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cavis/libnd4j/tests_cpu/layers_tests/DeclarableOpsTests6.cpp
shugeo 009007120b Shugeo_release_fixes3 (#81) 
* Implementation for non_max_suppression_v3 was added. Initial version

* Added check for overcome threshold.

* Added definition for V3 method.

* java remapping for NonMaxSuppressionV3

Signed-off-by: raver119 <raver119@gmail.com>

* Fixed proporly processing of an empty output and test.

* Refactored op to less threshold data to float.

* Implemented cuda-based helper for non_max_suppression_v3 op.

* Fixed fake_quant_with_min_max_vars op.

* Fixed tests with float numbers.

* - assert now stops execution
- sortByKey/sortByValue now have input validation

Signed-off-by: raver119 <raver119@gmail.com>

* missing var

Signed-off-by: raver119 <raver119@gmail.com>

* Fixed proper processing for zero max_size inputs.

* Refactored kernel callers.

* Fixed return statement for logdet op helper.

* Refactored unsorted segment SqrtN op.

* get back 8 tail bytes on CUDA

Signed-off-by: raver119 <raver119@gmail.com>

* Refactored segment prod ops and helpers for cuda and tests.

* Additional test.

* CudaWorkspace tests updated for 8 tail bytes

Signed-off-by: raver119 <raver119@gmail.com>

* special atomic test

Signed-off-by: raver119 <raver119@gmail.com>

* atomicMul/atomicDiv fix for 16bit values

Signed-off-by: raver119 <raver119@gmail.com>

* Eliminated waste prints.
2019-11-28 21:08:51 +03:00

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/*******************************************************************************
* 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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&matrix}, {}, {});
//matrix.linspace(1);
ASSERT_EQ(onesRes->status(), Status::OK());
auto ones = onesRes->at(0);
*ones *= 10;
auto onesD = 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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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, 2, 3, 4, 1, 2, 3, 4});
auto exp= NDArrayFactory::create<float>('c', {2, 4}, {1, 3, 6, 10, 1, 3, 6, 10});
nd4j::ops::cumsum op;
auto result = op.execute({&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, 2, 3, 4, 1, 2, 3, 4});
auto exp= NDArrayFactory::create<float>('c', {2, 4}, {1, 2, 3, 4, 2, 4, 6, 8});
nd4j::ops::cumsum op;
auto result = op.execute({&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.execute({&x}, {}, {0, 1, 0}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {0, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {1, 1, 0}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {1, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x, &axis}, {}, {1, 1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(expFF.equalsTo(z));
delete result;
//************************************//
exclusive = 1; reverse = 0;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTF.equalsTo(z));
delete result;
//************************************//
exclusive = 0; reverse = 1;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expFT.equalsTo(z));
delete result;
//************************************//
exclusive = 1; reverse = 1;
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
ASSERT_EQ(Status::OK(), result->status());
z = result->at(0);
ASSERT_TRUE(expTT.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(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.execute({&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.execute({&x}, {}, {0, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {0, 0, 1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {1, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {1, 1, 0}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x}, {}, {0, 1, 2}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&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<float>(0, 1.);
exp1.p<float>(0, 1.);
for (int i = 1; i < 1500; ++i) {
const auto prev = exp0.e<float>(i-1);
exp0.p<float>(i, prev + i + 1);
exp1.p<float>(i, prev + i + 1);
}
nd4j::ops::cumsum op;
auto result = op.execute({&x}, {}, {0, 0, 1});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
////////////////////////////////////////////////////////////////////////////////
TEST_F(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<float>(0, 0.);
exp1.p<float>(0, 0.);
for (int i = 1; i < 1500; ++i) {
const auto prev = exp0.e<float>(i-1);
exp0.p<float>(i, prev + i);
exp1.p<float>(i, prev + i);
}
nd4j::ops::cumsum op;
auto result = op.execute({&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<float>(1499, 1500.);
exp1.p<float>(1499, 1500.);
for (int i = 1498; i >= 0; --i) {
const auto prev = exp0.e<float>(i + 1);
exp0.p<float>(i, prev + i + 1);
exp1.p<float>(i, prev + i + 1);
}
nd4j::ops::cumsum op;
auto result = op.execute({&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<float>(1499, 0.);
exp1.p<float>(1499, 0.);
for (int i = 1498; i >= 0; --i) {
const auto prev = exp0.e<float>(i + 1);
exp0.p<float>(i, prev + i + 2);
exp1.p<float>(i, prev + i + 2);
}
nd4j::ops::cumsum op;
auto result = op.execute({&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.execute({&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.execute({&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.execute({&x, &shape}, {0.2f}, {113}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&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.execute({&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.execute({&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.execute({&x}, {0.4f}, {113}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x, &shape}, {0.4f}, {113}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&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.execute({&x, &axis}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&x, &axis}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
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.execute({&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.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
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.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
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.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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}, {-54.0});
nd4j::ops::matrix_determinant op;
auto result = op.execute({&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.execute({&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}, {-16.0});
x.linspace(1);
x.p(5, 4.0);
x.p(12, 12.0);
nd4j::ops::matrix_determinant op;
auto result = op.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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., 4., 60., 8., 10.,
0., 1., 2., 3., 4.,
0., 0., 2., 4., 6.,
0., 0., 0., 1., 2.,
0., 0., 0., 0., 4.,
1., 0., 0., 0., 0.,
2., 1., 0., 0., 0.,
30., 2., 1., 0., 0.,
4., 3., 2., 1., 0.,
5., 4., 3., 2., 1.,
});
auto exp = NDArrayFactory::create<float>('c', {2, 5, 5}, {
0.5, -2.0, -13.0, 54.0, -6.75,
0.0, 1.0, -1.0, 1.0, 0.0,
0, 0, 0.5, -2.0, 0.25,
0, 0, 0, 1.0, -0.5,
0, 0, 0, 0, 0.25,
1.0, 0.0, 0.0, 0.0, 0.,
-2.0, 1.0, 0., 0., 0.,
-26.0, -2.0, 1, 0, 0.,
54.0, 1.0, -2.0, 1, 0.,
-27.0, 0.0, 1.0, -2.0, 1.
});
nd4j::ops::matrix_inverse op;
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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., 0., 0., 0., 0.,2., 1., 0., 0., 0.,30., 2., 1., 0., 0.,4., 3., 2., 1., 0.,5., 4., 3., 2., 1.,});
auto exp = NDArrayFactory::create<float>('c', {1, 5, 5}, {1.0, 0.0, 0.0, 0.0, 0.,-2.0, 1.0, 0., 0., 0.,-26.0, -2.0, 1, 0, 0.,54.0, 1.0, -2.0, 1, 0.,-27.0, 0.0, 1.0, -2.0, 1.});
nd4j::ops::matrix_inverse op;
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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., 4., 60., 8., 10., 0., 1., 2., 3., 4., 0., 0., 2., 4., 6., 0., 0., 0., 1., 2., 0., 0., 0., 0., 4. });
auto exp = NDArrayFactory::create<float>('c', {1, 5, 5}, {0.5, -2.0, -13.0, 54.0, -6.75, 0.0, 1.0, -1.0, 1.0, 0.0, 0, 0, 0.5, -2.0, 0.25, 0, 0, 0, 1.0, -0.5, 0, 0, 0, 0, 0.25 });
nd4j::ops::matrix_inverse op;
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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., 0., 0., 0., 0., 2., 1., 0., 0., 0., 30., 2., 1., 0., 0., 4., 3., 2., 1., 0., 5., 4., 3., 2., 1. });
auto exp = NDArrayFactory::create<float>('c', {1, 5, 5}, {1.0, 0.0, 0.0, 0.0, 0., -2.0, 1.0, 0., 0., 0., -26.0, -2.0, 1, 0, 0., 54.0, 1.0, -2.0, 1, 0., -27.0, 0.0, 1.0, -2.0, 1. });
nd4j::ops::matrix_inverse op;
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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.execute({&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., 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<float>('c', {5, 5}, {
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.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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., 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<float>('c', {5, 5}, {
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.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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., 2., 30., 4., 5.,
0., 1., 2., 3., 4.,
0., 0., 1., 2., 3.,
0., 0., 0., 1., 2.,
0., 0., 0., 0., 1.
});
auto exp = NDArrayFactory::create<float>('c', {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
});
nd4j::ops::matrix_inverse op;
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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., 2., 30., 4., 5.,
0., 1., 2., 3., 4.,
0., 0., 1., 2., 3.,
0., 0., 0., 1., 2.,
0., 0., 0., 0., 1.
});
auto exp = NDArrayFactory::create<float>('c', {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
});
nd4j::ops::matrix_inverse op;
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
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.execute({&x, &w, &b}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
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, nullptr);
ASSERT_TRUE(z != nullptr);
delete z;
}
///////////////////////////////////////////////////////////////////
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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {1}, {}, false, nd4j::DataType::DOUBLE);
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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&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.execute({&x}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(e, *result->at(0));
delete result;
}
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