Class that computes the results of the local response normalization (lrn) layer in the batch processing mode.
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Constructs the backward local response normalization layer by copying input objects of backward local response normalization layer
- Parameters
-
context | Context to manage the backward local response normalization layer |
other | A backward local response normalization layer to be used as the source to initialize the input objects of the backward local response normalization layer |
Constructs the backward local response normalization layer
- Parameters
-
context | Context to manage the backward local response normalization layer |
cls | Data type to use in intermediate computations for the layer, Double.class or Float.class |
method | The layer computation method, LrnMethod |
Returns the newly allocated backward local response normalization layer with a copy of input objects of this backward local response normalization layer
- Parameters
-
context | Context to manage the layer |
- Returns
- The newly allocated backward local response normalization layer
Computes the result of the backward local response normalization layer
- Returns
- Backward local response normalization layer result
Returns the structure that contains input object of the backward layer
- Returns
- Structure that contains input object of the backward layer
Returns the structure that contains parameters of the backward layer
- Returns
- Structure that contains parameters of the backward layer
Returns the structure that contains result of the backward layer
- Returns
- Structure that contains result of the backward layer
Registers user-allocated memory to store the result of the backward local response normalization layer
- Parameters
-
result | Structure to store the result of the backward local response normalization layer |
Computation method for the layer
LrnParameters of the layer
The documentation for this class was generated from the following file: