cavis/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests14.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
 ******************************************************************************/


//
// Created by raver on 8/4/2018.
//

#include "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <NDArray.h>
#include <ops/ops.h>
#include <GradCheck.h>


using namespace nd4j;


class DeclarableOpsTests14 : public testing::Test {
public:

    DeclarableOpsTests14() {
        printf("\n");
        fflush(stdout);
    }
};

TEST_F(DeclarableOpsTests14, Test_Validation_Edge_1) {
    auto x = NDArrayFactory::create<int>('c', {2}, {2, 2});
    auto exp = NDArrayFactory::create('c', {2, 2}, Environment::getInstance()->defaultFloatDataType());
    exp.assign(4.0f);

    nd4j::ops::fill op;
    auto result = op.execute({&x}, {4.0f},{}, {});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);

    ASSERT_EQ(exp, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, Test_Reshape_CF_1) {
    auto x = NDArrayFactory::create<double>('f', {2, 3}, {1.0, 4.0, 2.0, 5.0, 3.0, 6.0});
    auto e = NDArrayFactory::create<double>('f', {3, 2}, {1.0, 3.0, 5.0, 2.0, 4.0, 6.0});

    x.printShapeInfo("x shape");
    x.printBuffer("x buffr");
    x.printIndexedBuffer("x indxd");

    auto r = x.reshape('c', {3, 2});
    r.printIndexedBuffer("r pre-s");
    r.streamline('f');

    nd4j::ops::reshape op;
    auto result = op.execute({&x}, {}, {3, 2}, {});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);

    delete result;
}

TEST_F(DeclarableOpsTests14, Test_Inf_Comparison_1) {
    auto x = NDArrayFactory::create<double>('c', {5}, {1, 2, 3, std::numeric_limits<double>::infinity(), 5});
    auto y = NDArrayFactory::create<double>('c', {5}, {1, 2, 3, std::numeric_limits<double>::infinity(), 5});

    ASSERT_EQ(x, y);
}

TEST_F(DeclarableOpsTests14, Test_Inf_Comparison_2) {
    auto x = NDArrayFactory::create<double>('c', {5}, {1, 2, 3, std::numeric_limits<double>::infinity(), 5});
    auto y = NDArrayFactory::create<double>('c', {5}, {1, 2, 3, -std::numeric_limits<double>::infinity(), 5});

    ASSERT_NE(x, y);
}

TEST_F(DeclarableOpsTests14, Multiply_test) {

    for(int k=2;k<10;k++){
        nd4j_printf("k=%d\n", k);
        NDArray x = NDArrayFactory::create<double>('c', {k, 1});
        NDArray y = NDArrayFactory::create<double>('c', {k});
        NDArray e = NDArrayFactory::create<double>('c', {k, k});
        x.assign(1.0);
        y.assign(1.0);
        e.assign(1.0);

        nd4j::ops::multiply op;
        auto result = op.execute({&x, &y}, {}, {});
        auto f = result->at(0);
        NDArray r = *f;

        ASSERT_EQ(e, r);
        ASSERT_EQ(e, *f);

        delete result;
    }
}

TEST_F(DeclarableOpsTests14, Test_EvalReductionShape_1) {
    auto x = NDArrayFactory::create<int>('c', {3}, {5, 3, 4});
    auto y = NDArrayFactory::create<int>('c', {1}, {1});
    auto e = NDArrayFactory::create<Nd4jLong>('c', {2}, {5, 4});

    nd4j::ops::evaluate_reduction_shape op;
    auto result = op.execute({&x, &y}, {}, {}, {false, false});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    z->printIndexedBuffer("Reduced shape");
    ASSERT_EQ(e, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, Test_EvalReductionShape_2) {
    auto x = NDArrayFactory::create<int>('c', {3}, {5, 3, 4});
    auto y = NDArrayFactory::create<int>('c', {1}, {1});
    auto e = NDArrayFactory::create<Nd4jLong>('c', {3}, {5, 1, 4});

    nd4j::ops::evaluate_reduction_shape op;
    auto result = op.execute({&x, &y}, {}, {}, {true, false});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    ASSERT_EQ(e, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, Test_Reduce_Min_Small_0) {
    auto x = NDArrayFactory::create<float>('c', {3, 4}, {-999.f, 0.2236f, 0.7973f, 0.0962f, 0.7231f, 0.3381f, -0.7301f, 0.9115f, -0.5094f, 0.9749f, -2.1340f, 0.6023f});
    auto z = NDArrayFactory::create<float>('c', {4});
    auto e = NDArrayFactory::create<float>('c', {4}, {-999.f, 0.2236f, -2.1340f, 0.0962f});

    nd4j::ops::reduce_min op;
    op.execute({&x}, {&z}, {}, {0}, {});

    //z.printIndexedBuffer("Z");

    ASSERT_EQ(e, z);
}

TEST_F(DeclarableOpsTests14, Test_Reduce_Min_Small_1) {
    auto x = NDArrayFactory::create<float>('c', {3, 4}, {-999.f, 0.2236f, 0.7973f, 0.0962f, 0.7231f, 0.3381f, -0.7301f, 0.9115f, -0.5094f, 0.9749f, -2.1340f, 0.6023f});
    auto z = NDArrayFactory::create<float>('c', {3});
    auto e = NDArrayFactory::create<float>('c', {3}, {-999.f, -0.7301f, -2.1340f});

    nd4j::ops::reduce_min op;
    op.execute({&x}, {&z}, {}, {1}, {});

    //z.printIndexedBuffer("Z");

    ASSERT_EQ(e, z);
}

TEST_F(DeclarableOpsTests14, Test_Diag_Zeros_1) {
    auto x = NDArrayFactory::create<double>('c', {2}, {1, 2});
    auto z = NDArrayFactory::create<double>('c', {2, 2}, {-119, -119, -119, -119});
    auto exp = NDArrayFactory::create<double>('c', {2, 2}, {1, 0, 0, 2});

    nd4j::ops::diag op;
    auto status = op.execute({&x}, {&z}, {}, {}, {});
    ASSERT_EQ(Status::OK(), status);

    ASSERT_EQ(exp, z);
}

TEST_F(DeclarableOpsTests14, Test_scalar_broadcast_1) {
    auto x = NDArrayFactory::create<float>(1.0f);
    auto y = NDArrayFactory::create<float>('c', {5, 10});
    auto e = NDArrayFactory::create<float>('c', {5, 10});
    e.assign(1.0);


    nd4j::ops::add op;
    auto result = op.execute({&x, &y}, {}, {});
    ASSERT_EQ(Status::OK(), result->status());

    ASSERT_EQ(e, *result->at(0));

    delete result;
}

TEST_F(DeclarableOpsTests14, Test_scalar_broadcast_2) {
    auto x = NDArrayFactory::create<float>(1.0f);
    auto y = NDArrayFactory::create<float>('c', {5, 10});
    auto e = NDArrayFactory::create<float>('c', {5, 10});
    y.assign(2.0f);
    e.assign(-1.0f);


    nd4j::ops::subtract op;
    auto result = op.execute({&x, &y}, {}, {});
    ASSERT_EQ(Status::OK(), result->status());

    ASSERT_EQ(e, *result->at(0));

    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_fill_1) {
    auto x = NDArrayFactory::empty<int>();
    auto y = NDArrayFactory::create<int>(1);

    nd4j::ops::fill op;
    auto result = op.execute({&x, &y}, {}, {});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    ASSERT_EQ(y, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, test_lstmBlockCell_1) {
    auto a = NDArrayFactory::create<float>('c', {1, 5}, {0.7787856f, 0.80119777f, 0.72437465f, 0.23089433f, 0.72714126f});
    auto b = NDArrayFactory::create<float>('c', {1, 3});
    auto c = NDArrayFactory::create<float>('c', {1, 3});
    auto d = NDArrayFactory::create<float>('c', {8, 12}, {-0.15320599,-0.120416045,0.33126968,0.13921785,-0.32313538,-0.43956736,0.4756174,0.4335605,-0.5450856,-0.3943429,-0.28687626,0.068032146,-0.2793799,0.17298919,-0.36553562,-0.097853184,-0.2544747,-0.39872527,-0.14556861,-0.31479517,0.2559092,0.47166896,-0.31330687,0.47313118,0.5134543,-0.4678212,-0.12853557,0.26142156,0.43472284,-0.42842552,-0.1895876,0.538689,0.508651,-0.020272732,0.112327516,0.2704304,-0.046546757,0.32570732,-0.15148133,-0.19145513,0.18631572,-0.024152994,0.41603214,-0.3421499,0.0106860995,-0.2966229,-0.36713937,0.25841123,0.0843398,0.49082482,0.10800403,0.1874243,-0.26379472,-0.22531849,0.24924624,0.23119557,0.49940765,-0.051413506,0.20315129,-0.41888732,0.44097036,0.40453392,0.013338983,0.23434466,0.23942488,0.47894,-0.19898453,0.09253675,-0.032358468,-0.15213022,-0.3441009,-0.15600958,-0.08235118,0.12165731,-0.4481289,-0.4842423,-0.45797008,-0.4606034,0.08163166,-0.2981107,0.50207126,0.44195646,0.13850057,0.072246075,-0.34388685,0.030900061,0.35821778,0.47900867,0.5094063,0.23683065,0.18020362,-0.1369732,0.015235603,0.2786904,0.07954317,0.12543976});
    auto e = NDArrayFactory::create<float>('c', {3});
    auto f = NDArrayFactory::create<float>('c', {3});
    auto g = NDArrayFactory::create<float>('c', {3});
    auto h = NDArrayFactory::create<float>('c', {12});

    auto z0 = NDArrayFactory::create<float>('c', {1, 3});
    auto z1 = NDArrayFactory::create<float>('c', {1, 3});
    auto z2 = NDArrayFactory::create<float>('c', {1, 3});
    auto z3 = NDArrayFactory::create<float>('c', {1, 3});
    auto z4 = NDArrayFactory::create<float>('c', {1, 3});
    auto z5 = NDArrayFactory::create<float>('c', {1, 3});
    auto z6 = NDArrayFactory::create<float>('c', {1, 3});

    nd4j::ops::lstmBlockCell op;
    auto result = op.execute({&a, &b, &c, &d, &e, &f, &g, &h}, {&z0, &z1, &z2, &z3, &z4, &z5, &z6}, {1.0, -1.0}, {0}, {});
    ASSERT_EQ(Status::OK(), result);
}

TEST_F(DeclarableOpsTests14, test_empty_stack_1) {
    auto x = NDArrayFactory::create<float>('c', {0});
    auto e = NDArrayFactory::create<float>('c', {1, 0});

    nd4j::ops::stack op;
    auto result = op.execute({&x}, {}, {0});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    ASSERT_EQ(e, *z);
    nd4j::ops::reduce_min sumOp;
    auto res2 = sumOp.execute({&e}, {1.}, {1});
    ASSERT_EQ(res2->status(), Status::OK());
    auto out = res2->at(0);
    out->printShapeInfo("ReduceSum empty shape with keep dims");
    out->printIndexedBuffer("ReduceSum scalar");
    ASSERT_EQ(out->e<float>(0), DataTypeUtils::infOrMax<float>());
    delete res2;
    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_stack_2) {
    auto x = NDArrayFactory::empty<float>();
    auto e = NDArrayFactory::create<float>('c', {0});

    nd4j::ops::stack op;
    auto result = op.execute({&x}, {}, {0});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    ASSERT_EQ(e, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_stack_3) {
    auto x = NDArrayFactory::empty<float>();
    auto e = NDArrayFactory::create<float>('c', {2, 0});

    nd4j::ops::stack op;
    auto result = op.execute({&x, &x}, {}, {0});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    ASSERT_EQ(e, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_stack_4) {
    auto x = NDArrayFactory::create<float>('c', {0});
    auto e = NDArrayFactory::create<float>('c', {2, 0});

    nd4j::ops::stack op;
    auto result = op.execute({&x, &x}, {}, {0});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);
    ASSERT_EQ(e, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_reduce_min_1) {

    auto e = NDArrayFactory::create<float>('c', {1, 0});
    nd4j::ops::reduce_min sumOp;
    auto res2 = sumOp.execute({&e}, {1.}, {1});
    ASSERT_EQ(res2->status(), Status::OK());
    auto out = res2->at(0);

    ASSERT_EQ(out->e<float>(0), DataTypeUtils::infOrMax<float>());
    delete res2;
}

TEST_F(DeclarableOpsTests14, test_empty_reduce_max_1) {

    auto e = NDArrayFactory::create<float>('c', {1, 0});
    nd4j::ops::reduce_max sumOp;
    auto res2 = sumOp.execute({&e}, {1.}, {1});
    ASSERT_EQ(res2->status(), Status::OK());
    auto out = res2->at(0);

    ASSERT_EQ(out->e<float>(0), -DataTypeUtils::infOrMax<float>());
    delete res2;
}

TEST_F(DeclarableOpsTests14, test_empty_reduce_sum_1) {

    auto e = NDArrayFactory::create<float>('c', {1, 0});
    nd4j::ops::reduce_sum sumOp;
    auto res2 = sumOp.execute({&e}, {1.}, {1});
    ASSERT_EQ(res2->status(), Status::OK());
    auto out = res2->at(0);
    ASSERT_EQ(out->e<float>(0), 0.f);
    delete res2;
}

TEST_F(DeclarableOpsTests14, test_empty_reduce_mean_1) {

    auto e = NDArrayFactory::create<float>('c', {1, 0});
    nd4j::ops::reduce_mean sumOp;
    auto res2 = sumOp.execute({&e}, {1.}, {1});
    ASSERT_EQ(res2->status(), Status::OK());
    auto out = res2->at(0);
    // out->printShapeInfo("ReduceMean empty shape with keep dims");
    // out->printIndexedBuffer("ReduceMean scalar");
    ASSERT_TRUE(std::isnan(out->e<float>(0)));
    delete res2;
}

TEST_F(DeclarableOpsTests14, Test_StridedSliceZeros_1) {
    auto matrix = NDArrayFactory::create<double>('c', {1, 2, 0, 4});
    auto b = NDArrayFactory::create<int>('c', {3}, {0, 0, 0});
    auto e = NDArrayFactory::create<int>('c', {3}, {2,0,2});
    auto s = NDArrayFactory::create<int>('c', {3}, {1,1,1});

    auto exp = NDArrayFactory::create<double>('c', {1,0,0,4});

    matrix.linspace(1);

    nd4j::ops::strided_slice op;
    auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 0});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);

    ASSERT_TRUE(exp.isSameShape(z));

    delete result;
}

TEST_F(DeclarableOpsTests14, Test_StridedSliceZeros_2) {
    auto matrix = NDArrayFactory::create<double>('c', {1, 2, 0, 4});
    auto b = NDArrayFactory::create<int>('c', {3}, {0, 0, 0});
    auto e = NDArrayFactory::create<int>('c', {3}, {2,0,2});
    auto s = NDArrayFactory::create<int>('c', {3}, {1,1,1});

    auto exp = NDArrayFactory::create<double>('c', {0,0,4});

    matrix.linspace(1);

    nd4j::ops::strided_slice op;
    auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);

    ASSERT_TRUE(exp.isSameShape(z));

    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_argmax_1) {
    auto x = NDArrayFactory::create<float>('c', {1, 0});
    auto y = NDArrayFactory::create<int>(0);
    auto e = NDArrayFactory::create<Nd4jLong>('c', {0});

    nd4j::ops::argmax op;
    //nd4j::ops::reduce_max op;

    auto result = op.execute({&x, &y}, {}, {});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);

    z->printShapeInfo("Z");

    ASSERT_EQ(e, *z);

    delete result;
}

TEST_F(DeclarableOpsTests14, test_empty_argmax_2) {
    auto x = NDArrayFactory::create<float>('c', {1, 0});
    auto y = NDArrayFactory::create<int>(1);

    nd4j::ops::argmax op;
    try {
        auto result = op.execute({&x, &y}, {&y}, {}, {}, {});
        ASSERT_TRUE(false);
    } catch (std::exception &e) {
        //
    }
}

TEST_F(DeclarableOpsTests14, test_empty_tanh_5) {
    auto x = NDArrayFactory::create<float>('c', {32, 0});

    nd4j::ops::tanh op;
    auto result = op.execute({&x}, {}, {});
    ASSERT_EQ(Status::OK(), result->status());

    auto z = result->at(0);

    ASSERT_TRUE(x.isSameShape(z));
    ASSERT_EQ(x, *z);

    delete result;
}