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Fix LogSumExp along dimension (#35) 

Signed-off-by: AlexDBlack <blacka101@gmail.com>
master
Alex Black 2019-11-07 23:36:15 +11:00 committed by GitHub
parent 679e42199a
commit 24980efde3
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2 changed files with 21 additions and 0 deletions
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1
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ops/impl/reduce/custom/LogSumExp.java
View File

@ -39,6 +39,7 @@ public class LogSumExp extends DynamicCustomOp {
super(sameDiff, i_v);
if(dimensions != null) {
addIArgument(dimensions);
this.dimensions = dimensions;
}
addTArgument(keepDims ? 1.0 : 0.0);
this.keepDims = keepDims;

20
nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/TransformOpValidation.java
View File

@ -1970,4 +1970,24 @@ public class TransformOpValidation extends BaseOpValidation {
INDArray log = Transforms.log(sum);
assertEquals(log, out);
}
@Test
public void testLogSumExp2(){
for( int dim=0; dim<=2; dim++ ) {
Nd4j.getRandom().setSeed(12345);
INDArray inputArr = Nd4j.rand(DataType.DOUBLE, 3, 4, 5);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var(inputArr);
SDVariable lse = sd.math().logSumExp(in, dim);
INDArray exp = Transforms.exp(inputArr, true);
INDArray sum = exp.sum(dim);
INDArray log = Transforms.log(sum);
OpValidation.validate(new TestCase(sd)
.expectedOutput(lse.name(), log)
.gradientCheck(true));
}
}
}