Brutex
/
cavis
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fix compiler warnings 

Signed-off-by: brian <brian@brutex.de>
master
Brian Rosenberger 2022-10-05 13:46:28 +02:00
parent 37e1e60603
commit 7bcfa76df4
4 changed files with 7 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
cavis-dnn/cavis-dnn-nn/src/main/java/org/deeplearning4j/eval/BaseEvaluation.java
View File

@ -38,7 +38,7 @@ import com.fasterxml.jackson.databind.module.SimpleModule;
import com.fasterxml.jackson.dataformat.yaml.YAMLFactory;
@Deprecated
@EqualsAndHashCode
@EqualsAndHashCode(callSuper = false)
public abstract class BaseEvaluation<T extends BaseEvaluation> extends org.nd4j.evaluation.BaseEvaluation<T> {
@Getter

2
cavis-dnn/cavis-dnn-nn/src/main/java/org/deeplearning4j/nn/conf/layers/objdetect/Yolo2OutputLayer.java
View File

@ -21,6 +21,7 @@
package org.deeplearning4j.nn.conf.layers.objdetect;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.Getter;
import lombok.Setter;
import org.deeplearning4j.nn.api.Layer;
@ -49,6 +50,7 @@ import java.util.List;
import java.util.Map;
@Data
@EqualsAndHashCode(callSuper = false)
public class Yolo2OutputLayer extends org.deeplearning4j.nn.conf.layers.Layer {
private double lambdaCoord;

6
cavis-dnn/cavis-dnn-nn/src/main/java/org/deeplearning4j/nn/conf/layers/recurrent/SimpleRnn.java
View File

@ -20,10 +20,7 @@
package org.deeplearning4j.nn.conf.layers.recurrent;
import lombok.Data;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
import lombok.*;
import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.api.ParamInitializer;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
@ -40,6 +37,7 @@ import java.util.Collection;
import java.util.Map;
@Data
@EqualsAndHashCode(callSuper = false)
public class SimpleRnn extends BaseRecurrentLayer {
private boolean hasLayerNorm = false;

6
cavis-dnn/cavis-dnn-nn/src/main/java/org/deeplearning4j/nn/conf/memory/LayerMemoryReport.java
View File

@ -20,10 +20,7 @@
package org.deeplearning4j.nn.conf.memory;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import lombok.NonNull;
import lombok.*;
import org.deeplearning4j.nn.conf.CacheMode;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.nd4j.linalg.api.buffer.DataBuffer;
@ -35,6 +32,7 @@ import java.util.Map;
@Data
@AllArgsConstructor
@NoArgsConstructor
@EqualsAndHashCode(callSuper = false)
public class LayerMemoryReport extends MemoryReport {
private String layerName;