBatch | other | ||
) |
Constructs the backward 2D convolution layer by copying input objects of backward 2D convolution layer
context | Context to manage the backward 2D convolution layer |
other | A backward 2D convolution layer to be used as the source to initialize the input objects of the backward 2D convolution layer |
Convolution2dBackwardBatch | ( | DaalContext | context, |
Class<?extends Number > | cls, | ||
Convolution2dMethod | method | ||
) |
Constructs the backward 2D convolution layer
context | Context to manage the backward 2D convolution layer |
cls | Data type to use in intermediate computations for the layer, Double.class or Float.class |
method | The layer computation method, Convolution2dMethod |
Convolution2dBackwardBatch clone | ( | DaalContext | context | ) |
Returns the newly allocated backward 2D convolution layer with a copy of input objects of this backward 2D convolution layer
context | Context to manage the layer |
Convolution2dBackwardResult compute | ( | ) |
Computes the result of the backward 2D convolution layer
Convolution2dBackwardInput getLayerInput | ( | ) |
Returns the structure that contains input object of the backward layer
Convolution2dParameter getLayerParameter | ( | ) |
Returns the structure that contains parameters of the backward layer
Convolution2dBackwardResult getLayerResult | ( | ) |
Returns the structure that contains result of the backward layer
void setResult | ( | Convolution2dBackwardResult | result | ) |
Registers user-allocated memory to store the result of the backward 2D convolution layer
result | Structure to store the result of the backward 2D convolution layer |
Input data
Convolution2dMethod method |
Computation method for the layer
Convolution2dParameter parameter |
Convolution2dParameters of the layer
For more complete information about compiler optimizations, see our Optimization Notice.