Java Code Examples for org.nd4j.linalg.factory.Nd4j#arange()
The following examples show how to use
org.nd4j.linalg.factory.Nd4j#arange() .
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Example 1
Source File: TimeSeriesGenerator.java From deeplearning4j with Apache License 2.0 | 6 votes |
public Pair<INDArray, INDArray> next(int index) { INDArray rows; if (shuffle) { rows = Nd4j.getRandom().nextInt(endIndex, new int[] {batchSize}); rows.addi(startIndex); } else { int i = startIndex + batchSize + stride * index; // TODO: add stride arg to arange rows = Nd4j.arange(i, Math.min(i + batchSize * stride, endIndex + 1)); } INDArray samples = Nd4j.create(rows.length(), length / samplingRate, data.columns()); INDArray targets = Nd4j.create(rows.length(), this.targets.columns()); for (int j = 0; j < rows.rows(); j++) { long idx = (long) rows.getDouble(j); INDArrayIndex indices = NDArrayIndex.interval(idx - this.length, this.samplingRate, idx); samples.putSlice(j, this.data.get(indices)); INDArrayIndex point = NDArrayIndex.point((long) rows.getDouble(j)); targets.putSlice(j, this.targets.get(point)); } if (reverse) samples = Nd4j.reverse(samples); return new Pair<>(samples, targets); }
Example 2
Source File: TestWritablesToNDArrayFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testWritablesToNDArrayAllScalars() throws Exception { List<Writable> l = new ArrayList<>(); for (int i = 0; i < 5; i++) l.add(new IntWritable(i)); INDArray expected = Nd4j.arange(5); assertEquals(expected, new WritablesToNDArrayFunction().apply(l)); }
Example 3
Source File: TestWritablesToNDArrayFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testWritablesToNDArrayMixed() throws Exception { List<Writable> l = new ArrayList<>(); l.add(new IntWritable(0)); l.add(new IntWritable(1)); INDArray arr = Nd4j.arange(2, 5); l.add(new NDArrayWritable(arr)); l.add(new IntWritable(5)); arr = Nd4j.arange(6, 9); l.add(new NDArrayWritable(arr)); l.add(new IntWritable(9)); INDArray expected = Nd4j.arange(10); assertEquals(expected, new WritablesToNDArrayFunction().apply(l)); }
Example 4
Source File: TestNDArrayToWritablesFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesScalars() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = new ArrayList<>(); for (int i = 0; i < 5; i++) expected.add(new DoubleWritable(i)); List<Writable> actual = new NDArrayToWritablesFunction().apply(arr); assertEquals(expected, actual); }
Example 5
Source File: TestNDArrayToWritablesFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesArray() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = Arrays.asList((Writable) new NDArrayWritable(arr)); List<Writable> actual = new NDArrayToWritablesFunction(true).apply(arr); assertEquals(expected, actual); }
Example 6
Source File: TestWritablesToNDArrayFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testWritablesToNDArrayAllScalars() throws Exception { List<Writable> l = new ArrayList<>(); for (int i = 0; i < 5; i++) l.add(new IntWritable(i)); INDArray expected = Nd4j.arange(5); assertEquals(expected, new WritablesToNDArrayFunction().call(l)); }
Example 7
Source File: TestWritablesToNDArrayFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testWritablesToNDArrayMixed() throws Exception { List<Writable> l = new ArrayList<>(); l.add(new IntWritable(0)); l.add(new IntWritable(1)); INDArray arr = Nd4j.arange(2, 5); l.add(new NDArrayWritable(arr)); l.add(new IntWritable(5)); arr = Nd4j.arange(6, 9); l.add(new NDArrayWritable(arr)); l.add(new IntWritable(9)); INDArray expected = Nd4j.arange(10); assertEquals(expected, new WritablesToNDArrayFunction().call(l)); }
Example 8
Source File: TestNDArrayToWritablesFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesScalars() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = new ArrayList<>(); for (int i = 0; i < 5; i++) expected.add(new DoubleWritable(i)); List<Writable> actual = new NDArrayToWritablesFunction().call(arr); assertEquals(expected, actual); }
Example 9
Source File: TestNDArrayToWritablesFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesArray() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = Arrays.asList((Writable) new NDArrayWritable(arr)); List<Writable> actual = new NDArrayToWritablesFunction(true).call(arr); assertEquals(expected, actual); }
Example 10
Source File: TestNDArrayToWritablesFunction.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesScalars() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = new ArrayList<>(); for (int i = 0; i < 5; i++) expected.add(new DoubleWritable(i)); List<Writable> actual = new NDArrayToWritablesFunction().apply(arr); assertEquals(expected, actual); }
Example 11
Source File: TestNDArrayToWritablesFunction.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesArray() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = Arrays.asList((Writable) new NDArrayWritable(arr)); List<Writable> actual = new NDArrayToWritablesFunction(true).apply(arr); assertEquals(expected, actual); }
Example 12
Source File: TestWritablesToNDArrayFunction.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testWritablesToNDArrayMixed() throws Exception { List<Writable> l = new ArrayList<>(); l.add(new IntWritable(0)); l.add(new IntWritable(1)); INDArray arr = Nd4j.arange(2, 5); l.add(new NDArrayWritable(arr)); l.add(new IntWritable(5)); arr = Nd4j.arange(6, 9); l.add(new NDArrayWritable(arr)); l.add(new IntWritable(9)); INDArray expected = Nd4j.arange(10).castTo(DataType.FLOAT).reshape(1,10); assertEquals(expected, new WritablesToNDArrayFunction().call(l)); }
Example 13
Source File: TestNDArrayToWritablesFunction.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesScalars() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = new ArrayList<>(); for (int i = 0; i < 5; i++) expected.add(new DoubleWritable(i)); List<Writable> actual = new NDArrayToWritablesFunction().call(arr); assertEquals(expected, actual); }
Example 14
Source File: TestNDArrayToWritablesFunction.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testNDArrayToWritablesArray() throws Exception { INDArray arr = Nd4j.arange(5); List<Writable> expected = Arrays.asList((Writable) new NDArrayWritable(arr)); List<Writable> actual = new NDArrayToWritablesFunction(true).call(arr); assertEquals(expected, actual); }