/*******************************************************************************
* 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 Yurii Shyrma (iuriish@yahoo.com), created on 22.06.2018
//
#include "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <NDArray.h>
#include <ops/ops.h>
#include <GradCheck.h>
#include <loops/random.h>
using namespace nd4j;
class DeclarableOpsTests9 : public testing::Test {
public:
DeclarableOpsTests9() {
printf("\n");
fflush(stdout);
}
};
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, reduceStDevBP_test3) {
auto x = NDArrayFactory::create<double>('c', {3,4});
auto gradO1 = NDArrayFactory::create<double>('c', {3,1}, {1.,2.,3.});
auto gradO2 = NDArrayFactory::create<double>('c', {3}, {1.,2.,3.});
auto exp = NDArrayFactory::create<double>('c', {3,4}, {-0.335410, -0.111803, 0.111803, 0.335410, -0.670820, -0.223607, 0.223607, 0.670820, -1.006231, -0.335410, 0.335410, 1.006231});
x.linspace(1);
nd4j::ops::reduce_stdev_bp op;
auto result = op.execute({&x, &gradO2}, {0,0}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
// output->printIndexedBuffer();
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
result = op.execute({&x, &gradO1}, {1,0}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, reduceStDevBP_test03) {
auto x = NDArrayFactory::create<double>('c', {3,4});
auto gradO1 = NDArrayFactory::create<double>('c', {3,1}, {1.,2.,3.});
auto gradO2 = NDArrayFactory::create<double>('c', {3}, {1.,2.,3.});
auto exp = NDArrayFactory::create<double>('c', {3,4}, {-0.335410, -0.111803, 0.111803, 0.335410, -0.670820, -0.223607, 0.223607, 0.670820, -1.006231, -0.335410, 0.335410, 1.006231});
auto axis = NDArrayFactory::create<int>('c', {1}, {1});
x.linspace(1);
nd4j::ops::reduce_stdev_bp op;
auto result = op.execute({&x, &gradO2, &axis}, {}, {}, {false, false});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
// output->printIndexedBuffer();
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
result = op.execute({&x, &gradO1}, {1,0}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
/*
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, exponentialDistributionInv_test1) {
const int N = 50000;
const double lambda = 2.;
const double mean = 1. / lambda;
const double std = mean;
auto x = NDArrayFactory::create<double>('c', {N});
double extraParams[] = {lambda};
Nd4jLong *buffer = new Nd4jLong[N];
auto rng = (nd4j::random::RandomBuffer *) initRandom(nullptr, 123, N, (Nd4jPointer) buffer);
if (rng == nullptr)
throw std::runtime_error("DeclarableOpsTests9.exponentialDistributionInv_test1: RNG initialization failed !");
functions::random::RandomFunction<double>::template execTransform<randomOps::ExponentialDistributionInv<double>>(rng, x.getBuffer(), x.getShapeInfo(), extraParams);
const double actualMean = x.meanNumber().e<double>(0);
const double actualStd = x.varianceNumber(variance::SummaryStatsStandardDeviation, true).e<double>(0);
ASSERT_NEAR(mean, actualMean, 0.01);
ASSERT_NEAR(std, actualStd, 0.01);
destroyRandom((Nd4jPointer) rng);
delete[] buffer;
}
//////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, exponentialDistributionInv_test2) {
const int N = 50000;
const double lambda = 2.;
const double mean = 1. / lambda;
const double std = mean;
double extraParams[] = {lambda};
auto x = NDArrayFactory::create<double>('c', {N});
auto y = NDArrayFactory::create<double>('c', {N});
y.linspace(0., 1./N); // [0, 1)
Nd4jLong *buffer = new Nd4jLong[N];
auto rng = (nd4j::random::RandomBuffer *) initRandom(nullptr, 123, N, (Nd4jPointer) buffer);
if (rng == nullptr)
throw std::runtime_error("DeclarableOpsTests9.exponentialDistributionInv_test2: RNG initialization failed !");
functions::random::RandomFunction<double>::template execTransform<randomOps::ExponentialDistributionInv<double>>(rng, y.getBuffer(), y.getShapeInfo(), x.getBuffer(), x.getShapeInfo(), extraParams);
const double actualMean = x.meanNumber().e<double>(0);
const double actualStd = x.varianceNumber(variance::SummaryStatsStandardDeviation, true).e<double>(0);
ASSERT_NEAR(mean, actualMean, 0.01);
ASSERT_NEAR(std, actualStd, 0.01);
destroyRandom((Nd4jPointer) rng);
delete[] buffer;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, exponentialDistribution_test1) {
const int N = 50000;
const double lambda = 2.;
const double mean = 1. / lambda;
const double std = mean;
auto x = NDArrayFactory::create<double>('c', {N});
double extraParams[] = {lambda};
Nd4jLong *buffer = new Nd4jLong[N];
auto rng = (nd4j::random::RandomBuffer *) initRandom(nullptr, 123, N, (Nd4jPointer) buffer);
if (rng == nullptr)
throw std::runtime_error("DeclarableOpsTests9.exponentialDistribution_test1: RNG initialization failed !");
functions::random::RandomFunction<double>::template execTransform<randomOps::ExponentialDistribution<double>>(rng, x.getBuffer(), x.getShapeInfo(), extraParams);
const double actualMean = x.meanNumber().e<double>(0);
const double actualStd = x.varianceNumber(variance::SummaryStatsStandardDeviation, true).e<double>(0);
ASSERT_NEAR(mean, actualMean, 0.01);
ASSERT_NEAR(std, actualStd, 0.01);
destroyRandom((Nd4jPointer) rng);
delete[] buffer;
}
//////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, exponentialDistribution_test2) {
const int N = 50000;
const double lambda = 2.;
const double mean = 1. / lambda;
const double std = mean;
double extraParams[] = {lambda};
auto x = NDArrayFactory::create<double>('c', {N});
auto y = NDArrayFactory::create<double>('c', {N});
y.linspace(-N/2.); // [-25000, 25000)
Nd4jLong *buffer = new Nd4jLong[N];
// Nd4jPointer extra[2];
#ifndef __CUDABLAS__
nd4j::random::RandomBuffer* rng = (nd4j::random::RandomBuffer *) initRandom(nullptr, 123, N, (Nd4jPointer) buffer);
if (rng == nullptr)
throw std::runtime_error("DeclarableOpsTests9.exponentialDistribution_test2: RNG initialization failed !");
functions::random::RandomFunction<double>::template execTransform<randomOps::ExponentialDistribution<double>>(rng, y.getBuffer(), y.getShapeInfo(), x.getBuffer(), x.getShapeInfo(), extraParams);
destroyRandom((Nd4jPointer) rng);
#endif
const double actualMean = x.meanNumber().e<double>(0);
const double actualStd = x.varianceNumber(variance::SummaryStatsStandardDeviation, true).e<double>(0);
ASSERT_NEAR(mean, actualMean, 0.01);
ASSERT_NEAR(std, actualStd, 0.01);
delete[] buffer;
}
*/
TEST_F(DeclarableOpsTests9, ScalarOpTest_MixedOrders_1) {
auto x = NDArrayFactory::create<double>('f', {2, 2}, {1.0, 3.0, 2.0, 4.0});
auto e = NDArrayFactory::create<double>('c', {2, 2}, {2.0, 3.0, 4.0, 5.0});
auto z = NDArrayFactory::create<double>('c', {2, 2}, {0.0, 0.0, 0.0, 0.0});
x.applyScalar(scalar::Add, 1.0, &z);
ASSERT_EQ(e, z);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test1) {
auto x0 = NDArrayFactory::create<double>('c', {2,3,4});
auto x1 = NDArrayFactory::create<double>('c', {2,2,4});
auto x2 = NDArrayFactory::create<double>('c', {2,1,4});
auto exp = NDArrayFactory::create<double>('c', {2,6,4}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 1.f, 2.f, 3.f, 4.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, 9.f, 10.f, 11.f, 12.f,13.f, 14.f, 15.f, 16.f, 5.f, 6.f, 7.f, 8.});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test2) {
auto x0 = NDArrayFactory::create<double>('c', {1,3,1});
auto x1 = NDArrayFactory::create<double>('c', {1,2,1});
auto x2 = NDArrayFactory::create<double>('c', {1,1,1});
auto exp = NDArrayFactory::create<double>('c', {1,6,1}, {1.f, 2.f, 3.f, 1.f, 2.f, 1.f});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test3) {
auto x0 = NDArrayFactory::create<double>('c', {3});
auto x1 = NDArrayFactory::create<double>('c', {2});
auto x2 = NDArrayFactory::create<double>('c', {1});
auto exp = NDArrayFactory::create<double>('c', {6}, {1.f, 2.f, 3.f, 1.f, 2.f, 1.f});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test4) {
auto x0 = NDArrayFactory::create<double>('c', {1,1,1}, {1.f});
auto x1 = NDArrayFactory::create<double>('c', {1,1,1}, {2.f});
auto x2 = NDArrayFactory::create<double>('c', {1,1,1}, {3.f});
auto exp = NDArrayFactory::create<double>('c', {1,3,1}, {1.f, 2.f, 3.f});
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test5) {
auto x0 = NDArrayFactory::create<double>(1.f);
auto x1 = NDArrayFactory::create<double>('c', {1}, {2.f});
auto x2 = NDArrayFactory::create<double>(3.f);
auto exp = NDArrayFactory::create<double>('c', {3}, {1.f, 2.f, 3.f});
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test6) {
auto x0 = NDArrayFactory::create<double>(1.f);
auto x1 = NDArrayFactory::create<double>('c', {2}, {2.f, 20.f});
auto x2 = NDArrayFactory::create<double>(3.f);
auto exp = NDArrayFactory::create<double>('c', {4}, {1.f, 2.f, 20.f, 3.f});
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test7) {
auto x0 = NDArrayFactory::create<double>(1.f);
auto x1 = NDArrayFactory::create<double>(2.f);
auto x2 = NDArrayFactory::create<double>(3.f);
auto exp = NDArrayFactory::create<double>('c', {3}, {1.f, 2.f, 3.f});
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test8) {
auto x0 = NDArrayFactory::create<double>(1.f);
auto exp = NDArrayFactory::create<double>('c', {1}, {1.f});
nd4j::ops::concat op;
auto result = op.execute({&x0}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test9) {
auto x0 = NDArrayFactory::create<double>('c', {1}, {1.f});
auto exp = NDArrayFactory::create<double>('c', {1}, {1.f});
nd4j::ops::concat op;
auto result = op.execute({&x0}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test10) {
auto x0 = NDArrayFactory::create<double>('c', {2,3,4});
auto x1 = NDArrayFactory::create<double>('f', {2,2,4});
auto x2 = NDArrayFactory::create<double>('c', {2,1,4});
auto exp = NDArrayFactory::create<double>('c', {2,6,4}, { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 1.f, 2.f, 3.f, 4.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, 9.f, 10.f, 11.f, 12.f,13.f, 14.f, 15.f, 16.f, 5.f, 6.f, 7.f, 8.f});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test11) {
auto x0 = NDArrayFactory::create<double>('c', {2,3,4});
auto x1 = NDArrayFactory::create<double>('f', {2,2,4});
auto x2 = NDArrayFactory::create<double>('f', {2,1,4});
auto exp = NDArrayFactory::create<double>('c', {2,6,4}, { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 1.f, 2.f, 3.f, 4.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, 9.f, 10.f, 11.f, 12.f,13.f, 14.f, 15.f, 16.f, 5.f, 6.f, 7.f, 8.f});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test12) {
auto x0 = NDArrayFactory::create<double>('c', {2,3,4});
auto x1 = NDArrayFactory::create<double>('f', {2,2,4});
auto x2 = NDArrayFactory::create<double>('f', {2,1,4});
auto exp = NDArrayFactory::create<double>('c', {2,6,4}, { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 1.f, 2.f, 3.f, 4.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, 9.f, 10.f, 11.f, 12.f,13.f, 14.f, 15.f, 16.f, 5.f, 6.f, 7.f, 8.f});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test13) {
auto x0 = NDArrayFactory::create<double>('f', {2,3,4});
auto x1 = NDArrayFactory::create<double>('f', {2,2,4});
auto x2 = NDArrayFactory::create<double>('f', {2,1,4});
auto exp = NDArrayFactory::create<double>('f', {2,6,4}, { 1.f, 13.f, 5.f, 17.f, 9.f, 21.f, 1.f, 9.f, 5.f, 13.f, 1.f, 5.f, 2.f, 14.f, 6.f, 18.f,10.f, 22.f, 2.f, 10.f, 6.f, 14.f, 2.f, 6.f,
3.f, 15.f, 7.f, 19.f,11.f, 23.f, 3.f, 11.f, 7.f, 15.f, 3.f, 7.f, 4.f, 16.f, 8.f, 20.f,12.f, 24.f, 4.f, 12.f, 8.f, 16.f, 4.f, 8.f});
x0.linspace(1);
x1.linspace(1);
x2.linspace(1);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
TEST_F(DeclarableOpsTests9, concat_test14) {
NDArray x0('c', {1, 40, 60}, nd4j::DataType::DOUBLE);
NDArray x1('c', {1, 40, 60}, nd4j::DataType::DOUBLE);
x0 = 1.;
x1 = 2.;
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1}, {}, {0}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
Nd4jLong numOfTads= ShapeUtils::getNumOfSubArrs(z->getShapeInfo(), {0});
ASSERT_TRUE(2 == numOfTads);
for (int e = 0; e < numOfTads; ++e) {
NDArray tad = (*z)(e, {0});
auto mean = tad.meanNumber().e<double>(0);
ASSERT_NEAR((e+1)*1., mean, 1e-5);
}
delete result;
}
TEST_F(DeclarableOpsTests9, concat_test15) {
auto x = NDArrayFactory::create<double>('c', {2}, {1, 0});
auto y = NDArrayFactory::create<double> (3.0f);
auto exp = NDArrayFactory::create<double>('c', {3}, {1, 0, 3});
nd4j::ops::concat op;
auto result = op.execute({&x, &y}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test16) {
auto x = NDArrayFactory::create<double>('c', {0,2,3});
auto y = NDArrayFactory::create<double>('c', {0,2,3});
auto exp = NDArrayFactory::create<double>('c', {0,2,3});
nd4j::ops::concat op;
auto result = op.execute({&x, &y}, {}, {0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
delete result;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test17) {
NDArray x0('c', {1, 55, 40}, nd4j::DataType::DOUBLE);
NDArray x1('c', {1, 55, 40}, nd4j::DataType::DOUBLE);
x0 = 1.;
x1 = 2.;
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1}, {}, {0}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
// z->printShapeInfo();
// z->printIndexedBuffer();
Nd4jLong numOfTads= ShapeUtils::getNumOfSubArrs(z->getShapeInfo(), {0});
ASSERT_TRUE(2 == numOfTads);
for (int e = 0; e < numOfTads; ++e) {
NDArray tad = (*z)(e, {0});
auto mean = tad.meanNumber().e<double>(0);
ASSERT_NEAR((e+1)*1., mean, 1e-5);
}
delete result;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test18) {
Context context(1);
Nd4jLong axis = 0;
// we crate bunch of arrays, filled with specific values
for (int e = 0; e < 2000; e++) {
auto array = NDArrayFactory::create_<float>('c', {1, 300});
array->assign(e);
context.setInputArray(e, array, true);
}
auto z = NDArrayFactory::create<float>('c', {2000, 300});
context.setOutputArray(0, &z, false);
context.setIArguments(&axis, 1);
nd4j::ops::concat op;
op.execute(&context);
for (int e = 0; e < 2000; e++) {
auto row = z.tensorAlongDimension(e, {1});
ASSERT_NEAR((float) e, row->e<float>(0), 1e-5f);
delete row;
}
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test19) {
Context context(1);
Nd4jLong axis = 0;
// we crate bunch of arrays, filled with specific values
for (int e = 0; e < 10; e++) {
auto array = NDArrayFactory::create_<float>('c', {1, 5, 20});
array->assign(e);
context.setInputArray(e, array, true);
}
auto z = NDArrayFactory::create<float>('c', {10, 5, 20});
context.setOutputArray(0, &z, false);
context.setIArguments(&axis, 1);
nd4j::ops::concat op;
op.execute(&context);
for (int e = 0; e < 10; e++)
ASSERT_NEAR((float) e, z(e, {0}).meanNumber().e<float>(0), 1e-5f);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test20) {
auto x0 = NDArrayFactory::create<double>('c', {1, 100, 150});
auto x1 = NDArrayFactory::create<double>('c', {1, 100, 150});
auto x2 = NDArrayFactory::create<double>('c', {1, 100, 150});
auto x3 = NDArrayFactory::create<double>('c', {1, 100, 150});
x0.assign(1.0);
x1.assign(2.0);
x2.assign(3.0);
x3.assign(4.0);
nd4j::ops::concat op;
auto result = op.execute({&x0, &x1, &x2, &x3}, {}, {0}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
Nd4jLong numOfTads= ShapeUtils::getNumOfSubArrs(z->getShapeInfo(), {0});
ASSERT_TRUE(4 == numOfTads);
for (int e = 0; e < numOfTads; e++) {
NDArray tad = (*z)(e, {0});
auto mean = tad.meanNumber().e<double>(0);
ASSERT_NEAR((double) e+1, mean, 1e-5);
}
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test21) {
NDArray x0('c', {1,4,5}, nd4j::DataType::FLOAT32);
NDArray x1('c', {2,4,5}, nd4j::DataType::FLOAT32);
NDArray z('f', {3,4,5}, nd4j::DataType::FLOAT32);
x0 = 0.;
x1 = 1.;
nd4j::ops::concat op;
auto status = op.execute({&x0, &x1}, {&z}, {}, {0}, {});
ASSERT_EQ(ND4J_STATUS_OK, status);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test22) {
NDArray x0('c', {1,6}, {1,2,3,4,5,6});
NDArray x1('c', {1,6}, {7,8,9,10,11,12});
NDArray output('f', {2,6}, nd4j::DataType::DOUBLE);
NDArray exp('c', {2,6}, {1,2,3,4,5,6,7,8,9,10,11,12});
nd4j::ops::concat op;
auto status = op.execute({&x0, &x1}, {&output}, {}, {0}, {});
ASSERT_EQ(ND4J_STATUS_OK, status);
ASSERT_TRUE(exp.equalsTo(output));
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test23) {
NDArray x0('c', {1,4}, {1,2,3,4});
NDArray x1('c', {1,4}, {5,6,7,8});
NDArray output('c', {2,4}, nd4j::DataType::DOUBLE);
NDArray exp('c', {2,4}, {1,2,3,4,5,6,7,8});
nd4j::ops::concat op;
auto status = op.execute({&x0, &x1}, {&output}, {}, {0}, {});
ASSERT_EQ(ND4J_STATUS_OK, status);
ASSERT_TRUE(exp.equalsTo(output));
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, concat_test24) {
auto x = NDArrayFactory::create<double>('c', {2, 1}, {1, 1});
auto y = NDArrayFactory::create<double>('c', {2, 1}, {0, 0});
auto e = NDArrayFactory::create<double>('c', {2, 2}, {1, 0, 1, 0});
auto z = NDArrayFactory::create<double>('c', {2, 2});
nd4j::ops::concat op;
auto status = op.execute({&x, &y}, {&z}, {}, {1}, {});
ASSERT_EQ(Status::OK(), status);
ASSERT_EQ(e, z);
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test1) {
auto input = NDArrayFactory::create<double>('c', {2, 3}, {1.,2.,3.,4.,5.,6.});
auto gradO = NDArrayFactory::create<double>('c', {4, 9});
auto gradIExp = NDArrayFactory::create<double>('c', {2, 3}, {0.78, 0.84, 0.9,1.32, 1.38, 1.44});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &gradO}, {}, {2, 3});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test2) {
auto input = NDArrayFactory::create<double>('c', {2, 3}, {1.,2.,3.,4.,5.,6.});
auto gradO = NDArrayFactory::create<double>('c', {2, 9});
auto gradIExp = NDArrayFactory::create<double>('c', {2, 3}, {0.12, 0.15, 0.18, 0.39, 0.42, 0.45});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &gradO}, {}, {1, 3});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test3) {
auto input = NDArrayFactory::create<double>('c', {2, 3}, {1.,2.,3.,4.,5.,6.});
auto gradO = NDArrayFactory::create<double>('c', {2, 3});
auto gradIExp = NDArrayFactory::create<double>('c', {2, 3}, {0.01, 0.02, 0.03,0.04, 0.05, 0.06});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &gradO}, {}, {1, 1});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test4) {
auto input = NDArrayFactory::create<double>('c', {6}, {1.,2.,3.,4.,5.,6.});
auto gradO = NDArrayFactory::create<double>('c', {12});
auto gradIExp = NDArrayFactory::create<double>('c', {6}, {0.08, 0.1 , 0.12, 0.14, 0.16, 0.18});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &gradO}, {}, {2});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test5) {
auto input = NDArrayFactory::create<double>('c', {1}, {1.});
auto gradO = NDArrayFactory::create<double>('c', {1});
auto gradIExp = NDArrayFactory::create<double>('c', {1}, {0.01});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &gradO}, {}, {1});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test6) {
auto input = NDArrayFactory::create<double>('c', {2, 1, 3}, {1.,2.,3.,4.,5.,6.});
auto gradO = NDArrayFactory::create<double>('c', {2, 3, 6});
auto gradIExp = NDArrayFactory::create<double>('c', {2, 1, 3}, {0.51, 0.57, 0.63, 1.59, 1.65, 1.71});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &gradO}, {}, {1, 3, 2});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_bp_test7) {
auto input = NDArrayFactory::create<double>('c', {2, 1, 3}, {1.,2.,3.,4.,5.,6.});
auto reps = NDArrayFactory::create<int>('c', {1, 3}, {1, 3, 2});
auto gradO = NDArrayFactory::create<double>('c', {2, 3, 6});
auto gradIExp = NDArrayFactory::create<double>('c', {2, 1, 3}, {0.51, 0.57, 0.63, 1.59, 1.65, 1.71});
gradO.linspace(0.01, 0.01);
nd4j::ops::tile_bp op;
auto results = op.execute({&input, &reps, &gradO}, {}, {});
auto gradI = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(gradIExp.isSameShape(gradI));
ASSERT_TRUE(gradIExp.equalsTo(gradI));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, tile_test1) {
auto input = NDArrayFactory::create<double>('c', {1, 6}, {1.,2.,3.,4.,5.,6.});
auto reps = NDArrayFactory::create<int>('c', {1, 2}, {2, 1});
auto expOut = NDArrayFactory::create<double>('c', {2, 6,}, {1.,2.,3.,4.,5.,6., 1.,2.,3.,4.,5.,6.});
expOut.printIndexedBuffer("expOut");
nd4j::ops::tile op;
auto results = op.execute({&input, &reps}, {}, {});
auto out = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(expOut.isSameShape(out));
ASSERT_TRUE(expOut.equalsTo(out));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test1) {
auto x = NDArrayFactory::create<double>('c', {3, 4});
auto y = NDArrayFactory::create<double>('c', {4, 3});
auto exp = NDArrayFactory::create<double>('f', {3, 3}, {35., 79., 123., 40., 92., 144., 45., 105., 165.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test2) {
auto x = NDArrayFactory::create<double>('c', {3, 4});
auto y = NDArrayFactory::create<double>('f', {4, 3});
auto exp = NDArrayFactory::create<double>('f', {3, 3}, {35., 79., 123.,40., 92., 144.,45.,105., 165.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test3) {
auto x = NDArrayFactory::create<double>('f', {3, 4});
auto y = NDArrayFactory::create<double>('c', {4, 3});
auto exp = NDArrayFactory::create<double>('f', {3, 3}, {35., 79., 123.,40., 92., 144.,45.,105., 165.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test4) {
auto x = NDArrayFactory::create<double> ('f', {3, 4});
auto y = NDArrayFactory::create<double>('f', {4, 3});
auto exp = NDArrayFactory::create<double>('f', {3, 3}, {35., 79., 123.,40., 92., 144.,45.,105., 165.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test5) {
auto x = NDArrayFactory::create<double>('c', {4, 3});
auto y = NDArrayFactory::create<double>('c', {4, 3});
auto exp = NDArrayFactory::create<double>('f', {3, 3}, {83., 94., 105., 94., 107., 120., 105., 120., 135.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test6) {
auto x = NDArrayFactory::create<double>('c', {4, 3});
auto y = NDArrayFactory::create<double>('f', {3, 4});
auto exp = NDArrayFactory::create<double>('f', {3, 3}, {35., 40., 45., 79., 92., 105., 123., 144., 165.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test7) {
auto x = NDArrayFactory::create<double>('c', {5, 3,4});
auto y = NDArrayFactory::create<double>('f', {5, 3,4});
auto exp = NDArrayFactory::create<double>('f',{5, 3,3}, {3. , 84.6, 281.4, 593.4, 1020.6, 7. , 107.8, 323.8, 655. , 1101.4,11. , 131. , 366.2, 716.6, 1182.2,
7. , 107.8, 323.8, 655. , 1101.4,17.4, 137.4, 372.6, 723. , 1188.6,27.8, 167. , 421.4, 791. , 1275.8,
11. , 131. , 366.2, 716.6, 1182.2,27.8, 167. , 421.4, 791. , 1275.8,44.6, 203. , 476.6, 865.4, 1369.4,});
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {0, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test8) {
auto x = NDArrayFactory::create<double>('c', {2,5, 3,4});
auto y = NDArrayFactory::create<double>('f', {2,5, 3,4});
auto exp = NDArrayFactory::create<double>('f',{2,5, 3,3}, {3. , 1563. , 84.6, 2220.6, 281.4, 2993.4, 593.4, 3881.4,1020.6, 4884.6, 7. , 1663. , 107.8, 2339.8, 323.8, 3131.8, 655. , 4039. ,1101.4, 5061.4,
11. , 1763. , 131. , 2459. , 366.2, 3270.2, 716.6, 4196.6,1182.2, 5238.2, 7. , 1663. , 107.8, 2339.8, 323.8, 3131.8, 655. , 4039. ,1101.4, 5061.4,
17.4, 1769.4, 137.4, 2465.4, 372.6, 3276.6, 723. , 4203. ,1188.6, 5244.6, 27.8, 1875.8, 167. , 2591. , 421.4, 3421.4, 791. , 4367. ,1275.8, 5427.8,
11. , 1763. , 131. , 2459. , 366.2, 3270.2, 716.6, 4196.6,1182.2, 5238.2, 27.8, 1875.8, 167. , 2591. , 421.4, 3421.4, 791. , 4367. ,1275.8, 5427.8,
44.6, 1988.6, 203. , 2723. , 476.6, 3572.6, 865.4, 4537.4,1369.4, 5617.4});
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {0, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test9) {
auto x = NDArrayFactory::create<double>('c', {2,5, 4,3});
auto y = NDArrayFactory::create<double>('f', {2,5, 3,4});
auto exp = NDArrayFactory::create<double>('f',{2,5, 3,3}, {7. , 1639. , 103. , 2311. , 314.2, 3098.2, 640.6, 4000.6,1082.2, 5018.2, 8. , 1664. , 108.8, 2340.8, 324.8, 3132.8, 656. , 4040. ,1102.4, 5062.4,
9. , 1689. , 114.6, 2370.6, 335.4, 3167.4, 671.4, 4079.4,1122.6, 5106.6, 15.8, 1743.8, 131. , 2435. , 361.4, 3241.4, 707. , 4163. ,1167.8, 5199.8,
18.4, 1770.4, 138.4, 2466.4, 373.6, 3277.6, 724. , 4204. ,1189.6, 5245.6, 21. , 1797. , 145.8, 2497.8, 385.8, 3313.8, 741. , 4245. ,1211.4, 5291.4,
24.6, 1848.6, 159. , 2559. , 408.6, 3384.6, 773.4, 4325.4,1253.4, 5381.4, 28.8, 1876.8, 168. , 2592. , 422.4, 3422.4, 792. , 4368. ,1276.8, 5428.8,
33. , 1905. , 177. , 2625. , 436.2, 3460.2, 810.6, 4410.6,1300.2, 5476.2});
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, TestDropout_BP_1) {
NDArray x('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
NDArray errs('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
NDArray shape('c', {2}, {2, 2});
nd4j::ops::dropout_bp op;
auto ress = op.execute({&x, &errs, &shape}, {0.2f}, {113});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
//ress->at(0)->printIndexedBuffer("Result is ");
//x.printIndexedBuffer("Input is");
ASSERT_FALSE(ress->at(0)->equalsTo(errs));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, TestDropout_1) {
NDArray x('c', {10, 10}, nd4j::DataType::FLOAT32);
// NDArray<float> errs('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
//NDArray<float> shape({2.f, 2.f});
nd4j::ops::dropout op;
x.linspace(1);
auto ress = op.execute({&x}, {0.2f}, {113});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
NDArray* res = ress->at(0); //->printIndexedBuffer("Result is ");
//x.printIndexedBuffer("Input is");
//res->printIndexedBuffer("Result for Dropout_1");
auto countZero = res->reduceNumber(reduce::CountZero);
ASSERT_NEAR(countZero.e<Nd4jLong>(0), 80, 5);
auto ress2 = op.execute({&x}, {0.2f}, {113});
ASSERT_EQ(ND4J_STATUS_OK, ress2->status());
NDArray* res2 = ress2->at(0);
countZero = res->reduceNumber(reduce::CountZero);
ASSERT_NEAR(countZero.e<Nd4jLong>(0), 80, 5);
//res2->printIndexedBuffer("Result for Dropout_2");
ASSERT_TRUE(res->equalsTo(res2));
//res->printIndexedBuffer("FF dropout");
//res2->printIndexedBuffer("BP dropout");
delete ress;
delete ress2;
}
TEST_F(DeclarableOpsTests9, Test_DropoutInverted_01) {
NDArray x0('c', {10, 10}, nd4j::DataType::FLOAT32);
NDArray x1('c', {10, 10}, nd4j::DataType::FLOAT32);
x0.linspace(1);
x1.linspace(1);
/*
float prob[] = {0.5f};
Nd4jLong* _bufferA = new Nd4jLong[100000];
long _seed = 119L;
auto _rngA = (nd4j::random::RandomBuffer *) initRandom(nullptr, _seed, 100000, (Nd4jPointer) _bufferA);
x0. applyTransform(random::DropOutInverted, &x0, prob);
// x1.template applyRandom<randomOps::DropOutInverted<float>>(_rngB, nullptr, &x1, prob);
// x0.printIndexedBuffer("01Result1");
int count = 0;
for (int e = 0; e < x0.lengthOf(); e++)
if (x0.e<float>(e) != 0.f)
count++;
// nd4j_printf("\nX0 count %i\n", count);
// ASSERT_TRUE(x0.equalsTo(&x1));
// this check is required to ensure we're calling wrong signature
// ASSERT_FALSE(x0.equalsTo(nexp0));
// ASSERT_FALSE(x0.equalsTo(nexp1));
// ASSERT_FALSE(x0.equalsTo(nexp2));
destroyRandom(_rngA);
delete [] _bufferA;
*/
nd4j::ops::dropout op;
auto ress = op.execute({&x1}, {0.5f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
//ress->at(0)->printIndexedBuffer("01Dropout result is ");
auto count = ress->at(0)->reduceNumber(reduce::CountNonZero);
// nd4j_printf("\n01Dropout count %i\n\n", count);
nd4j::ops::dropout_bp op2;
//NDArray<float> exp('c', {10,10}, {4.f, 0.f, 12.f, 0.f, 20.f, 24.f, 0.f, 32.f, 0.f, 0.f, 0.f, 0.f, 52.f, 56.f, 60.f, 0.f, 0.f, 0.f, 0.f, 0.f, 84.f, 88.f, 0.f, 0.f, 0.f, 0.f, 108.f, 0.f, 0.f, 120.f, 0.f, 0.f, 132.f, 0.f, 0.f, 0.f, 0.f, 0.f, 156.f, 0.f, 164.f, 168.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 200.f, 204.f, 0.f, 0.f, 0.f, 220.f, 0.f, 0.f, 232.f, 236.f, 240.f, 0.f, 248.f, 0.f, 0.f, 260.f, 0.f, 0.f, 0.f, 276.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 316.f, 0.f, 324.f, 0.f, 0.f, 336.f, 0.f, 0.f, 0.f, 0.f, 356.f, 0.f, 0.f, 368.f, 0.f, 0.f, 0.f, 384.f, 388.f, 0.f, 0.f, 400.f});
//02Dropout result is [4.000000, 0.000000, 12.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 36.000000, 0.000000, 0.000000, 0.000000, 0.000000, 56.000000, 60.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 88.000000, 0.000000, 96.000000, 0.000000, 0.000000, 108.000000, 0.000000, 0.000000, 120.000000, 0.000000, 128.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 156.000000, 0.000000, 164.000000, 0.000000, 0.000000, 0.000000, 0.000000, 184.000000, 0.000000, 0.000000, 0.000000, 200.000000, 0.000000, 0.000000, 0.000000, 216.000000, 0.000000, 0.000000, 0.000000, 232.000000, 0.000000, 240.000000, 0.000000, 248.000000, 0.000000, 0.000000, 260.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 308.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 348.000000, 0.000000, 356.000000, 0.000000, 0.000000, 0.000000, 0.000000, 376.000000, 0.000000, 384.000000, 0.000000, 0.000000, 0.000000, 400.000000]
auto ressX = op2.execute({&x1, &x1}, {0.5f}, {119}); // , false, nd4j::DataType::FLOAT32); // skipped due given by default
//x0.printIndexedBuffer("X0");
//x1.printIndexedBuffer("X1");
ASSERT_EQ(ND4J_STATUS_OK, ressX->status());
auto ressY = op2.execute({&x1, &x0}, {0.5f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ressY->status());
//ressY->at(0)->printIndexedBuffer("BP");
//ress->at(0)->printIndexedBuffer("FF");
bool ret = true;
for (int e = 0; e < ress->at(0)->lengthOf(); e++) {
if (ress->at(0)->e<float>(e) == 0.f)
if (ressX->at(0)->e<float>(e) != ress->at(0)->e<float>(e)) {
ret = false;
break;
}
}
ASSERT_TRUE(ret);
// ASSERT_FALSE(ressX->at(0)->equalsTo(ressY->at(0)));
//ressX->at(0)->printIndexedBuffer("02Dropout result is ");
/* float countZero = ressX->at(0)->template reduceNumber<simdOps::CountZero<float>>();
ASSERT_NEAR(countZero, 50.f, 5.f);
countZero = ress->at(0)->template reduceNumber<simdOps::CountZero<float>>();
ASSERT_NEAR(countZero, 50.f, 5.f);
countZero = ressY->at(0)->template reduceNumber<simdOps::CountZero<float>>();
ASSERT_NEAR(countZero, 50.f, 5.f);
*/
// ASSERT_TRUE(exp.equalsTo(ressX->at(0)));
delete ressX;
delete ressY;
delete ress;
}
TEST_F(DeclarableOpsTests9, Test_Dropout_BP_2) {
NDArray x('c', {10, 10}, nd4j::DataType::FLOAT32);
x.linspace(1);
nd4j::ops::dropout op;
auto ress = op.execute({&x}, {0.5f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
// ress->at(0)->printIndexedBuffer("01Dropout result is ");
nd4j::ops::dropout_bp op2;
auto ressX = op2.execute({&x, &x}, {0.5f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ressX->status());
auto ressY = op2.execute({&x, &x}, {0.5f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ressY->status());
//ress->at(0)->printIndexedBuffer("FF Dropout result is ");
//ressY->at(0)->printIndexedBuffer("BP Dropout result is ");
auto countZero = ress->at(0)->reduceNumber(reduce::CountZero);
ASSERT_NEAR(countZero.e<float>(0), 50.f, 10.f);
countZero = ressX->at(0)->reduceNumber(reduce::CountZero);
//nd4j_printf("X zero count is %f\n", countZero);
ASSERT_NEAR(countZero.e<float>(0), 50.f, 10.f);
countZero = ressY->at(0)->reduceNumber(reduce::CountZero);
//nd4j_printf("Y zero count is %f\n", countZero);
ASSERT_NEAR(countZero.e<float>(0), 50.f, 10.f);
// ASSERT_TRUE(exp.equalsTo(ressX->at(0)));
ASSERT_TRUE(ressX->at(0)->equalsTo(ressY->at(0)));
delete ressX;
delete ressY;
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Test_AlphaDropout_BP_1) {
NDArray x('c', {10, 10}, nd4j::DataType::FLOAT32);
NDArray eps('c', {10, 10}, nd4j::DataType::FLOAT32);
x.linspace(1);
eps.linspace(1);
nd4j::ops::alpha_dropout_bp op;
auto ress = op.execute({&x, &eps}, {0.5f, 0.5f, 1.5f, 1.6f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
NDArray* res = ress->at(0);
auto ress2 = op.execute({&x, &eps}, {0.5f, 0.5f, 1.5f, 1.6f}, {119});
ASSERT_EQ(ND4J_STATUS_OK, ress2->status());
NDArray* res2 = ress2->at(0);
//res->printIndexedBuffer("Result1AlphaBP1");
//res2->printIndexedBuffer("Result1AlphaBP2");
ASSERT_TRUE(res2->equalsTo(res));
delete ress;
delete ress2;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test10) {
auto x = NDArrayFactory::create<double>('c', {1, 4, 3});
auto y = NDArrayFactory::create<double>('f', {1, 3, 4});
auto exp = NDArrayFactory::create<double>('f', {1, 3, 3}, {35., 40., 45., 79., 92., 105., 123., 144., 165.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test11) {
auto x = NDArrayFactory::create<double>('c', {4, 1});
auto y = NDArrayFactory::create<double>('f', {1, 4});
auto exp = NDArrayFactory::create<double>('f', {1, 1}, {15});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
ASSERT_EQ(Status::OK(), results->status());
auto z = results->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test12) {
auto x = NDArrayFactory::create<double>('c', {1, 4, 1});
auto y = NDArrayFactory::create<double>('f', {1, 1, 4});
auto exp = NDArrayFactory::create<double>('f', {1, 1, 1}, {15});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
ASSERT_EQ(Status::OK(), results->status());
auto z = results->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test13) {
auto x = NDArrayFactory::create<double>('c', {2, 3});
auto y = NDArrayFactory::create<double>('c', {3, 5});
auto exp = NDArrayFactory::create<double>('f', {5, 2}, {23. , 26. , 29. , 32. , 35., 50. , 57.5, 65. , 72.5, 80.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {0, 0, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test14) {
auto x = NDArrayFactory::create<double>('c', {3, 2});
auto y = NDArrayFactory::create<double>('c', {3, 5});
auto exp = NDArrayFactory::create<double>('f', {5, 2}, {37. , 41.5, 46. , 50.5, 55., 46. , 52. , 58. , 64. , 70.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 0, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test15) {
auto x = NDArrayFactory::create<double>('c', {3, 2});
auto y = NDArrayFactory::create<double>('c', {3, 5});
auto exp = NDArrayFactory::create<double>('f', {5, 2}, {37. , 41.5, 46. , 50.5, 55., 46. , 52. , 58. , 64. , 70.});
x.linspace(1.);
y.linspace(0.5, 0.5);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 0, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test16) {
auto x = NDArrayFactory::create<double>('c', {2,2, 3,5});
auto y = NDArrayFactory::create<double>('c', {2,2, 4,3});
auto exp = NDArrayFactory::create<double>('f',{2,2, 4,5}, {4.6, 281.8, 89.2, 582.4, 10. , 314.2,108.1, 628.3, 15.4, 346.6,127. , 674.2, 20.8, 379. ,145.9, 720.1, 5.2, 289.6, 93.4, 593.8,
11.5, 322.9,113.2, 640.6, 17.8, 356.2,133. , 687.4, 24.1, 389.5,152.8, 734.2, 5.8, 297.4, 97.6, 605.2, 13. , 331.6,118.3, 652.9,
20.2, 365.8,139. , 700.6, 27.4, 400. ,159.7, 748.3, 6.4, 305.2,101.8, 616.6, 14.5, 340.3,123.4, 665.2, 22.6, 375.4,145. , 713.8,
30.7, 410.5,166.6, 762.4, 7. , 313. ,106. , 628. , 16. , 349. ,128.5, 677.5, 25. , 385. ,151. , 727. , 34. , 421. ,173.5, 776.5});
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test17) {
auto x = NDArrayFactory::create<double>('f', {4, 3});
auto y = NDArrayFactory::create<double>('c', {4});
auto exp = NDArrayFactory::create<double>('f',{3}, {7., 8., 9.});
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 0});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test18) {
auto x = NDArrayFactory::create<double>('f', {3});
auto y = NDArrayFactory::create<double>('c', {4, 3});
auto exp = NDArrayFactory::create<double>('f',{4}, {1.4, 3.2, 5., 6.8});
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {0, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test19) {
auto x = NDArrayFactory::create<double>('f', {1, 1});
auto y = NDArrayFactory::create<double>('c', {1, 1});
auto exp = NDArrayFactory::create<double>('f',{1, 1}, {0.2});
x.linspace(2.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test20) {
auto x = NDArrayFactory::create<double>('f', {1, 1});
auto y = NDArrayFactory::create<double>('c', {1, 1});
auto exp = NDArrayFactory::create<double>('f',{1, 1}, {0.2});
x.linspace(2.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1,1,1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test21) {
auto x = NDArrayFactory::create<double>('f', {1});
auto y = NDArrayFactory::create<double>('c', {1, 1});
auto exp = NDArrayFactory::create<double>('f',{1}, {0.2});
x.linspace(2.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test22) {
auto x = NDArrayFactory::create<double>('f', {1,1});
auto y = NDArrayFactory::create<double>('c', {1});
auto exp = NDArrayFactory::create<double>('f',{1}, {0.2});
x.linspace(2.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test23) {
auto x = NDArrayFactory::create<double>('f', {4});
auto y = NDArrayFactory::create<double>('c', {4});
auto exp = NDArrayFactory::create<double>(3.);
x.linspace(1.);
y.linspace(0.1, 0.1);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, matmul_test24) {
auto x = NDArrayFactory::create<double>('f', {1}, {2.});
auto y = NDArrayFactory::create<double>('c', {1}, {3.});
auto exp = NDArrayFactory::create<double>(6.);
nd4j::ops::matmul op;
auto results = op.execute({&x, &y}, {}, {1, 1});
auto z = results->at(0);
ASSERT_EQ(Status::OK(), results->status());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete results;
}
TEST_F(DeclarableOpsTests9, test_range_int_1) {
auto x0 = NDArrayFactory::create<int>(0);
auto x1 = NDArrayFactory::create<int>(2);
auto x2 = NDArrayFactory::create<int>(1);
nd4j::ops::range op;
auto result = op.execute({&x0, &x1, &x2}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
z->printIndexedBuffer("z");
delete result;
}
TEST_F(DeclarableOpsTests9, test_range_empty_1) {
auto x0 = NDArrayFactory::create<int>(0);
auto x1 = NDArrayFactory::create<int>(0);
auto x2 = NDArrayFactory::create<int>(1);
nd4j::ops::range op;
auto result = op.execute({&x0, &x1, &x2}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(z->isEmpty());
delete result;
}
TEST_F(DeclarableOpsTests9, test_broadcast_bool_1) {
auto x = NDArrayFactory::create<double>('c', {1, 3, 2, 4, 4});
auto y = NDArrayFactory::create<double>('c', {1, 2, 4, 4});
auto z = NDArrayFactory::create<bool>('c', {1, 3, 2, 4, 4});
std::vector<int> dims = {0, 2, 3, 4};
x.applyBroadcast(broadcast::LessThan, dims, &y, &z, nullptr);
}
TEST_F(DeclarableOpsTests9, test_broadcast_bool_2) {
auto orig = NDArrayFactory::create<double>('c', {1, 7, 4, 4});
std::vector<Nd4jLong> list = {0,0, 0,2, 0,0, 0,0};
auto x = NDArrayFactory::create<double>('c', {1, 3, 2, 4, 4});
auto y = orig(list, true);
auto z = NDArrayFactory::create<bool>('c', {1, 3, 2, 4, 4});
std::vector<int> dims = {0, 2, 3, 4};
x.applyBroadcast(broadcast::LessThan, dims, &y, &z, nullptr);
}
TEST_F(DeclarableOpsTests9, test_unstack_1) {
auto x = NDArrayFactory::create<double>('c', {5, 5});
x.linspace(1.0);
nd4j::ops::unstack op;
auto result = op.execute({&x}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(5, result->size());
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, test_unstack_SGO_1) {
auto x = NDArrayFactory::create<double>({1, 2, 3, 4, 5});
x.linspace(1.0);
auto z1 = NDArrayFactory::create<double>(1);
auto z2 = NDArrayFactory::create<double>(2);
auto z3 = NDArrayFactory::create<double>(3);
auto z4 = NDArrayFactory::create<double>(4);
auto z5 = NDArrayFactory::create<double>(5);
std::vector<NDArray*> z({&z1, &z2, &z3, &z4, &z5});
nd4j::ops::unstack op;
auto result = op.execute({&x}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(5, result->size());
for (size_t i = 0; i < result->size(); i++) {
ASSERT_TRUE(result->at(i)->isSameShape(z[i]));
ASSERT_TRUE(result->at(i)->equalsTo(z[i]));
}
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, clipbynorm_test12) {
const int bS = 5;
const int nOut = 4;
const int axis = 0;
const double clip = 2.;
auto x = NDArrayFactory::create<double>('c', {bS, nOut}, {0.412 ,0.184 ,0.961 ,0.897 ,0.173 ,0.931 ,0.736 ,0.540 ,0.953 ,0.278 ,0.573 ,0.787 ,0.320 ,0.776 ,0.338 ,0.311 ,0.835 ,0.909 ,0.890 ,0.290}); // uniform random in range [0,1]
auto colVect = NDArrayFactory::create<double>('c', {bS, 1}, {0.9, 0.95, 1.00, 1.05, 1.1});
auto expect = NDArrayFactory::create<double>('c', {bS, nOut});
auto norm2 = x.reduceAlongDims(reduce::Norm2, {axis}, true); // norm2 has shape [1, nOut]
auto y = ( (x / norm2) * clip) * colVect ;
auto temp = (x / norm2) * clip;
for (int j = 0; j < nOut; ++j) {
auto yCol = y({0,0, j,j+1});
const double norm2Col = yCol.reduceNumber(reduce::Norm2).e<double>(0);
if (norm2Col <= clip)
expect({0,0, j,j+1}).assign(yCol);
else
expect({0,0, j,j+1}).assign ( yCol * (clip / norm2Col) );
}
nd4j::ops::clipbynorm op;
auto result = op.execute({&y}, {clip}, {axis}, {}, false, nd4j::DataType::DOUBLE);
auto outFF = result->at(0);
ASSERT_TRUE(expect.isSameShape(outFF));
ASSERT_TRUE(expect.equalsTo(outFF));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, clipbynorm_bp_test1) {
const int bS = 2;
const int nOut = 3;
const double clip = 0.7;
auto x = NDArrayFactory::create<double>('c', {bS, nOut}, {0.412 ,0.184 ,0.961 ,0.173 ,0.736 ,0.540 }); // uniform random in range [0,1]
auto gradO = NDArrayFactory::create<double>('c', {bS, nOut});
const OpArgsHolder argsHolderFF({&x}, {clip}, {});
const OpArgsHolder argsHolderBP({&x, &gradO}, {clip}, {});
nd4j::ops::clipbynorm opFF;
nd4j::ops::clipbynorm_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, clipbynorm_bp_test2) {
const int bS = 2;
const int nOut = 3;
const int axis = 0;
const double clip = 0.7;
auto x = NDArrayFactory::create<double>('c', {bS, nOut}, {0.412 ,0.184 ,0.961 ,0.173 ,0.736 ,0.540 }); // uniform random in range [0,1]
auto gradO = NDArrayFactory::create<double>('c', {bS, nOut});
const OpArgsHolder argsHolderFF({&x}, {clip}, {axis});
const OpArgsHolder argsHolderBP({&x, &gradO}, {clip}, {axis});
nd4j::ops::clipbynorm opFF;
nd4j::ops::clipbynorm_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, clipbynorm_bp_test3) {
const int bS = 2;
const int nOut = 3;
const int axis = 1;
const double clip = 1.;
auto x = NDArrayFactory::create<double>('c', {bS, nOut}, {0.412 ,0.184 ,0.961 ,0.173 ,0.736 ,0.540 }); // uniform random in range [0,1]
auto gradO = NDArrayFactory::create<double>('c', {bS, nOut});
const OpArgsHolder argsHolderFF({&x}, {clip}, {axis});
const OpArgsHolder argsHolderBP({&x, &gradO}, {clip}, {axis});
nd4j::ops::clipbynorm opFF;
nd4j::ops::clipbynorm_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_1) {
auto inputC = NDArrayFactory::create<double>('c', {3, 5}, {1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.});
auto axis = NDArrayFactory::create<Nd4jLong>(1);
auto expFF = NDArrayFactory::create<double>('c', {3, 5}, {1., 2., 6., 24., 120., 6., 42., 336., 3024., 30240.,11., 132.,1716., 24024.,360360.});
auto expTF = NDArrayFactory::create<double>('c', {3, 5}, {1, 1, 2, 6, 24,1, 6, 42, 336, 3024,1, 11, 132, 1716, 24024});
auto expFT = NDArrayFactory::create<double>('c', {3, 5}, {120, 120, 60, 20, 5,30240, 5040, 720, 90, 10,360360, 32760, 2730, 210, 15}); //+++
auto expTT = NDArrayFactory::create<double>('c', {3, 5}, {120, 60, 20, 5, 1,5040, 720, 90, 10, 1,32760, 2730, 210, 15, 1});
int exclusive, reverse;
//************************************//
exclusive = 0; reverse = 0;
nd4j::ops::cumprod op;
auto result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(expFF.equalsTo(z));
delete result;
//************************************//
exclusive = 1; reverse = 0;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTF.equalsTo(z));
delete result;
//************************************//
exclusive = 0; reverse = 1;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expFT.equalsTo(z));
delete result;
//************************************//
exclusive = 1; reverse = 1;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTT.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_2) {
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray x0 = x(0, {0});
NDArray x1 = x(1, {0});
x0.linspace(1, 0.1);
x1.linspace(1, 0.1);
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray exp0 = exp(0, {0});
NDArray exp1 = exp(1, {0});
exp0.p<float>(0, 1.);
exp1.p<float>(0, 1.);
for (int i = 1; i < 1500; ++i) {
const auto prev = exp0.e<float>(i-1);
exp0.p<float>(i, prev * x0.e<float>(i));
exp1.p<float>(i, prev * x1.e<float>(i));
}
nd4j::ops::cumprod op;
auto result = op.execute({&x}, {}, {0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_bp_check_1) {
auto x = NDArrayFactory::create<double>('c', {4, 4});
auto gradO = NDArrayFactory::create<double>('c', {4, 4});
x.linspace(1);
const OpArgsHolder argsHolderFF({&x}, {}, {0, 0});
const OpArgsHolder argsHolderBP({&x, &gradO}, {}, {0, 0});
nd4j::ops::cumprod opFF;
nd4j::ops::cumprod_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_bp_check_2) {
auto x = NDArrayFactory::create<double>('c', {4, 4});
auto gradO = NDArrayFactory::create<double>('c', {4, 4});
x.linspace(1);
const OpArgsHolder argsHolderFF({&x}, {}, {1, 1});
const OpArgsHolder argsHolderBP({&x, &gradO}, {}, {1, 1});
nd4j::ops::cumprod opFF;
nd4j::ops::cumprod_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_bp_check_3) {
auto x = NDArrayFactory::create<double>('c', {4, 4});
auto gradO = NDArrayFactory::create<double>('c', {4, 4});
x.linspace(1);
const OpArgsHolder argsHolderFF({&x}, {}, {1, 0});
const OpArgsHolder argsHolderBP({&x, &gradO}, {}, {1, 0});
nd4j::ops::cumprod opFF;
nd4j::ops::cumprod_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_bp_check_4) {
auto x = NDArrayFactory::create<double>('c', {4, 4});
auto gradO = NDArrayFactory::create<double>('c', {4, 4});
x.linspace(1);
const OpArgsHolder argsHolderFF({&x}, {}, {0, 1});
const OpArgsHolder argsHolderBP({&x, &gradO}, {}, {0, 1});
nd4j::ops::cumprod opFF;
nd4j::ops::cumprod_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
}
//////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumsum_bp_check_2) {
auto x = NDArrayFactory::create<double>('c', {4, 4});
auto gradO = NDArrayFactory::create<double>('c', {4, 4});
x.linspace(1);
const OpArgsHolder argsHolderFF({&x}, {}, {1, 1});
const OpArgsHolder argsHolderBP({&x, &gradO}, {}, {1, 1});
nd4j::ops::cumsum opFF;
nd4j::ops::cumsum_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_test1) {
auto inputC = NDArrayFactory::create<double>('c', {3, 5}, {1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.});
auto axis = NDArrayFactory::create<double>(1.);
auto expFF = NDArrayFactory::create<double>('c', {3, 5}, {1., 2., 6., 24., 120., 6., 42., 336., 3024., 30240.,11., 132.,1716., 24024.,360360.});
auto expTF = NDArrayFactory::create<double>('c', {3, 5}, {1, 1, 2, 6, 24,1, 6, 42, 336, 3024,1, 11, 132, 1716, 24024});
auto expFT = NDArrayFactory::create<double>('c', {3, 5}, {120, 120, 60, 20, 5,30240, 5040, 720, 90, 10,360360, 32760, 2730, 210, 15}); //+++
auto expTT = NDArrayFactory::create<double>('c', {3, 5}, {120, 60, 20, 5, 1,5040, 720, 90, 10, 1,32760, 2730, 210, 15, 1});
auto gradO = NDArrayFactory::create<double>('c', {3, 5});
int exclusive, reverse;
//************************************//
exclusive = 0; reverse = 0;
const OpArgsHolder argsHolderFF({&inputC, &axis}, {}, {exclusive, reverse});
const OpArgsHolder argsHolderBP({&inputC, &axis, &gradO}, {}, {exclusive, reverse});
nd4j::ops::cumprod opFF;
nd4j::ops::cumprod_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
//************************************//
/* exclusive = 1; reverse = 0;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse});
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTF.equalsTo(z));
delete result;
*/
//************************************//
/* exclusive = 0; reverse = 1;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse});
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expFT.equalsTo(z));
delete result;
*/
//************************************//
/* exclusive = 1; reverse = 1;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse});
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTT.equalsTo(z));
delete result;
*/
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, cumprod_test2) {
auto inputC = NDArrayFactory::create<double>('c', {2, 2});
auto axis = NDArrayFactory::create<double>(1.);
// auto expFF = NDArrayFactory::create<double>('c', {3, 5}, {1., 2., 6., 24., 120., 6., 42., 336., 3024., 30240.,11., 132.,1716., 24024.,360360.});
// auto expTF = NDArrayFactory::create<double>('c', {3, 5}, {1, 1, 2, 6, 24,1, 6, 42, 336, 3024,1, 11, 132, 1716, 24024});
// auto expFT = NDArrayFactory::create<double>('c', {3, 5}, {120, 120, 60, 20, 5,30240, 5040, 720, 90, 10,360360, 32760, 2730, 210, 15}); //+++
// auto expTT = NDArrayFactory::create<double>('c', {3, 5}, {120, 60, 20, 5, 1,5040, 720, 90, 10, 1,32760, 2730, 210, 15, 1});
auto gradO = NDArrayFactory::create<double>('c', {2, 2});
int exclusive, reverse;
//************************************//
exclusive = 0; reverse = 0;
inputC.linspace(1);
const OpArgsHolder argsHolderFF({&inputC, &axis}, {}, {exclusive, reverse});
const OpArgsHolder argsHolderBP({&inputC, &axis, &gradO}, {}, {exclusive, reverse});
nd4j::ops::cumprod opFF;
nd4j::ops::cumprod_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1, 1, 1}, {1, 1},GradCheck::MEAN);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>('c', {3, 4}, {-0.6f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f, 0.f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {7.2f, 5.5f, 4.f, 2.7f, 1.6f, 0.7f, 0.f, -0.5f,-0.8f, -0.9f, -0.8f, -0.5f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test2) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>('c', {3}, {-0.6f, 2.f, 4.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {7.2f, 6.6f, 6.f, 5.4f, -16.f, -14.f, -12.f, -10.f, -16.f, -12.f, -8.f, -4.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test3) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>('c', {3,1}, {-0.6f, 2.f, 4.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {7.2f, 6.6f, 6.f, 5.4f, -16.f, -14.f, -12.f, -10.f, -16.f, -12.f, -8.f, -4.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test4) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>('c', {1, 3}, {-0.6f, 2.f, 4.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {7.2f, 6.6f, 6.f, 5.4f, -16.f, -14.f, -12.f, -10.f, -16.f, -12.f, -8.f, -4.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test5) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>('c', {4}, {-0.6f, 2.f, 4.f, -1.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {7.2f, -22.f, -40.f, 9.f, 4.8f, -14.f, -24.f, 5.f, 2.4f, -6.f, -8.f, 1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {1}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test6) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>('c', {1,1,1}, {-2.});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {24.f, 22.f, 20.f, 18.f, 16.f, 14.f, 12.f, 10.f, 8.f, 6.f, 4.f, 2.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {1,0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test7) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>(-2.f);
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {24.f, 22.f, 20.f, 18.f, 16.f, 14.f, 12.f, 10.f, 8.f, 6.f, 4.f, 2.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {1,0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test8) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto alpha = NDArrayFactory::create<double>(-2.f);
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {24.f, 22.f, 20.f, 18.f, 16.f, 14.f, 12.f, 10.f, 8.f, 6.f, 4.f, 2.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {1,0,1,0,1,0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test9) {
auto x = NDArrayFactory::create<double>('c', {2, 4}, {-4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f});
auto alpha = NDArrayFactory::create<double>(-2.f);
auto exp = NDArrayFactory::create<double>('c', {2, 4}, {8.f, 6.f, 4.f, 2.f,0.f, 1.f, 2.f, 3.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {0}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test10) {
auto x = NDArrayFactory::create<double>('c', {2, 4}, {-4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f});
auto alpha = NDArrayFactory::create<double>(-2.f);
auto exp = NDArrayFactory::create<double>('c', {2, 4}, {8.f, 6.f, 4.f, 2.f,0.f, 1.f, 2.f, 3.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {1}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test11) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4, 5});
x.linspace(-50.);
auto alpha = NDArrayFactory::create<double>('c', {4}, {0.f, -0.5f, 0.5f, -1.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4, 5}, {0.f, 0.f, 0.f, 0.f, 0.f, 22.5f, 22.f, 21.5f, 21.f, 20.5f, -20.f, -19.5f, -19.f, -18.5f, -18.f, 35.f, 34.f, 33.f,
32.f, 31.f, 0.f, 0.f, 0.f, 0.f, 0.f, 12.5f, 12.f, 11.5f, 11.f, 10.5f, -10.f, -9.5f, -9.f, -8.5f, -8.f, 15.f,
14.f, 13.f, 12.f, 11.f, 0.f, 0.f, 0.f, 0.f, 0.f, 2.5f, 2.f, 1.5f, 1.f, 0.5f, 0.f, 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, 25.f, 26.f, 27.f, 28.f, 29.f, 30.f, 31.f, 32.f, 33.f, 34.f, 35.f, 36.f, 37.f, 38.f, 39.f, 40.f, 41.f, 42.f,
43.f, 44.f, 45.f, 46.f, 47.f, 48.f, 49.f, 50.f, 51.f, 52.f, 53.f, 54.f, 55.f, 56.f, 57.f, 58.f, 59.f, 60.f, 61.f,
62.f, 63.f, 64.f, 65.f, 66.f, 67.f, 68.f, 69.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {1,3}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test12) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4, 5});
x.linspace(-50.);
auto alpha = NDArrayFactory::create<double>('c', {3,5}, {-0.7f, -0.6f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f, 0.f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4, 5}, {35.f, 29.4f, 24.f, 18.8f, 13.8f, 31.5f, 26.4f, 21.5f, 16.8f, 12.3f, 28.f, 23.4f, 19.f, 14.8f, 10.8f, 24.5f, 20.4f, 16.5f, 12.8f,
9.3f, 6.f, 2.9f, 0.f, -2.7f, -5.2f, 5.f, 2.4f, 0.f, -2.2f, -4.2f, 4.f, 1.9f, 0.f, -1.7f, -3.2f, 3.f, 1.4f, 0.f, -1.2f,
-2.2f, -3.f, -3.6f, -4.f, -4.2f, -4.2f, -1.5f, -1.6f, -1.5f, -1.2f, -0.7f, 0.f, 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, 25.f, 26.f, 27.f, 28.f, 29.f, 30.f,
31.f, 32.f, 33.f, 34.f, 35.f, 36.f, 37.f, 38.f, 39.f, 40.f, 41.f, 42.f, 43.f, 44.f, 45.f, 46.f, 47.f, 48.f, 49.f, 50.f, 51.f, 52.f,
53.f, 54.f, 55.f, 56.f, 57.f, 58.f, 59.f, 60.f, 61.f, 62.f, 63.f, 64.f, 65.f, 66.f, 67.f, 68.f, 69.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {-1, 2}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test13) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4, 5});
x.linspace(-50.);
auto alpha = NDArrayFactory::create<double>('c', {5,3}, {-0.7f, -0.6f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f, 0.f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4, 5}, {35.f, 29.4f, 24.f, 18.8f, 13.8f, 31.5f, 26.4f, 21.5f, 16.8f, 12.3f, 28.f, 23.4f, 19.f, 14.8f, 10.8f, 24.5f, 20.4f, 16.5f, 12.8f,
9.3f, 6.f, 2.9f, 0.f, -2.7f, -5.2f, 5.f, 2.4f, 0.f, -2.2f, -4.2f, 4.f, 1.9f, 0.f, -1.7f, -3.2f, 3.f, 1.4f, 0.f, -1.2f,
-2.2f, -3.f, -3.6f, -4.f, -4.2f, -4.2f, -1.5f, -1.6f, -1.5f, -1.2f, -0.7f, 0.f, 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, 25.f, 26.f, 27.f, 28.f, 29.f, 30.f,
31.f, 32.f, 33.f, 34.f, 35.f, 36.f, 37.f, 38.f, 39.f, 40.f, 41.f, 42.f, 43.f, 44.f, 45.f, 46.f, 47.f, 48.f, 49.f, 50.f, 51.f, 52.f,
53.f, 54.f, 55.f, 56.f, 57.f, 58.f, 59.f, 60.f, 61.f, 62.f, 63.f, 64.f, 65.f, 66.f, 67.f, 68.f, 69.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {-1, 2}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_test14) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4, 5});
x.linspace(-50.);
auto alpha = NDArrayFactory::create<double>('c', {2,10}, {-0.7f, -0.6f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f, 0.f, 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.f, 1.1f, 1.2f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4, 5}, {35.f, 29.4f, 24.f, 18.8f, 13.8f, 9.f, 4.4f, 0.f, -4.2f, -8.2f, -12.f, -15.6f, -19.f, -22.2f, -25.2f, -28.f, -30.6f,
-33.f,-35.2f, -37.2f, 21.f, 17.4f, 14.f, 10.8f, 7.8f, 5.f, 2.4f, 0.f, -2.2f, -4.2f, -6.f, -7.6f, -9.f, -10.2f,
-11.2f, -12.f, -12.6f, -13.f, -13.2f, -13.2f, 7.f, 5.4f, 4.f, 2.8f, 1.8f, 1.f, 0.4f, 0.f, -0.2f, -0.2f, 0.f,
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, 25.f, 26.f, 27.f, 28.f, 29.f, 30.f, 31.f, 32.f, 33.f, 34.f, 35.f, 36.f,
37.f, 38.f, 39.f, 40.f, 41.f, 42.f, 43.f, 44.f, 45.f, 46.f, 47.f, 48.f, 49.f, 50.f, 51.f, 52.f, 53.f, 54.f,
55.f, 56.f, 57.f, 58.f, 59.f, 60.f, 61.f, 62.f, 63.f, 64.f, 65.f, 66.f, 67.f, 68.f, 69.f});
nd4j::ops::prelu op;
auto result = op.execute({&x, &alpha}, {}, {-2}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, thresholdedrelu_test1) {
const float theta = 2.f;
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {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, 3.f,4.f, 5.f, 6.f, 7.f,8.f, 9.f,10.f,11.f});
nd4j::ops::thresholdedrelu op;
auto result = op.execute({&x}, {theta}, {}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, compare_and_bitpack_test1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12.f, -11.f, -10.f, -9.f, -8.f, -7.f, -6.f, -5.f, -4.f, -3.f, -2.f, -1.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f});
auto threshold = NDArrayFactory::create<double>(2.0);
auto exp = NDArrayFactory::create<uint8_t>('c', {2, 3, 4}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1});
nd4j::ops::compare_and_bitpack op;
auto result = op.execute({&x, &threshold}, {}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
// output->printIndexedBuffer("Packed to uint8");
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, thresholdedrelu_test2) {
const float theta = -2.f;
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {0.f,-4.f, -10.f, -8.f, 0.f, -9.f, -8.f, 5.f, 6.f, 6.f, 9.f, 6.f, -8.f, 5.f, 10.f, -2.f, 3.f, -7.f, 4.f, -8.f, -4.f, -9.f, -9.f, 3.f});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 5.f, 6.f, 6.f, 9.f, 6.f, 0.f, 5.f, 10.f, 0.f, 3.f, 0.f, 4.f, 0.f, 0.f, 0.f, 0.f, 3.f});
nd4j::ops::thresholdedrelu op;
auto result = op.execute({&x}, {theta}, {}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto output = result->at(0);
ASSERT_TRUE(exp.isSameShape(output));
ASSERT_TRUE(exp.equalsTo(output));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_bp_test1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12., -11., -10., -9., -8., -7., -6., -5., -4., -3., -2., -1., 0.5, 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11.});
auto alpha = NDArrayFactory::create<double>('c', {3, 4}, {-0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.5, 0.1, 0.2, 0.3, 0.4, 0.5});
auto dLdO = NDArrayFactory::create<double>('c', {2, 3, 4});
const OpArgsHolder argsHolderFF({&x, &alpha}, {}, {});
const OpArgsHolder argsHolderBP({&x, &alpha, &dLdO}, {}, {});
nd4j::ops::prelu opFF;
nd4j::ops::prelu_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_bp_test2) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {-12., -11., -10., -9., -8., -7., -6., -5., -4., -3., -2., -1., 0.5, 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11.});
auto alpha = NDArrayFactory::create<double>('c', {4}, {-0.6, 2., 4., -1.});
auto dLdO = NDArrayFactory::create<double>('c', {2, 3, 4});
const OpArgsHolder argsHolderFF({&x, &alpha}, {}, {1});
const OpArgsHolder argsHolderBP({&x, &alpha, &dLdO}, {}, {1});
nd4j::ops::prelu opFF;
nd4j::ops::prelu_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_bp_test3) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 2, 5});
x.linspace(-30.);
x.p(30, 0.5); // avoid zero, since it is points of discontinuity for prelu
auto alpha = NDArrayFactory::create<double>('c', {5,3}, {-0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.5, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7});
auto dLdO = NDArrayFactory::create<double>('c', {2, 3, 2, 5});
const OpArgsHolder argsHolderFF({&x, &alpha}, {}, {-1, 2});
const OpArgsHolder argsHolderBP({&x, &alpha, &dLdO}, {}, {-1, 2});
nd4j::ops::prelu opFF;
nd4j::ops::prelu_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, prelu_bp_test4) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4, 5});
x.linspace(-50.);
x.p(50, 0.5); // avoid zero, since it is points of discontinuity for prele
auto alpha = NDArrayFactory::create<double>('c', {2,10}, {-0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.25, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1., 1.1, 1.2});
auto dLdO = NDArrayFactory::create<double>('c', {2, 3, 4, 5});
const OpArgsHolder argsHolderFF({&x, &alpha}, {}, {-2});
const OpArgsHolder argsHolderBP({&x, &alpha, &dLdO}, {}, {-2});
nd4j::ops::prelu opFF;
nd4j::ops::prelu_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, thresholdedrelu_bp_test1) {
const double theta = 0.15;
auto x = NDArrayFactory::create<double>('c', {2, 3, 4}, {1.2, 1.1, 1., 0.9, 0.8, -0.7, -0.6,-0.5,-0.4,-0.3,-0.2,-0.1, 0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, -0.9, -1.0, -1.1});
auto dLdO = NDArrayFactory::create<double>('c', {2, 3, 4});
const OpArgsHolder argsHolderFF({&x}, {theta}, {});
const OpArgsHolder argsHolderBP({&x, &dLdO}, {theta}, {});
nd4j::ops::thresholdedrelu opFF;
nd4j::ops::thresholdedrelu_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_test1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4});
auto y = NDArrayFactory::create<double>('c', {4});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {0.1f, 0.4f, 0.9f, 1.6f, 0.5f, 1.2f, 2.1f, 3.2f, 0.9f, 2.f, 3.3f, 4.8f, 1.3f, 2.8f, 4.5f, 6.4f, 1.7f, 3.6f, 5.7f, 8.f, 2.1f, 4.4f, 6.9f, 9.6f});
x.linspace(1.f);
y.linspace(0.1f, 0.1f);
nd4j::ops::multiply op;
auto result = op.execute({&x, &y}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_test2) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4});
auto y = NDArrayFactory::create<double>(0.1);
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.f, 2.1f, 2.2f, 2.3f, 2.4f});
x.linspace(1.f);
// y.linspace(0.1f, 0.1f);
nd4j::ops::multiply op;
auto result = op.execute({&y, &x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_test3) {
auto x = NDArrayFactory::create<double>('c', {2, 1, 4});
auto y = NDArrayFactory::create<double>('c', {3,1});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 4}, {0.1f, 0.2f, 0.3f, 0.4f, 0.2f, 0.4f, 0.6f, 0.8f, 0.3f, 0.6f, 0.9f, 1.2f, 0.5f, 0.6f, 0.7f, 0.8f, 1.f, 1.2f, 1.4f, 1.6f, 1.5f, 1.8f, 2.1f, 2.4f});
x.linspace(1.f);
y.linspace(0.1f, 0.1f);
nd4j::ops::multiply op;
auto result = op.execute({&x, &y}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_test4) {
auto x = NDArrayFactory::create<double>('c', {1, 1});
auto y = NDArrayFactory::create<double>(0.1f);
auto exp = NDArrayFactory::create<double>('c', {1, 1}, {0.1f});
x.linspace(1.f);
nd4j::ops::multiply op;
auto result = op.execute({&x, &y}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_test5) {
auto x = NDArrayFactory::create<double>(1.f);
auto y = NDArrayFactory::create<double>(0.1f);
auto exp = NDArrayFactory::create<double>(0.1f);
nd4j::ops::multiply op;
auto result = op.execute({&x, &y}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test1) {
auto x = NDArrayFactory::create<double>('c', {1, 1}, {100.});
auto y = NDArrayFactory::create<double>(0.1);
auto dLdz = NDArrayFactory::create<double>('c', {1, 1});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
auto resFF = opFF.execute({&x, &y}, {}, {});
auto resBP = opBP.execute({&x, &y, &dLdz}, {}, {});
// resFF->at(0)->printIndexedBuffer("Multiply 1x1");
// resBP->at(0)->printIndexedBuffer("Multiply BP 1x1 x");
// resBP->at(1)->printIndexedBuffer("Multyply BP 1x1 y");*/
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
delete resFF;
delete resBP;
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test2) {
auto x = NDArrayFactory::create<double>('c', {2, 2}, {1.,2.,3.,4.});
auto y = NDArrayFactory::create<double>(0.1);
auto dLdz = NDArrayFactory::create<double>('c', {2, 2});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test3) {
auto y = NDArrayFactory::create<double>('c', {2, 2}, {1.,2.,3.,4.});
auto x = NDArrayFactory::create<double>(0.1);
auto dLdz = NDArrayFactory::create<double>('c', {2, 2});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test4) {
auto x = NDArrayFactory::create<double>('c', {2, 2}, {1.,2.,3.,4.});
auto y = NDArrayFactory::create<double>('c', {2, 2}, {0.1,0.2,0.3,0.4});
auto dLdz = NDArrayFactory::create<double>('c', {2, 2});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test5) {
auto x = NDArrayFactory::create<double>('c', {2, 2}, {1.,2.,3.,4.});
auto y = NDArrayFactory::create<double>('c', {2}, {0.1,0.2});
auto dLdz = NDArrayFactory::create<double>('c', {2, 2});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test6) {
auto y = NDArrayFactory::create<double>('c', {2, 2}, {1.,2.,3.,4.});
auto x = NDArrayFactory::create<double>('c', {2}, {0.1,0.2});
auto dLdz = NDArrayFactory::create<double>('c', {2, 2});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test7) {
auto y = NDArrayFactory::create<double>('c', {2, 3}, {1.,2.,3.,4.,5.,6.});
auto x = NDArrayFactory::create<double>('c', {2, 1}, {0.1,0.2});
auto dLdz = NDArrayFactory::create<double>('c', {2, 3});
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, multiply_bp_test8) {
auto y = NDArrayFactory::create<double>('c', {2, 1, 4});
auto x = NDArrayFactory::create<double>('c', {1, 3, 4});
auto dLdz = NDArrayFactory::create<double>('c', {2, 3, 4});
x.linspace(1., 0.5);
y.linspace(0.1, 0.05);
const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
nd4j::ops::multiply opFF;
nd4j::ops::multiply_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Floormod_BP_Test_2) {
auto y = NDArrayFactory::create<double>('c', {10, 10});
auto x = NDArrayFactory::create<double>('c', {10, 10});
auto dLdz = NDArrayFactory::create<double>('c', {10, 10});
//auto eps = NDArrayFactory::create<double>('c', {10, 10});
x.linspace(4); //2., 2.0);
y.linspace(3);
dLdz.linspace(1);
// const OpArgsHolder argsHolderFF({&x, &y}, {}, {});
// const OpArgsHolder argsHolderBP({&x, &y, &dLdz}, {}, {});
// nd4j::ops::floormod opFF;
// auto resFF = opFF.execute({&x, &y}, {}, {});
// resFF->at(0)->printIndexedBuffer("FF floormod");
// delete resFF;
nd4j::ops::floormod_bp opBP;
auto resBP = opBP.execute({&x, &y, &dLdz}, {}, {});
ASSERT_TRUE(resBP->status() == ND4J_STATUS_OK);
// resBP->at(0)->printIndexedBuffer("BP floormod /dx");
// resBP->at(1)->printIndexedBuffer("BP floormod /dy");
ASSERT_TRUE(dLdz.equalsTo(resBP->at(0)));
ASSERT_TRUE(dLdz.equalsTo(resBP->at(1)));
delete resBP;
// const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
// ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Dynamic_Partition_BP_1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 4});
auto y = NDArrayFactory::create<int>('c', {2, 3}, {0, 1, 2, 1, 0, 2});
auto dLdzX = NDArrayFactory::create<double>('c', {2, 4});
auto dLdzY = NDArrayFactory::create<double>('c', {2, 4});
auto dLdzZ = NDArrayFactory::create<double>('c', {2, 4});
auto exp = NDArrayFactory::create<double>('c', {2,3,4}, {1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 3, 3, 3, 3});
x.linspace(1);
// dLdzX.linspace(1);
// dLdzY.linspace(2);
// dLdzZ.linspace(3);
dLdzX.assign(1);
dLdzY.assign(2);
dLdzZ.assign(3);
nd4j::ops::dynamic_partition op1;
auto res1 = op1.execute({&x, &y}, {}, {3});
nd4j::ops::dynamic_partition_bp op2;
auto res2 = op2.execute({&x, &y, &dLdzX, &dLdzY, &dLdzZ}, {}, {3});
ASSERT_TRUE(res2->status() == ND4J_STATUS_OK);
ASSERT_TRUE(res2->size() == 2);
// printf("How many: %ul\n", res2->size());
// res2->at(0)->printBuffer("Ouputput0");
// res2->at(1)->printBuffer("Ouputput1");
ASSERT_TRUE(res2->at(0)->equalsTo(exp));
delete res1;
delete res2;
}
//////////////////////////////////////////////////////////////////////
//TEST_F(DeclarableOpsTests9, Dynamic_Partition_BP_2) {
//
// auto x = NDArrayFactory::create<double>('c', {2, 3, 4});
// auto y = NDArrayFactory::create<int>('c', {2, 3}, {0, 1, 2, 1, 0, 2});
// auto dLdzX = NDArrayFactory::create<double>('c', {2, 4});
// auto dLdzY = NDArrayFactory::create<double>('c', {2, 4});
// auto dLdzZ = NDArrayFactory::create<double>('c', {2, 4});
// x.linspace(1);
// dLdzX.linspace(1);
// dLdzY.linspace(1);
// dLdzZ.linspace(1);
//
// const OpArgsHolder argsHolderFF({&x, &y}, {}, {3});
// const OpArgsHolder argsHolderBP({&x, &y, &dLdzX, &dLdzY, &dLdzZ}, {}, {3});
//
// nd4j::ops::dynamic_partition opFF;
// nd4j::ops::dynamic_partition_bp opBP;
//
// const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
//
// ASSERT_TRUE(isGradCorrect);
//}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Floormod_BP_Test_4) {
auto x = NDArrayFactory::create<double>('c', {2, 1, 3}, {2.0, 6.0, -3.0, 2.0, 6.0, -3.0});
auto y = NDArrayFactory::create<double>('c', {1, 3}, {-3.0, 2.0, -2.0});
auto exp = NDArrayFactory::create<double>('c', {1, 3}, {-1., 0., -1.});
auto eps = NDArrayFactory::create<double>('c', {2, 1, 3});
eps.assign(1.f);
nd4j::ops::floormod_bp op;
auto result = op.execute({&x, &y, &eps}, {}, {});
ASSERT_TRUE(result->size() == 2);
auto gradX = result->at(0);
auto gradY = result->at(1);
// gradX->printIndexedBuffer("gradX");
// gradY->printIndexedBuffer("gradY");
ASSERT_TRUE(exp.isSameShape(gradY));
ASSERT_TRUE(exp.equalsTo(gradY));
delete result;
}
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, batchnorm_bp_test1) {
auto input = NDArrayFactory::create<double>('c', {3,2});
auto mean = NDArrayFactory::create<double>('c', {2,3,2});
auto variance = NDArrayFactory::create<double>('c', {2,3,1,3,2});
auto gamma = NDArrayFactory::create<double>('c', {1,1});
auto beta = NDArrayFactory::create<double>('c', {1,2});
auto dLdO = NDArrayFactory::create<double>('c', {2,3,2,3,2});
input.linspace(0.1, 0.1);
mean.assign(1.);
variance.assign(0.5);
gamma.assign(1.2);
beta.assign(1.);
const OpArgsHolder argsHolderFF({&input, &mean, &variance, &gamma, &beta}, {1e-5}, {1,1});
const OpArgsHolder argsHolderBP({&input, &mean, &variance, &gamma, &beta, &dLdO}, {1e-5}, {1,1});
nd4j::ops::batchnorm opFF;
nd4j::ops::batchnorm_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, batchnorm_bp_test2) {
auto input = NDArrayFactory::create<double>('c', {2,3,2,3,2});
auto mean = NDArrayFactory::create<double>('c', {2,3,2});
auto variance = NDArrayFactory::create<double>('c', {2,3,1,3,1});
auto gamma = NDArrayFactory::create<double>('c', {1,1});
auto dLdO = NDArrayFactory::create<double>('c', {2,3,2,3,2});
input.linspace(0.1, 0.1);
mean.assign(1.);
variance.assign(0.5);
gamma.assign(1.2);
const OpArgsHolder argsHolderFF({&input, &mean, &variance, &gamma}, {1e-5}, {1,0});
const OpArgsHolder argsHolderBP({&input, &mean, &variance, &gamma, &dLdO}, {1e-5}, {1,0});
nd4j::ops::batchnorm opFF;
nd4j::ops::batchnorm_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, batchnorm_bp_test3) {
auto input = NDArrayFactory::create<double>('c', {2,3,1,3});
auto mean = NDArrayFactory::create<double>('c', {1,3,2,1});
auto variance = NDArrayFactory::create<double>('c', {2,1,2,3});
auto dLdO = NDArrayFactory::create<double>('c', {2,3,2,3});
input.linspace(0.1, 0.1);
mean.assign(1.);
variance.assign(0.5);
const OpArgsHolder argsHolderFF({&input, &mean, &variance}, {1e-5}, {0,0});
const OpArgsHolder argsHolderBP({&input, &mean, &variance, &dLdO}, {1e-5}, {0,0});
nd4j::ops::batchnorm opFF;
nd4j::ops::batchnorm_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
ASSERT_TRUE(isGradCorrect);
}
/*
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, gru_cell_bp_test1) {
const int bS = 2;
const int iS = 3;
const int nU = 4;
NDArray x('c', {bS, iS}, nd4j::DataType::DOUBLE);
NDArray hi('c', {bS, nU}, nd4j::DataType::DOUBLE);
NDArray W('c', {iS+nU, 2*nU}, nd4j::DataType::DOUBLE);
NDArray Wc('c', {iS+nU, nU}, nd4j::DataType::DOUBLE);
NDArray b('c', {2*nU}, nd4j::DataType::DOUBLE);
NDArray bc('c', {nU}, nd4j::DataType::DOUBLE);
NDArray dLdr('c', {bS, nU}, nd4j::DataType::DOUBLE);
NDArray dLdu('c', {bS, nU}, nd4j::DataType::DOUBLE);
NDArray dLdc('c', {bS, nU}, nd4j::DataType::DOUBLE);
NDArray dLdh('c', {bS, nU}, nd4j::DataType::DOUBLE);
x.linspace(-5, 0.5);
hi = 1.;
W = 0.003;
Wc = 0.006;
b = 0.5;
bc = 0.35;
const OpArgsHolder argsHolderFF({&x, &hi, &W, &Wc, &b, &bc}, {}, {});
nd4j::ops::gruCell op;
auto results = op.execute(argsHolderFF);
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto u = results->at(1); // [bS, nU]
auto c = results->at(2); // [bS, nU]
auto h = results->at(3); // [bS, nU]
dLdh = 1.; // SUM loss
NDArray Wch = Wc({iS,iS+nU, 0,0}); // [nU, nU]
NDArray dhdc = 1. - *u;
NDArray dhdu = hi - *c;
NDArray dcdZc = 1. - *c * *c;
dLdc.assign(dLdh * dhdc);
dLdu.assign(dLdh * dhdu);
dLdr.assign(mmul(dLdc * dcdZc * hi, Wch.transpose()));
delete results;
const OpArgsHolder argsHolderBP({&x, &hi, &W, &Wc, &b, &bc, &dLdr, &dLdu, &dLdc, &dLdh}, {}, {});
nd4j::ops::gruCell opFF;
nd4j::ops::gruCell_bp opBP;
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP, {1, 1, 1, 1 , 1, 1}, {0., 1.}, nd4j::GradCheck::LossFunc::SUM, true);
ASSERT_TRUE(isGradCorrect);
}
*/
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Cholesky_Test_1) {
NDArray x = NDArrayFactory::create<double>('c', {3, 3}, {4,12,-16, 12 ,37,-43, -16, -43, 98});
NDArray exp = NDArrayFactory::create<double>('c', {3,3}, {2., 0., 0., 6., 1., 0., -8., 5., 3.});
nd4j::ops::cholesky op;
auto result = op.execute({&x}, {}, {});
ASSERT_EQ(result->status(), ND4J_STATUS_OK);
auto res = result->at(0);
// res->printIndexedBuffer("Output for Cholesky1");
ASSERT_TRUE(exp.equalsTo(res));
delete result;
}
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Cholesky_Test_2) {
NDArray x = NDArrayFactory::create<double>('c', {2, 3, 3}, {4, 12,-16, 12 ,37,-43, -16, -43, 98, 1, 1, 1, 1, 2, 2, 1, 2., 6});
NDArray exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {2., 0., 0., 6., 1., 0., -8., 5., 3., 1., 0., 0., 1., 1., 0,1., 1., 2.});
nd4j::ops::cholesky op;
auto result = op.execute({&x}, {}, {});
ASSERT_EQ(result->status(), ND4J_STATUS_OK);
auto res = result->at(0);
// res->printIndexedBuffer("Output for Cholesky 2");
ASSERT_TRUE(exp.equalsTo(res));
delete result;
}
////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests9, Cholesky_Test_3) {
NDArray x = NDArrayFactory::create<float>('c', {2, 3, 3}, {4, 12,-16, 12 ,37,-43, -16, -43, 98, 1, 1, 1, 1, 2, 2, 1, 2., 6});
NDArray exp = NDArrayFactory::create<float>('c', {2, 3, 3}, {2., 0., 0., 6., 1., 0., -8., 5., 3., 1., 0., 0., 1., 1., 0,1., 1., 2.});
nd4j::ops::cholesky op;
auto result = op.execute({&x}, {}, {});
ASSERT_EQ(result->status(), ND4J_STATUS_OK);
auto res = result->at(0);
// res->printIndexedBuffer("Output for Cholesky 3");
ASSERT_TRUE(exp.equalsTo(res));
delete result;
}
////////////////////////////////////////////////////////////////////
// TEST_F(DeclarableOpsTests9, gru_bp_test1) {
// const int time = 5;
// const int bS = 2;
// const int iS = 3;
// const int nU = 4;
// NDArray<double> x ('c', {time, bS, iS});
// NDArray<double> h0 ('c', {bS, nU});
// NDArray<double> Wx ('c', {iS, 3*nU});
// NDArray<double> Wh ('c', {nU, 3*nU});
// NDArray<double> b ('c', {3*nU});
// NDArray<double> dLdh ('c', {time, bS, nU});
// x.linspace(0.5, 0.5);
// h0 = 1.;
// Wx = 0.003;
// Wh = 0.006;
// b = 0.5;
// const OpArgsHolder<double> argsHolderFF({&x, &h0, &Wx, &Wh, &b}, {}, {});
// const OpArgsHolder<double> argsHolderBP({&x, &h0, &Wx, &Wh, &b, &dLdh}, {}, {});
// nd4j::ops::gru<double> opFF;
// nd4j::ops::gru_bp<double> opBP;
// const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
// ASSERT_TRUE(isGradCorrect);
// }
//