cavis/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests4.cpp

/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

//
//  @author raver119@gmail.com
//

#include "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <helpers/helper_hash.h>
#include <array/NDArray.h>
#include <array/NDArrayList.h>


using namespace sd;
using namespace sd::graph;

class DeclarableOpsTests4 : public testing::Test {
public:

    DeclarableOpsTests4() {
        printf("\n");
        fflush(stdout);

        sd::ops::adjust_hue op0;
        sd::ops::adjust_saturation op1;
    }
};

template <typename T>
class TypedDeclarableOpsTests4 : public testing::Test {
public:

    TypedDeclarableOpsTests4() {
        printf("\n");
        fflush(stdout);

        sd::ops::adjust_hue op0;
        sd::ops::adjust_saturation op1;
    }
};

typedef ::testing::Types<double, float> TestingTypes;
TYPED_TEST_CASE(TypedDeclarableOpsTests4, TestingTypes);

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_1) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 4, 4, 2});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, {6.f, 7.f,  10.f,  11.f,  22.f,  23.f,  26.f,  27.f,  38.f,  39.f,  42.f,  43.f,  54.f,  55.f,  58.f, 59.f});

    x.linspace(1);

    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 0, 0, 1, 1, 1, 1, 1});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_2) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 4, 4, 2});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, {6.f, 7.f,  10.f,  11.f,  22.f,  23.f,  26.f,  27.f,  38.f,  39.f,  42.f,  43.f,  54.f,  55.f,  58.f, 59.f});

    x.linspace(1);


    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 0, 0, 1, 1, 0, 1, 1});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_3) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 5, 5, 2});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 3, 3, 2}, {7.f,    8.f,   11.f,   12.f,   14.f,   15.f,   27.f,   28.f,   31.f,   32.f,   34.f,   35.f, 42.f,   43.f,   46.f,   47.f,   49.f,   50.f,   57.f,   58.f,   61.f,   62.f,   64.f,   65.f, 77.f,   78.f,   81.f,   82.f,   84.f,   85.f,   92.f,   93.f,   96.f,   97.f,   99.f,  100.f,});

    x.linspace(1);


    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 0, 0, 1, 1, 1, 0, 1});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_4) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 5, 5, 2});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, {7.f,   8.f,  11.f,  12.f,  27.f,  28.f,  31.f,  32.f,  57.f,  58.f,  61.f,  62.f,  77.f,  78.f,  81.f, 82.f});

    x.linspace(1);

    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 0, 0, 1, 1, 0, 1, 1});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_5) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 5, 5});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 3, 3}, {1.f, 2.5f, 4.5f, 8.5f, 10.f, 12.f, 18.5f, 20.f, 22.f, 26.f, 27.5f, 29.5f, 33.5f, 35.f, 37.f, 43.5f, 45.f, 47.f,  51.f, 52.5f, 54.5f,  58.5f, 60.f, 62.f, 68.5f, 70.f, 72.f,  76.f, 77.5f, 79.5f, 83.5f, 85.f, 87.f,  93.5f, 95.f, 97.f});

    x.linspace(1);


    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_6) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 5, 5});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 3, 3}, {0.25f, 1.25f, 2.25f,  4.25f, 10.f, 12.f, 9.25f, 20.f, 22.f, 6.5f, 13.75f, 14.75, 16.75f, 35.f, 37.f,  21.75f, 45.f, 47.f,  12.75f, 26.25f, 27.25f,  29.25f, 60.f, 62.f, 34.25f, 70.f, 72.f, 19.f, 38.75f, 39.75f, 41.75f, 85.f, 87.f, 46.75f, 95.f, 97.f});

    x.linspace(1);


    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 1, 1, 1, 1, 0, 1, 0});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_7) {
    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 5, 5});
    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 3, 3}, {4.f, 6.f, 7.5f, 14.f, 16.f, 17.5f,  21.5f, 23.5f, 25.f, 29.f, 31.f, 32.5f, 39.f, 41.f, 42.5f, 46.5f, 48.5f, 50.f, 54.f, 56.f, 57.5f,  64.f, 66.f, 67.5f, 71.5f, 73.5f, 75.f, 79.f, 81.f, 82.5f, 89.f, 91.f, 92.5f,  96.5f, 98.5f, 100.f});

    x.linspace(1);


    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 2, 2, 0, 0, 1, 1, 1, 0, 0});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_8) {
    auto x = NDArrayFactory::create<TypeParam>('c', {1, 1, 3, 3});
    auto exp = NDArrayFactory::create<TypeParam>('c', {1, 1, 2, 2}, {3.f, 4.f, 6.f, 7.f});

    x.linspace(1);

    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 1, 1, 0, 0, 1, 1, 0, 0, 0});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_9) {
    auto x = NDArrayFactory::create<TypeParam>('c', {1, 1, 3, 3});
    auto exp = NDArrayFactory::create<TypeParam>('c', {1, 1, 3, 3}, {3.f, 4.f, 4.5f, 6.f, 7.f, 7.5f, 7.5f, 8.5f, 9.f});

    x.linspace(1);


    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {}, {2, 2, 1, 1, 0, 0, 1, 1, 1, 0, 0});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    //z->printShapeInfo("z shape:");
    //z->printBuffer("z buffer:");

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, avgpool2d_10) {

    auto input = NDArrayFactory::create<TypeParam>('c', {4, 10, 10, 3}, {9.37125111f, 2.20166993f, 2.91434479f, 5.43639755f, -2.10573769f, 4.08528662f, 5.86908436f, -4.46203756f, 2.21057916f, 5.35849190f, 0.01394637f, 4.40566349f, 7.07982206f, -0.09633455f, 2.42429352f, 3.97301817f, -1.89553940f, 1.99690318f, 6.33141708f, 0.55401880f, 1.70707977f,
        5.55204201f, -0.03513752f, 1.60011971f, 2.62700319f, -2.74582434f, 3.06697464f, 1.06277943f, -1.16075921f, -0.78095782f, 9.72352791f, -1.22686064f, 1.99644792f, 7.35571337f, 1.40607321f, 0.11390255f, 9.53334427f, 2.28303599f, -1.66728830f, 6.16678810f, -0.04532295f, -1.97708666f, 9.74906158f, 1.46223176f, -1.46734393f, 4.30761862f,
        -1.23790228f, 1.24823606f, 6.13938427f, -3.83689475f, -1.19625473f, 7.91535568f, 6.05868721f, -3.22946382f, 8.81633949f, -0.19967777f, 0.66053957f, 2.30919123f, 0.74543846f, -0.39347672f, 11.11058044f, 0.53720862f, 1.52645731f, 5.70012379f, -1.15213466f, 1.16451406f, 7.00526333f, 1.57362783f, -2.44384766f, 5.54213285f, -1.98828590f,
        -0.70483637f, 7.88281822f, -3.59875536f, 0.80745387f, 13.41578484f, -1.55507684f, -0.65855008f, 9.32583523f, -0.14544789f, 0.73436141f, 3.61176538f, -1.71268058f, -2.58490300f, 9.09280205f, -3.27405524f, -2.04569697f, 4.44761324f, -0.62955856f, -2.61917663f, 8.04890442f, 0.54579324f, 0.85929775f, 9.82259560f, -1.93825579f, 0.77703512f,
        4.67090321f, -4.79267597f, -2.38906908f, 9.31265545f, 0.96026313f, -1.14109385f, 11.54231834f, -0.01417295f, -0.39500344f, 8.49191666f, 0.55300158f, 2.79490185f, 6.92466164f, 1.72254205f, 2.82222271f, 8.83112717f, 2.95033407f, 2.18054962f, 6.73509789f, -2.22272944f, 0.51127720f, -1.04563558f, 2.15747333f, -2.30959272f, 9.55441570f,
        1.50396204f, 1.77370787f, 7.38146257f, -1.79076433f, 3.20961165f, 7.18864202f, 2.91217351f, 0.43018937f, 7.11078024f, -1.17386127f, -0.16817921f, 6.12327290f, -2.82205725f, 3.30696845f, 13.51291752f, -1.30856836f, -2.38332748f, 11.09487438f, -1.47190213f, -0.53050828f, 4.38285351f, -5.07309771f, 1.50714362f, 5.72274446f, -2.85825086f,
        -0.89673209f, 3.73791552f, -0.67708802f, -4.13149452f, -0.00671843f, -0.26566532f, 0.32961160f, 7.14501762f, -1.41608179f, -4.96590328f, 12.26205540f, -0.65158135f, -0.88641000f, 6.95777559f, -0.79058206f, -0.10260171f, 7.87169170f, 1.35921454f, 1.11759663f, 5.46187401f, -2.57214499f, 2.48484039f, 4.04043484f, -2.07137156f, -1.42709637f,
        9.25487137f, -0.12605135f, -2.66949964f, 2.89412403f, 0.74451172f, -2.96250391f, 3.99258423f, 0.27084303f, 0.32213116f, 5.42332172f, -0.44414216f, 1.70881832f, 6.69346905f, 0.53058422f, -4.73146200f, 4.22051668f, 2.24834967f, 0.66996074f, 4.30173683f, 0.11849818f, -4.07520294f, 8.27318478f, -2.54398274f, -2.86705542f, 10.11775303f,
        -0.99382895f, 0.65881538f, 7.93556786f, -1.27934420f, -1.69343162f, 9.68042564f, -1.02609646f, -1.18189347f, 5.75370646f, -1.67888868f, -4.48871994f, 4.79537392f, -0.79212248f, -0.19855022f, 6.15060997f, -0.01081491f, 3.64454579f, 10.82562447f, 1.58859253f, -2.65847278f, 8.60093212f, -1.59196103f, 0.07635692f, 11.76175690f, -1.17453325f,
        0.10122013f, 6.86458445f, -2.18891335f, -2.74004745f, 8.07066154f, 0.71818852f, -2.03035975f, 6.31053686f, 0.51509416f, 1.39789927f, 9.43515587f, 2.04256630f, 0.13985133f, 4.65010691f, 2.40911126f, -0.36255789f, -3.06867862f, -0.45225358f, -1.56778407f, 6.05917358f, -1.09891272f, 1.77184200f, 6.46248102f, 0.96042323f, -0.24346280f,
        4.63436460f, -4.69907761f, 1.25187206f, 11.46173859f, -2.21917558f, 1.28007793f, 6.92173195f, 2.11268163f, -3.47389889f, 5.08722782f, -3.03950930f, -4.17154264f, 11.30568314f, 0.80361372f, 2.53214502f, 7.18707085f, -4.49114513f, 2.85449266f, 10.14906883f, -0.31974933f, -0.84472644f, -0.52459574f, 0.12921631f, -1.81390119f, 2.76170087f, 1.03982210f, 2.91744232f, -0.29048753f, 5.87453508f, -1.53684759f, 1.85800636f, -0.91404629f, 1.28954852f, 5.11354685f, -2.47475505f, -1.33179152f, 2.58552408f, 1.37316465f, -3.32339454f, 1.54122913f, 3.24953628f, -0.29758382f, 2.82391763f, -1.51142192f, -1.22699404f, 6.75745535f, 0.65452754f, -3.29385471f, 2.06008053f, 2.53172946f, -4.23532820f, -1.53909743f, -0.07010663f, -1.42173731f, 7.29031610f, -0.18448229f, 4.59496164f, 6.73027277f, 0.73441899f, 0.14426160f, 4.14915276f, -2.97010231f, 6.05851364f, 4.95218086f, -2.39145470f, 2.40494704f, 2.10288811f, 0.53503096f, 1.44511235f, 6.66344261f, -3.05803776f, 7.21418667f, 3.30303526f, -0.24163735f, 3.47409391f, 3.64520788f, 2.15189481f, -3.11243272f, 3.62310791f, 0.37379482f, 0.40865007f, -0.83132005f, -4.78246069f, 2.07030797f, 6.51765442f, 3.16178989f, 5.06180477f, 3.78434467f, -0.96689719f, 0.35965276f, 5.89967585f, 1.40294051f, 1.11952639f, 10.59778214f, 0.26739889f, -1.61297631f, 6.24801159f, -0.93914318f, -0.57812452f, 9.92604542f, -0.73025000f, -3.38530874f, 2.45646000f, -2.47949195f, 0.51638460f, 10.65636063f, 1.97816694f, -3.00407791f, 2.66914415f, -0.81951088f, -0.23316640f, 2.40737987f, -2.70007610f, 1.51531935f, 4.08860207f, -0.27552786f, -1.31721711f, 7.11568260f, -3.33498216f, -4.02545023f, 7.22675610f, -0.81690705f, -2.52689576f, 1.04016697f, -0.79291463f, -0.34875512f, 10.00498390f, -4.24167728f, 1.46162593f, 11.82569408f, -1.70359993f, -0.30161047f, 16.44085884f, -0.82253462f, -0.09435523f, 6.13080597f, -0.20259480f, 0.68308711f, 6.15663004f, -6.61776876f, 0.33295766f, 2.55449438f, -0.17819691f, -1.14892209f, 5.56776142f, 1.99279118f, 1.33035934f, 4.45823956f, 3.34916544f, -2.59905386f, 6.16164446f, -2.03881931f, -2.45273542f, 12.46793365f, -2.22743297f, 2.83738565f, 8.48628139f, -1.39347959f, -1.30867767f, 11.08041477f, -4.00363779f, 2.09183025f, 11.30395889f, -2.20504737f, 1.37426853f, 8.98735619f, 1.04676604f, -0.72757077f, 8.28050232f, -6.70741081f, -0.65798020f, 5.68592072f, -0.60760021f, 0.35854483f, 6.26852131f, 1.94100165f, 1.32112014f, 0.80987954f, -1.74617672f, -0.25434083f, 7.16045523f, 1.58884013f, -2.64847064f, 13.14820385f, 1.21393633f, -2.47258949f, 9.41650105f, -0.79384226f, 2.48954105f, 10.95629311f, 0.47723705f, 4.02126694f, 8.02593136f, -2.20726371f, -1.18794477f, 1.50836647f, 0.93118095f, -1.73513174f, 8.85493565f, -2.99670315f, -0.79055870f, 2.39473820f, 2.05046916f, -2.38055134f, 11.82299423f, 0.15609655f, 0.68744308f, 5.66401434f, -0.69281673f, 2.09855556f, 7.74626589f, -0.34283102f, 1.00542057f, 9.95838642f, 0.80161905f, 2.33455157f, 9.80057335f, -0.93561798f, 2.56991577f, 8.29711342f, 0.94213426f, 0.44209945f, 11.70259857f, 0.92710167f, 2.60957146f, 0.24971688f, -0.86529571f, 3.78628922f, 6.80884457f, -0.68178189f, 2.21103406f, 3.18895817f, 0.60283208f, -2.92716241f, 6.72060776f, -1.06625068f, 2.56543374f, 9.97404480f, 3.58080721f, -0.94936347f, 10.16736984f, -1.38464379f, 1.18191063f, 6.66179037f, -3.56115270f, 0.32329530f, 10.90870762f, 2.20638227f, 0.19653285f, 7.34650040f, -3.63859272f, -1.03027737f, 5.98829985f, -3.66606474f, -3.89746714f, 8.63469028f, 1.22569811f, 1.63240814f, 3.74385309f, 0.58243257f, -0.56981975f, 3.69260955f, 1.00979900f, -1.44030499f, 8.57058144f, -1.10648811f, 1.20474911f, 5.43133020f, -2.14822555f, -0.07928789f, 11.25825310f, 0.19645604f, -5.49546146f, 10.41917038f, -0.68178523f, -2.99639869f, 6.50054455f, 0.46488351f, -5.42328453f, 9.09500027f, -2.82107449f, 0.05601966f, 15.34610748f, -0.06820253f, 3.86699796f, 10.73316956f, -3.04795432f, -0.14702171f, 5.64813185f, 1.44028485f, -2.47596145f, 0.07280898f, -3.03187990f, -1.35183525f, 9.35835648f, 2.72966957f, 1.88199532f, 10.36187744f, -0.22834805f, -3.26738238f, 6.92025137f, -2.34061313f, 4.77379704f, 5.28559113
    auto exp = NDArrayFactory::create<TypeParam>('c', {4, 4, 4, 3}, {7.97172260f,  0.06878620f,              2.27749538f,              7.29276514f,              -0.14074677f,              0.65480286f,              5.70313978f,              -0.06546132f,              0.35443667f,              3.70382833f,              -0.84020567f,              0.63826996f,              8.60301399f,              -0.38236514f,              1.55177069f,              7.37542057f,              -0.99374938f,              -0.29971302f,              8.84352493f,              -0.67121059f,              0.43132120f,              4.78175592f,              -1.25070143f,              -1.91523600f,              6.03855371f,              -0.00292124f,              -1.11214364f,              7.90158176f,              -0.57949901f,              -0.96735370f,              7.81192017f,              -0.53255427f,              -0.48009714f,              3.16953635f,              0.08353355f,              -1.54299748f,              3.74821687f,              1.69396687f,              0.72724354f,              5.42915201f,              -1.13686812f,              -0.71793109f,              5.78376389f,              -0.72239977f,              -0.60055625f,              2.53636408f,              0.56777251f,              -2.07892323f,              6.08064651f,              0.68620735f,              2.54017019f,              5.65828180f,              -0.68255502f,              1.47283304f,              6.10842514f,              -0.39655915f,              0.28380761f,              1.96707797f,              -1.98206317f,              0.94027776f,              4.71811438f,              0.32104525f,              -0.92409706f,              8.34588146f,              -1.05581069f,              -0.55217457f,              9.58440876f,              -0.96549922f,              0.45820439f,              5.65453672f,              -2.50953507f,              -0.71441835f,              8.03059578f,              -0.21281289f,              0.92125505f,              9.26900673f,              -0.35963219f,              -0.70039093f,              8.59924412f,              -1.22358346f,              0.81318003f,              3.85920119f,              -0.01305223f,              -1.09234154f,              6.33158875f,              1.28094780f,              -1.48926139f,              4.94969177f,              -0.77126902f,              -1.97033751f,              5.64381838f,              -0.16285487f,              -1.31277227f,              2.39893222f,              -1.32902908f,              -1.39609122f,              6.47572327f,              -0.45267010f,              1.55727172f,              6.70965624f,              -1.68735468f,              -0.05672536f,              7.25092363f,              -0.64613032f,              0.67050058f,              3.60789680f,              -2.05948973f,              2.22687531f,              8.15202713f,              -0.70148355f,              1.28314006f,              8.14842319f,              -1.88807654f,              -1.04808438f,              8.45500565f,              -0.76425624f,              0.94542569f,              4.56179953f,              -0.28786001f,              -2.04502511f,              8.46278095f,              -0.31019822f,              0.07339200f,              9.34214592f,              -0.61948007f,              0.52481830f,              8.32515621f,              -1.52418160f,              0.49678251f,              5.11082315f,              -1.09908783f,              -0.52969611f,              5.27806664f,              0.88632923f,              0.66754371f,              4.75839233f,              0.48928693f,              -0.68036932f,              6.56925392f,              -0.02949905f,              -2.99189186f,              4.46320581f,              -0.64534980f,              -0.29516968f,              8.60809517f,              -1.13120568f,              3.41720533f,              5.84243155f,              -1.24109328f,              0.89566326f,              5.99578333f,              -0.42496428f,              2.07076764f,       

    sd::ops::avgpool2d op;
    auto result = op.evaluate({&input}, {3,3,  3,3,  0,0,  1,1,1,  0,1});
    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);

    // z->printIndexedBuffer("z");
    // exp.printIndexedBuffer("e");

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, avgpool2d_11) {
    int inOutH = 5;// 35;
    int inOutW = 5;// 35;
    int inOutC = 10;// 192;

    auto x = NDArrayFactory::create<double>('c', {1, inOutH, inOutW, inOutC});
    x.linspace(1.0);

    sd::ops::avgpool2d op;
    auto result = op.evaluate({&x}, {3,3, 1,1, 0,0, 1,1, 1, 0, 1});
    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);

    int totalPadHeight = (inOutH - 1) * 1 + 3 - inOutH;
    int padTop = totalPadHeight / 2;
    int padBottom = totalPadHeight - totalPadHeight / 2;

    int k = 3;

    auto m = NDArrayFactory::create<double>('c', {1, inOutH, inOutW, inOutC});
    auto c = NDArrayFactory::create<double>('c', {1, inOutH, inOutW, inOutC});

    for (int h = 0; h < inOutH; h++) {
        for (int w = 0; w < inOutW; w++) {
            int hFrom = h - padTop;
            int wFrom = w - padBottom;

            int hTo = hFrom + k;
            int wTo = wFrom + k;

            hFrom = sd::math::nd4j_max<int>(0, hFrom);
            wFrom = sd::math::nd4j_max<int>(0, wFrom);

            hTo = sd::math::nd4j_min<int>(inOutH, hTo);
            wTo = sd::math::nd4j_min<int>(inOutW, wTo);

            int idxOut[4];
            int idxIn[4];
            for (int ch = 0; ch < inOutC; ch++) {
                idxOut[1] = h;
                idxOut[2] = w;
                idxOut[3] = ch;
                idxIn[3] = ch;

                for (int kh = hFrom; kh < hTo; kh++) {
                    for (int kw = wFrom; kw < wTo; kw++) {
                        idxIn[1] = kh;
                        idxIn[2] = kw;

                        auto inVal = x.e<double>(0, kh, kw, ch);
                        m.p(0, h, w, ch, inVal + m.e<double>(0, h, w, ch));
                        c.p(0, h, w, ch, 1 + c.e<int>(0, h, w, ch));
                    }
                }
            }
        }
    }
    m /= c;

    ASSERT_EQ(m, *z);


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, avgpool2d_12) {

    int bS=4, iH=10,iW=10,  iC=3,  kH=3,kW=3,  sH=3,sW=3,  pH=0,pW=0,  dH=1,dW=1;
    int       oH=4, oW=4;
    int paddingMode = 1;             // 1-SAME,  0-VALID
    int dataFormat  = 1;             // 1-NHWC, 0-NDHW

    auto input    = NDArrayFactory::create<double>('c', {bS, iH, iW, iC});
    auto expected = NDArrayFactory::create<double>('c', {bS, oH, oW, iC}, { 17.5,   18.5,   19.5,  25. ,   26. ,   27. ,  34. ,   35. ,   36. ,  41.5,   42.5,   43.5,  92.5,   93.5,   94.5, 100. ,  101. ,  102. , 109. ,  110. ,  111. , 116.5,  117.5,  118.5,
                                                      182.5,  183.5,  184.5, 190. ,  191. ,  192. , 199. ,  200. ,  201. , 206.5,  207.5,  208.5, 257.5,  258.5,  259.5, 265. ,  266. ,  267. , 274. ,  275. ,  276. , 281.5,  282.5,  283.5,
                                                      317.5,  318.5,  319.5, 325. ,  326. ,  327. , 334. ,  335. ,  336. , 341.5,  342.5,  343.5, 392.5,  393.5,  394.5, 400. ,  401. ,  402. , 409. ,  410. ,  411. , 416.5,  417.5,  418.5,
                                                      482.5,  483.5,  484.5, 490. ,  491. ,  492. , 499. ,  500. ,  501. , 506.5,  507.5,  508.5, 557.5,  558.5,  559.5, 565. ,  566. ,  567. , 574. ,  575. ,  576. , 581.5,  582.5,  583.5,
                                                      617.5,  618.5,  619.5, 625. ,  626. ,  627. , 634. ,  635. ,  636. , 641.5,  642.5,  643.5, 692.5,  693.5,  694.5, 700. ,  701. ,  702. , 709. ,  710. ,  711. , 716.5,  717.5,  718.5,
                                                      782.5,  783.5,  784.5, 790. ,  791. ,  792. , 799. ,  800. ,  801. , 806.5,  807.5,  808.5, 857.5,  858.5,  859.5, 865. ,  866. ,  867. , 874. ,  875. ,  876. , 881.5,  882.5,  883.5,
                                                      917.5,  918.5,  919.5, 925. ,  926. ,  927. , 934. ,  935. ,  936. , 941.5,  942.5,  943.5, 992.5,  993.5,  994.5,1000. , 1001. , 1002. ,1009. , 1010. , 1011. ,1016.5, 1017.5, 1018.5,
                                                     1082.5, 1083.5, 1084.5,1090. , 1091. , 1092. ,1099. , 1100. , 1101. ,1106.5, 1107.5, 1108.5,1157.5, 1158.5, 1159.5,1165. , 1166. , 1167. ,1174. , 1175. , 1176. ,1181.5, 1182.5, 1183.5});
    input.linspace(1.);

    sd::ops::avgpool2d op;
    auto results = op.evaluate({&input}, {kH,kW,  sH,sW,  pH,pW,  dH,dW,  paddingMode, 0, dataFormat});
    auto output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    //output->printIndexedBuffer("output");
    //expected.printIndexedBuffer("expected");

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, avgpool2d_13) {

    const int bS = 2;       // batch size
    const int iD = 1;       // input depth (number of picture channels, for example rgb=3)
    const int iH = 28;      // picture height in pixels
    const int iW = 28;      // picture width in pixels
    const int kH = 5;       // kernel height in pixels
    const int kW = 5;       // kernel width in pixels
    const int sH = 1;       // stride step in horizontal direction
    const int sW = 1;       // stride step in vertical direction
    const int pH = 0;       // padding height
    const int pW = 0;       // padding width
    const int dH = 2;       // dilation height
    const int dW = 2;       // dilation width
    const int oH = (iH - kH - (kH-1)*(dH-1) + 2*pH)/sH + 1;     // output height
    const int oW = (iW - kW - (kW-1)*(dW-1) + 2*pW)/sW + 1;     // output width

    auto x = NDArrayFactory::create_<float>('c', {bS,iD,iH,iW});
    auto exp = NDArrayFactory::create<float>('c',{bS,iD,oH,oW});
    // auto z('c',{bS,iD,oH,oW});

    auto variableSpace = new VariableSpace();
    variableSpace->putVariable(-1, x);
    // variableSpace->putVariable(1, &z);

    auto block = new Context(1, variableSpace, false);
    block->fillInputs({-1});
    std::vector<int>* argI = block->getIArguments();
    *argI = {kH,kW, sH,sW, pH,pW, dW,dH, 0, 0, 0};  // 0,1 - kernel Height/Width; 2,3 - stride Height/Width; 4,5 - pad Height/Width; 6,7 - dilation Height/Width; 8 - same mode;

    sd::ops::avgpool2d pooling;
    Nd4jStatus status = pooling.execute(block);
    ASSERT_EQ(ND4J_STATUS_OK, status);

    auto result = variableSpace->getVariable(block->getNodeId())->getNDArray();
    ASSERT_TRUE(exp.isSameShape(result));


    delete variableSpace;
    delete block;
}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, avgpool2d_14) {
    const int bS = 2;
    const int iD = 1;
    const int iH = 28;
    const int iW = 28;
    const int kH = 5;
    const int kW = 5;
    const int sH = 1;
    const int sW = 1;
    const int pH = 0;
    const int pW = 0;
    const int dH = 1;
    const int dW = 1;
    const int oH = (iH - kH - (kH-1)*(dH-1) + 2*pH)/sH + 1;     // output height
    const int oW = (iW - kW - (kW-1)*(dW-1) + 2*pW)/sW + 1;     // output width


    auto x = NDArrayFactory::create_<float>('c', {bS,iD,iH,iW});
    auto exp = NDArrayFactory::create<float>('c',{bS,iD,oH,oW});
    // auto z('c',{bS,iD,oH,oW});

    auto variableSpace = new VariableSpace();
    variableSpace->putVariable(-1, x);
    // variableSpace->putVariable(1, &z);

    auto block = new Context(1, variableSpace, false);
    block->fillInputs({-1});
    std::vector<int>* argI = block->getIArguments();
    *argI = {kH,kW, sH,sW, pH,pW, dW,dH, 0, 0, 0};  // 0,1 - kernel Height/Width; 2,3 - stride Height/Width; 4,5 - pad Height/Width; 6,7 - dilation Height/Width; 8 - same mode;

    sd::ops::avgpool2d pooling;
    Nd4jStatus status = pooling.execute(block);
    ASSERT_EQ(ND4J_STATUS_OK, status);

    auto result = variableSpace->getVariable(block->getNodeId())->getNDArray();
    // result->printShapeInfo();
    ASSERT_TRUE(exp.isSameShape(result));

    delete variableSpace;
    delete block;
}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, Avgpool2d_test15) {
    const int bS = 2;
    const int iD = 1;
    const int iH = 28;
    const int iW = 28;
    const int kH = 5;
    const int kW = 5;
    const int sH = 1;
    const int sW = 1;
    const int pH = 0;
    const int pW = 0;
    const int dH = 1;
    const int dW = 1;
    const int oH = (int) sd::math::nd4j_ceil<float, int>(iH * 1.f / sH);
    const int oW = (int) sd::math::nd4j_ceil<float, int>(iW * 1.f / sW);


    auto x = NDArrayFactory::create_<float>('c', {bS,iD,iH,iW});
    auto exp = NDArrayFactory::create<float>('c',{bS,iD,oH,oW});
    // auto z('c',{bS,iD,oH,oW});

    auto variableSpace = new VariableSpace();
    variableSpace->putVariable(-1, x);
    // variableSpace->putVariable(1, &z);

    auto block = new Context(1, variableSpace, false);
    block->fillInputs({-1});
    std::vector<int>* argI = block->getIArguments();
    *argI = {kH,kW, sH,sW, pH,pW, dW,dH, 1, 0, 0};  // 0,1 - kernel Height/Width; 2,3 - stride Height/Width; 4,5 - pad Height/Width; 6,7 - dilation Height/Width; 8 - same mode;

    sd::ops::avgpool2d pooling;
    Nd4jStatus status = pooling.execute(block);
    ASSERT_EQ(ND4J_STATUS_OK, status);

    auto result = variableSpace->getVariable(block->getNodeId())->getNDArray();
    // result->printShapeInfo();
    ASSERT_TRUE(exp.isSameShape(result));

    delete variableSpace;
    delete block;
}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, avgpool2d_16) {

    int bS=2, iH=4,iW=4,  iC=2,  kH=2,kW=2,  sH=2,sW=2,  pH=0,pW=0,  dH=1,dW=1;
    int       oH=2,oW=2;
    int paddingMode = 1;             // 1-SAME,  0-VALID
    int dataFormat  = 1;             // 1-NHWC, 0-NDHW

    NDArray input('c', {bS, iH, iW, iC}, sd::DataType::FLOAT32);
    NDArray output('f', {bS, oH, oW, iC}, sd::DataType::FLOAT32);
    NDArray expected('c', {bS, oH, oW, iC}, {6.f, 7.f, 10.f, 11.f, 22.f, 23.f, 26.f, 27.f, 38.f, 39.f, 42.f, 43.f, 54.f, 55.f, 58.f, 59.f}, sd::DataType::FLOAT32);

    input.linspace(1.);

    sd::ops::avgpool2d op;
    auto status = op.execute({&input}, {&output}, {}, {kH,kW,  sH,sW,  pH,pW,  dH,dW,  paddingMode, 0, dataFormat}, {});

    ASSERT_EQ(Status::OK(), status);

    // output.printBuffer();
    //expected.printIndexedBuffer("expected");

    ASSERT_TRUE(expected.equalsTo(output));
}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, biasadd_1) {
    auto x = NDArrayFactory::create<double>('c', {2, 3, 3, 2});
    auto bias = NDArrayFactory::create<double>('c', {2}, {1, 2});
    auto exp = NDArrayFactory::create<double>('c', {2, 3, 3, 2}, {1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f, 1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f,  1.f,  2.f});

    sd::ops::biasadd op;
    auto result = op.evaluate({&x, &bias}, {}, {}, {});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, biasadd_2) {
    auto x = NDArrayFactory::create<double>('c', {2, 2, 3, 3});
    auto bias = NDArrayFactory::create<double>('c', {2}, {1, 2});
    auto exp = NDArrayFactory::create<double>('c', {2, 2, 3, 3}, {1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2});

    sd::ops::biasadd op;
    auto result = op.evaluate({&x, &bias}, {}, {}, {true});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, biasadd_3) {
    auto x = NDArrayFactory::create<double>('c', {2, 3});
    auto row = NDArrayFactory::create<double>('c', {3}, {1, 2, 3});
    auto exp = NDArrayFactory::create<double>('c', {2, 3}, {1, 2, 3, 1, 2, 3});

    sd::ops::biasadd op;
    auto result = op.evaluate({&x, &row}, {}, {}, {true});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, biasadd_bp_1) {

    NDArray x('c', {2,2,2,3}, {1.,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24}, sd::DataType::FLOAT32);
    NDArray gradO('c', {2,2,2,3}, sd::DataType::FLOAT32);
    NDArray bias('c', {3}, {-1., -2, -3}, sd::DataType::FLOAT32);

    NDArray expGradB('c', {3}, {9.2, 10. , 10.8}, sd::DataType::FLOAT32);

    gradO.linspace(0.1, 0.1);

    sd::ops::biasadd_bp op;
    auto result = op.evaluate({&x, &bias, &gradO}, {}, {}, {false}); // NHWC

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto gradI = result.at(0);
    auto gradB = result.at(1);

    ASSERT_TRUE(gradI->isSameShape(gradO));
    ASSERT_TRUE(gradI->equalsTo(gradO));

    ASSERT_TRUE(gradB->isSameShape(expGradB));
    ASSERT_TRUE(gradB->equalsTo(expGradB));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, biasadd_bp_2) {

    NDArray x('c', {2,3,2,2}, {1.,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24}, sd::DataType::FLOAT32);
    NDArray gradO('c', {2,3,2,2}, sd::DataType::FLOAT32);
    NDArray bias('c', {3}, {-1., -2, -3}, sd::DataType::FLOAT32);

    NDArray expGradB('c', {3}, {6.8, 10., 13.2}, sd::DataType::FLOAT32);

    gradO.linspace(0.1, 0.1);

    sd::ops::biasadd_bp op;
    auto result = op.evaluate({&x, &bias, &gradO}, {}, {}, {true}); // NCHW

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto gradI = result.at(0);
    auto gradB = result.at(1);

    ASSERT_TRUE(gradI->isSameShape(gradO));
    ASSERT_TRUE(gradI->equalsTo(gradO));

    ASSERT_TRUE(gradB->isSameShape(expGradB));
    ASSERT_TRUE(gradB->equalsTo(expGradB));


}

TEST_F(DeclarableOpsTests4, biasadd_4) {
    if (!Environment::getInstance()->isExperimentalBuild())
        return;

    auto x = NDArrayFactory::create<double>('c', {2, 3});
    auto y = NDArrayFactory::create<float>('c', {3}, {1.f, 2.f, 3.f});
    auto z = NDArrayFactory::create<float>('c', {2, 3});
    auto exp = NDArrayFactory::create<float>('c', {2, 3}, {1.f, 2.f, 3.f, 1.f, 2.f, 3.f});

    sd::ops::biasadd op;
    auto status = op.execute({&x, &y}, {&z}, {}, {}, {true});
    ASSERT_EQ(Status::OK(), status);

    ASSERT_EQ(exp, z);
}

TEST_F(DeclarableOpsTests4, Test_Fill_1) {
    auto x = NDArrayFactory::create<int>('c', {1, 3}, {3, 2, 4});
    auto v = NDArrayFactory::create<double>(2.);
    auto exp = NDArrayFactory::create<double>('c', {3, 2, 4});
    exp.assign(2.0f);

    sd::ops::fill op;
    auto result = op.evaluate({&x, &v});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_FirasSparce_1) {
    auto x = NDArrayFactory::create<double>('c', {1, 81});
    auto exp = NDArrayFactory::create<double>('c', {1, 2}, {0, 1});

    x.p(51, 1);
    x.p(52, 0);
    x.p(60, 1);
    x.p(61, 0);
    sd::ops::firas_sparse op;
    auto result = op.evaluate({&x}, {0, 1});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);
//    z->printIndexedBuffer("FIRAS");
//    z->printShapeInfo("OUTSHAPE");
//    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_FlattenTests_1) {
    auto x = NDArrayFactory::create<double>('c', {3, 3, 3, 3});
    auto exp = NDArrayFactory::create<double>('c', {81});

    x.linspace(1);
    exp.linspace(1);
    sd::ops::flatten op;
    auto result = op.evaluate({&x}, {}, {'c'});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);
//    z->printIndexedBuffer("Flatten1");
//    z->printShapeInfo("Flatten1 shape");
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_FlattenTests_2) {
    auto x = NDArrayFactory::create<double>('c', {3, 3, 3, 3});
    auto y = NDArrayFactory::create<double>('c', {3, 3});
    auto exp = NDArrayFactory::create<double>('c', {90});

    x.linspace(1);
    y.linspace(82);
    exp.linspace(1);
    sd::ops::flatten op;
    auto result = op.evaluate({&x, &y}, {}, {'c'});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);
//    z->printIndexedBuffer("Flatten2");
//    z->printShapeInfo("Flatten2 shape");

    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_FlattenTests_3) {
    NDArray x('c', {2,2}, {1, 2, 3, 4}, sd::DataType::INT32);
    NDArray y('f', {2,2}, sd::DataType::INT32);
    NDArray exp('c', {8}, {1, 2, 3, 4, 1, 2, 3, 4}, sd::DataType::INT32);

    y.assign(x);

    sd::ops::flatten op;
    auto result = op.evaluate({&x, &y}, {}, {'c'});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_FlattenTests_4) {
    NDArray x('c', {2,2}, {1, 2, 3, 4}, sd::DataType::INT32);
    NDArray y('f', {2,2}, sd::DataType::INT32);
    NDArray exp('c', {8}, {1, 3, 2, 4, 1, 3, 2, 4}, sd::DataType::INT32);

    y.assign(x);

    sd::ops::flatten op;
    auto result = op.evaluate({&x, &y}, {}, {'f'});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_FloorTests_1) {
    auto x = NDArrayFactory::create<double>('c', {3, 3}, {1.5, 2.3, 3.4, 4.3, 5.9, 6.1, 7.2, 8.9, 9.7});
    auto exp = NDArrayFactory::create<double>('c', {3,3});

    exp.linspace(1);
    sd::ops::Floor op;
    auto result = op.evaluate({&x});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);
//    z->printIndexedBuffer("Flatten1");
//    z->printShapeInfo("Flatten1 shape");
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_Split_1) {
    auto x = NDArrayFactory::create<double>('c', {5, 30});
    auto sizes = NDArrayFactory::create<int>('c', {1, 3}, {4, 15, 11});

    std::vector<Nd4jLong> list0({0,0, 0,4});
    std::vector<Nd4jLong> list1({0,0, 4,19});
    std::vector<Nd4jLong> list2({0,0, 19,30});

    auto sub0 = x(list0, true);
    auto sub1 = x(list1, true);
    auto sub2 = x(list2, true);

    sub0.assign(0.0);
    sub1.assign(1.0);
    sub2.assign(2.0);


    sd::ops::split_v op;
    auto result = op.evaluate({&x, &sizes}, {}, {1});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    ASSERT_EQ(3, result.size());

    auto z0 = result.at(0);
    auto z1 = result.at(1);
    auto z2 = result.at(2);

    ASSERT_TRUE(sub0.isSameShape(z0));
    ASSERT_TRUE(sub1.isSameShape(z1));
    ASSERT_TRUE(sub2.isSameShape(z2));

    ASSERT_TRUE(sub0.equalsTo(z0));
    ASSERT_TRUE(sub1.equalsTo(z1));
    ASSERT_TRUE(sub2.equalsTo(z2));


}

// special test for TF mode, when axis goes first
TEST_F(DeclarableOpsTests4, Test_Split_2) {
    auto x = NDArrayFactory::create<double>('c', {5, 12});
    auto axis = NDArrayFactory::create<double>('c', {1, 1}, {1.f});

    std::vector<Nd4jLong> list0 = {0,0, 0,3};
    std::vector<Nd4jLong> list1 = {0,0, 3,6};
    std::vector<Nd4jLong> list2 = {0,0, 6,9};
    std::vector<Nd4jLong> list3 = {0,0, 9,12};

    auto sub0 = x(list0, true);
    auto sub1 = x(list1, true);
    auto sub2 = x(list2, true);
    auto sub3 = x(list3, true);

    sub0.assign(0.0f);
    sub1.assign(1.0f);
    sub2.assign(2.0f);
    sub3.assign(3.0f);


    sd::ops::split op;
    auto result = op.evaluate({&axis, &x}, {}, {4});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z0 = result.at(0);
    auto z1 = result.at(1);
    auto z2 = result.at(2);
    auto z3 = result.at(3);

    ASSERT_TRUE(sub0.isSameShape(z0));
    ASSERT_TRUE(sub1.isSameShape(z1));
    ASSERT_TRUE(sub2.isSameShape(z2));
    ASSERT_TRUE(sub3.isSameShape(z3));

    ASSERT_TRUE(sub0.equalsTo(z0));
    ASSERT_TRUE(sub1.equalsTo(z1));
    ASSERT_TRUE(sub2.equalsTo(z2));
    ASSERT_TRUE(sub3.equalsTo(z3));


}

// special test for TF mode, when axis goes first
TEST_F(DeclarableOpsTests4, Test_Split_3) {
    auto x = NDArrayFactory::create<double>('c', {6, 12});
    auto axis = NDArrayFactory::create<double>('c', {1, 1}, {0.f});

    std::vector<Nd4jLong> list0 = {0,2, 0,0};
    std::vector<Nd4jLong> list1 = {2,4, 0,0};
    std::vector<Nd4jLong> list2 = {4,6, 0,0};

    auto sub0 = x(list0, true);
    auto sub1 = x(list1, true);
    auto sub2 = x(list2, true);

    sub0.assign(0.0f);
    sub1.assign(1.0f);
    sub2.assign(2.0f);

    sd::ops::split op;
    auto result = op.evaluate({&axis, &x}, {}, {3});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z0 = result.at(0);
    auto z1 = result.at(1);
    auto z2 = result.at(2);

    ASSERT_TRUE(sub0.isSameShape(z0));
    ASSERT_TRUE(sub1.isSameShape(z1));
    ASSERT_TRUE(sub2.isSameShape(z2));

    ASSERT_TRUE(sub0.equalsTo(z0));
    ASSERT_TRUE(sub1.equalsTo(z1));
    ASSERT_TRUE(sub2.equalsTo(z2));
}

///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, split_test4) {

    auto input = NDArrayFactory::create<double>('c', {10},{1.f,2.f,3.f,4.f,5.f,6.f,7.f,8.f,9.f,10.f});
    auto axis = NDArrayFactory::create<double>(-1);
    auto exp1 = NDArrayFactory::create<double>('c', {5}, {1.f,2.f,3.f,4.f,5.f});
    auto exp2 = NDArrayFactory::create<double>('c', {5}, {6.f,7.f,8.f,9.f,10.f});

    sd::ops::split op;
    auto results = op.evaluate({&input, &axis}, {}, {2}, {});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    auto out1 = results.at(0);
    auto out2 = results.at(1);

    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.equalsTo(out2));
}


///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, split_test5) {

    auto input = NDArrayFactory::create<double>('c', {3,8},{1.f,2.f,3.f,4.f,5.f,6.f,7.f,8.f,9.f,10.f,11.f,12.f,13.f,14.f,15.f,16.f,17.f,18.f,19.f,20.f,21.f,22.f,23.f,24.f});
    auto exp1 = NDArrayFactory::create<double>('c', {3,4}, {1.f,2.f,3.f,4.f, 9.f,10.f,11.f,12.f, 17.f,18.f,19.f,20.f});
    auto exp2 = NDArrayFactory::create<double>('c', {3,4}, {5.f,6.f,7.f,8.f, 13.f,14.f,15.f,16.f, 21.f,22.f,23.f,24.f});

    sd::ops::split op;
    auto results = op.evaluate({&input}, {}, {2,-1},{});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    auto out1 = results.at(0);
    auto out2 = results.at(1);

    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.equalsTo(out2));
}

///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, split_test6) {

    NDArray input('c', {0,4}, sd::DataType::FLOAT32);
    std::vector<Nd4jLong> expShape = {0,1};

    const int numSplits = 4;
    const int axis = 1;

    sd::ops::split op;
    auto results = op.evaluate({&input}, {}, {numSplits, axis}, {});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    for (int i = 0; i < numSplits; ++i)
        ASSERT_TRUE(results.at(i)->isSameShape(expShape));
}

///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, split_test7) {

    NDArray input('c', {0,4}, sd::DataType::FLOAT32);
    std::vector<Nd4jLong> expShape = {0,4};

    const int numSplits = 4;
    const int axis = 0;

    sd::ops::split op;
    auto results = op.evaluate({&input}, {}, {numSplits, axis}, {});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    for (int i = 0; i < numSplits; ++i)
        ASSERT_TRUE(results.at(i)->isSameShape(expShape));
}


TEST_F(DeclarableOpsTests4, Test_Squeeze_args_1) {
    auto x = NDArrayFactory::create<double>('c', {2, 1, 1, 1, 2}, {1, 2, 3, 4});
    auto exp = NDArrayFactory::create<double>('c', {2, 1, 2}, {1, 2, 3, 4});

    sd::ops::squeeze op;
    auto result = op.evaluate({&x}, {}, {1, 3});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_Squeeze_args_2) {
    auto x = NDArrayFactory::create<double>('c', {2, 1, 1, 1, 2}, {1, 2, 3, 4});
    auto y = NDArrayFactory::create<double>('c', {2}, {1.f, 3.f});
    auto exp = NDArrayFactory::create<double>('c', {2, 1, 2}, {1, 2, 3, 4});

    sd::ops::squeeze op;
    auto result = op.evaluate({&x, &y}, {}, {});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}


TEST_F(DeclarableOpsTests4, Test_Squeeze_args_3) {
    auto x = NDArrayFactory::create<double>('c', {2, 1, 1, 1, 2}, {1, 2, 3, 4});
    auto exp = NDArrayFactory::create<double>('c', {2, 1, 2}, {1, 2, 3, 4});

    sd::ops::squeeze op;
    auto result = op.evaluate({&x}, {}, {-2, -3});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_SpaceToDepth_1) {
    auto x = NDArrayFactory::create<double>('c', {1, 2, 2, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto exp = NDArrayFactory::create<double>('c', {1, 1, 1, 12}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});

    sd::ops::space_to_depth op;
    auto result = op.evaluate({&x}, {}, {2, 1});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_SpaceToDepth_2) {
    auto x = NDArrayFactory::create<double>('c', {1, 3, 2, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto exp = NDArrayFactory::create<double>('c', {1, 12, 1, 1}, {1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12});

    sd::ops::space_to_depth op;
    auto result = op.evaluate({&x}, {}, {2, 0});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}


TEST_F(DeclarableOpsTests4, Test_DepthToSpace_1) {
    auto x = NDArrayFactory::create<double>('c', {1, 1, 1, 12}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto exp = NDArrayFactory::create<double>('c', {1, 2, 2, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});

    sd::ops::depth_to_space op;
    auto result = op.evaluate({&x}, {}, {2, 1});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}


TEST_F(DeclarableOpsTests4, Test_DepthToSpace_2) {
    auto x = NDArrayFactory::create<double>('c', {1, 12, 1, 1}, {1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12});
    auto exp = NDArrayFactory::create<double>('c', {1, 3, 2, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});

    sd::ops::depth_to_space op;
    auto result = op.evaluate({&x}, {}, {2, 0});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_DepthToSpace_3) {
    auto x = NDArrayFactory::create<double>('c', {4, 4, 16, 16});
    auto exp = NDArrayFactory::create<double>('c', {4, 16, 64, 1});

    sd::ops::depth_to_space op;
    auto result = op.evaluate({&x}, {}, {4, 1});
    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));


}


TEST_F(DeclarableOpsTests4, Test_Cross_1) {
    auto a = NDArrayFactory::create<double>('c', {3}, {1, 2, 3});
    auto b = NDArrayFactory::create<double>('c', {3}, {6, 7, 8});
    auto exp = NDArrayFactory::create<double>('c', {3}, {-5, 10, -5});

    sd::ops::cross op;
    auto result = op.evaluate({&a, &b});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}


TEST_F(DeclarableOpsTests4, Test_Cross_2) {
    auto a = NDArrayFactory::create<double>('c', {2, 3}, {1, 2, 3, 1, 2, 3});
    auto b = NDArrayFactory::create<double>('c', {2, 3}, {6, 7, 8, 6, 7, 8});
    auto exp = NDArrayFactory::create<double>('c', {2, 3}, {-5, 10, -5, -5, 10, -5});

    sd::ops::cross op;
    auto result = op.evaluate({&a, &b});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}


TEST_F(DeclarableOpsTests4, Test_Cross_3) {
    auto a = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
    auto b = NDArrayFactory::create<double>('c', {3, 3}, {2, 3, 4, 7, 6, 5, 6, 3, 2});
    auto exp = NDArrayFactory::create<double>('c', {3, 3}, { -1,   2,  -1, -11,  22, -11, -11,  40, -27});

    sd::ops::cross op;
    auto result = op.evaluate({&a, &b});
    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_Add_119) {
    auto a = NDArrayFactory::create<double>('c', {1, 4}, {1, 2, 3, 4});
    auto b = NDArrayFactory::create<double>('c', {4}, {1, 2, 3, 4});
    auto exp = NDArrayFactory::create<double>('c', {1, 4}, {2, 4, 6, 8});

    sd::ops::add op;
    auto result = op.evaluate({&a, &b});

    ASSERT_EQ(ND4J_STATUS_OK, result.status());

    auto z = result.at(0);

    ASSERT_EQ(2, z->rankOf());

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_TileToShape_1) {
    auto x = NDArrayFactory::create<double>('c', {2, 1, 3});
    auto exp = NDArrayFactory::create<double>('c', {2, 4, 3}, {1.f, 2.f, 3.f,1.f, 2.f, 3.f,1.f, 2.f, 3.f,1.f, 2.f, 3.f,
                                        4.f, 5.f, 6.f,4.f, 5.f, 6.f,4.f, 5.f, 6.f,4.f, 5.f, 6.f});
    x.linspace(1.f);

    sd::ops::tile_to_shape op;
    auto result = op.evaluate({&x},{}, {2, 4, 3});

    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_StridedSlice_Alex_1) {
    auto x = NDArrayFactory::create<double>('c', {3, 4, 5});
    x.linspace(1);
    auto exp = NDArrayFactory::create<double>('c', {1,3,4,5});
    exp.linspace(1);

    sd::ops::strided_slice op;
    auto result = op.evaluate({&x}, {}, {0,0,0,1,0, -999,0,0,0, -999,3,4,5, -999,1,1,1});

    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_StridedSlice_Alex_2) {
    auto x = NDArrayFactory::create<double>('c', {3, 4, 5});
    auto begin = NDArrayFactory::create<double>('c', {4}, {-999,0,0,0});
    auto end = NDArrayFactory::create<double>('c', {4}, {-999,3,4,5});
    auto stride = NDArrayFactory::create<double>('c', {4}, {-999,1,1,1});
    x.linspace(1);
    auto exp = NDArrayFactory::create<double>('c', {1,3,4,5});
    exp.linspace(1);

    sd::ops::strided_slice op;
    auto result = op.evaluate({&x, &begin, &end, &stride}, {}, {0,0,0,1,0});

    ASSERT_EQ(Status::OK(), result.status());

    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);

    ASSERT_TRUE(exp.isSameShape(z));
    ASSERT_TRUE(exp.equalsTo(z));


}

TEST_F(DeclarableOpsTests4, Test_StridedSlice_Alex_3) {
    int axis = 0;
    auto x = NDArrayFactory::create<double>('c', {1}, {10});
    auto begin = NDArrayFactory::create<int>('c', {1}, {axis});
    auto end = NDArrayFactory::create<int>('c', {1}, {axis});
    auto stride = NDArrayFactory::create<int>('c', {1}, {1});
    //x.linspace(1);
    //auto exp = NDArrayFactory::create<double>('c', {1,3,4,5});
    //exp.linspace(1);

    sd::ops::strided_slice op;
    auto result = op.evaluate({&x, &begin, &end, &stride}, {}, {1,0,0,0,0});

    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);
    ASSERT_TRUE(z->isEmpty());


}
TEST_F(DeclarableOpsTests4, Test_StridedSlice_Alex_4) {
    auto x = NDArrayFactory::create<double>('c', {1,3}, {1, 2, 3});
    auto begin = NDArrayFactory::create<double>('c', {2}, {0, 0});
    auto end = NDArrayFactory::create<double>('c', {2}, {0,1});
    auto stride = NDArrayFactory::create<double>('c', {2}, {1,1});
//    x.linspace(1);
    auto exp = NDArrayFactory::create<double>('c', {1}, {1});
    //exp.linspace(1);

    sd::ops::strided_slice op;
    auto result = op.evaluate({&x, &begin, &end, &stride}, {}, {1,0,1,0,2});

    ASSERT_EQ(Status::OK(), result.status());

    auto z = result.at(0);
    ASSERT_TRUE(z->lengthOf() == 1);
    ASSERT_TRUE(exp.equalsTo(z));

}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test1) {

    auto x1 = NDArrayFactory::create<double>('c', {2,2,2});
    auto x2 = NDArrayFactory::create<double>('c', {2,2,2});
    auto x3 = NDArrayFactory::create<double>('c', {2,2,2});
    x1.linspace(1);
    x2.linspace(9);
    x3.linspace(17);

    auto expected = NDArrayFactory::create<double>('c', {3,2,2,2});
    expected.linspace(1);

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1, &x2, &x3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test2) {

    auto x1 = NDArrayFactory::create<double>('c', {1,2}, {1,2});
    auto x2 = NDArrayFactory::create<double>('c', {1,2}, {3,4});
    auto x3 = NDArrayFactory::create<double>('c', {1,2}, {5,6});

    auto expected = NDArrayFactory::create<double>('c', {3,1,2}, {1,2,3,4,5,6});

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1, &x2, &x3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));



}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test3) {

    auto x1 = NDArrayFactory::create<double>('c', {2,1}, {1,2});
    auto x2 = NDArrayFactory::create<double>('c', {2,1}, {3,4});
    auto x3 = NDArrayFactory::create<double>('c', {2,1}, {5,6});

    auto expected = NDArrayFactory::create<double>('c', {3,2,1}, {1,2,3,4,5,6});

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1, &x2, &x3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}
\
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test4) {

    auto x1 = NDArrayFactory::create<double>('c', {2}, {1,2});
    auto x2 = NDArrayFactory::create<double>('c', {2}, {3,4});
    auto x3 = NDArrayFactory::create<double>('c', {2}, {5,6});

    auto expected = NDArrayFactory::create<double>('c', {3,2}, {1,2,3,4,5,6});

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1, &x2, &x3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test5) {

    auto x1 = NDArrayFactory::create<double>('c', {1}, {1});
    auto x2 = NDArrayFactory::create<double>('c', {1}, {3});
    auto x3 = NDArrayFactory::create<double>('c', {1}, {5});

    auto expected = NDArrayFactory::create<double>('c', {3,1}, {1,3,5});

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1, &x2, &x3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test6) {

    auto x1 = NDArrayFactory::create<double>(1.);
    auto x2 = NDArrayFactory::create<double>(3.);
    auto x3 = NDArrayFactory::create<double>(5.);

    auto expected = NDArrayFactory::create<double>('c', {3}, {1,3,5});

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1, &x2, &x3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, parallel_stack_test7) {

    auto x1 = NDArrayFactory::create<double>(1.);
    auto expected = NDArrayFactory::create<double>('c', {1}, {1.});

    sd::ops::parallel_stack op;
    auto  results = op.evaluate({&x1});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test1) {

    auto in0 = NDArrayFactory::create<double>('c', {2}, {1, 2});
    auto in1 = NDArrayFactory::create<double>('c', {3}, {10, 20, 30});
    auto in2 = NDArrayFactory::create<double>('c', {4}, {100, 200, 300, 400});
    auto exp0 = NDArrayFactory::create<double>('c', {2,3,4}, {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2});
    auto exp1 = NDArrayFactory::create<double>('c', {2,3,4}, {10, 10, 10, 10, 20, 20, 20, 20, 30, 30, 30, 30, 10, 10, 10, 10, 20, 20, 20, 20, 30, 30, 30, 30});
    auto exp2 = NDArrayFactory::create<double>('c', {2,3,4}, {100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2}, {}, {0});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    // out0->printIndexedBuffer();

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test2) {

    auto in0 = NDArrayFactory::create<double>('c', {2}, {1, 2});
    auto in1 = NDArrayFactory::create<double>('c', {3}, {10, 20, 30});
    auto in2 = NDArrayFactory::create<double>('c', {4}, {100, 200, 300, 400});
    auto exp0 = NDArrayFactory::create<double>('c', {3,2,4}, {1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2});
    auto exp1 = NDArrayFactory::create<double>('c', {3,2,4}, {10, 10, 10, 10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 30, 30, 30, 30, 30, 30, 30, 30});
    auto exp2 = NDArrayFactory::create<double>('c', {3,2,4}, {100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test3) {

    auto in0 = NDArrayFactory::create<double>('c', {2}, {1, 2});
    auto in1 = NDArrayFactory::create<double>('c', {1,3}, {10, 20, 30});
    auto in2 = NDArrayFactory::create<double>('c', {2,2}, {100, 200, 300, 400});
    auto exp0 = NDArrayFactory::create<double>('c', {3,2,4}, {1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2});
    auto exp1 = NDArrayFactory::create<double>('c', {3,2,4}, {10, 10, 10, 10, 10, 10, 10, 10, 20, 20, 20, 20, 20, 20, 20, 20, 30, 30, 30, 30, 30, 30, 30, 30});
    auto exp2 = NDArrayFactory::create<double>('c', {3,2,4}, {100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test4) {

    auto in0 = NDArrayFactory::create<double>('c', {1,2}, {1, 2});
    auto in1 = NDArrayFactory::create<double>('c', {3,1}, {10, 20, 30});
    auto in2 = NDArrayFactory::create<double>('c', {1,4,1}, {100, 200, 300, 400});
    auto exp0 = NDArrayFactory::create<double>('c', {2,3,4}, {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2});
    auto exp1 = NDArrayFactory::create<double>('c', {2,3,4}, {10, 10, 10, 10, 20, 20, 20, 20, 30, 30, 30, 30, 10, 10, 10, 10, 20, 20, 20, 20, 30, 30, 30, 30});
    auto exp2 = NDArrayFactory::create<double>('c', {2,3,4}, {100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400, 100, 200, 300, 400});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2}, {}, {0});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test5) {

    auto in0 = NDArrayFactory::create<double>(1);
    auto in1 = NDArrayFactory::create<double>(2);
    auto in2 = NDArrayFactory::create<double>(3);
    auto exp0 = NDArrayFactory::create<double>('c', {1,1,1}, {1});
    auto exp1 = NDArrayFactory::create<double>('c', {1,1,1}, {2});
    auto exp2 = NDArrayFactory::create<double>('c', {1,1,1}, {3});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2}, {}, {0});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test6) {

    auto in0 = NDArrayFactory::create<double>('c', {2,2},{1,2,3,4});
    auto in1 = NDArrayFactory::create<double>(5);
    auto in2 = NDArrayFactory::create<double>(6);
    auto exp0 = NDArrayFactory::create<double>('c', {4,1,1}, {1,2,3,4});
    auto exp1 = NDArrayFactory::create<double>('c', {4,1,1}, {5,5,5,5});
    auto exp2 = NDArrayFactory::create<double>('c', {4,1,1}, {6,6,6,6});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2}, {}, {0});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test7) {

    auto in0 = NDArrayFactory::create<double>('c', {2,2},{1,2,3,4});
    auto in1 = NDArrayFactory::create<double>(5);
    auto in2 = NDArrayFactory::create<double>(6);
    auto exp0 = NDArrayFactory::create<double>('c', {1,4,1}, {1,2,3,4});
    auto exp1 = NDArrayFactory::create<double>('c', {1,4,1}, {5,5,5,5});
    auto exp2 = NDArrayFactory::create<double>('c', {1,4,1}, {6,6,6,6});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0, &in1, &in2}, {}, {1});
    auto  out0 = results.at(0);
    auto  out1 = results.at(1);
    auto  out2 = results.at(2);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));
    ASSERT_TRUE(exp1.isSameShape(out1));
    ASSERT_TRUE(exp1.equalsTo(out1));
    ASSERT_TRUE(exp2.isSameShape(out2));
    ASSERT_TRUE(exp2.equalsTo(out2));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test8) {

    auto in0 = NDArrayFactory::create<double>(5);
    auto exp0 = NDArrayFactory::create<double>('c', {1}, {5});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0}, {}, {0});
    auto  out0 = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, meshgrid_test9) {

    auto in0 = NDArrayFactory::create<double>(5);
    auto exp0 = NDArrayFactory::create<double>('c', {1}, {5});

    sd::ops::meshgrid op;
    auto  results = op.evaluate({&in0}, {}, {1});
    auto  out0 = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp0.isSameShape(out0));
    ASSERT_TRUE(exp0.equalsTo(out0));


}

////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, WeightedCrossEntropyWithLogits_1) {


    auto input    = NDArrayFactory::create<double>('c', {2, 3}, {11.f, 13.f,  4.f, 15.f,  6.f,  3.f});
    auto targets  = NDArrayFactory::create<double>('c', {2, 3}, {15.5f, 15.7f,  5.f , 15.f,   5.f,   6.f});
    auto weight  = NDArrayFactory::create<double>(0.7f);
    auto expected = NDArrayFactory::create<double>('c', {2, 3}, {-159.50006,  -191.1, -16.009075, -210., -24.001238, -15.03887});

//Targets {15.5f, 15.7f,  5.f , 15.f,   5.f,   6.f};
//----------
//Inputs {11.f, 13.f,  4.f, 15.f,  6.f,  3.f};
//----------
//Weights [0.7]
//Result {-159.50006,  -191.1,       -16.009075, -210., -24.001238,  -15.03887}

    sd::ops::weighted_cross_entropy_with_logits op;
    auto results = op.evaluate({&targets, &input, &weight});
    auto  output = results.at(0);

    // output->printIndexedBuffer();

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, WeightedCrossEntropyWithLogits_2) {


    auto input    = NDArrayFactory::create<double>('c', {2, 3}, {11.f,   13.f,  4.f, 15.f,  6.f,  3.f});
    auto targets  = NDArrayFactory::create<double>('c', {2, 3}, {15.5f, 15.7f,  5.f, 15.f,  5.f,  6.f});
    auto weights  = NDArrayFactory::create<double>({0.5f, 0.7f, 1.0f}) ;
    auto expected = NDArrayFactory::create<double>('c', {2, 3}, {-159.5001f, -191.1f, -15.98185f, -210.f,  -24.001238f, -14.951412f});

    sd::ops::weighted_cross_entropy_with_logits op;
    auto results = op.evaluate({&targets, &input, &weights});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}


///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, lstm_test1) {

    const int time      = 5;
    const int batchSize = 3;
    const int inSize    = 3;
    const int numProj   = 3;
    const int numUnits  = 3;

    auto x   = NDArrayFactory::create<double>('c', {time, batchSize, inSize});
    auto h0  = NDArrayFactory::create<double>('c', {batchSize, numProj});
    auto c0  = NDArrayFactory::create<double>('c', {batchSize, numUnits});
    auto Wx  = NDArrayFactory::create<double>('c', {inSize, 4*numUnits});
    auto Wh  = NDArrayFactory::create<double>('c', {numProj, 4*numUnits});
    auto Wc  = NDArrayFactory::create<double>('c', {3*numUnits});
    auto Wp  = NDArrayFactory::create<double>('c', {numUnits, numProj});
    auto b   = NDArrayFactory::create<double>('c', {4*numUnits});

    x.linspace(0.5, 0.5);
    h0 = 1.;
    c0 = 2.;
    Wx = 0.003;
    Wh = 0.006;
    Wc = 0.;
    Wp = 0.;
    b = 0.5;

    auto expH = NDArrayFactory::create<double>('c', {time, batchSize, numProj}, {0.57574,0.57574,0.57574,0.58006,0.58006,0.58006,0.58434,0.58434,0.58434,
                                                           0.55114,0.55114,0.55114,0.55732,0.55732,0.55732,0.56338,0.56338,0.56338,
                                                           0.53763,0.53763,0.53763,0.54534,0.54534,0.54534,0.55287,0.55287,0.55287,
                                                           0.53626,0.53626,0.53626,0.54487,0.54487,0.54487,0.55327,0.55327,0.55327,
                                                           0.54484,0.54484,0.54484,0.55379,0.55379,0.55379,0.5625 ,0.5625 ,0.5625});

    auto expClast = NDArrayFactory::create<double>('c', {1, batchSize, numProj}, {1.1589154,1.1589154,1.1589154,1.1892855,1.1892855,1.1892855,1.219861 ,1.219861 ,1.219861});

    sd::ops::lstm op;
    auto results = op.evaluate({&x, &h0, &c0, &Wx, &Wh, &Wc, &Wp, &b}, {0., 0., 0.}, {0, 0});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    auto *h = results.at(0);
    auto *c = results.at(1);
    auto cLast = (*c)({4,5,0,0,0,0},true);

    ASSERT_TRUE(expH.isSameShape(h));
    ASSERT_TRUE(expH.equalsTo(h));

    ASSERT_TRUE(expClast.isSameShape(&cLast));
    ASSERT_TRUE(expClast.equalsTo(&cLast));


}

///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, relu6_test1) {

    auto input  = NDArrayFactory::create<double>('c', {2,4}, {-13.,10,-5,0,2,7,6,12});
    auto expected  = NDArrayFactory::create<double>('c', {2,4}, {0., 6., 0., 0.,2., 6., 6., 6.});

    sd::ops::relu6 op;
    auto results = op.evaluate({&input}, {0.}, {});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    auto  output = results.at(0);

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}


///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, relu6_bp_test1) {

    auto input  = NDArrayFactory::create<double>('c', {2,4}, {-13.,10, -5,  0,  2,  7,  6,  5});
    auto gradO  = NDArrayFactory::create<double>('c', {2,4}, {-1., -2., 0., 4., 5., 6., 7., 8.});

    auto expected  = NDArrayFactory::create<double>('c', {2,4}, {0., 0., 0., 0., 5., 0., 0., 8.});

    sd::ops::relu6_bp op;
    auto results = op.evaluate({&input, &gradO}, {0.});

    ASSERT_EQ(ND4J_STATUS_OK, results.status());

    auto  output = results.at(0);

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

////////////////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, LrnTest_1) {

    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, { 5.5f, 0.f, 0.3f, 5.5f,
                                            8.6f, 0.f,  0.f, 0.4f,
                                            1.5f, 1.f, 1.3f, 1.5f,
                                            2.6f, 2.f,  3.f, 1.4f}
    );

    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, {
                                            0.98386997f,        0.f,  0.05358852f,  0.9824562f,
                                            0.99330735f,        0.f,          0.f, 0.37139067f,
                                            0.72760683f, 0.4850712f,   0.5848977f, 0.67488194f,
                                            0.7581754f,  0.58321184f, 0.86747235f, 0.4048204f}
    );

    sd::ops::lrn op;
    auto results = op.evaluate({&x}, {1.0, 1.0, 0.5}, {5});
    auto out = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp.isSameShape(out));
    // out->printIndexedBuffer("LRN out");
    // exp.printIndexedBuffer("LRN exp");
    ASSERT_TRUE(exp.equalsTo(out));


}


////////////////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, LrnTest_2) {

    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, { 5.5f, 0.f, 0.3f, 5.5f,
                                            8.6f, 0.f,  0.f, 0.4f,
                                            1.5f, 1.f, 1.3f, 1.5f,
                                            2.6f, 2.f,  3.f, 1.4f});

    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 2}, {
                                            0.98386997f,        0.f,  0.05358852f,  0.9824562f,
                                            0.99330735f,        0.f,          0.f, 0.37139067f,
                                            0.72760683f, 0.4850712f,   0.5848977f, 0.67488194f,
                                            0.7581754f,  0.58321184f, 0.86747235f, 0.4048204f});

    sd::ops::lrn op;
    auto results = op.evaluate({&x}, {1.0, 1.0, 0.5}, {2});
    auto out = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp.isSameShape(out));
    // out->printIndexedBuffer("LRN out");
    // exp.printIndexedBuffer("LRN exp");
    ASSERT_TRUE(exp.equalsTo(out));


}

////////////////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, LrnTest_3) {

    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4}, {

                5.5f, 0.f, 0.3f, 5.5f,
                1.5f, 0.f, 1.3f, 6.5f,
                8.6f, 0.f,  0.f, 0.4f,
                2.5f, 1.f, 0.3f, 4.5f,
                1.5f, 1.f, 1.3f, 1.5f,
                3.5f, 0.f, 1.3f, 2.5f,
                2.6f, 2.f,  3.f, 1.4f,
                4.5f, 1.f, 0.3f, 0.5f}
    );

    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4}, {
                     0.9824562f, 0.f, 0.03822664f, 0.9824562f,
                    0.67488194f, 0.f, 0.18924236f, 0.96960944f,
                    0.99330735f, 0.f, 0.f, 0.37139067f,
                    0.86567914f, 0.18702209f, 0.05610663f, 0.9520745f,
                     0.6154575f, 0.34942827f, 0.45425674f, 0.6154575f,
                      0.905509f, 0.f, 0.2824086f, 0.8361251f,
                    0.57063663f, 0.41959068f, 0.629386f, 0.3504383f,
                     0.9520745f, 0.21039814f, 0.06311944f, 0.3268602f }
    );

    sd::ops::lrn op;
    auto results = op.evaluate({&x}, {1.0, 1.0, 0.5}, {2});
    auto out = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp.isSameShape(out));
    // out->printIndexedBuffer("LRN out");
    // exp.printIndexedBuffer("LRN exp");
    ASSERT_TRUE(exp.equalsTo(out));


}

////////////////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, LrnTest_4) {

    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4}, {

                    5.5f, 0.f, 0.3f, 5.5f,
                    1.5f, 0.f, 1.3f, 6.5f,
                    8.6f, 0.f, 0.f, 0.4f,
                    2.5f, 1.f, 0.3f, 4.5f,
                    1.5f, 1.f, 1.3f, 1.5f,
                    3.5f, 0.f, 1.3f, 2.5f,
                    2.6f, 2.f, 3.f, 1.4f,
                    4.5f, 1.f, 0.3f, 0.5f}
    );

    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4}, {
                    0.70082176f, 0.f, 0.03822664f, 0.70082176f,
                    0.21835658f, 0.f, 0.18924236f, 0.9462118f,
                     0.9922489f, 0.f, 0.f, 0.04615111f,
                    0.46755522f, 0.18702209f, 0.05610663f, 0.8415994f,
                     0.5241424f, 0.34942827f, 0.45425674f, 0.5241424f,
                    0.76033086f, 0.f, 0.2824086f, 0.54309344f,
                    0.54546785f, 0.41959068f, 0.629386f, 0.29371348f,
                    0.94679165f, 0.21039814f, 0.06311944f, 0.10519907f}
    );

    sd::ops::lrn op;
    auto  results = op.evaluate({&x}, {1.0, 1.0, 0.5}, {5});
    auto out = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp.isSameShape(out));
    // out->printIndexedBuffer("LRN out");
    // exp.printIndexedBuffer("LRN exp");
    ASSERT_TRUE(exp.equalsTo(out));


}

////////////////////////////////////////////////////////////////////////////////
TYPED_TEST(TypedDeclarableOpsTests4, LrnTest_5) {

    auto x = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4}, {

                5.5f, 0.f, 0.3f, 5.5f,
                1.5f, 0.f, 1.3f, 6.5f,
                8.6f, 0.f, 0.f, 0.4f,
                2.5f, 1.f, 0.3f, 4.5f,
                1.5f, 1.f, 1.3f, 1.5f,
                3.5f, 0.f, 1.3f, 2.5f,
                2.6f, 2.f, 3.f, 1.4f,
                4.5f, 1.f, 0.3f, 0.5f}
    );

    auto eps = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4}, {
                0.70082176f, 0.f, 0.03822664f, 0.70082176f,
                0.21835658f, 0.f, 0.18924236f, 0.9462118f,

                0.9922489f, 0.f, 0.f, 0.04615111f,
                0.46755522f, 0.18702209f, 0.05610663f, 0.8415994f,


                0.5241424f, 0.34942827f, 0.45425674f, 0.5241424f,
                0.76033086f, 0.f, 0.2824086f, 0.54309344f,

                0.54546785f, 0.41959068f, 0.629386f, 0.29371348f,
                0.94679165f, 0.21039814f, 0.06311944f, 0.10519907f}
    );

    auto exp = NDArrayFactory::create<TypeParam>('c', {2, 2, 2, 4});

    sd::ops::lrn_bp op;
    auto  results = op.evaluate({&x, &eps}, {1.0, 1.0, 0.5}, {5}, {}, {}, false);
    auto out = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());
    ASSERT_TRUE(exp.isSameShape(out));
    // out->printIndexedBuffer("LRN out");
    // exp.printIndexedBuffer("LRN exp");
//    ASSERT_TRUE(exp.equalsTo(out));


}


//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test1) {

    const int rows = 3;
    const int cols = 5;

    auto expected = NDArrayFactory::create<float>('c', {rows, cols}, {1.f, 0.f, 0.f, 0.f, 0.f, 1.f, 1.f, 0.f, 0.f, 0.f, 1.f, 1.f, 1.f, 0.f, 0.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows, cols});
    auto  output = results.at(0);

    // output->printIndexedBuffer();

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test2) {

    const int rows = 3;
    const int cols = 5;
    const int diag = 2;

    auto expected = NDArrayFactory::create<float>('c', {rows, cols}, {1.f, 1.f, 1.f, 0.f, 0.f, 1.f, 1.f, 1.f, 1.f, 0.f, 1.f, 1.f, 1.f, 1.f, 1.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows, cols, diag});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test3) {

    const int rows = 3;
    const int cols = 5;
    const int diag = -1;

    auto expected = NDArrayFactory::create<float>('c', {rows, cols}, {0.f, 0.f, 0.f, 0.f, 0.f, 1.f, 0.f, 0.f, 0.f, 0.f, 1.f, 1.f, 0.f, 0.f, 0.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows, cols, diag});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test4) {

    const int rows = 3;
    const int cols = 5;
    const int diag = -2;

    auto expected = NDArrayFactory::create<float>('c', {rows, cols}, {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 1.f, 0.f, 0.f, 0.f, 0.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows, cols, diag});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test5) {

    const int rows = 5;

    auto expected = NDArrayFactory::create<float>('c', {rows, rows}, {1.f, 0.f, 0.f, 0.f, 0.f, 1.f, 1.f, 0.f, 0.f, 0.f, 1.f, 1.f, 1.f, 0.f, 0.f, 1.f, 1.f, 1.f, 1.f, 0.f, 1.f, 1.f, 1.f, 1.f, 1.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test6) {

    const int rows = 3;
    const int cols = 5;
    const int diag = -20;

    auto expected = NDArrayFactory::create<float>('c', {rows, cols}, {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows, cols, diag});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, tri_test7) {

    const int rows = 3;
    const int cols = 5;
    const int diag = 20;

    auto expected = NDArrayFactory::create<float>('c', {rows, cols}, {1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f});

    sd::ops::tri op;
    auto results = op.evaluate({}, {}, {rows, cols, diag});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test1) {

    auto input = NDArrayFactory::create<double>('c', {4, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {4, 3}, {1,  2,  3, 0, 5, 6, 0,  0,  9, 0,  0, 0});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));



}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test2) {

    auto input = NDArrayFactory::create<double>('c', {4, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {4, 3}, {1,  2,  3,4,  5,  6,0,  8,  9,0,  0, 12});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {-1});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test3) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2,3, 4,0, 6,7, 8,9,10,0,12});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {-1});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test4) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {1,  2,0,  4,0,  0,7,  8,0, 10,0,  0});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test5) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {0, 2,0,  0,0,  0,0,  8,0, 0,0,  0});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {1});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test6) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {0, 0,0,  0,0,  0,0,  0,0, 0,0,  0});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {10});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test7) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {-10});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test8) {

    auto input = NDArrayFactory::create<double>('c', {6}, {1, 2, 3, 4, 5, 6});
    auto expected = NDArrayFactory::create<double>('c', {6, 6}, {1, 2, 3, 4, 5, 6,0, 2, 3, 4, 5, 6,0, 0, 3, 4, 5, 6,0, 0, 0, 4, 5, 6,0, 0, 0, 0, 5, 6,0, 0, 0, 0, 0, 6});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test9) {

    auto input = NDArrayFactory::create<double>('c', {6}, {1, 2, 3, 4, 5, 6});
    auto expected = NDArrayFactory::create<double>('c', {6, 6}, {1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 0, 2, 3, 4, 5, 6, 0, 0, 3, 4, 5, 6});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {-3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test10) {

    auto input = NDArrayFactory::create<double>('c', {6}, {1, 2, 3, 4, 5, 6});
    auto expected = NDArrayFactory::create<double>('c', {6, 6}, {0, 0, 0, 4, 5, 6, 0, 0, 0, 0, 5, 6, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {3});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_test11) {

    auto input = NDArrayFactory::create<double>('c', {6}, {1, 2, 3, 4, 5, 6});
    auto expected = NDArrayFactory::create<double>('c', {6, 6}, {1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6});

    sd::ops::triu op;
    auto results = op.evaluate({&input}, {}, {-58});
    auto  output = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(output));
    ASSERT_TRUE(expected.equalsTo(output));


}


//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_bp_test1) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto gradO = NDArrayFactory::create<double>('c', {2, 3, 2});
    gradO = 0.5;

    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {0.,0.5,0.,0. ,0.,0.       ,0.,0.5,0.,0. ,0.,0.});

    sd::ops::triu_bp op;
    auto results = op.evaluate({&input, &gradO}, {}, {1});
    auto  gradI = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(gradI));
    ASSERT_TRUE(expected.equalsTo(gradI));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_bp_test2) {

    auto input = NDArrayFactory::create<double>('c', {2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
    auto gradO = NDArrayFactory::create<double>('c', {2, 3, 2});
    gradO = 0.5;

    auto expected = NDArrayFactory::create<double>('c', {2, 3, 2}, {0.5,0.5,0. ,0.5,0. ,0. ,0.5,0.5,0. ,0.5,0. ,0.});

    sd::ops::triu_bp op;
    auto results = op.evaluate({&input, &gradO}, {}, {});
    auto  gradI = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(gradI));
    ASSERT_TRUE(expected.equalsTo(gradI));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_bp_test3) {

    auto input = NDArrayFactory::create<double>('c', {6}, {1, 2, 3, 4, 5, 6});
    auto gradO = NDArrayFactory::create<double>('c', {6,6});
    gradO = 0.5;

    auto expected = NDArrayFactory::create<double>('c', {6,6}, {0.5, 0.5, 0.5, 0.5, 0.5, 0.5,0.5, 0.5, 0.5, 0.5, 0.5, 0.5,0.5, 0.5, 0.5, 0.5, 0.5, 0.5,0. , 0.5, 0.5, 0.5, 0.5, 0.5,0. , 0. , 0.5, 0.5, 0.5, 0.5,0. , 0. , 0. , 0.5, 0.5, 0.5});

    sd::ops::triu_bp op;
    auto results = op.evaluate({&input, &gradO}, {}, {-2});
    auto  gradI = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(gradI));
    ASSERT_TRUE(expected.equalsTo(gradI));


}

//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests4, triu_bp_test4) {

    auto input = NDArrayFactory::create<double>('c', {2,3}, {1, 2, 3, 4, 5, 6});
    auto gradO = NDArrayFactory::create<double>('c', {2,3});
    gradO = 0.5;

    auto expected = NDArrayFactory::create<double>('c', {2,3}, {0., 0., 0., 0., 0., 0.});

    sd::ops::triu_bp op;
    auto results = op.evaluate({&input, &gradO}, {}, {10});
    auto  gradI = results.at(0);

    ASSERT_EQ(Status::OK(), results.status());

    ASSERT_TRUE(expected.isSameShape(gradI));
    ASSERT_TRUE(expected.equalsTo(gradI));


}