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Java DataTypeUtil类代码示例

本文整理汇总了Java中org.nd4j.linalg.api.buffer.util.DataTypeUtil的典型用法代码示例。如果您正苦于以下问题:Java DataTypeUtil类的具体用法?Java DataTypeUtil怎么用?Java DataTypeUtil使用的例子?那么, 这里精选的类代码示例或许可以为您提供帮助。


DataTypeUtil类属于org.nd4j.linalg.api.buffer.util包,在下文中一共展示了DataTypeUtil类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: randomStrangeTest

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void randomStrangeTest() {
    DataBuffer.Type type = Nd4j.dataType();
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);

    int a=9;
    int b=2;
    int[] shapes = new int[a];
    for (int i = 0; i < a; i++) {
        shapes[i] = b;
    }
    INDArray c = Nd4j.linspace(1, (int) (100 * 1 + 1 + 2), (int) Math.pow(b, a)).reshape(shapes);
    c=c.sum(0);
    double[] d = c.data().asDouble();
    System.out.println("d: " + Arrays.toString(d));

    DataTypeUtil.setDTypeForContext(type);
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:19,代码来源:SporadicTests.java

示例2: testDTypeSpam

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
/**
 * This is special test that checks for memory alignment
 * @throws Exception
 */
@Test
@Ignore
public void testDTypeSpam() throws Exception {
    Random rnd = new Random();
    for(int i = 0; i < 100; i++) {
        DataTypeUtil.setDTypeForContext(DataBuffer.Type.FLOAT);
        float rand[] = new float[rnd.nextInt(10) + 1];
        for (int x = 0; x < rand.length; x++) {
            rand[x] = rnd.nextFloat();
        }
        Nd4j.getConstantHandler().getConstantBuffer(rand);

        int shape[] = new int[rnd.nextInt(3)+2];
        for (int x = 0; x < shape.length; x++) {
            shape[x] = rnd.nextInt(100) + 2;
        }

        DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);
        INDArray array = Nd4j.rand(shape);
        BooleanIndexing.applyWhere(array, Conditions.lessThan(rnd.nextDouble()), rnd.nextDouble());
    }
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:27,代码来源:SporadicTests.java

示例3: testSum

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testSum(){
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);
    System.out.println("dType: "+ Nd4j.dataType());
    double[] d = new double[]{0.0018527202080054288, 4.860460399681257E-5, 1.0866740014537973E-4, -0.0067027589698796745, 3.137875745180366E-4, -0.004068275565124544, -0.01787441478759584, 0.008485829165871582, -2.763756128155635E-4, 2.871786662038523E-4, -0.010483973019250817, 0.007756981321203987, -0.0017533316296846166, -0.013154552997235138, 0.002664089383318023, 0.003219604745689706, -0.017140063751978196, -0.0402780728371146, -0.024062552380901596, 0.0034055167376910362, -0.0014209322438402164, -0.0019807697611663373, -2.2838830354674253E-4, 0.00802614947703168, 6.809417793628905E-5, -3.5682443741929696E-4, 2.3642116161687557E-4, 0.0020248602841291333, 0.008922488929012673, -1.8730312287067906E-6, 2.6969347916614046E-5, -1.3560804909521155E-5, -0.0019803959188298536, -0.011388435316124648, 0.009815024112605878, -6.217212819848868E-5, 7.198174495385047E-6, 7.859570666088778E-4, 3.2352438373925256E-4, 0.009310926419061586, 0.001285919484459703, -0.004614530932162568, -5.693929364499898E-4, 4.436935763832914E-5, 0.010423203318809186, 0.006593852752045009, 0.0063445124848706584, 9.737683314182195E-5, -7.002675823907349E-4, 0.0010906784650723032, -9.972152373258224E-6, 0.00871521334612937, 0.0015878927877041975, 3.5864863535235535E-4, -4.398790476749721E-5, -7.77853455185052E-5, 1.8862217750434992E-4, 0.0224868440061588, 0.0073318858545188175, -8.220926236861101E-4, -2.4336360596325374E-4, -0.0018348955616861627, 0.011423225743787646, -0.0016207645948113378, 2.289915435117371E-4, -7.122130486259979E-4, -4.94058936059287E-4, 0.004245767850547438, 2.1598406094246788E-4, 0.0014093429117757112, 3.1948093888499473E-4, -1.327894312872927E-4, 5.756401064075624E-4, -0.013501868757425933, 0.08022280647460137, -0.025763510735921924, 0.2147635435756625, -3.570893204705811E-4, 0.23699343725699218, 0.02005726530793397, 0.2233494849035487, 0.0015628679046820334, 0.03686828571588657, -0.034884254322163376, -0.04580585504492872, 0.022492109246861913, 0.6122906576027609, 0.0013512843074173794, 0.009833469844281123, -0.12754922577196826, -0.05866094108326281, 0.00786015783509335, 0.012943402024682067, -0.04138337949224019, 0.16422596234194609, -0.003224047448184361, -0.013553967826667544, 0.024567523776697443, 0.003119569763001505, 0.06676632404231841, 0.0019518418481909879, -3.546570152995131E-4, 8.843184961729061E-4, 0.02791605441470666, -0.013688049930718094, 0.03237370158354087, 7.749693316768275E-4, -0.006175397798237791, -0.001425650837729542, -7.358356122518933E-4, -5.924546696292049E-4, 2.572174974203492E-4, 0.008635399542952251, -0.00785894020636433, 0.00611004654858908, 3.849937280461072E-4, -0.0011280073492511923, -0.014039863611056342, 0.005258910284221449, -0.0012716079353840685, -0.005880609969998075, 0.03884904612026859, -0.007808162270479559, 0.13764734350512128, -0.0955607452917015, 0.01739042887598923, 0.003176716700283583, -8.845189001196553E-5, 0.059890266991132, -0.011719738031782573, -0.009720651901132008, -0.020271048497565218, 3.5861474460486776E-5, 0.003234054136867597, -0.016855942686723118, -0.04109181803561225, 0.03929335910336556, -0.002045944958743484, 4.986319734224706E-6, -2.0719501403766647E-5, 0.022377318509545937, -0.007592601387358396, 4.490315393644052E-4, 9.033852118576955E-5, 4.621091068084668E-6, -5.247702006473915E-4, -7.902654461500924E-4, -0.0011914084606579713, 0.0030085580689989877, -4.246971856810759E-4, -1.2340215512440867E-4, 0.0019671074593817285, -6.010387216740781E-4, 0.013650305790487045, -0.0011454153127967719, -0.007189180788631945, 2.870289907492301E-6, 4.3693088414999864E-4, 0.01200434591332941, -0.014509596674846678, -0.0029357117029629866, -2.1150207332328822E-4, -0.00315536512642124, 1.0374814880225154E-4, -0.0034757406691398496, 0.011599985159323294, 1.2969970680596453E-4, 9.964327556021442E-4, -0.001849649601501932, 0.002689358375591656, 0.012896200751328621, 0.007476029001401352, -0.0033194177760658377, -4.3432827454975976E-4, 3.411369387610943E-4, -4.103832908635317E-4, 0.007055642948203781, -0.0015501810107658967, -0.005752034090813254, -2.844831713420882E-4, -9.563438979460705E-5, -0.02284555356663203, -0.009025504086580169, -0.1559083024105329, 0.12294355422935457, -8.708345100849238E-4, 0.02784682111718311, 0.09887344727692746, 0.1984110780215329, -0.0019539047730033083, 0.436534119185953, -0.0022943880212978763, 0.0033303334626212217, -0.47305986663738375, 0.2870128297740214, -0.4852364244335913, -0.1966639932906117, -0.011543131716351632, -0.037961570290375855, 0.7991053621370379, -0.0965493466734368, 0.14022527291688097, -0.15353621266599798, 0.032127740955076554, -0.03391229079838272, 0.04220928870735664, -0.10022115665949234, -0.0060843857983522015, 0.05969884290137722, -0.001513774894231756, 0.003573617155056928, -0.030126515163639428, 0.006604847374388239, -0.01685524264155275, -0.015135550991685925, -0.002122525156000015};
    int[] shape = {2, 108};
    int[] stride = {108, 1};
    char order = 'c';
    INDArray arr = Nd4j.create(d, shape, stride, 0, order );

    double[] exp = new double[2];
    for( int i=0; i<shape[1]; i++ ){
        exp[0] += arr.getDouble(0,i);
        exp[1] += arr.getDouble(1,i);
    }

    System.out.println("Expected: " + Arrays.toString(exp));
    System.out.println("Actual:   " + Arrays.toString(arr.sum(1).data().asDouble()));
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:20,代码来源:SporadicTests.java

示例4: testRectifiedLinearDerivative

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testRectifiedLinearDerivative() {
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);
    //ReLU:
    //f(x) = max(0,x)
    //Piecewise differentiable; choose f'(0) = 0
    //f'(x) = 1 if x > 0
    //f'(x) = 0 if x <= 0

    INDArray z = Nd4j.zeros(100);
    double[] expOut = new double[100];
    for (int i = 0; i < 100; i++) {
        double x = 0.1 * (i - 50);
        z.putScalar(i, x);
        expOut[i] = (x > 0 ? 1 : 0);
    }

    INDArray zPrime = Nd4j.getExecutioner()
                    .execAndReturn(new Step(z));

    for (int i = 0; i < 100; i++) {
        assertTrue(expOut[i] == zPrime.getDouble(i));
    }
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:25,代码来源:DerivativeTests.java

示例5: testNorm2Double

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testNorm2Double() {
    DataBuffer.Type initialType = Nd4j.dataType();
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);
    INDArray n = Nd4j.create(new double[] {1, 2, 3, 4});
    double assertion = 5.47722557505;
    double norm3 = n.norm2Number().doubleValue();
    assertEquals(getFailureMessage(), assertion, norm3, 1e-1);

    INDArray row = Nd4j.create(new double[] {1, 2, 3, 4}, new int[] {2, 2});
    INDArray row1 = row.getRow(1);
    double norm2 = row1.norm2Number().doubleValue();
    double assertion2 = 5.0f;
    assertEquals(getFailureMessage(), assertion2, norm2, 1e-1);
    DataTypeUtil.setDTypeForContext(initialType);
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:17,代码来源:Nd4jTestsC.java

示例6: pointerIndexerByGlobalType

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
public void pointerIndexerByGlobalType(Type currentType) {
    if (currentType == Type.INT) {
        pointer = new IntPointer(length());
        setIndexer(IntIndexer.create((IntPointer) pointer));
        type = Type.INT;
    } else {
        if (DataTypeUtil.getDtypeFromContext() == Type.DOUBLE) {
            pointer = new DoublePointer(length());
            indexer = DoubleIndexer.create((DoublePointer) pointer);
        } else if (DataTypeUtil.getDtypeFromContext() == Type.FLOAT) {
            pointer = new FloatPointer(length());
            setIndexer(FloatIndexer.create((FloatPointer) pointer));
        } else if (DataTypeUtil.getDtypeFromContext() == Type.LONG) {
            pointer = new LongPointer(length());
            setIndexer(LongIndexer.create((LongPointer) pointer));
        }
    }
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:19,代码来源:BaseDataBuffer.java

示例7: testTsne

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testTsne() throws Exception {
    Nd4j.ENFORCE_NUMERICAL_STABILITY = true;
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);
    Nd4j.getRandom().setSeed(123);
    BarnesHutTsne b = new BarnesHutTsne.Builder().stopLyingIteration(10).setMaxIter(10).theta(0.5).learningRate(500)
                    .useAdaGrad(false).build();

    ClassPathResource resource = new ClassPathResource("/mnist2500_X.txt");
    File f = resource.getTempFileFromArchive();
    INDArray data = Nd4j.readNumpy(f.getAbsolutePath(), "   ").get(NDArrayIndex.interval(0, 100),
                    NDArrayIndex.interval(0, 784));



    ClassPathResource labels = new ClassPathResource("mnist2500_labels.txt");
    List<String> labelsList = IOUtils.readLines(labels.getInputStream()).subList(0, 100);
    b.fit(data);
}
 
开发者ID:deeplearning4j,项目名称:deeplearning4j,代码行数:20,代码来源:BarnesHutTsneTest.java

示例8: testMul_Scalar1

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testMul_Scalar1() throws Exception {
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);
    INDArray x = Nd4j.create(new double[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10});
    INDArray y = Nd4j.create(10).assign(0.000003);

    x.muli(y);
    x.divi(0.0000022);

    ((GridExecutioner)Nd4j.getExecutioner()).flushQueueBlocking();

    INDArray eX = Nd4j.create(new double[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10});
    ((GridExecutioner)Nd4j.getExecutioner()).flushQueueBlocking();

    INDArray eY = Nd4j.create(10).assign(0.000003);
    ((GridExecutioner)Nd4j.getExecutioner()).flushQueueBlocking();

    eX.muli(eY);
    ((GridExecutioner)Nd4j.getExecutioner()).flushQueueBlocking();
    System.out.println("Data before divi2: " + Arrays.toString(eX.data().asDouble()));

    eX.divi(0.0000022);
    ((GridExecutioner)Nd4j.getExecutioner()).flushQueueBlocking();

    System.out.println("Data1: " + Arrays.toString(x.data().asDouble()));
    System.out.println("Data2: " + Arrays.toString(eX.data().asDouble()));

    assertEquals(eX, x);
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:30,代码来源:GridRunningTests.java

示例9: setUp

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Before
    public void setUp() throws Exception {
        DataTypeUtil.setDTypeForContext(DataBuffer.Type.FLOAT);
        if (allocator == null) {


            Configuration configuration = new Configuration();
      //      configuration.setHostDeallocAggressiveness(Aggressiveness.IMMEDIATE);
            configuration.setMaximumSingleHostAllocation(5000);
            configuration.setMaximumZeroAllocation(1000000000);

//            singleDevice4GBcc52 = new CudaEnvironment(configuration);

            DeviceInformation device1 = new DeviceInformation();
            device1.setDeviceId(0);
            device1.setCcMajor(5);
            device1.setCcMinor(2);
            device1.setTotalMemory(4 * 1024 * 1024 * 1024L);
            device1.setAvailableMemory(4 * 1024 * 1024 * 1024L);

//            singleDevice4GBcc52.addDevice(device1);

            allocator = AtomicAllocator.getInstance();
//            allocator.applyConfiguration(configuration);
//            allocator.setEnvironment(singleDevice4GBcc52);
//            allocator.setMemoryHandler(new CudaZeroHandler());
        }
    }
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:29,代码来源:AtomicAllocatorTest.java

示例10: setUp

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Before
public void setUp() {
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.FLOAT);
    CudaEnvironment.getInstance().getConfiguration()
            .allowMultiGPU(true)
            .allowCrossDeviceAccess(true)
            .enableDebug(true)
            .setMaximumGridSize(512)
            .setMaximumBlockSize(256)
            .setVerbose(true);
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:12,代码来源:AveragingTests.java

示例11: testHalf19

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Ignore
@Test
public void testHalf19() {
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.HALF);
    INDArray first = Nd4j.rand(20, 10);
    INDArray second = Nd4j.rand(3, 20);
    DataSet data = new DataSet(first, second);

    data.normalize();
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:11,代码来源:SporadicTests.java

示例12: testEps

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testEps() throws Exception {

    DataTypeUtil.setDTypeForContext(DataBuffer.Type.HALF);

    INDArray arr = Nd4j.create(new double[]{0,0,0,1,1,1,2,2,2});

    System.out.println(arr.eps(0.0));
    System.out.println(arr.eps(1.0));
    System.out.println(arr.eps(2.0));
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:12,代码来源:SporadicTests.java

示例13: testLogSoftmax2

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testLogSoftmax2() {
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.FLOAT);
    INDArray array1 = Nd4j.create(new double[] {-3.9492188, -7.953125, -4.3476562, 2.1445312, -1.2080078, -2.640625, -5.984375, 13.125, -1.0908203, 4.140625, 1.7753906, -9.1875, -1.7216797, 0.02407837, -2.6074219, 5.1875, 2.8476562, -4.6796875, 2.3886719, -1.5478516, -5.65625, 7.6015625, 0.6513672, 0.36108398, -4.0234375, -0.73828125, 0.23620605, -2.5449219, 2.5097656, -3.1894531, 0.5698242, -2.8105469, 0.34570312, -1.8349609, -2.1777344, 3.7207031, 2.3554688, -4.71875, 1.9306641, -4.0234375, -5.8828125, 7.46875, -0.5571289, 1.3974609, -2.3925781, -0.7763672, -1.3125, 0.27685547, 0.7158203, -1.4169922, 0.25170898, -11.40625, 1.0244141, -6.375, 4.1914062, -0.9916992, 7.1132812, -2.1914062, -1.3115234, -0.54248047, -4.4726562, -5.78125, 1.3642578, 8.7890625, -3.0898438, -0.4284668, -3.8691406, -5.5429688, 2.8710938, -3.0449219, -5.09375, -6.9375, -5.6992188, -1.4013672, 6.578125, -0.8378906, -2.4882812, 3.6757812, 1.515625, 4.6015625, 3.2714844, -11.515625, 4.6953125, -6.7421875, -0.34765625, 0.55029297, 11.1328125, -7.9414062, -1.1298828, -4.3710938, -1.2958984, -5.7539062, -1.3154297, 2.9492188, -2.5507812, 4.7421875, 2.8300781, -3.859375, 1.6787109, -3.9316406, -6.703125, -3.1914062, -5.3554688, 0.25634766, 1.2685547, -0.09802246, -5.6445312, 2.8046875, 3.0644531, 5.1289062, 9.3828125, -14.03125, -0.8144531, -2.5136719, -4.921875, 2.0410156, 2.6503906, -5.5351562, 0.87109375, -2.7792969, -7.15625, -1.8056641, -3.6484375, 3.1542969, -1.9492188, -2.640625, -8.0, 10.625, 0.7675781, 3.5644531, 5.4726562, -7.3476562, 0.8720703, -0.8852539, -4.625, 2.2441406, 2.1074219, -5.71875, 1.4023438, -5.4960938, -1.453125, -6.4140625, 1.6884766, -3.4433594, -0.3112793, 1.3066406, 1.8271484, -2.0976562, 3.9550781, -2.6542969, -5.0195312, 4.9375, -0.4868164, 1.3183594, -1.5224609, -1.6308594, -2.6542969, 1.9677734, 0.052520752, -1.1816406, -3.3867188, -4.6484375, 0.74853516, 10.8203125, -6.4179688, 3.375, -2.6777344, -3.9882812, 2.0351562, -3.0859375, -1.0869141, -8.2421875, 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-6.1484375, 5.84375, -8.3046875, 10.4609375, -13.1796875, 2.0917969, -8.2421875, -4.8476562, 4.34375, 5.4960938, -7.859375, 2.0605469, -5.2539062, -3.1523438, -13.1484375, 2.421875, -5.96875, 7.2773438, -3.5996094, 5.4765625, -0.3918457, 0.34838867, 0.7138672, -4.9296875, 2.8085938, 6.328125, 1.2519531, -4.9179688, -1.9257812, 2.2773438, -1.8183594, 0.075927734, -4.8632812, -4.1210938, 4.7109375, -0.18847656, -0.0033340454, -0.9140625, -1.796875, -1.8095703, 0.2319336, 1.1972656, -2.1445312, -5.5273438, 6.7226562, -0.5678711, 1.2050781, -2.8398438, -1.7080078, -2.6015625, 1.6298828, 0.76416016, -1.3017578, -4.3554688, -8.53125, -1.4111328, 4.6640625, -2.765625, 1.6875, -5.8085938, 0.9165039, 2.5410156, 1.5732422});

    Nd4j.getExecutioner().exec(new LogSoftMax(array1));

    System.out.println("Array1: " + Arrays.toString(array1.data().asFloat()));
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.HALF);
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:11,代码来源:HalfOpsTests.java

示例14: testNd4jDup

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Test
public void testNd4jDup() {
/* set the dType */
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);

/* create NDArray from a double[][] */
    int cnt = 0;
    double data[][] = new double[50][50];
    for (int x = 0; x < 50; x++) {
        for (int y = 0; y< 50; y++) {
            data[x][y] = cnt;
            cnt++;
        }
    }
    INDArray testNDArray = Nd4j.create(data);

/* print the first row */
    System.out.println("A: " + testNDArray.getRow(0));

/* set the dType again! */
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);

/* print the first row */
    System.out.println("B: " + testNDArray.getRow(0));

/* print the first row dup -- it should be different now! */
    System.out.println("C: " + testNDArray.getRow(0).dup());
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:29,代码来源:CudaExecutionerTest.java

示例15: setUp

import org.nd4j.linalg.api.buffer.util.DataTypeUtil; //导入依赖的package包/类
@Before
public void setUp() throws Exception {
    System.out.println("----------------------");
    DataTypeUtil.setDTypeForContext(DataBuffer.Type.DOUBLE);


    CudaEnvironment.getInstance().getConfiguration().enableDebug(true).setVerbose(true).allowMultiGPU(false);
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:9,代码来源:DoublesTests.java


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