Java Code Examples for org.nd4j.autodiff.samediff.SameDiff#stridedSlice()
The following examples show how to use
org.nd4j.autodiff.samediff.SameDiff#stridedSlice() .
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Example 1
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 6 votes |
|
@Test
public void testStridedSlice2dBasic() {
INDArray inArr = Nd4j.linspace(1, 12, 12).reshape('c', 3, 4);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", inArr);
SDVariable slice_full = sd.stridedSlice(in,new long[]{0, 0},new long[]{3, 4},new long[]{1, 1});
SDVariable subPart = sd.stridedSlice(in,new long[]{1, 2},new long[]{3, 4},new long[]{1, 1});
// SDVariable subPart2 = sd.stridedSlice(in,new long[]{0, 0},new long[]{4, 5},new long[]{2, 2});
sd.outputAll(null);
assertEquals(inArr, slice_full.getArr());
assertEquals(inArr.get(interval(1, 3), interval(2, 4)), subPart.getArr());
// assertEquals(inArr.get(interval(0, 2, 4), interval(0, 2, 5)), subPart2.getArr());
}
Example 2
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 6 votes |
|
@Test
public void testStridedSliceEllipsisMask() {
INDArray inArr = Nd4j.linspace(1, 60, 60).reshape('c', 3, 4, 5);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", inArr);
//[1:3,...] -> [1:3,:,:]
SDVariable slice = sd.stridedSlice(in,new long[]{1},new long[]{3},new long[]{1}, 0, 0, 1 << 1, 0, 0);
//[1:3,...,1:4] -> [1:3,:,1:4]
SDVariable slice2 = sd.stridedSlice(in,new long[]{1, 1},new long[]{3, 4},new long[]{1, 1}, 0, 0, 1 << 1, 0, 0);
sd.outputAll(Collections.emptyMap());
assertEquals(inArr.get(interval(1, 3), all(), all()), slice.getArr());
assertEquals(inArr.get(interval(1, 3), all(), all()), slice2.getArr());
}
Example 3
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 6 votes |
|
@Test
public void testStridedSliceShrinkAxisMask() {
INDArray inArr = Nd4j.linspace(1, 60, 60).reshape('c', 3, 4, 5);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", inArr);
SDVariable slice = sd.stridedSlice(in,new long[]{0, 0, 0},new long[]{-999, 4, 5},new long[]{1, 1, 1}, 0, 0, 0, 0, 1);
SDVariable slice2 = sd.stridedSlice(in,new long[]{2, 0, 0},new long[]{-999, 4, 5},new long[]{1, 1, 1}, 0, 0, 0, 0, 1);
SDVariable slice3 = sd.stridedSlice(in,new long[]{1, 2, 1},new long[]{-999, -999, 5},new long[]{1, 1, 1}, 0, 0, 0, 0, 1 | 1 << 1);
sd.outputAll(null);
assertEquals(inArr.get(point(0), all(), all()), slice.getArr());
assertEquals(inArr.get(point(2), all(), all()), slice2.getArr());
assertEquals(inArr.get(point(1), point(2), interval(1, 5)).reshape(4), slice3.getArr());
}
Example 4
| Source File: GradCheckMisc.java From nd4j with Apache License 2.0 | 5 votes |
|
@Test
public void testStridedSliceGradient() {
Nd4j.getRandom().setSeed(12345);
//Order here: original shape, begin, size
List<SSCase> testCases = new ArrayList<>();
testCases.add(SSCase.builder().shape(3, 4).begin(0, 0).end(3, 4).strides(1, 1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(1, 1).end(2, 3).strides(1, 1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(-999, 0).end(3, 4).strides(1, 1).beginMask(1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(1, 1).end(3, -999).strides(1, 1).endMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(-999, 0).end(-999, 4).strides(1, 1).beginMask(1).endMask(1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(-999, 0, 0).end(-999, 3, 4).strides(1, 1).newAxisMask(1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(0, 0, 0).end(3, 4, 5).strides(1, 1, 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 2, 3).end(3, 4, 5).strides(1, 1, 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(0, 0, 0).end(3, 3, 5).strides(1, 2, 2).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, -999, 1).end(3, 3, 4).strides(1, 1, 1).beginMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, -999, 1).end(3, 3, -999).strides(1, 1, 1).beginMask(1 << 1).endMask(1 << 2).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 2).end(3, 4).strides(1, 1).ellipsisMask(1 << 1).build()); //[1:3,...,2:4]
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, -999, 1, 2).end(3, -999, 3, 4).strides(1, -999, 1, 2).newAxisMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 0, 1).end(3, -999, 4).strides(1, 1, 1).shrinkAxisMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 1, 1).end(3, -999, 4).strides(1, 1, 1).shrinkAxisMask(1 << 1).build());
for (int i = 0; i < testCases.size(); i++) {
SSCase t = testCases.get(i);
INDArray arr = Nd4j.rand(t.getShape());
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", arr);
SDVariable slice = sd.stridedSlice(in, t.getBegin(), t.getEnd(), t.getStrides(), t.getBeginMask(),
t.getEndMask(), t.getEllipsisMask(), t.getNewAxisMask(), t.getShrinkAxisMask());
SDVariable stdev = sd.standardDeviation(slice, true);
String msg = "i=" + i + ": " + t;
log.info("Starting test: " + msg);
GradCheckUtil.checkGradients(sd);
}
}
Example 5
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test
public void testStridedSliceBeginEndMask() {
INDArray inArr = Nd4j.linspace(1, 12, 12).reshape('c', 3, 4);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", inArr);
SDVariable slice1 = sd.stridedSlice(in,new long[]{-999, 0},new long[]{2, 4},new long[]{1, 1}, 1 << 1, 0, 0, 0, 0);
SDVariable slice2 = sd.stridedSlice(in,new long[]{1, 0},new long[]{-999, 4},new long[]{1, 1}, 0, 1, 0, 0, 0);
sd.outputAll(null);
assertEquals(inArr.get(NDArrayIndex.interval(0, 2), NDArrayIndex.all()), slice1.getArr());
assertEquals(inArr.get(NDArrayIndex.interval(1, 3), NDArrayIndex.all()), slice2.getArr());
}
Example 6
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test
public void testStridedSliceNewAxisMask() {
INDArray inArr = Nd4j.linspace(1, 60, 60).reshape('c', 3, 4, 5);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", inArr);
SDVariable slice = sd.stridedSlice(in,new long[]{-999, 0, 0, 0},new long[]{-999, 3, 4, 5},new long[]{-999, 1, 1, 1}, 0, 0, 0, 1, 0);
INDArray out = slice.eval();
assertArrayEquals(new long[]{1, 3, 4, 5}, out.shape());
assertEquals(inArr, out.get(point(0), all(), all(), all()));
}
Example 7
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test
public void testStridedSliceNewAxisMask2() {
INDArray inArr = Nd4j.linspace(1, 60, 60).reshape('c', 3, 4, 5);
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", inArr);
SDVariable slice = sd.stridedSlice(in,new long[]{1, 1, -999, 1},new long[]{3, 3, -999, 4},new long[]{1, 1, -999, 1}, 0, 0, 0, 1 << 2, 0);
INDArray out = slice.eval();
assertArrayEquals(new long[]{2, 2, 1, 3}, slice.getArr().shape());
}
Example 8
| Source File: ShapeOpValidation.java From deeplearning4j with Apache License 2.0 | 4 votes |
|
@Test
public void testStridedSliceGradient() {
Nd4j.getRandom().setSeed(12345);
//Order here: original shape, begin, size
List<SSCase> testCases = new ArrayList<>();
testCases.add(SSCase.builder().shape(3, 4).begin(0, 0).end(3, 4).strides(1, 1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(1, 1).end(2, 3).strides(1, 1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(-999, 0).end(3, 4).strides(1, 1).beginMask(1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(1, 1).end(3, -999).strides(1, 1).endMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4).begin(-999, 0).end(-999, 4).strides(1, 1).beginMask(1).endMask(1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(0, 0, 0).end(3, 4, 5).strides(1, 1, 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 2, 3).end(3, 4, 5).strides(1, 1, 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(0, 0, 0).end(3, 3, 5).strides(1, 2, 2).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, -999, 1).end(3, 3, 4).strides(1, 1, 1).beginMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, -999, 1).end(3, 3, -999).strides(1, 1, 1).beginMask(1 << 1).endMask(1 << 2).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 2).end(3, 4).strides(1, 1).ellipsisMask(1 << 1).build()); //[1:3,...,2:4]
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, -999, 1, 2).end(3, -999, 3, 4).strides(1, -999, 1, 2).newAxisMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 0, 1).end(3, -999, 4).strides(1, 1, 1).shrinkAxisMask(1 << 1).build());
testCases.add(SSCase.builder().shape(3, 4, 5).begin(1, 1, 1).end(3, -999, 4).strides(1, 1, 1).shrinkAxisMask(1 << 1).build());
Map<Integer,INDArrayIndex[]> indices = new HashMap<>();
indices.put(0, new INDArrayIndex[]{all(), all()});
indices.put(1, new INDArrayIndex[]{interval(1,2), interval(1,3)});
indices.put(2, new INDArrayIndex[]{interval(0,3), interval(0,4)});
indices.put(3, new INDArrayIndex[]{interval(1,3), interval(1,4)});
indices.put(5, new INDArrayIndex[]{all(), all(), all()});
indices.put(7, new INDArrayIndex[]{interval(0,1,3), interval(0,2,3), interval(0,2,5)});
List<String> failed = new ArrayList<>();
for (int i = 0; i < testCases.size(); i++) {
SSCase t = testCases.get(i);
INDArray arr = Nd4j.rand(t.getShape());
SameDiff sd = SameDiff.create();
SDVariable in = sd.var("in", arr);
SDVariable slice = sd.stridedSlice(in, t.getBegin(), t.getEnd(), t.getStrides(), t.getBeginMask(),
t.getEndMask(), t.getEllipsisMask(), t.getNewAxisMask(), t.getShrinkAxisMask());
SDVariable stdev = sd.standardDeviation(slice, true);
String msg = "i=" + i + ": " + t;
log.info("Starting test: " + msg);
TestCase tc = new TestCase(sd);
tc.testName(msg);
if(indices.containsKey(i)){
tc.expected(slice, arr.get(indices.get(i)).dup());
}
String error = OpValidation.validate(tc, true);
if(error != null){
failed.add(error);
}
}
assertEquals(failed.toString(), 0, failed.size());
}
