Java Code Examples for org.nd4j.linalg.api.ndarray.INDArray#isSparse()
The following examples show how to use
org.nd4j.linalg.api.ndarray.INDArray#isSparse() .
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Example 1
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* computes the Euclidean norm of a vector.
*
* @param arr
* @return
*/
@Override
public double nrm2(INDArray arr) {
if (arr.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().nrm2(arr);
}
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, arr);
if (arr.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().nrm2(arr);
}
if (arr.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, arr);
return dnrm2(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, arr);
return snrm2(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
}
// TODO: add nrm2 for half, as call to appropriate NativeOp<HALF>
}
Example 2
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
*
* @param arr
* @return
*/
@Override
public double asum(INDArray arr) {
if (arr.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().asum(arr);
}
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, arr);
if (arr.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, arr);
return dasum(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
} else if (arr.data().dataType() == DataBuffer.Type.FLOAT) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, arr);
return sasum(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.HALF, arr);
return hasum(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
}
}
Example 3
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* finds the element of a
* vector that has the largest absolute value.
*
* @param arr
* @return
*/
@Override
public int iamax(INDArray arr) {
if (arr.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().iamax(arr);
}
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, arr);
if (arr.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, arr);
return idamax(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, arr);
return isamax(arr.length(), arr, BlasBufferUtil.getBlasStride(arr));
}
}
Example 4
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* swaps a vector with another vector.
*
* @param x
* @param y
*/
@Override
public void swap(INDArray x, INDArray y) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, x, y);
if (x.isSparse() || y.isSparse()) {
Nd4j.getSparseBlasWrapper().level1().swap(x, y);
return;
}
if (x.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, x, y);
dswap(x.length(), x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, x, y);
sswap(x.length(), x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
}
}
Example 5
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* swaps a vector with another vector.
*
* @param x
* @param y
*/
@Override
public void copy(INDArray x, INDArray y) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, x, y);
if (x.isSparse() || y.isSparse()) {
Nd4j.getSparseBlasWrapper().level1().copy(x, y);
return;
}
if (x.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, x, y);
dcopy(x.length(), x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, x, y);
scopy(x.length(), x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
}
}
Example 6
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* computes a vector-scalar product and adds the result to a vector.
*
* @param n
* @param alpha
* @param x
* @param y
*/
@Override
public void axpy(long n, double alpha, INDArray x, INDArray y) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, x, y);
if (x.isSparse() && !y.isSparse()) {
Nd4j.getSparseBlasWrapper().level1().axpy(n, alpha, x, y);
} else if (x.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, x, y);
daxpy(n, alpha, x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
} else if (x.data().dataType() == DataBuffer.Type.FLOAT) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, x, y);
saxpy(n, (float) alpha, x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.HALF, x, y);
haxpy(n, (float) alpha, x, BlasBufferUtil.getBlasStride(x), y, BlasBufferUtil.getBlasStride(y));
}
}
Example 7
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 6 votes |
|
/**
* performs rotation of points in the plane.
*
* @param N
* @param X
* @param Y
* @param c
* @param s
*/
@Override
public void rot(long N, INDArray X, INDArray Y, double c, double s) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, X, Y);
if (X.isSparse() && !Y.isSparse()) {
Nd4j.getSparseBlasWrapper().level1().rot(N, X, Y, c, s);
} else if (X.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, X, Y);
drot(N, X, BlasBufferUtil.getBlasStride(X), Y, BlasBufferUtil.getBlasStride(X), c, s);
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, X, Y);
srot(N, X, BlasBufferUtil.getBlasStride(X), Y, BlasBufferUtil.getBlasStride(X), (float) c, (float) s);
}
}
Example 8
| Source File: SparseCOOLevel1Test.java From nd4j with Apache License 2.0 | 5 votes |
|
@Test
public void shouldComputeRotWithFullVector() {
// try with dense vectors to get the expected result
/*
INDArray temp1 = Nd4j.create( new double[] {1 ,2, 3, 4});
INDArray temp2 = Nd4j.create( new double[] {1 ,2, 3, 4});
System.out.println("before: " + temp1.data() + " " + temp2.data());
Nd4j.getBlasWrapper().level1().rot(temp1.length(), temp1, temp2, 1, 2);
System.out.println("after: " + temp1.data() + " " + temp2.data());
*/
//before: [1.0,2.0,3.0,4.0] [1.0,2.0,3.0,4.0]
// after: [3.0,6.0,0.0,12.0] [-1.0,-2.0,-3.0,-4.0]
int[] cols = {0, 1, 2, 3};
double[] values = {1, 2, 3, 4};
INDArray sparseVec = Nd4j.createSparseCOO(data, indexes, shape);
INDArray vec = Nd4j.create(new double[] {1, 2, 3, 4});
Nd4j.getBlasWrapper().level1().rot(vec.length(), sparseVec, vec, 1, 2);
INDArray expectedSparseVec = Nd4j.createSparseCSR(new double[] {3, 6, 9, 12}, new int[] {0, 1, 2, 3},
new int[] {0}, new int[] {4}, new int[] {1, 4});
INDArray expectedVec = Nd4j.create(new double[] {-1, -2, -3, -4});
assertEquals(getFailureMessage(), expectedSparseVec.data(), sparseVec.data());
assertEquals(getFailureMessage(), expectedVec, vec);
if (expectedSparseVec.isSparse() && sparseVec.isSparse()) {
BaseSparseNDArray vec2 = ((BaseSparseNDArray) expectedSparseVec);
BaseSparseNDArray vecSparse2 = ((BaseSparseNDArray) sparseVec);
assertEquals(getFailureMessage(), vec2.getVectorCoordinates(), vecSparse2);
}
}
Example 9
| Source File: SparseCSRLevel1Test.java From nd4j with Apache License 2.0 | 5 votes |
|
@Test
public void shouldComputeRotWithFullVector() {
// try with dense vectors to get the expected result
/*
INDArray temp1 = Nd4j.create( new double[] {1 ,2, 3, 4});
INDArray temp2 = Nd4j.create( new double[] {1 ,2, 3, 4});
System.out.println("before: " + temp1.data() + " " + temp2.data());
Nd4j.getBlasWrapper().level1().rot(temp1.length(), temp1, temp2, 1, 2);
System.out.println("after: " + temp1.data() + " " + temp2.data());
*/
//before: [1.0,2.0,3.0,4.0] [1.0,2.0,3.0,4.0]
// after: [3.0,6.0,0.0,12.0] [-1.0,-2.0,-3.0,-4.0]
int[] cols = {0, 1, 2, 3};
double[] values = {1, 2, 3, 4};
INDArray sparseVec = Nd4j.createSparseCSR(values, cols, pointerB, pointerE, shape);
INDArray vec = Nd4j.create(new double[] {1, 2, 3, 4});
Nd4j.getBlasWrapper().level1().rot(vec.length(), sparseVec, vec, 1, 2);
INDArray expectedSparseVec = Nd4j.createSparseCSR(new double[] {3, 6, 9, 12}, new int[] {0, 1, 2, 3},
new int[] {0}, new int[] {4}, new int[] {1, 4});
INDArray expectedVec = Nd4j.create(new double[] {-1, -2, -3, -4});
assertEquals(getFailureMessage(), expectedSparseVec.data(), sparseVec.data());
assertEquals(getFailureMessage(), expectedVec, vec);
if (expectedSparseVec.isSparse() && sparseVec.isSparse()) {
BaseSparseNDArray vec2 = ((BaseSparseNDArray) expectedSparseVec);
BaseSparseNDArray vecSparse2 = ((BaseSparseNDArray) sparseVec);
assertEquals(getFailureMessage(), vec2.getVectorCoordinates(), vecSparse2);
}
}
Example 10
| Source File: BaseLevel2.java From nd4j with Apache License 2.0 | 5 votes |
|
/**
* gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
* y := alpha*a*x + beta*y for trans = 'N'or'n';
* y := alpha*a'*x + beta*y for trans = 'T'or't';
* y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
* Here a is an m-by-n band matrix, x and y are vectors, alpha and beta are scalars.
*
* @param order
* @param transA
* @param alpha
* @param A
* @param X
* @param beta
* @param Y
*/
@Override
public void gemv(char order, char transA, double alpha, INDArray A, INDArray X, double beta, INDArray Y) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, A, X, Y);
if (A.isSparse() && !X.isSparse()) {
Nd4j.getSparseBlasWrapper().level2().gemv(order, transA, alpha, A, X, beta, Y);
return;
}
GemvParameters parameters = new GemvParameters(A, X, Y);
if (A.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, parameters.getA(), parameters.getX(),
parameters.getY());
dgemv(order, parameters.getAOrdering(), parameters.getM(), parameters.getN(), alpha, parameters.getA(),
parameters.getLda(), parameters.getX(), parameters.getIncx(), beta, parameters.getY(),
parameters.getIncy());
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, parameters.getA(), parameters.getX(),
parameters.getY());
sgemv(order, parameters.getAOrdering(), parameters.getM(), parameters.getN(), (float) alpha,
parameters.getA(), parameters.getLda(), parameters.getX(), parameters.getIncx(),
(float) beta, parameters.getY(), parameters.getIncy());
}
OpExecutionerUtil.checkForAny(Y);
}
Example 11
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 5 votes |
|
/**
* computes a vector-vector dot product.
*
* @param n number of accessed element
* @param alpha
* @param X an INDArray
* @param Y an INDArray
* @return the vector-vector dot product of X and Y
*/
@Override
public double dot(long n, double alpha, INDArray X, INDArray Y) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, X, Y);
if (X.isSparse() && !Y.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().dot(n, alpha, X, Y);
} else if (!X.isSparse() && Y.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().dot(n, alpha, Y, X);
} else if (X.isSparse() && Y.isSparse()) {
// TODO - MKL doesn't contain such routines
return 0;
}
if (X.data().dataType() == DataBuffer.Type.DOUBLE) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, X, Y);
return ddot(n, X, BlasBufferUtil.getBlasStride(X), Y, BlasBufferUtil.getBlasStride(Y));
} else if (X.data().dataType() == DataBuffer.Type.FLOAT) {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, X, Y);
return sdot(n, X, BlasBufferUtil.getBlasStride(X), Y, BlasBufferUtil.getBlasStride(Y));
} else {
DefaultOpExecutioner.validateDataType(DataBuffer.Type.HALF, X, Y);
return hdot(n, X, BlasBufferUtil.getBlasStride(X), Y, BlasBufferUtil.getBlasStride(Y));
}
}
Example 12
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 5 votes |
|
/**
* finds the element of a vector that has the minimum absolute value.
*
* @param arr
* @return
*/
@Override
public int iamin(INDArray arr) {
if (arr.isSparse()) {
return Nd4j.getSparseBlasWrapper().level1().iamin(arr);
} else {
throw new UnsupportedOperationException();
}
}
Example 13
| Source File: BaseLevel1.java From nd4j with Apache License 2.0 | 5 votes |
|
/**
* computes a vector by a scalar product.
*
* @param N
* @param alpha
* @param X
*/
@Override
public void scal(long N, double alpha, INDArray X) {
if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
OpProfiler.getInstance().processBlasCall(false, X);
if (X.isSparse()) {
Nd4j.getSparseBlasWrapper().level1().scal(N, alpha, X);
} else if (X.data().dataType() == DataBuffer.Type.DOUBLE)
dscal(N, alpha, X, BlasBufferUtil.getBlasStride(X));
else if (X.data().dataType() == DataBuffer.Type.FLOAT)
sscal(N, (float) alpha, X, BlasBufferUtil.getBlasStride(X));
else if (X.data().dataType() == DataBuffer.Type.HALF)
Nd4j.getExecutioner().exec(new ScalarMultiplication(X, alpha));
}
