cavis/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests6.cpp
Oleh d52e67209e
Oleh convert (#200)
* StringUtils for utf convertor raw implementation of all possible combinations, need to be add counter of bytes per symbol for any type and add api to call convertors and store data

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor more corrections to support convertors

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor some corrections and bug fixes, need review to discuss how to add multi-threading

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some corrections to move to multi-threading, add one test need discussion data inputs/outputs array presentation, need discussion the way of multi-threading

* StringUtils for utf convertor #8613 tests added some corrections to optimize build

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some corrections and code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 code clean up and optimize usage, need update ndarray factory before replace std usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some staff to integrate converters into NDArrayFactory, update tests and add some functionality

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 minor corrections and bug fix before discussion

* StringUtils for utf convertor #8613 some fixes and tets

* StringUtils for utf convertor #8613 some more staff to support different unicode

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fix linking bug

* StringUtils for utf convertor #8613 corrected several tests as defaults for string ndarray changed

* StringUtils for utf convertor #8613 replace some incorrect implementation, revert some test changes, need sync before testing

* StringUtils for utf convertor #8613 fixed several thing that were badly implemented yesterday, need optimization, testing (before testing have to be add support of u32 and u16 buffer visualization)

* StringUtils for utf convertor #8613 fixed to support u16 and u32, and convertor in ndarray, fix buffer print, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 merge master and sync with server

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some correction for string cast, need print check only asci support

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 merge master, remove copies and add cast, need test, refactoring according review and clean up

* StringUtils for utf convertor #8613 fixed cast and copy issues

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fixed cuda and update tests

* StringUtils for utf convertor #8613 integration into NdArray, fix several tests for build pass, refactoring, etc

* - avoid ambiguity of NDArray ctrs overloading in some tests

Signed-off-by: Yurii <iuriish@yahoo.com>

* StringUtils for utf convertor #8613 NDArray string constructors added, updated NDArrayFactory, refactoring unicode and tests, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fixed cuda build and test, refactoring and void* added to some functions

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613  void* integration, removed copy operation, refactoring, added tests for NDArray string constructors, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 several more fixes, improvements and updates

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 master merge, code clean up and optimization before review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 minor fixes string element size define

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 revert last changes as mistake

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fixed NDArray constructor build problem, remove order from string factory, fixed order use for factory via project, added catch of incorrect sync in cast of arrays to data types, fixed e method for strings, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 added javacpp hack, added multi-threading, minor corrections in license agreement

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 windows builds fix, as "sting" is not treated as utf8

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-31 16:30:49 +03:00

2814 lines
109 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// Created by raver119 on 09.02.18.
//
#include "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <helpers/helper_hash.h>
#include <NDArray.h>
#include <array/NDArrayList.h>
using namespace nd4j;
using namespace nd4j::graph;
class DeclarableOpsTests6 : public testing::Test {
public:
DeclarableOpsTests6() {
printf("\n");
fflush(stdout);
}
};
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_1) {
auto matrix = NDArrayFactory::create<double>('c', {5, 2});
auto b = NDArrayFactory::create<double>('c', {1}, {0.});
auto e = NDArrayFactory::create<double>('c', {1}, {1});
auto s = NDArrayFactory::create<double>('c', {1}, {1});
auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_2) {
auto matrix = NDArrayFactory::create<double>('c', {5, 2});
auto b = NDArrayFactory::create<double>('c', {1}, {0.0f});
auto e = NDArrayFactory::create<double>('c', {1}, {1.0f});
auto s = NDArrayFactory::create<double>('c', {1}, {1.0f});
auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_EQ(exp, *z);
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_3) {
auto matrix = NDArrayFactory::create<double>(10);
auto b = NDArrayFactory::create<double>(0);
auto e = NDArrayFactory::create<double>(0);
auto s = NDArrayFactory::create<double>(1.0);
//auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
//matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
//z->printShapeInfo("SS OS shape");
ASSERT_TRUE(z->isEmpty());
//ASSERT_EQ(exp, *z);
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_4) {
auto matrix = NDArrayFactory::create<double>('c', {1}, {10});
auto b = NDArrayFactory::create<double>('c', {1}, {0.});
auto e = NDArrayFactory::create<double>('c', {1}, {0.});
auto s = NDArrayFactory::create<double>('c', {1}, {1.0});
auto exp = NDArrayFactory::create<double>(10);
//matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(z->equalsTo(exp));
//ASSERT_EQ(exp, *z);
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_04) {
int z = 0;
auto matrix = NDArrayFactory::create<double>('c', {1}, {10});
auto b = NDArrayFactory::create_<int>('c', {1}, {1});
auto e = NDArrayFactory::create_<int>('c', {1}, {z});
auto s = NDArrayFactory::create_<int>('c', {1}, {1});
nd4j::ops::ones_as opOnes;
//auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
auto onesRes = opOnes.evaluate({&matrix});
//matrix.linspace(1);
ASSERT_EQ(onesRes->status(), Status::OK());
auto ones = onesRes->at(0);
*ones *= 10;
auto onesD = new NDArray(ones->dup());
auto variableSpace = new VariableSpace();
variableSpace->putVariable(-1, onesD);
variableSpace->putVariable(-2, b);
variableSpace->putVariable(-3, e);
variableSpace->putVariable(-4, s);
auto block = new Context(1, variableSpace, false); // not-in-place
block->fillInputs({-1});
block->fillInputs({-2});
block->fillInputs({-3});
block->fillInputs({-4});
block->getIArguments()->push_back(0);
block->getIArguments()->push_back(0);
block->getIArguments()->push_back(1);
block->getIArguments()->push_back(0);
block->getIArguments()->push_back(0);
auto inputShapes = new ShapeList({ones->getShapeInfo(), b->getShapeInfo(), e->getShapeInfo(), s->getShapeInfo()});
nd4j::ops::strided_slice op;
auto result = op.calculateOutputShape(inputShapes, *block); //execute({ones, &b, &e, &s}, {}, {0, 1, 0, 0, 0});
ASSERT_EQ(result->size(), 1);
ASSERT_TRUE(shape::isEmpty(result->at(0)));
//ASSERT_EQ(exp, *z);
delete block;
delete onesRes;
delete result;
delete variableSpace;
delete inputShapes;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_5) {
auto matrix = NDArrayFactory::create<double>('c', {3, 2, 2});
auto b = NDArrayFactory::create<int>('c', {1}, {2});
auto e = NDArrayFactory::create<int>('c', {1}, {3});
auto s = NDArrayFactory::create<int>('c', {1}, {1});
auto exp = NDArrayFactory::create<double>('c', {2,2}, {0.0f, 0.0f, 0., 0.});
//matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_6) {
auto matrix = NDArrayFactory::create<double>('c', {3, 2, 2});
auto b = NDArrayFactory::create<int>('c', {1}, {2});
auto e = NDArrayFactory::create<int>('c', {1}, {3});
auto s = NDArrayFactory::create<int>('c', {1}, {1});
auto exp = NDArrayFactory::create<double>('c', {1,2,2}, {0.0f, 0.0f, 0., 0.});
//matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 2});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_7) {
int zero = 0;
auto matrix = NDArrayFactory::create<double>('c', {5, 4});
auto b = NDArrayFactory::create<int>('c', {1}, {zero});
auto e = NDArrayFactory::create<int>('c', {1}, {zero});
auto s = NDArrayFactory::create<int>('c', {1}, {1});
//auto exp = NDArrayFactory::create<double>('c', {1,2,2}, {0.0f, 0.0f, 0., 0.});
//matrix.linspace(1);
nd4j::ops::strided_slice op;
auto result = op.evaluate({&matrix, &b, &e, &s}, {}, {1, 0, 0, 0, 0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
//ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_BP_1) {
int zero = 0;
auto matrix = NDArrayFactory::create<double>('c', {5, 4});
// auto b = NDArrayFactory::create<int>('c', {1}, {zero});
// auto e = NDArrayFactory::create<int>('c', {1}, {zero});
// auto s = NDArrayFactory::create<int>('c', {1}, {1});
auto grad = NDArrayFactory::create<double>('c', {5});
matrix.linspace(1);
grad.linspace(1);
nd4j::ops::strided_slice_bp op;
auto result = op.evaluate({&matrix, &grad}, {}, {1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
//ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_BP_2) {
int zero = 0;
auto matrix = NDArrayFactory::create<double>('c', {1, 2});
// auto b = NDArrayFactory::create<int>('c', {1}, {zero});
// auto e = NDArrayFactory::create<int>('c', {1}, {zero});
// auto s = NDArrayFactory::create<int>('c', {1}, {1});
auto grad = NDArrayFactory::create<double>('c', {1}, {1.});
matrix.linspace(1);
//grad.linspace(1);
nd4j::ops::strided_slice_bp op;
auto result = op.evaluate({&matrix, &grad}, {}, {1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
//ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_StridedSlice_BP_3) {
int zero = 0;
auto matrix = NDArrayFactory::create<float>('c', {4, 8192});
// auto b = NDArrayFactory::create<int>('c', {1}, {zero});
// auto e = NDArrayFactory::create<int>('c', {1}, {zero});
// auto s = NDArrayFactory::create<int>('c', {1}, {1});
auto grad = NDArrayFactory::create<double>('c', {4, 256});
matrix.linspace(1);
grad.linspace(1);
nd4j::ops::strided_slice_bp op;
auto result = op.evaluate({&matrix, &grad}, {}, {1, 0, 1, 0, 0, 0, 0, 0, 256, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
//ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_Simple_Scalar_1) {
auto x = NDArrayFactory::create<double>('c', {1, 1}, {2.0f});
auto exp = NDArrayFactory::create<double>('c', {1, 1}, {4.0f});
nd4j::ops::test_scalar op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_Order_1) {
auto x = NDArrayFactory::create<double>('f', {2, 3});
auto exp = NDArrayFactory::create<double>('c', {2, 3});
x.linspace(1);
exp.linspace(1);
nd4j::ops::order op;
auto result = op.evaluate({&x}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
ASSERT_NE(x.ordering(), z->ordering());
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_1) {
auto x = NDArrayFactory::create<float>('c', {1, 4}, {1.f, 2.f, 3.f, 4.f});
auto exp = NDArrayFactory::create<float>('c', {1, 4}, {1.f, 3.f, 6.f, 10.f});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 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(DeclarableOpsTests6, cumSum_2) {
auto x= NDArrayFactory::create<float>('c', {2, 4}, {1.f, 2.f, 3.f, 4.f, 1.f, 2.f, 3.f, 4.f});
auto exp= NDArrayFactory::create<float>('c', {2, 4}, {1.f, 3.f, 6.f, 10.f, 1.f, 3.f, 6.f, 10.f});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 0, 1});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printIndexedBuffer("CumSum1");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_3) {
auto x= NDArrayFactory::create<float>('c', {2, 4}, {1.f, 2.f, 3.f, 4.f, 1.f, 2.f, 3.f, 4.f});
auto exp= NDArrayFactory::create<float>('c', {2, 4}, {1.f, 2.f, 3.f, 4.f, 2.f, 4.f, 6.f, 8.f});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 0, 0});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_4) {
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {12., 15., 18., 11., 13., 15., 7., 8., 9.});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 1, 0}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
// z->printBuffer();
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_5) {
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {6.f, 5.f, 3.f, 15.f, 11.f, 6.f, 24.f, 17.f, 9.f,});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 1, 1}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_6) {
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {11.f, 13.f, 15.f, 7.f, 8.f, 9.f, 0.f, 0.f, 0.f});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {1, 1, 0}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_7) {
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {5.f, 3.f, 0.f, 11.f, 6.f, 0.f, 17.f, 9.f, 0.f});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {1, 1, 1}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, cumSum_8) {
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
auto axis = NDArrayFactory::create<Nd4jLong>('c', {1}, {1});
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {5.f, 3.f, 0.f, 11.f, 6.f, 0.f, 17.f, 9.f, 0.f});
nd4j::ops::cumsum op;
auto result = op.evaluate({&x, &axis}, {}, {1, 1}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_9) {
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., 3., 6., 10., 15., 6., 13., 21., 30., 40., 11., 23., 36., 50., 65.});
auto expTF = NDArrayFactory::create<double>('c', {3, 5}, {0., 1., 3., 6., 10., 0., 6., 13., 21., 30., 0., 11., 23., 36., 50.});
auto expFT = NDArrayFactory::create<double>('c', {3, 5}, {15, 14, 12, 9, 5,40, 34, 27, 19, 10,65, 54, 42, 29, 15}); //+++
auto expTT = NDArrayFactory::create<double>('c', {3, 5}, {14, 12, 9, 5, 0,34, 27, 19, 10, 0,54, 42, 29, 15, 0});
int exclusive, reverse;
//************************************//
exclusive = 0; reverse = 0;
nd4j::ops::cumsum op;
auto result = op.evaluate({&inputC, &axis}, {}, {exclusive, reverse}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(expFF.equalsTo(z));
delete result;
//************************************//
exclusive = 1; reverse = 0;
result = op.evaluate({&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.evaluate({&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.evaluate({&inputC, &axis}, {}, {exclusive, reverse});
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTT.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_10) {
auto x = NDArrayFactory::create<double>('c', {4, 16, 16, 1});
auto y = NDArrayFactory::create<int>(-3);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x, &y}, {}, {1, 1});
ASSERT_EQ(Status::OK(), result->status());
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_11) {
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {12., 15., 18.,11., 13., 15.,7., 8., 9., 39., 42., 45.,29., 31., 33.,16., 17., 18., 66., 69., 72.,47., 49., 51.,25., 26., 27.});
x.linspace(1);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_12) {
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {1., 2., 3.,5., 7., 9.,12., 15., 18., 10., 11., 12.,23., 25., 27.,39., 42., 45., 19., 20., 21.,41., 43., 45., 66., 69., 72.});
x.linspace(1);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_13) {
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {11., 13., 15.,7., 8., 9.,0., 0., 0., 29., 31., 33.,16., 17., 18.,0., 0., 0., 47., 49., 51.,25., 26., 27.,0., 0., 0.});
x.linspace(1);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {1, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_14) {
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {29., 31., 33.,35., 37., 39.,41., 43., 45., 19., 20., 21.,22., 23., 24.,25., 26., 27., 0., 0., 0.,0., 0., 0.,0., 0., 0.});
x.linspace(1);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {1, 1, 0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_15) {
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {6., 5., 3.,15., 11., 6.,24., 17., 9., 33., 23., 12.,42., 29., 15.,51., 35., 18., 60., 41., 21.,69., 47., 24.,78., 53., 27.});
x.linspace(1);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 1, 2});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_16) {
NDArray x('f', {3, 4}, nd4j::DataType::FLOAT32);
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
// z->printShapeInfo();
// x.printShapeInfo();
ASSERT_TRUE(z->ews() == 1);
ASSERT_TRUE(x.ews() == 1);
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_17) {
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray x0 = x(0, {0});
NDArray x1 = x(1, {0});
x0.linspace(1);
x1.linspace(1);
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray exp0 = exp(0, {0});
NDArray exp1 = exp(1, {0});
exp0.p(0, 1.);
exp1.p(0, 1.);
for (int i = 1; i < 1500; ++i) {
const auto prev = exp0.e<float>(i-1);
exp0.p(i, prev + i + 1);
exp1.p(i, prev + i + 1);
}
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_18) {
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray x0 = x(0, {0});
NDArray x1 = x(1, {0});
x0.linspace(1);
x1.linspace(1);
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray exp0 = exp(0, {0});
NDArray exp1 = exp(1, {0});
exp0.p(0, 0.);
exp1.p(0, 0.);
for (int i = 1; i < 1500; ++i) {
const auto prev = exp0.e<float>(i-1);
exp0.p(i, prev + i);
exp1.p(i, prev + i);
}
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {1, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_19) {
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray x0 = x(0, {0});
NDArray x1 = x(1, {0});
x0.linspace(1);
x1.linspace(1);
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray exp0 = exp(0, {0});
NDArray exp1 = exp(1, {0});
exp0.p(1499, 1500.f);
exp1.p(1499, 1500.f);
for (int i = 1498; i >= 0; --i) {
const auto prev = exp0.e<float>(i + 1);
exp0.p(i, prev + i + 1);
exp1.p(i, prev + i + 1);
}
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {0, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
// exp0.printBuffer();
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, cumSum_20) {
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray x0 = x(0, {0});
NDArray x1 = x(1, {0});
x0.linspace(1);
x1.linspace(1);
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
NDArray exp0 = exp(0, {0});
NDArray exp1 = exp(1, {0});
exp0.p(1499, 0.);
exp1.p(1499, 0.);
for (int i = 1498; i >= 0; --i) {
const auto prev = exp0.e<float>(i + 1);
exp0.p(i, prev + i + 2);
exp1.p(i, prev + i + 2);
}
nd4j::ops::cumsum op;
auto result = op.evaluate({&x}, {}, {1, 1, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, TestMergeMaxIndex_1) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto y = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto z = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 20.f, 3.f, 40.f, 5.f, 60.f, 7.f, 80.f});
auto exp = NDArrayFactory::create<int>('c', {2, 2, 2}, {1, 2, 1, 2, 1, 2, 1, 2});
nd4j::ops::mergemaxindex op;
auto ress = op.evaluate({&x, &y, &z}, {}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
// ress->at(0)->printIndexedBuffer("MergeMaxIndex Result is ");
// ress->at(0)->printShapeInfo("Shape info for MergeMaxIdex");
// x.printIndexedBuffer("Input is");
ASSERT_TRUE(ress->at(0)->equalsTo(exp));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, TestMergeMaxIndex_2) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto y = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto z = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 20.f, 3.f, 40.f, 5.f, 60.f, 7.f, 80.f});
auto exp = NDArrayFactory::create<Nd4jLong>('c', {2, 2, 2}, {1, 2, 1, 2, 1, 2, 1, 2});
nd4j::ops::mergemaxindex op;
auto ress = op.evaluate({&x, &y, &z}, {}, {nd4j::DataType::INT64});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
// ress->at(0)->printIndexedBuffer("MergeMaxIndex2 Result is ");
// ress->at(0)->printShapeInfo("Shape info for MergeMaxIdex2");
// x.printIndexedBuffer("Input is");
ASSERT_TRUE(ress->at(0)->equalsTo(exp));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, TestDropout_1) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto shape = NDArrayFactory::create<Nd4jLong>({2, 2});
nd4j::ops::dropout op;
auto ress = op.evaluate({&x, &shape}, {0.2f}, {113});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
//ress->at(0)->printIndexedBuffer("Result is ");
//x.printIndexedBuffer("Input is");
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, TestMod_1) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto y = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto exp = NDArrayFactory::create<double>('c', {2, 2, 2}, {1, 0, 3, 0, 5, 0, 7, 0});
nd4j::ops::mod op;
auto ress = op.evaluate({&x, &y});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
// ress->at(0)->printIndexedBuffer("MOD Result is ");
// x.printIndexedBuffer("Input is");
ASSERT_TRUE(ress->at(0)->equalsTo(exp));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, TestMod_BP_1) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto y = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto eps = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto exp = NDArrayFactory::create<double>('c', {2, 2, 2});
nd4j::ops::mod_bp op;
auto ress = op.evaluate({&x, &y, &eps});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
// ress->at(0)->printIndexedBuffer("MOD_BP Result is ");
// x.printIndexedBuffer("Input is");
ASSERT_TRUE(ress->at(0)->equalsTo(exp));
delete ress;
}
///////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, TestRank_1) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto y = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto eps = NDArrayFactory::create<double>('c', {2, 2, 2}, {10.f, 2.f, 30.f, 4.f, 50.f, 6.f, 70.f, 8.f});
auto exp = NDArrayFactory::create<int>(3);
nd4j::ops::rank op;
auto ress = op.evaluate({&x});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
ASSERT_TRUE(ress->at(0)->equalsTo(exp));
delete ress;
}
TEST_F(DeclarableOpsTests6, TestDropout_2) {
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f});
nd4j::ops::dropout op;
auto ress = op.evaluate({&x}, {0.4f}, {113});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
delete ress;
}
TEST_F(DeclarableOpsTests6, TestDropout_3) {
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
auto shape = NDArrayFactory::create<int>({1, 2});
nd4j::ops::dropout op;
auto ress = op.evaluate({&x, &shape}, {0.4f}, {113});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MaxPoolWithArgmax_1) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2, 4}, {5.5, 0., 0.3, 5.5,1.5, 0., 1.3, 6.5,8.6, 0., 0., 0.4,2.5, 1., 0.3, 4.5,
1.5, 1., 1.3, 1.5, 3.5, 0., 1.3, 2.5, 2.6, 2., 3., 1.4, 4.5, 1., 0.3, 0.5});
auto expI = NDArrayFactory::create<Nd4jLong>('c', {2, 2, 2, 4}, {0, 1, 2, 3,4, 5, 6, 7,8, 9, 10, 11,12, 13, 14, 15,
0, 1, 2, 3,4, 5, 6, 7,8, 9, 10, 11,12, 13, 14, 15});
nd4j::ops::max_pool_with_argmax op;
auto ress = op.evaluate({&x}, {}, {1,1,1,1,1,1,1,1,1});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
ASSERT_TRUE(expI.isSameShape(ress->at(0)));
ASSERT_TRUE(expI.isSameShape(ress->at(1)));
ASSERT_TRUE(x.equalsTo(ress->at(0)));
ASSERT_TRUE(expI.equalsTo(ress->at(1)));
//x.printIndexedBuffer("Input is");
ASSERT_TRUE(expI.equalsTo(ress->at(1)));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, SufficientStatistics_1) {
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
auto x = NDArrayFactory::create<double>('c', {2, 2, 2, 4}, {5.5, 0., 0.3, 5.5,1.5, 0., 1.3, 6.5,8.6, 0., 0., 0.4,2.5, 1., 0.3, 4.5,1.5, 1.,
1.3, 1.5,3.5, 0., 1.3, 2.5,2.6, 2., 3., 1.4,4.5, 1., 0.3, 0.5});
// ------------------------------------
double count = 8.0;
auto sumExp = NDArrayFactory::create<double>({30.2, 5., 7.8, 22.8});
auto sqrExp = NDArrayFactory::create<double>({154.22, 7., 14.34, 103.62});
auto axis = NDArrayFactory::create<Nd4jLong>({0, 1, 2});
nd4j::ops::sufficient_statistics op;
auto ress = op.evaluate({&x, &axis});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
ASSERT_EQ(ress->at(0)->e<double>(0), count);
ASSERT_TRUE(sumExp.equalsTo(ress->at(1)));
ASSERT_TRUE(sqrExp.equalsTo(ress->at(2)));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, SufficientStatistics_2) {
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
auto x = NDArrayFactory::create<double>('c', {2, 2, 2, 4}, {5.5, 0., 0.3, 5.5,1.5, 0., 1.3, 6.5,8.6, 0., 0., 0.4,2.5, 1., 0.3, 4.5,
1.5, 1., 1.3, 1.5,3.5, 0., 1.3, 2.5,2.6, 2., 3., 1.4,4.5, 1., 0.3, 0.5});
// ------------------------------------
double count = 4.0;
auto sumExp = NDArrayFactory::create<double>('c', {2, 4}, {
18.2, 3., 4.6, 8.8,
12., 2., 3.2, 14.}
);
auto sqrExp = NDArrayFactory::create<double>('c', {2, 4}, {
113.22, 5., 10.78, 34.62,
41., 2., 3.56, 69.}
);
auto axis = NDArrayFactory::create<int>({0, 1});
nd4j::ops::sufficient_statistics op;
auto ress = op.evaluate({&x, &axis});
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
ASSERT_EQ(ress->at(0)->e<double>(0), count);
ASSERT_TRUE(sumExp.equalsTo(ress->at(1)));
ASSERT_TRUE(sqrExp.equalsTo(ress->at(2)));
delete ress;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BinCount_1) {
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
1, 2, 0, 1, 2, 2, 1, 2}
);
// ------------------------------------
NDArray exp('c', {3}, {1, 3, 4}, nd4j::DataType::INT32);
nd4j::ops::bincount op;
auto res = op.evaluate({&x});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BinCount_2) {
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
1, 2, 0, 1, 2, 2, 1, 2}
);
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
2, 1, 3, 1, 5, 1, 1, 6}
);
// ------------------------------------
auto exp = NDArrayFactory::create<double>({3., 4., 13.});
nd4j::ops::bincount op;
auto res = op.evaluate({&x, &weights});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BinCount_3) {
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
1, 2, 0, 1, 2, 2, 1, 2}
);
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
2, 1, 3, 1, 5, 1, 1, 6}
);
// ------------------------------------
auto exp = NDArrayFactory::create<double>({3., 4.});
nd4j::ops::bincount op;
auto res = op.evaluate({&x, &weights}, {}, {0, 2});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BinCount_4) {
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
1, 2, 0, 1, 2, 2, 1, 2}
);
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
2, 1, 3, 1, 5, 1, 1, 6}
);
// ------------------------------------
auto exp = NDArrayFactory::create<double>({3., 4., 13., 0.0});
nd4j::ops::bincount op;
auto res = op.evaluate({&x, &weights}, {}, {4, 4});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BinCount_5) {
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
1, 2, 0, 1, 2, 2, 1, 2}
);
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
2, 1, 3, 1, 5, 1, 1, 6}
);
auto minV = NDArrayFactory::create(4);
auto maxV = NDArrayFactory::create(4);
// ------------------------------------
auto exp = NDArrayFactory::create<double>({3., 4., 13., 0.0});
nd4j::ops::bincount op;
auto res = op.evaluate({&x, &weights, &minV, &maxV});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
// res->at(0)->printBuffer("BC out");
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_1) {
auto x = NDArrayFactory::create<int>( {2, 2, 2} );
auto y = NDArrayFactory::create<int>({ 2, 1, 2});
auto exp = NDArrayFactory::create<int>({2, 2, 2});
nd4j::ops::broadcast_dynamic_shape op;
auto res = op.evaluate({&x, &y});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_2) {
auto x = NDArrayFactory::create<Nd4jLong>( {2, 2} );
auto y = NDArrayFactory::create<Nd4jLong>({2, 1, 2});
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 2});
nd4j::ops::broadcast_dynamic_shape op;
auto res = op.evaluate({&x, &y});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_3) {
auto x = NDArrayFactory::create<int>( {2, 2, 2} );
auto y = NDArrayFactory::create<int>({2, 1});
auto exp = NDArrayFactory::create<int>({2, 2, 2});
nd4j::ops::broadcast_dynamic_shape op;
auto res = op.evaluate({&x, &y}, {}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_4) {
auto x = NDArrayFactory::create<Nd4jLong>( {2, 1} );
auto y = NDArrayFactory::create<Nd4jLong>('c', {1}, {4});
auto exp = NDArrayFactory::create<Nd4jLong>({2, 4});
nd4j::ops::broadcast_dynamic_shape op;
auto res = op.evaluate({&x, &y});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
//res->at(0)->printBuffer("Shape SGO 4");
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_6) {
auto x = NDArrayFactory::create<Nd4jLong>({2, 1, 4});
auto y = NDArrayFactory::create<Nd4jLong>({2, 2, 4});
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 4});
nd4j::ops::broadcast_dynamic_shape op;
auto res = op.evaluate({&x, &y});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_7) {
auto x = NDArrayFactory::create<Nd4jLong>({1, 1, 3});
auto y = NDArrayFactory::create<Nd4jLong>({2, 4, 1});
auto exp = NDArrayFactory::create<Nd4jLong>({2, 4, 3});
nd4j::ops::broadcast_dynamic_shape op;
auto res = op.evaluate({&x, &y});
ASSERT_EQ(ND4J_STATUS_OK, res->status());
ASSERT_TRUE(exp.equalsTo(res->at(0)));
delete res;
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_8) {
auto x = NDArrayFactory::create<int>('c', {1}, {1});
auto y = NDArrayFactory::create<int>('c', {1}, {4});
auto z = NDArrayFactory::create<int>('c', {1});
auto exp = NDArrayFactory::create<int>('c', {1}, {4});
nd4j::ops::broadcast_dynamic_shape op;
auto status = op.execute({&x, &y}, {&z}, {}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, status);
ASSERT_TRUE(exp.equalsTo(z));
}
/////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_9) {
auto x = NDArrayFactory::create<int>('c', {2}, {2,2});
auto y = NDArrayFactory::create<int>('c', {1}, {1});
auto z = NDArrayFactory::create<Nd4jLong>('c', {2});
auto exp = NDArrayFactory::create<Nd4jLong>('c', {2}, {2,2});
nd4j::ops::broadcast_dynamic_shape op;
auto status = op.execute({&x, &y}, {&z}, {}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, status);
// ASSERT_TRUE(exp.equalsTo(z));
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, ClipByGlobalNorm_1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0}
);
auto exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {
-0.2771281, 0., 0.,
0.36950415, 0., 0.,
-0.2771281, 0., 0.,
0.36950415, 0., 0.,
-0.2771281, 0., 0.,
0.36950415, 0., 0.}
);
// 8.660254
// auto expNorm(8.660254);
nd4j::ops::clip_by_global_norm op;
auto result = op.evaluate({&x}, {0.8}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
auto norm = result->at(1);
//z->printIndexedBuffer("Output");
//exp.printIndexedBuffer("Expected");
//norm->printIndexedBuffer("Norm");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
// ASSERT_TRUE(expNorm.equalsTo(norm));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, ClipByGlobalNorm_2) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0}
);
auto a = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0}
);
auto exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {
-0.44090813, 0., 0.,
0.5878775, 0., 0.,
-0.44090813, 0., 0.,
0.5878775, 0., 0.,
-0.44090813, 0., 0.,
0.5878775, 0., 0.}
//12.247449
);
nd4j::ops::clip_by_global_norm op;
auto result = op.evaluate({&x, &a}, {1.8}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
auto y = result->at(1);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.isSameShape(y));
ASSERT_TRUE(exp.equalsTo(z));
ASSERT_TRUE(exp.equalsTo(y));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, ClipByGlobalNorm_3) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0});
auto a = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0});
auto exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {
-0.19595918, 0., 0.,
0.2612789, 0., 0.,
-0.19595918, 0., 0.,
0.2612789, 0., 0.,
-0.19595918, 0., 0.,
0.2612789, 0., 0.}
);
nd4j::ops::clip_by_global_norm op;
auto result = op.evaluate({&x, &a}, {0.8}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
auto y = result->at(1);
//z->printIndexedBuffer("Output 1");
//y->printIndexedBuffer("Output 2");
//result->at(2)->printIndexedBuffer("Global norm is");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.isSameShape(y));
ASSERT_TRUE(result->at(2)->isScalar());
ASSERT_TRUE(exp.equalsTo(z));
ASSERT_TRUE(exp.equalsTo(y));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixDeterminant_1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 0.0, -3.0, 4.0, 0.0, 0.0, 0.0, -3.0, 0.0, 0.0, 0.0, 4.0});
auto exp = NDArrayFactory::create<double>({36.0, -48.0});
nd4j::ops::matrix_determinant op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
//z->printIndexedBuffer("Output ");
//exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixDeterminant_2) {
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.0, 2.0, 3.0, 4.0, 1.0, 2.0, 3.0, 4.0});
auto exp = NDArrayFactory::create<double>({-2.0, -2.0});
nd4j::ops::matrix_determinant op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
//z->printIndexedBuffer("Output ");
//exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixDeterminant_3) {
auto x = NDArrayFactory::create<double>('c', {1, 3, 3}, {3.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 3.0});
NDArray exp('c', {1}, std::vector<double>{-54.0});
nd4j::ops::matrix_determinant op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
//z->printIndexedBuffer("Output ");
//exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixDeterminant_4) {
auto x = NDArrayFactory::create<double>('c', {1, 3, 3}, {12.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 13.0});
auto exp = NDArrayFactory::create<double>('c', {1}, {189.0});
nd4j::ops::matrix_determinant op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printIndexedBuffer("Output ");
// exp.printIndexedBuffer("Expected ");
// z->printShapeInfo("Output shape");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixDeterminant_5) {
auto x = NDArrayFactory::create<double>('c', {1, 4, 4});
NDArray exp('c', {1}, std::vector<double>{-16.0});
x.linspace(1);
x.p(5, 4.0);
x.p(12, 12.0);
nd4j::ops::matrix_determinant op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
//z->printIndexedBuffer("Output ");
//exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixDeterminant_6) {
auto x = NDArrayFactory::create<double>('c', {4, 4});
auto exp = NDArrayFactory::create<double>(-16.0);
x.linspace(1);
x.p(5, 4.0);
x.p(12, 12.0);
nd4j::ops::matrix_determinant op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
//z->printIndexedBuffer("Output ");
//z->printShapeInfo("Shape");
//exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(z->isScalar());
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, LogMatrixDeterminant_1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 0.0, -3.0, 4.0, 0.0, 0.0, 0.0, -3.0, 0.0, 0.0, 0.0, 4.0});
auto exp = NDArrayFactory::create<double>({3.58351893845611, 3.871201010907891});
nd4j::ops::log_matrix_determinant op;
auto result = op.evaluate({&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(DeclarableOpsTests6, LogDet_1) {
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {4,12,-16,12,37,-43,-16,-43,98, 4,1.2,-1.6,1.2,3.7,-4.3,-1.6,-4.3,9.8});
auto exp = NDArrayFactory::create<double>({ 3.5835189, 4.159008});
nd4j::ops::logdet op;
auto result = op.evaluate({&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(DeclarableOpsTests6, LogDet_2) {
auto x = NDArrayFactory::create<double>('c', {1, 3, 3}, {4,12,-16,12,37,-43,-16,-43,98});
auto exp = NDArrayFactory::create<double>('c', {1}, { 3.5835189});
nd4j::ops::logdet op;
auto result = op.evaluate({&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(DeclarableOpsTests6, LogDet_3) {
auto x = NDArrayFactory::create<double>('c', {3, 3}, {4,12,-16,12,37,-43,-16,-43,98});
auto exp = NDArrayFactory::create<double>( 3.5835189);
nd4j::ops::logdet op;
auto result = op.evaluate({&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(DeclarableOpsTests6, MatrixInverse_1) {
auto x = NDArrayFactory::create<float>('c', {2, 5, 5}, {
2.f, 4.f, 60.f, 8.f, 10.f,
0.f, 1.f, 2.f, 3.f, 4.f,
0.f, 0.f, 2.f, 4.f, 6.f,
0.f, 0.f, 0.f, 1.f, 2.f,
0.f, 0.f, 0.f, 0.f, 4.f,
1.f, 0.f, 0.f, 0.f, 0.f,
2.f, 1.f, 0.f, 0.f, 0.f,
30.f, 2.f, 1.f, 0.f, 0.f,
4.f, 3.f, 2.f, 1.f, 0.f,
5.f, 4.f, 3.f, 2.f, 1.f
});
auto exp = NDArrayFactory::create<float>('c', {2, 5, 5}, {
0.5f, -2.0f, -13.0f, 54.0f, -6.75f,
0.0f, 1.0f, -1.0f, 1.0f, 0.0f,
0.f, 0.f, 0.5f, -2.0f, 0.25f,
0.f, 0.f, 0.f, 1.0f, -0.5f,
0.f, 0.f, 0.f, 0.f, 0.25f,
1.0f, 0.0f, 0.0f, 0.0f, 0.f,
-2.0f, 1.0f, 0.f, 0.f, 0.f,
-26.0f, -2.0f, 1.f, 0.f, 0.f,
54.0f, 1.0f, -2.0f, 1.f, 0.f,
-27.0f, 0.0f, 1.0f, -2.0f, 1.f,
});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&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(DeclarableOpsTests6, MatrixInverse_010) {
auto x = NDArrayFactory::create<float>('c', {1, 5, 5}, {1.f, 0.f, 0.f, 0.f, 0.f, 2.f, 1.f, 0.f, 0.f, 0.f, 30.f, 2.f, 1.f, 0.f, 0.f, 4.f, 3.f, 2.f, 1.f, 0.f, 5.f, 4.f, 3.f, 2.f, 1.f, });
auto exp = NDArrayFactory::create<float>('c', {1, 5, 5}, {1.0f, 0.0f, 0.0f, 0.0f, 0.f, -2.0f, 1.0f, 0.f, 0.f, 0.f, -26.0f, -2.0f, 1.f, 0.f, 0.f, 54.0f, 1.0f, -2.0f, 1.f, 0.f, -27.0f, 0.0f, 1.0f, -2.0f, 1.f});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&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(DeclarableOpsTests6, MatrixInverse_01) {
auto x = NDArrayFactory::create<float>('c', {1, 5, 5}, {2.f, 4.f, 60.f, 8.f, 10.f, 0.f, 1.f, 2.f, 3.f, 4.f, 0.f, 0.f, 2.f, 4.f, 6.f, 0.f, 0.f, 0.f, 1.f, 2.f, 0.f, 0.f, 0.f, 0.f, 4.f });
auto exp = NDArrayFactory::create<float>('c', {1, 5, 5}, {0.5f, -2.0f, -13.0f, 54.0f, -6.75f, 0.0f, 1.0f, -1.0f, 1.0f, 0.0f, 0.f, 0.f, 0.5f, -2.0f, 0.25f, 0.f, 0.f, 0.f, 1.0f, -0.5f, 0.f, 0.f, 0.f, 0.f, 0.25f });
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&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(DeclarableOpsTests6, MatrixInverse_02) {
auto x = NDArrayFactory::create<float>('c', {1, 5, 5}, {1.f, 0.f, 0.f, 0.f, 0.f, 2.f, 1.f, 0.f, 0.f, 0.f, 30.f, 2.f, 1.f, 0.f, 0.f, 4.f, 3.f, 2.f, 1.f, 0.f, 5.f, 4.f, 3.f, 2.f, 1.f });
auto exp = NDArrayFactory::create<float>('c', {1, 5, 5}, {1.0f, 0.0f, 0.0f, 0.0f, 0.f, -2.0f, 1.0f, 0.f, 0.f, 0.f, -26.0f, -2.0f, 1.f, 0.f, 0.f, 54.0f, 1.0f, -2.0f, 1.f, 0.f, -27.0f, 0.0f, 1.0f, -2.0f, 1.f });
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&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(DeclarableOpsTests6, MatrixInverse_2) {
auto x = NDArrayFactory::create<double>('c', {2, 5, 5}, {
1., 2., 30., 4., 5.,
0., 1., 2., 3., 4.,
0., 0., 1., 2., 3.,
0., 0., 0., 1., 2.,
0., 0., 0., 0., 1.,
4., 0., 0., 0., 0.,
4., 2., 0., 0., 0.,
30., 2., 1., 0., 0.,
8., 6., 4., 2., 0.,
15., 12., 9., 6., 3.,
});
auto exp = NDArrayFactory::create<double>('c', {2, 5, 5}, {
1.0, -2.0, -26.0, 54.0, -27.0,
0.0, 1.0, -2.0, 1.0, 0.0,
0.0, 0.0, 1.0, -2.0, 1.0,
0.0, 0.0, 0.0, 1.0, -2.0,
0.0, 0.0, 0.0, 0.0, 1.0,
0.25, 0.0, 0.0, 0.0, 0.0,
-0.50, 0.5, 0.0, 0.0, 0.0,
-6.50, -1.0, 1.0, 0.0, 0.0,
13.50, 0.5, -2.0, 0.5, 0.0,
-6.75, 0.0, 1.0, -1.0, 0.33333333
});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
z->printIndexedBuffer("Output ");
exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
*/
TEST_F(DeclarableOpsTests6, MatrixInverse_03) {
auto x = NDArrayFactory::create<float>('c', {5, 5}, {
4.f, 0.f, 0.f, 0.f, 0.f,
4.f, 2.f, 0.f, 0.f, 0.f,
30.f, 2.f, 1.f, 0.f, 0.f,
8.f, 6.f, 4.f, 2.f, 0.f,
15.f, 12.f, 9.f, 6.f, 3.f,
});
auto exp = NDArrayFactory::create<float>('c', {5, 5}, {
0.25f, 0.0f, 0.0f, 0.0f, 0.0f,
-0.50f, 0.5f, 0.0f, 0.0f, 0.0f,
-6.50f, -1.0f, 1.0f, 0.0f, 0.0f,
13.50f, 0.5f, -2.0f, 0.5f, 0.0f,
-6.75f, 0.0f, 1.0f, -1.0f, 0.33333333f
});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&x});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printIndexedBuffer("Output ");
// exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixInverse_3) {
auto x = NDArrayFactory::create<float>('c', {5, 5}, {
4.f, 0.f, 0.f, 0.f, 0.f,
4.f, 2.f, 0.f, 0.f, 0.f,
30.f, 2.f, 1.f, 0.f, 0.f,
8.f, 6.f, 4.f, 2.f, 0.f,
15.f, 12.f, 9.f, 6.f, 3.f,
});
auto exp = NDArrayFactory::create<float>('c', {5, 5}, {
0.25f, 0.0f, 0.0f, 0.0f, 0.0f,
-0.50f, 0.5f, 0.0f, 0.0f, 0.0f,
-6.50f, -1.0f, 1.0f, 0.0f, 0.0f,
13.50f, 0.5f, -2.0f, 0.5f, 0.0f,
-6.75f, 0.0f, 1.0f, -1.0f, 0.33333333f
});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&x});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// exp.printIndexedBuffer("Expected ");
// z->printIndexedBuffer("Output ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixInverse_4) {
auto x = NDArrayFactory::create<float>('c', {5, 5}, {
1.f, 2.f, 30.f, 4.f, 5.f,
0.f, 1.f, 2.f, 3.f, 4.f,
0.f, 0.f, 1.f, 2.f, 3.f,
0.f, 0.f, 0.f, 1.f, 2.f,
0.f, 0.f, 0.f, 0.f, 1.f
});
auto exp = NDArrayFactory::create<float>('c', {5, 5}, {
1.0f, -2.0f, -26.0f, 54.0f, -27.0f,
0.0f, 1.0f, -2.0f, 1.0f, 0.0f,
0.0f, 0.0f, 1.0f, -2.0f, 1.0f,
0.0f, 0.0f, 0.0f, 1.0f, -2.0f,
0.0f, 0.0f, 0.0f, 0.0f, 1.0f
});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&x});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printIndexedBuffer("Output ");
// exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, MatrixInverse_04) {
auto x = NDArrayFactory::create<float>('c', {5, 5}, {
1.f, 2.f, 30.f, 4.f, 5.f,
0.f, 1.f, 2.f, 3.f, 4.f,
0.f, 0.f, 1.f, 2.f, 3.f,
0.f, 0.f, 0.f, 1.f, 2.f,
0.f, 0.f, 0.f, 0.f, 1.f
});
auto exp = NDArrayFactory::create<float>('c', {5, 5}, {
1.0f, -2.0f, -26.0f, 54.0f, -27.0f,
0.0f, 1.0f, -2.0f, 1.0f, 0.0f,
0.0f, 0.0f, 1.0f, -2.0f, 1.0f,
0.0f, 0.0f, 0.0f, 1.0f, -2.0f,
0.0f, 0.0f, 0.0f, 0.0f, 1.0f
});
nd4j::ops::matrix_inverse op;
auto result = op.evaluate({&x});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printIndexedBuffer("Output ");
// exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, ReluLayer_1) {
auto x = NDArrayFactory::create<double>('c', {3, 4}, {1.0, -2.0, 3.0, 4.0, 5.0, -6.0, 7.0, 8.0, 9.0, -10.0, 11.0, 12});
auto w = NDArrayFactory::create<double>('c', {4, 3}, {0.5, 0.1, 0.8, 0.5, 0.2, 0.5, 0.5, 0.25, 0.5, 0.1, 0.0, 0.25});
auto b = NDArrayFactory::create<double>({20.0, 30.0, 50.0});
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {
21.4, 30.45, 52.3,
23.8, 31.05, 56.5,
26.2, 31.65, 60.7});
nd4j::ops::relu_layer op;
auto result = op.evaluate({&x, &w, &b});
ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printShapeInfo("Output shape");
// z->printIndexedBuffer("Output ");
// exp.printIndexedBuffer("Expected ");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_Reduce3_Edge) {
auto x = NDArrayFactory::create<double>('c', {3, 4, 5});
auto y = NDArrayFactory::create<double>('c', {3, 4, 5});
std::vector<int> dims = {0, 1};
auto z = x.applyReduce3(reduce3::CosineSimilarity, y, dims);
ASSERT_TRUE(&z != nullptr);
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_rnn_test1) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3});
x.linspace(0.01, 0.01);
h0 = 0.2;
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.69882484, 0.69882484, 0.69882484, 0.69882484, 0.9312333 , 0.9312333 , 0.9312333 , 0.9312333 ,
0.93751527, 0.93751527, 0.93751527, 0.93751527,0.97136768, 0.97136768, 0.97136768, 0.97136768,0., 0., 0., 0. ,
0.97732812, 0.97732812, 0.97732812, 0.97732812,0., 0., 0., 0. ,0., 0., 0., 0.,0., 0., 0., 0.});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97732812, 0.97732812, 0.97732812, 0.97732812, 0.93751527, 0.93751527, 0.93751527, 0.93751527});
nd4j::ops::static_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_rnn_test2) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
x.linspace(0.01, 0.01);
h0 = 0.2;
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.69882484, 0.69882484, 0.69882484, 0.69882484,0.9312333 , 0.9312333 , 0.9312333 , 0.9312333,
0.93751527, 0.93751527, 0.93751527, 0.93751527,0.97136768, 0.97136768, 0.97136768, 0.97136768,0.97338548, 0.97338548, 0.97338548, 0.97338548,
0.97732812, 0.97732812, 0.97732812, 0.97732812,0.97864398, 0.97864398, 0.97864398, 0.97864398,0.98000654, 0.98000654, 0.98000654, 0.98000654,
0.98112648, 0.98112648, 0.98112648, 0.98112648});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.98000654, 0.98000654, 0.98000654, 0.98000654,0.98112648, 0.98112648, 0.98112648, 0.98112648});
nd4j::ops::static_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &h0}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_rnn_test3) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, 0});
x.linspace(0.01, 0.01);
h0 = 0.2;
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0., 0., 0., 0., 0.9312333, 0.9312333, 0.9312333, 0.9312333,
0., 0., 0., 0. , 0.97136768, 0.97136768, 0.97136768, 0.97136768,0., 0., 0., 0. ,
0.97732812, 0.97732812, 0.97732812, 0.97732812,0., 0., 0., 0., 0., 0., 0., 0.,0., 0., 0., 0.});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97732812, 0.97732812, 0.97732812, 0.97732812, 0.2 , 0.2 , 0.2 , 0.2});
nd4j::ops::static_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_rnn_test4) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3});
x.linspace(0.01, 0.01);
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.49676344, 0.49676344, 0.49676344, 0.49676344, 0.87018664, 0.87018664, 0.87018664, 0.87018664,
0.88400882, 0.88400882, 0.88400882, 0.88400882, 0.96529784, 0.96529784, 0.96529784, 0.96529784,0., 0., 0., 0. ,
0.97688859, 0.97688859, 0.97688859, 0.97688859,0., 0., 0., 0., 0., 0., 0., 0.,0., 0., 0., 0.});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97688859, 0.97688859, 0.97688859, 0.97688859, 0.88400882, 0.88400882, 0.88400882, 0.88400882});
nd4j::ops::static_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_rnn_test5) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
x.linspace(0.01, 0.01);
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.49676344, 0.49676344, 0.49676344, 0.49676344, 0.87018664, 0.87018664, 0.87018664, 0.87018664,
0.88400882, 0.88400882, 0.88400882, 0.88400882, 0.96529784, 0.96529784, 0.96529784, 0.96529784,0.96849345, 0.96849345, 0.96849345, 0.96849345,
0.97688859, 0.97688859, 0.97688859, 0.97688859,0.97831069, 0.97831069, 0.97831069, 0.97831069, 0.97997868, 0.97997868, 0.97997868, 0.97997868,
0.98110653, 0.98110653, 0.98110653, 0.98110653});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97997868, 0.97997868, 0.97997868, 0.97997868, 0.98110653, 0.98110653, 0.98110653, 0.98110653});
nd4j::ops::static_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_bidir_rnn_test1) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3, time-4, 0});
x.linspace(0.01, 0.01);
h0FW = 0.2;
h0BW = 0.25;
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW+numUnitsBW}, {0.43819931, 0.43819931, 0.43819931, 0.86708881, 0.86708881,0.86708881,0.47615493, 0.47615493, 0.47615493, 0.78347842, 0.78347842,0.78347842,
0.51241561, 0.51241561, 0.51241561, 0.55529176, 0.55529176,0.55529176,0., 0., 0., 0., 0.,0.,0.73880324, 0.73880324, 0.73880324, 0.90935605, 0.90935605,
0.90935605, 0.77843476, 0.77843476, 0.77843476, 0.64692945, 0.64692945,0.64692945,0., 0., 0., 0., 0.,0.,0., 0., 0., 0., 0.,0.,
0.9052501, 0.9052501, 0.9052501, 0.9181592, 0.9181592, 0.9181592,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,
0.9555734, 0.9555734, 0.9555734, 0.8026439, 0.8026439, 0.8026439,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.});
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.9555734 , 0.9555734 , 0.9555734 , 0.77843476, 0.77843476, 0.77843476, 0.51241561, 0.51241561, 0.51241561, 0.2, 0.2, 0.2});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86708881, 0.86708881, 0.86708881, 0.78347842, 0.78347842, 0.78347842, 0.55529176, 0.55529176, 0.55529176, 0.25, 0.25, 0.25});
nd4j::ops::static_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFWfinal = results->at(1);
auto hBWfinal = results->at(2);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_bidir_rnn_test2) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3, time-4, 0});
x.linspace(0.01, 0.01);
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW+numUnitsBW}, {0.22602835, 0.22602835, 0.22602835, 0.86518273, 0.86518273,0.86518273,0.27105303, 0.27105303, 0.27105303, 0.66617761, 0.66617761,0.66617761,
0.31492203, 0.31492203, 0.31492203, 0.31492203, 0.31492203,0.31492203,0. , 0. , 0. , 0. , 0. ,0. ,
0.60005558, 0.60005558, 0.60005558, 0.9029975 , 0.9029975 ,0.9029975 ,0.66138054, 0.66138054, 0.66138054, 0.43819931, 0.43819931,0.43819931,
0. , 0. , 0. , 0. , 0. ,0. ,0. , 0. , 0. , 0. , 0. ,0. ,
0.87023975, 0.87023975, 0.87023975, 0.88852032, 0.88852032,0.88852032,0. , 0. , 0. , 0. , 0. ,0. ,
0. , 0. , 0. , 0. , 0. ,0. ,0. , 0. , 0. , 0. , 0. ,0. ,
0.95177305, 0.95177305, 0.95177305, 0.66737775, 0.66737775,0.66737775,0. , 0. , 0. , 0. , 0. ,0. ,
0. , 0. , 0. , 0. , 0. ,0. ,0. , 0. , 0. , 0. , 0. ,0. ,
0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.});
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.95177305, 0.95177305, 0.95177305, 0.66138054, 0.66138054, 0.66138054, 0.31492203, 0.31492203, 0.31492203, 0. , 0. , 0.});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86518273, 0.86518273, 0.86518273, 0.66617761, 0.66617761, 0.66617761, 0.31492203, 0.31492203, 0.31492203, 0. , 0. , 0.});
nd4j::ops::static_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFWfinal = results->at(1);
auto hBWfinal = results->at(2);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, static_bidir_rnn_test3) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
x.linspace(0.01, 0.01);
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW+numUnitsBW}, {0.22602835, 0.22602835, 0.22602835, 0.86841012, 0.86841012,0.86841012,0.27105303, 0.27105303, 0.27105303, 0.88207531, 0.88207531,0.88207531,
0.31492203, 0.31492203, 0.31492203, 0.8941667 , 0.8941667 ,0.8941667 ,0.35748551, 0.35748551, 0.35748551, 0.90489713, 0.90489713,
0.90489713, 0.60005558, 0.60005558, 0.60005558, 0.91381375, 0.91381375,0.91381375,0.66138054, 0.66138054, 0.66138054, 0.92253504, 0.92253504,
0.92253504,0.71429879, 0.71429879, 0.71429879, 0.93027876, 0.93027876,0.93027876,0.75947891, 0.75947891, 0.75947891, 0.9371767 , 0.9371767 ,
0.9371767 , 0.87023975, 0.87023975, 0.87023975, 0.94014274, 0.94014274,0.94014274,0.89680574, 0.89680574, 0.89680574, 0.94648926, 0.94648926,
0.94648926,0.91657261, 0.91657261, 0.91657261, 0.95204779, 0.95204779,0.95204779,0.93146896, 0.93146896, 0.93146896, 0.95694206, 0.95694206,
0.95694206, 0.95177305, 0.95177305, 0.95177305, 0.93773086, 0.93773086,0.93773086,0.95874689, 0.95874689, 0.95874689, 0.94579176, 0.94579176,
0.94579176,0.96416067, 0.96416067, 0.96416067, 0.95267886, 0.95267886,0.95267886,0.96851506, 0.96851506, 0.96851506, 0.95857985, 0.95857985,
0.95857985, 0.97269956, 0.97269956, 0.97269956, 0.76075293, 0.76075293,0.76075293,0.97557464, 0.97557464, 0.97557464, 0.78024637, 0.78024637,
0.78024637,0.97806922, 0.97806922, 0.97806922, 0.79833344, 0.79833344,0.79833344,0.98026195, 0.98026195, 0.98026195, 0.81508646, 0.81508646,0.81508646});
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.97269956, 0.97269956, 0.97269956, 0.97557464, 0.97557464, 0.97557464, 0.97806922, 0.97806922, 0.97806922, 0.98026195, 0.98026195, 0.98026195});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86841012, 0.86841012, 0.86841012, 0.88207531, 0.88207531, 0.88207531, 0.8941667 , 0.8941667 , 0.8941667 , 0.90489713, 0.90489713, 0.90489713});
nd4j::ops::static_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFWfinal = results->at(1);
auto hBWfinal = results->at(2);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_rnn_test1) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
auto maxTimeStep = NDArrayFactory::create<Nd4jLong>('c', {bS}, {time-1, time-3});
x.linspace(0.01, 0.01);
h0 = 0.2;
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.69882484, 0.69882484, 0.69882484, 0.69882484,0.9312333 , 0.9312333 , 0.9312333 , 0.9312333 ,
0.93751527, 0.93751527, 0.93751527, 0.93751527,0.97136768, 0.97136768, 0.97136768, 0.97136768,0. , 0. , 0. , 0. ,
0.97732812, 0.97732812, 0.97732812, 0.97732812,0. , 0. , 0. , 0. ,0. , 0. , 0. , 0. ,0. , 0. , 0. , 0. });
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97732812, 0.97732812, 0.97732812, 0.97732812, 0.93751527, 0.93751527, 0.93751527, 0.93751527});
nd4j::ops::dynamic_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_rnn_test2) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time});
x.linspace(0.01, 0.01);
h0 = 0.2;
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.92755601, 0.92755601, 0.92755601, 0.92755601,0.96778334, 0.96778334, 0.96778334,
0.96778334,0.97309129, 0.97309129, 0.97309129, 0.97309129,0. , 0. , 0. , 0. ,
0.75001965, 0.75001965, 0.75001965, 0.75001965,0.95449491, 0.95449491, 0.95449491, 0.95449491,0.97732828, 0.97732828, 0.97732828,
0.97732828,0.98000655, 0.98000655, 0.98000655, 0.98000655,0.98120782, 0.98120782, 0.98120782, 0.98120782});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97309129, 0.97309129, 0.97309129, 0.97309129, 0.98120782, 0.98120782, 0.98120782, 0.98120782});
nd4j::ops::dynamic_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_rnn_test3) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
x.linspace(0.01, 0.01);
h0 = 0.2;
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.92755601, 0.92755601, 0.92755601, 0.92755601,0.96778334, 0.96778334, 0.96778334, 0.96778334,0.97309129,
0.97309129, 0.97309129, 0.97309129,0.97491207, 0.97491207, 0.97491207, 0.97491207,0.75001965, 0.75001965, 0.75001965, 0.75001965,0.95449491, 0.95449491,
0.95449491, 0.95449491,0.97732828, 0.97732828, 0.97732828, 0.97732828,0.98000655, 0.98000655, 0.98000655, 0.98000655,0.98120782, 0.98120782, 0.98120782, 0.98120782});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97491207, 0.97491207, 0.97491207, 0.97491207, 0.98120782, 0.98120782, 0.98120782, 0.98120782});
nd4j::ops::dynamic_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &h0}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_rnn_test4) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-4});
x.linspace(0.01, 0.01);
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.86347567, 0.86347567, 0.86347567, 0.86347567,0.96059545, 0.96059545,
0.96059545, 0.96059545,0.9724738 , 0.9724738 , 0.9724738 , 0.9724738 ,0. , 0. , 0. , 0. ,
0.57368608, 0.57368608, 0.57368608, 0.57368608,0. , 0. , 0 , 0. ,0., 0. , 0, 0.,0., 0., 0. , 0. ,0. , 0. , 0., 0. });
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.9724738 , 0.9724738 , 0.9724738 , 0.9724738 ,0.57368608, 0.57368608, 0.57368608, 0.57368608});
nd4j::ops::dynamic_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_rnn_test5) {
const int bS = 2;
const int inSize = 3;
const int numUnits = 4;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
x.linspace(0.01, 0.01);
Wx = 0.3;
Wh = 0.4;
b = 0.25;
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.86347567, 0.86347567, 0.86347567, 0.86347567,0.96059545, 0.96059545, 0.96059545, 0.96059545,
0.9724738 , 0.9724738 , 0.9724738 , 0.9724738 ,0.97486307, 0.97486307, 0.97486307, 0.97486307,0.57368608, 0.57368608, 0.57368608, 0.57368608,
0.92135149, 0.92135149, 0.92135149, 0.92135149,0.97482354, 0.97482354, 0.97482354, 0.97482354,0.97984727, 0.97984727, 0.97984727, 0.97984727,
0.98119833, 0.98119833, 0.98119833, 0.98119833});
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97486307, 0.97486307, 0.97486307, 0.97486307,0.98119833, 0.98119833, 0.98119833, 0.98119833});
nd4j::ops::dynamic_rnn op;
auto results = op.evaluate({&x, &Wx, &Wh, &b}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto h = results->at(0);
auto hFinal = results->at(1);
ASSERT_TRUE(expH.isSameShape(h));
ASSERT_TRUE(expH.equalsTo(h));
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test1) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time-3, time-4, 0});
x.linspace(0.01, 0.01);
h0FW = 0.2;
h0BW = 0.25;
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expHFW = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW}, {0.43819931, 0.43819931, 0.43819931,0.47615493, 0.47615493, 0.47615493,0.51241561, 0.51241561, 0.51241561,0. , 0. , 0. ,
0.73880324, 0.73880324, 0.73880324,0.77843476, 0.77843476, 0.77843476,0. , 0. , 0. ,0. , 0. , 0. ,
0.9052501 , 0.9052501 , 0.9052501 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0.9555734 , 0.9555734 , 0.9555734 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
auto expHBW = NDArrayFactory::create<double>('c', {time, bS, numUnitsBW}, {0.86708881, 0.86708881, 0.86708881,0.78347842, 0.78347842, 0.78347842,0.55529176, 0.55529176, 0.55529176,0. , 0. , 0. ,
0.90935605, 0.90935605, 0.90935605,0.64692945, 0.64692945, 0.64692945,0. , 0. , 0. ,0. , 0. , 0. ,
0.9181592 , 0.9181592 , 0.9181592 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0.8026439 , 0.8026439 , 0.8026439 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.9555734 , 0.9555734 , 0.9555734 , 0.77843476, 0.77843476, 0.77843476, 0.51241561, 0.51241561, 0.51241561, 0.2 , 0.2 , 0.2});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86708881, 0.86708881, 0.86708881, 0.78347842, 0.78347842, 0.78347842, 0.55529176, 0.55529176, 0.55529176, 0.25 , 0.25 , 0.25});
nd4j::ops::dynamic_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {1});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto hFW = results->at(0);
auto hBW = results->at(1);
auto hFWfinal = results->at(2);
auto hBWfinal = results->at(3);
ASSERT_TRUE(expHFW.isSameShape(hFW));
ASSERT_TRUE(expHFW.equalsTo(hFW));
ASSERT_TRUE(expHBW.isSameShape(hBW));
ASSERT_TRUE(expHBW.equalsTo(hBW));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test2) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time-3, time-4, 0});
x.linspace(0.01, 0.01);
h0FW = 0.2;
h0BW = 0.25;
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.43819931, 0.43819931, 0.43819931,0.66617761, 0.66617761, 0.66617761,0.80944357, 0.80944357, 0.80944357,0.87294706, 0.87294706, 0.87294706,0. , 0. , 0. ,
0.61067683, 0.61067683, 0.61067683,0.84851124, 0.84851124, 0.84851124,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0.73978305, 0.73978305, 0.73978305,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.84345207, 0.84345207, 0.84345207,0.83584708, 0.83584708, 0.83584708,0.77435951, 0.77435951, 0.77435951,0.58760492, 0.58760492, 0.58760492,0. , 0. , 0. ,
0.85615841, 0.85615841, 0.85615841,0.67397984, 0.67397984, 0.67397984,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0.76576202, 0.76576202, 0.76576202,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.87294706, 0.87294706, 0.87294706,0.84851124, 0.84851124, 0.84851124,0.73978305, 0.73978305, 0.73978305,0.2 , 0.2 , 0.2});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.84345207, 0.84345207, 0.84345207, 0.85615841, 0.85615841, 0.85615841, 0.76576202, 0.76576202, 0.76576202, 0.25 , 0.25 , 0.25});
nd4j::ops::dynamic_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto hFW = results->at(0);
auto hBW = results->at(1);
auto hFWfinal = results->at(2);
auto hBWfinal = results->at(3);
ASSERT_TRUE(expHFW.isSameShape(hFW));
ASSERT_TRUE(expHFW.equalsTo(hFW));
ASSERT_TRUE(expHBW.isSameShape(hBW));
ASSERT_TRUE(expHBW.equalsTo(hBW));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test3) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time-3, time-4, 0});
x.linspace(0.01, 0.01);
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.22602835, 0.22602835, 0.22602835,0.49994591, 0.49994591, 0.49994591,0.72869307, 0.72869307, 0.72869307,0.84784327, 0.84784327, 0.84784327,0. , 0. , 0. ,
0.43819931, 0.43819931, 0.43819931,0.7793996 , 0.7793996 , 0.7793996 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0.61067683, 0.61067683, 0.61067683,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.82273707, 0.82273707, 0.82273707,0.77935851, 0.77935851, 0.77935851,0.6381121 , 0.6381121 , 0.6381121 ,0.35748551, 0.35748551, 0.35748551,0. , 0. , 0. ,
0.77843476, 0.77843476, 0.77843476,0.47615493, 0.47615493, 0.47615493,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0.61067683, 0.61067683, 0.61067683,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.84784327, 0.84784327, 0.84784327, 0.7793996 , 0.7793996 , 0.7793996 , 0.61067683, 0.61067683, 0.61067683, 0. , 0. , 0.});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.82273707, 0.82273707, 0.82273707, 0.77843476, 0.77843476, 0.77843476, 0.61067683, 0.61067683, 0.61067683, 0. , 0. , 0.});
nd4j::ops::dynamic_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &maxTimeStep}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto hFW = results->at(0);
auto hBW = results->at(1);
auto hFWfinal = results->at(2);
auto hBWfinal = results->at(3);
ASSERT_TRUE(expHFW.isSameShape(hFW));
ASSERT_TRUE(expHFW.equalsTo(hFW));
ASSERT_TRUE(expHBW.isSameShape(hBW));
ASSERT_TRUE(expHBW.equalsTo(hBW));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
///////////////////////////////////////////////////////////////////
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test4) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
x.linspace(0.01, 0.01);
h0FW = 0.2;
h0BW = 0.25;
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.43819931, 0.43819931, 0.43819931,0.66617761, 0.66617761, 0.66617761,0.80944357, 0.80944357, 0.80944357,0.87294706, 0.87294706, 0.87294706,0.89948899, 0.89948899, 0.89948899,
0.61067683, 0.61067683, 0.61067683,0.84851124, 0.84851124, 0.84851124,0.91925737, 0.91925737, 0.91925737,0.93751395, 0.93751395, 0.93751395,0.94544483, 0.94544483, 0.94544483,
0.73978305, 0.73978305, 0.73978305,0.92827068, 0.92827068, 0.92827068,0.95791111, 0.95791111, 0.95791111,0.96427356, 0.96427356, 0.96427356,0.96797541, 0.96797541, 0.96797541,
0.83057887, 0.83057887, 0.83057887,0.96365083, 0.96365083, 0.96365083,0.97585698, 0.97585698, 0.97585698,0.97866981, 0.97866981, 0.97866981,0.9807326 , 0.9807326 , 0.9807326 });
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.85301722, 0.85301722, 0.85301722,0.86427295, 0.86427295, 0.86427295,0.8599919 , 0.8599919 , 0.8599919 ,0.80609463, 0.80609463, 0.80609463,0.61814662, 0.61814662, 0.61814662,
0.91888753, 0.91888753, 0.91888753,0.92652672, 0.92652672, 0.92652672,0.92939674, 0.92939674, 0.92939674,0.90661931, 0.90661931, 0.90661931,0.74516764, 0.74516764, 0.74516764,
0.95254269, 0.95254269, 0.95254269,0.95710717, 0.95710717, 0.95710717,0.96021584, 0.96021584, 0.96021584,0.95222547, 0.95222547, 0.95222547,0.83426363, 0.83426363, 0.83426363,
0.97154357, 0.97154357, 0.97154357,0.97424915, 0.97424915, 0.97424915,0.97644817, 0.97644817, 0.97644817,0.97410547, 0.97410547, 0.97410547,0.89409962, 0.89409962, 0.89409962});
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.89948899, 0.89948899, 0.89948899, 0.94544483, 0.94544483, 0.94544483, 0.96797541, 0.96797541, 0.96797541, 0.9807326 , 0.9807326 , 0.9807326 });
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.85301722, 0.85301722, 0.85301722, 0.91888753, 0.91888753, 0.91888753, 0.95254269, 0.95254269, 0.95254269, 0.97154357, 0.97154357, 0.97154357});
nd4j::ops::dynamic_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto hFW = results->at(0);
auto hBW = results->at(1);
auto hFWfinal = results->at(2);
auto hBWfinal = results->at(3);
ASSERT_TRUE(expHFW.isSameShape(hFW));
ASSERT_TRUE(expHFW.equalsTo(hFW));
ASSERT_TRUE(expHBW.isSameShape(hBW));
ASSERT_TRUE(expHBW.equalsTo(hBW));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test5) {
const int bS = 4;
const int inSize = 4;
const int numUnitsFW = 3;
const int numUnitsBW = 3;
const int time = 5;
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
x.linspace(0.01, 0.01);
WxFW = 0.3;
WhFW = 0.4;
bFW = 0.1;
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.22602835, 0.22602835, 0.22602835,0.49994591, 0.49994591, 0.49994591,0.72869307, 0.72869307, 0.72869307,0.84784327, 0.84784327, 0.84784327,0.89357928, 0.89357928, 0.89357928,
0.43819931, 0.43819931, 0.43819931,0.7793996 , 0.7793996 , 0.7793996 ,0.9053792 , 0.9053792 , 0.9053792 ,0.93546593, 0.93546593, 0.93546593,0.94518339, 0.94518339, 0.94518339,
0.61067683, 0.61067683, 0.61067683,0.90347408, 0.90347408, 0.90347408,0.95538786, 0.95538786, 0.95538786,0.96406045, 0.96406045, 0.96406045,0.96795929, 0.96795929, 0.96795929,
0.73978305, 0.73978305, 0.73978305,0.95499984, 0.95499984, 0.95499984,0.97535671, 0.97535671, 0.97535671,0.97864446, 0.97864446, 0.97864446,0.98073144, 0.98073144, 0.98073144});
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.84882345, 0.84882345, 0.84882345,0.85160683, 0.85160683, 0.85160683,0.81997657, 0.81997657, 0.81997657,0.69228829, 0.69228829, 0.69228829,0.39861399, 0.39861399, 0.39861399,
0.91865453, 0.91865453, 0.91865453,0.92528094, 0.92528094, 0.92528094,0.92212167, 0.92212167, 0.92212167,0.86418213, 0.86418213, 0.86418213,0.57969286, 0.57969286, 0.57969286,
0.95252666, 0.95252666, 0.95252666,0.95696305, 0.95696305, 0.95696305,0.95878749, 0.95878749, 0.95878749,0.93722463, 0.93722463, 0.93722463,0.71727031, 0.71727031, 0.71727031,
0.97154234, 0.97154234, 0.97154234,0.97423089, 0.97423089, 0.97423089,0.976149 , 0.976149 , 0.976149 ,0.96878298, 0.96878298, 0.96878298,0.81508646, 0.81508646, 0.81508646});
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.89357928, 0.89357928, 0.89357928, 0.94518339, 0.94518339, 0.94518339, 0.96795929, 0.96795929, 0.96795929, 0.98073144, 0.98073144, 0.98073144});
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.84882345, 0.84882345, 0.84882345, 0.91865453, 0.91865453, 0.91865453, 0.95252666, 0.95252666, 0.95252666, 0.97154234, 0.97154234, 0.97154234});
nd4j::ops::dynamic_bidirectional_rnn op;
auto results = op.evaluate({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW}, {}, {});
ASSERT_EQ(ND4J_STATUS_OK, results->status());
auto hFW = results->at(0);
auto hBW = results->at(1);
auto hFWfinal = results->at(2);
auto hBWfinal = results->at(3);
ASSERT_TRUE(expHFW.isSameShape(hFW));
ASSERT_TRUE(expHFW.equalsTo(hFW));
ASSERT_TRUE(expHBW.isSameShape(hBW));
ASSERT_TRUE(expHBW.equalsTo(hBW));
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
delete results;
}
TEST_F(DeclarableOpsTests6, Test_Diag_119_1) {
auto x = NDArrayFactory::create<double>('c', {3}, {0.15f, 0.25f, 0.35f});
auto e = NDArrayFactory::create<double>('c', {3, 3}, {0.15f, 0.0f, 0.0f, 0.0f, 0.25f, 0.0f, 0.0f, 0.0f, 0.35f});
nd4j::ops::diag op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(e, *result->at(0));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_Diag_119_2) {
auto x = NDArrayFactory::create<double>('c', {1}, {0.15f});
auto e = NDArrayFactory::create<double>('c', {1, 1}, {0.15f});
nd4j::ops::diag op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(e, *result->at(0));
delete result;
}
TEST_F(DeclarableOpsTests6, Test_Diag_119_3) {
auto x = NDArrayFactory::create<double>(0.15f);
auto e = NDArrayFactory::create<double>('c', {1, 1}, {0.15f});
nd4j::ops::diag op;
auto result = op.evaluate({&x}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(e, *result->at(0));
delete result;
}