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javadoc and remove deprecated methods. (#231) 

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
master
Robert Altena 2019-09-04 12:29:02 +09:00 committed by Alex Black
parent dddc8a1143
commit 25b01f7850
6 changed files with 14 additions and 233 deletions
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82
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArray.java
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@ -1149,16 +1149,6 @@ public abstract class BaseNDArray implements INDArray, Iterable {
setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape(), stride(), elementWiseStride(), order, this.dataType(), isEmpty()));
}
@Override
public void setShape(long[] shape) {
setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride(), elementWiseStride(), ordering(), this.dataType(), isEmpty()));
}
@Override
public void setStride(long[] stride) {
setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape(), stride, elementWiseStride(), ordering(), this.dataType(), isEmpty()));
}
@Override
public void setShapeAndStride(int[] shape, int[] stride) {
setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(ArrayUtil.toLongArray(shape), ArrayUtil.toLongArray(stride), 0, ordering(), this.dataType(), false));
@ -1283,29 +1273,16 @@ public abstract class BaseNDArray implements INDArray, Iterable {
return scalar.getDouble(0);
}
/**
* Returns entropy value for this INDArray
* @return
*/
@Override
public Number entropyNumber() {
return entropy(Integer.MAX_VALUE).getDouble(0);
}
/**
* Returns non-normalized Shannon entropy value for this INDArray
* @return
*/
@Override
public Number shannonEntropyNumber() {
return shannonEntropy(Integer.MAX_VALUE).getDouble(0);
}
/**
* Returns log entropy value for this INDArray
* @return
*/
@Override
public Number logEntropyNumber() {
return logEntropy(Integer.MAX_VALUE).getDouble(0);
@ -2297,37 +2274,6 @@ public abstract class BaseNDArray implements INDArray, Iterable {
return size(0);
}
@Override
public INDArray subArray(long[] offsets, int[] shape, int[] stride) {
Nd4j.getCompressor().autoDecompress(this);
int n = shape.length;
// FIXME: shapeInfo should be used here
if (shape.length < 1)
return create(Nd4j.createBufferDetached(shape));
if (offsets.length != n)
throw new IllegalArgumentException("Invalid offset " + Arrays.toString(offsets));
if (stride.length != n)
throw new IllegalArgumentException("Invalid stride " + Arrays.toString(stride));
if (Shape.contentEquals(shape, shapeOf())) {
if (ArrayUtil.isZero(offsets)) {
return this;
} else {
throw new IllegalArgumentException("Invalid subArray offsets");
}
}
long[] dotProductOffsets = offsets;
int[] dotProductStride = stride;
long offset = Shape.offset(jvmShapeInfo.javaShapeInformation) + NDArrayIndex.offset(dotProductStride, dotProductOffsets);
if (offset >= data().length())
offset = ArrayUtil.sumLong(offsets);
return create(data, Arrays.copyOf(shape, shape.length), stride, offset, ordering());
}
protected INDArray create(DataBuffer buffer) {
return Nd4j.create(buffer);
}
@ -4016,58 +3962,30 @@ public abstract class BaseNDArray implements INDArray, Iterable {
return Nd4j.getExecutioner().exec(new AMin(this, dimension));
}
/**
* Returns the sum along the specified dimension(s) of this ndarray
*
* @param dimension the dimension to getScalar the sum along
* @return the sum along the specified dimension of this ndarray
*/
@Override
public INDArray sum(int... dimension) {
validateNumericalArray("sum", true);
return Nd4j.getExecutioner().exec(new Sum(this, dimension));
}
/**
* Returns the sum along the last dimension of this ndarray
*
* @param dimension the dimension to getScalar the sum along
* @return the sum along the specified dimension of this ndarray
*/
@Override
public INDArray sum(boolean keepDim, int... dimension) {
validateNumericalArray("sum", true);
return Nd4j.getExecutioner().exec(new Sum(this, null, keepDim, dimension));
}
/**
* Returns entropy along dimension
* @param dimension
* @return
*/
@Override
public INDArray entropy(int... dimension) {
validateNumericalArray("entropy", false);
return Nd4j.getExecutioner().exec(new Entropy(this, dimension));
}
/**
* Returns non-normalized Shannon entropy along dimension
* @param dimension
* @return
*/
@Override
public INDArray shannonEntropy(int... dimension) {
validateNumericalArray("shannonEntropy", false);
return Nd4j.getExecutioner().exec(new ShannonEntropy(this, dimension));
}
/**
* Returns log entropy along dimension
* @param dimension
* @return
*/
@Override
public INDArray logEntropy(int... dimension) {
validateNumericalArray("logEntropy", false);

40
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseSparseNDArray.java
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@ -468,16 +468,6 @@ public abstract class BaseSparseNDArray implements ISparseNDArray {
throw new UnsupportedOperationException();
}
@Override
public void setStride(long... stride) {
throw new UnsupportedOperationException();
}
@Override
public void setShape(long... shape) {
throw new UnsupportedOperationException();
}
@Override
public INDArray putScalar(long row, long col, double value) {
return null;
@ -1284,17 +1274,10 @@ public abstract class BaseSparseNDArray implements ISparseNDArray {
@Override
public void setShapeAndStride(int[] shape, int[] stride) {
}
@Override
public void setOrder(char order) {
}
@Override
public INDArray subArray(long[] offsets, int[] shape, int[] stride) {
return null;
}
@Override
@ -1842,49 +1825,26 @@ public abstract class BaseSparseNDArray implements ISparseNDArray {
return null;
}
/**
* Returns entropy value for this INDArray
* @return
*/
@Override
public Number entropyNumber() {
return entropy(Integer.MAX_VALUE).getDouble(0);
}
/**
* Returns non-normalized Shannon entropy value for this INDArray
* @return
*/
@Override
public Number shannonEntropyNumber() {
return shannonEntropy(Integer.MAX_VALUE).getDouble(0);
}
/**
* Returns log entropy value for this INDArray
* @return
*/
@Override
public Number logEntropyNumber() {
return logEntropy(Integer.MAX_VALUE).getDouble(0);
}
/**
* Returns entropy along dimension
* @param dimension
* @return
*/
@Override
public INDArray entropy(int... dimension) {
return Nd4j.getExecutioner().exec(new Entropy(this, dimension));
}
/**
* Returns non-normalized Shannon entropy along dimension
* @param dimension
* @return
*/
@Override
public INDArray shannonEntropy(int... dimension) {
return Nd4j.getExecutioner().exec(new ShannonEntropy(this, dimension));

17
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseSparseNDArrayCOO.java
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@ -1016,13 +1016,6 @@ public class BaseSparseNDArrayCOO extends BaseSparseNDArray {
return extendedFlags;
}
@Override
public INDArray subArray(long[] offsets, int[] shape, int[] stride) {
throw new UnsupportedOperationException();
}
/**
* Returns the underlying indices of the element of the given index
* such as there really are in the original ndarray
@ -1138,16 +1131,6 @@ public class BaseSparseNDArrayCOO extends BaseSparseNDArray {
return null;
}
@Override
public void setStride(long... stride) {
}
@Override
public void setShape(long... shape) {
}
/**
* This method returns true if this INDArray is special case: no-value INDArray
*

5
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseSparseNDArrayCSR.java
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@ -213,11 +213,6 @@ public abstract class BaseSparseNDArrayCSR extends BaseSparseNDArray {
return shapeInformation;
}
@Override
public INDArray subArray(long[] offsets, int[] shape, int[] stride) {
throw new UnsupportedOperationException();
}
@Override
public boolean equals(Object o) {
//TODO use op

52
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/INDArray.java
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@ -1854,63 +1854,47 @@ public interface INDArray extends Serializable, AutoCloseable {
/**
* Returns entropy value for this INDArray
* @return
* @return entropy value
*/
Number entropyNumber();
/**
* Returns non-normalized Shannon entropy value for this INDArray
* @return
* @return non-normalized Shannon entropy
*/
Number shannonEntropyNumber();
/**
* Returns log entropy value for this INDArray
* @return
* @return log entropy value
*/
Number logEntropyNumber();
/**
* Returns entropy value for this INDArray along specified dimension(s)
* @return
* @param dimension specified dimension(s)
* @return entropy value
*/
INDArray entropy(int... dimension);
/**
* Returns entropy value for this INDArray along specified dimension(s)
* @return
* Returns Shannon entropy value for this INDArray along specified dimension(s)
* @param dimension specified dimension(s)
* @return Shannon entropy
*/
INDArray shannonEntropy(int... dimension);
/**
* Returns entropy value for this INDArray along specified dimension(s)
* @return
* Returns log entropy value for this INDArray along specified dimension(s)
* @param dimension specified dimension(s)
* @return log entropy value
*/
INDArray logEntropy(int... dimension);
/**
* stride setter
* @param stride
* @deprecated, use {@link #reshape(int...) }
*/
@Deprecated
void setStride(long... stride);
/**
* Shape setter
* @param shape
* @deprecated, use {@link #reshape(int...) }
*/
@Deprecated
void setShape(long... shape);
/**
* Shape and stride setter
* @param shape
* @param stride
* @param shape new value for shape
* @param stride new value for stride
*/
void setShapeAndStride(int[] shape, int[] stride);
@ -1919,15 +1903,7 @@ public interface INDArray extends Serializable, AutoCloseable {
* @param order the ordering to set
*/
void setOrder(char order);
/**
* @param offsets
* @param shape
* @param stride
* @return
*/
INDArray subArray(long[] offsets, int[] shape, int[] stride);
/**
* Returns the elements at the specified indices
*

51
nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/indexing/NDArrayIndex.java
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@ -96,57 +96,6 @@ public abstract class NDArrayIndex implements INDArrayIndex {
return offset(arr.stride(), Indices.offsets(arr.shape(), indices));
}
/**
* Set the shape and stride for
* new axes based dimensions
* @param arr the array to update
* the shape/strides for
* @param indexes the indexes to update based on
*/
public static void updateForNewAxes(INDArray arr, INDArrayIndex... indexes) {
int numNewAxes = NDArrayIndex.numNewAxis(indexes);
if (numNewAxes >= 1 && (indexes[0].length() > 1 || indexes[0] instanceof NDArrayIndexAll)) {
List<Long> newShape = new ArrayList<>();
List<Long> newStrides = new ArrayList<>();
int currDimension = 0;
for (int i = 0; i < indexes.length; i++) {
if (indexes[i] instanceof NewAxis) {
newShape.add(1L);
newStrides.add(0L);
} else {
newShape.add(arr.size(currDimension));
newStrides.add(arr.size(currDimension));
currDimension++;
}
}
while (currDimension < arr.rank()) {
newShape.add((long) currDimension);
newStrides.add((long) currDimension);
currDimension++;
}
long[] newShapeArr = Longs.toArray(newShape);
long[] newStrideArr = Longs.toArray(newStrides);
// FIXME: this is wrong, it breaks shapeInfo immutability
arr.setShape(newShapeArr);
arr.setStride(newStrideArr);
} else {
if (numNewAxes > 0) {
long[] newShape = Longs.concat(ArrayUtil.toLongArray(ArrayUtil.nTimes(numNewAxes, 1)), arr.shape());
long[] newStrides = Longs.concat(new long[numNewAxes], arr.stride());
arr.setShape(newShape);
arr.setStride(newStrides);
}
}
}
/**
* Compute the offset given an array of offsets.
* The offset is computed(for both fortran an d c ordering) as: