|
Change Parameter Type isMiniBatch : boolean to epsilon : double in method public BatchNormDerivative(sameDiff SameDiff, inputFunctions SDVariable[], inputArrays INDArray[], outputArrays INDArray[], inPlace boolean, applyGamma boolean, applyBeta boolean, epsilon double) in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative |
From |
To |
|
Change Parameter Type isMiniBatch : boolean to epsilon : double in method public batchNorm(name String, input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Change Parameter Type isMiniBatch : boolean to epsilon : double in method public batchNorm(input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter isLockGammaBeta : boolean to applyBeta : boolean in method public batchNorm(input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter isMiniBatch : boolean to epsilon : double in method public batchNorm(name String, input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter isMiniBatch : boolean to epsilon : double in method public batchNorm(input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter isLockGammaBeta : boolean to applyBeta : boolean in method public BatchNormDerivative(sameDiff SameDiff, inputFunctions SDVariable[], inputArrays INDArray[], outputArrays INDArray[], inPlace boolean, applyGamma boolean, applyBeta boolean, epsilon double) in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative |
From |
To |
|
Rename Parameter training : boolean to applyGamma : boolean in method public batchNorm(input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter isMiniBatch : boolean to epsilon : double in method public BatchNormDerivative(sameDiff SameDiff, inputFunctions SDVariable[], inputArrays INDArray[], outputArrays INDArray[], inPlace boolean, applyGamma boolean, applyBeta boolean, epsilon double) in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative |
From |
To |
|
Rename Parameter isLockGammaBeta : boolean to applyBeta : boolean in method public batchNorm(name String, input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter training : boolean to applyGamma : boolean in method public batchNorm(name String, input SDVariable, mean SDVariable, variance SDVariable, gamma SDVariable, beta SDVariable, applyGamma boolean, applyBeta boolean, epsilon double) : SDVariable in class org.nd4j.autodiff.samediff.SameDiff |
From |
To |
|
Rename Parameter training : boolean to applyGamma : boolean in method public BatchNormDerivative(sameDiff SameDiff, inputFunctions SDVariable[], inputArrays INDArray[], outputArrays INDArray[], inPlace boolean, applyGamma boolean, applyBeta boolean, epsilon double) in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative |
From |
To |