* fix #7983 Signed-off-by: Robert Altena <Rob@Ra-ai.com> * small fix. Signed-off-by: Robert Altena <Rob@Ra-ai.com> * fix javadoc. Signed-off-by: Robert Altena <Rob@Ra-ai.com>master
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@ -343,9 +343,8 @@ public class Nd4j {
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/**
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* Append the given
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* array with the specified value size
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* along a particular axis
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* Append the given array with the specified value size along a particular axis.
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* The prepend method has the same signature and prepends the given array.
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* @param arr the array to append to
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* @param padAmount the pad amount of the array to be returned
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* @param val the value to append
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@ -353,6 +352,22 @@ public class Nd4j {
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* @return the newly created array
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*/
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public static INDArray append(INDArray arr, int padAmount, double val, int axis) {
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return appendImpl(arr, padAmount, val, axis, true);
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}
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/**
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* @see #append(INDArray, int, double, int)
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*/
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public static INDArray prepend(INDArray arr, int padAmount, double val, int axis) {
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return appendImpl(arr, padAmount, val, axis, false);
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}
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/**
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* Append / Prepend shared implementation.
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* @param appendFlag flag to determine Append / Prepend.
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* @see #append(INDArray, int, double, int)
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*/
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private static INDArray appendImpl(INDArray arr, int padAmount, double val, int axis, boolean appendFlag){
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if (padAmount == 0)
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return arr;
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long[] paShape = ArrayUtil.copy(arr.shape());
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@ -360,29 +375,7 @@ public class Nd4j {
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axis = axis + arr.shape().length;
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paShape[axis] = padAmount;
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INDArray concatArray = Nd4j.valueArrayOf(paShape, val, arr.dataType());
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return Nd4j.concat(axis, arr, concatArray);
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}
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/**
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* Append the given
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* array with the specified value size
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* along a particular axis
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* @param arr the array to append to
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* @param padAmount the pad amount of the array to be returned
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* @param val the value to append
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* @param axis the axis to append to
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* @return the newly created array
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*/
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public static INDArray prepend(INDArray arr, int padAmount, double val, int axis) {
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if (padAmount == 0)
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return arr;
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long[] paShape = ArrayUtil.copy(arr.shape());
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if (axis < 0)
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axis = axis + arr.shape().length;
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paShape[axis] = padAmount;
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INDArray concatArr = Nd4j.valueArrayOf(paShape, val, arr.dataType());
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return Nd4j.concat(axis, concatArr, arr);
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return appendFlag ? Nd4j.concat(axis, arr, concatArray) : Nd4j.concat(axis, concatArray, arr);
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}
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/**
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