cavis/libnd4j/tests_cpu/layers_tests/EmptyTests.cpp

150 lines
3.8 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// Created by raver on 6/18/2018.
//
#include "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <NDArray.h>
// #include <array/NDArrayList.h>
using namespace nd4j;
class EmptyTests : public testing::Test {
public:
EmptyTests() {
printf("\n");
fflush(stdout);
}
};
TEST_F(EmptyTests, Test_Create_Empty_1) {
auto empty = NDArrayFactory::empty_<float>();
ASSERT_TRUE(empty->isEmpty());
ASSERT_EQ(0, empty->lengthOf());
ASSERT_TRUE(empty->buffer() == nullptr);
ASSERT_TRUE(shape::isEmpty(empty->shapeInfo()));
delete empty;
}
TEST_F(EmptyTests, Test_Create_Empty_2) {
auto empty = NDArrayFactory::empty<float>();
ASSERT_TRUE(empty.isEmpty());
ASSERT_EQ(0, empty.lengthOf());
ASSERT_TRUE(empty.buffer() == nullptr);
ASSERT_TRUE(shape::isEmpty(empty.shapeInfo()));
ASSERT_TRUE(empty.isEmpty());
}
TEST_F(EmptyTests, Test_Concat_1) {
auto empty = NDArrayFactory::empty_<float>();
auto vector = NDArrayFactory::create_<float>('c', {1}, {1.0f});
ASSERT_TRUE(empty->isEmpty());
nd4j::ops::concat op;
auto result = op.execute({empty, vector}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
// z->printShapeInfo("z shape");
// z->printIndexedBuffer("z buffr");
ASSERT_EQ(*vector, *z);
delete empty;
delete vector;
delete result;
}
TEST_F(EmptyTests, Test_Concat_2) {
auto empty = NDArrayFactory::empty_<float>();
auto scalar1 = NDArrayFactory::create_<float>(1.0f);
auto scalar2 = NDArrayFactory::create_<float>(2.0f);
auto exp = NDArrayFactory::create<float>('c', {2}, {1.f, 2.f});
ASSERT_TRUE(empty->isEmpty());
nd4j::ops::concat op;
auto result = op.execute({empty, scalar1, scalar2}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
// z->printShapeInfo("z shape");
// z->printIndexedBuffer("z buffr");
ASSERT_EQ(exp, *z);
delete empty;
delete scalar1;
delete scalar2;
delete result;
}
TEST_F(EmptyTests, Test_Reshape_1) {
auto vector = NDArrayFactory::create<float>('c', {1}, {119.0f});
auto exp = NDArrayFactory::create<float>(119.f);
auto empty = NDArrayFactory::empty_<int>();
nd4j::ops::reshape op;
auto result = op.execute({&vector, empty}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(exp, *result->at(0));
delete empty;
delete result;
}
TEST_F(EmptyTests, Test_Reshape_2) {
auto vector = NDArrayFactory::create<float>('c', {1}, {119.0f});
auto exp = NDArrayFactory::create<float>(119.0f);
auto empty = NDArrayFactory::empty_<Nd4jLong>();
nd4j::ops::reshape op;
auto result = op.execute({&vector, empty}, {}, {}, {}, true);
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(exp, *result->at(0));
ASSERT_EQ(exp, vector);
delete empty;
delete result;
}
TEST_F(EmptyTests, Test_dup_1) {
auto empty = NDArrayFactory::empty<int>();
auto dup = empty.dup();
ASSERT_TRUE(dup->isEmpty());
ASSERT_EQ(empty, *dup);
delete dup;
}