Class that computes the results of the forward local contrast normalization layer in the batch processing mode.
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◆ LcnForwardBatch() [1/2]
Constructs the forward local contrast normalization layer by copying input objects of another forward local contrast normalization layer
- Parameters
-
context | Context to manage the forward local contrast normalization layer |
other | A forward local contrast normalization layer to be used as the source to initialize the input objects of the forward local contrast normalization layer |
◆ LcnForwardBatch() [2/2]
Constructs the forward local contrast normalization layer
- Parameters
-
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, LcnMethod |
◆ clone()
Returns the newly allocated forward local contrast normalization layer with a copy of input objects of this forward local contrast normalization layer
- Parameters
-
context | Context to manage the layer |
- Returns
- The newly allocated forward local contrast normalization layer
◆ compute()
Computes the result of the forward local contrast normalization layer
- Returns
- Forward local contrast normalization layer result
◆ getLayerInput()
Returns the structure that contains input object of the forward layer
- Returns
- Structure that contains input object of the forward layer
◆ getLayerParameter()
Returns the structure that contains parameters of the forward layer
- Returns
- Structure that contains parameters of the forward layer
◆ getLayerResult()
Returns the structure that contains result of the forward layer
- Returns
- Structure that contains result of the forward layer
◆ setResult()
Registers user-allocated memory to store the result of the forward local contrast normalization layer
- Parameters
-
result | Structure to store the result of the forward local contrast normalization layer |
◆ input
◆ method
Computation method for the layer
◆ parameter
LcnParameters of the layer
The documentation for this class was generated from the following file: