255 lines
7.2 KiB
C++
255 lines
7.2 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// Created by raver on 6/18/2018.
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//
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#include "testlayers.h"
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#include <ops/declarable/CustomOperations.h>
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#include <array/NDArray.h>
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// #include <array/NDArrayList.h>
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using namespace sd;
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class EmptyTests : public testing::Test {
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public:
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EmptyTests() {
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printf("\n");
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fflush(stdout);
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}
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};
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TEST_F(EmptyTests, Test_Create_Empty_1) {
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auto empty = NDArrayFactory::empty_<float>();
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ASSERT_TRUE(empty->isEmpty());
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ASSERT_EQ(0, empty->lengthOf());
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ASSERT_TRUE(empty->buffer() == nullptr);
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ASSERT_TRUE(shape::isEmpty(empty->shapeInfo()));
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delete empty;
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}
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TEST_F(EmptyTests, Test_Create_Empty_2) {
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auto empty = NDArrayFactory::empty<float>();
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ASSERT_TRUE(empty.isEmpty());
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ASSERT_EQ(0, empty.lengthOf());
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ASSERT_TRUE(empty.buffer() == nullptr);
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ASSERT_TRUE(shape::isEmpty(empty.shapeInfo()));
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ASSERT_TRUE(empty.isEmpty());
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}
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TEST_F(EmptyTests, Test_Concat_1) {
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// auto empty = NDArrayFactory::empty_<float>();
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auto empty = new NDArray('c', {0}, sd::DataType::FLOAT32);//NDArrayFactory::create_<float>('c', {(Nd4jLong)0}};
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auto vector = NDArrayFactory::create_<float>('c', {1}, {1.0f});
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ASSERT_TRUE(empty->isEmpty());
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sd::ops::concat op;
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auto result = op.evaluate({empty, vector}, {}, {0});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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// z->printShapeInfo("z shape");
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// z->printIndexedBuffer("z buffr");
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ASSERT_EQ(*vector, *z);
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delete empty;
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delete vector;
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}
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TEST_F(EmptyTests, Test_Concat_2) {
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auto empty = new NDArray('c', {0}, sd::DataType::FLOAT32); //NDArrayFactory::empty_<float>();
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auto scalar1 = NDArrayFactory::create_<float>('c', {1}, {1.0f});
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auto scalar2 = NDArrayFactory::create_<float>('c', {1}, {2.0f});
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auto exp = NDArrayFactory::create<float>('c', {2}, {1.f, 2.f});
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ASSERT_TRUE(empty->isEmpty());
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sd::ops::concat op;
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auto result = op.evaluate({empty, scalar1, scalar2}, {}, {0});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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// z->printShapeInfo("z shape");
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// z->printIndexedBuffer("z buffr");
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ASSERT_EQ(exp, *z);
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delete empty;
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delete scalar1;
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delete scalar2;
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}
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TEST_F(EmptyTests, Test_Concat_3) {
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auto empty = NDArrayFactory::empty<float>(); //NDArrayFactory::empty_<float>();
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auto scalar1 = NDArrayFactory::create<float>(1.0f);
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auto scalar2 = NDArrayFactory::create<float>(2.0f);
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auto exp = NDArrayFactory::create<float>('c', {2}, {1.f, 2.f});
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ASSERT_TRUE(empty.isEmpty());
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sd::ops::concat op;
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auto result = op.evaluate({&empty, &scalar1, &scalar2}, {}, {0});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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ASSERT_EQ(exp, *z);
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}
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TEST_F(EmptyTests, Test_Concat_4) {
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auto empty = NDArrayFactory::empty<float>(); //NDArrayFactory::empty_<float>();
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auto scalar1 = NDArrayFactory::create<float>(1.0f);
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auto scalar2 = NDArrayFactory::create<float>(2.0f);
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auto exp = NDArrayFactory::create<float>('c', {2}, {1.f, 2.f});
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ASSERT_TRUE(empty.isEmpty());
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sd::ops::concat op;
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auto result = op.evaluate({&scalar1, &empty, &scalar2}, {}, {0});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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ASSERT_EQ(exp, *z);
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}
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TEST_F(EmptyTests, Test_dup_1) {
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auto empty = NDArrayFactory::empty<int>();
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auto dup = new NDArray(empty.dup());
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ASSERT_TRUE(dup->isEmpty());
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ASSERT_EQ(empty, *dup);
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delete dup;
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}
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TEST_F(EmptyTests, test_empty_scatter_1) {
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auto x = NDArrayFactory::create<float>('c', {5});
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auto indices = NDArrayFactory::create<int>('c', {0});
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auto updates = NDArrayFactory::create<float>('c', {0});
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x.linspace(1.0f);
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sd::ops::scatter_upd op;
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auto result = op.evaluate({&x, &indices, &updates}, {}, {}, {true});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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ASSERT_EQ(x, *z);
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}
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TEST_F(EmptyTests, test_empty_scatter_2) {
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NDArray x ('c', {5}, sd::DataType::FLOAT32);
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NDArray z ('c', {5}, sd::DataType::FLOAT32);
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auto indices = NDArrayFactory::create<int>('c', {0});
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auto updates = NDArrayFactory::create<float>('c', {0});
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x.linspace(1.0f);
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sd::ops::scatter_upd op;
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auto status = op.execute({&x, &indices, &updates}, {&z}, {}, {}, {true});
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ASSERT_EQ(Status::OK(), status);
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ASSERT_EQ(x, z);
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}
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TEST_F(EmptyTests, test_shaped_empty_1) {
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auto empty = NDArrayFactory::create<float>('c', {2, 0, 3});
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std::vector<Nd4jLong> shape = {2, 0, 3};
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ASSERT_EQ(sd::DataType::FLOAT32, empty.dataType());
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ASSERT_EQ(0, empty.lengthOf());
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ASSERT_TRUE(empty.isEmpty());
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ASSERT_EQ(shape, empty.getShapeAsVector());
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ASSERT_EQ(3, empty.rankOf());
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}
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TEST_F(EmptyTests, test_shaped_empty_2) {
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auto empty = NDArrayFactory::create<float>('c', {0, 3});
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std::vector<Nd4jLong> shape = {0, 3};
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ASSERT_EQ(sd::DataType::FLOAT32, empty.dataType());
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ASSERT_EQ(0, empty.lengthOf());
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ASSERT_TRUE(empty.isEmpty());
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ASSERT_EQ(shape, empty.getShapeAsVector());
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ASSERT_EQ(2, empty.rankOf());
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}
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TEST_F(EmptyTests, test_shaped_empty_3) {
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auto empty = NDArrayFactory::create<float>('c', {0});
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std::vector<Nd4jLong> shape = {0};
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ASSERT_EQ(sd::DataType::FLOAT32, empty.dataType());
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ASSERT_EQ(0, empty.lengthOf());
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ASSERT_TRUE(empty.isEmpty());
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ASSERT_EQ(shape, empty.getShapeAsVector());
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ASSERT_EQ(1, empty.rankOf());
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}
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TEST_F(EmptyTests, test_shaped_empty_4) {
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const auto shape = ConstantShapeHelper::getInstance().vectorShapeInfo(0, sd::DataType::FLOAT32);
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NDArray array(shape, true, sd::LaunchContext::defaultContext());
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std::vector<Nd4jLong> shapeOf({0});
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ASSERT_TRUE(array.isEmpty());
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ASSERT_EQ(1, array.rankOf());
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ASSERT_EQ(shapeOf, array.getShapeAsVector());
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}
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TEST_F(EmptyTests, test_empty_matmul_1) {
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auto x = NDArrayFactory::create<float>('c', {0, 1});
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auto y = NDArrayFactory::create<float>('c', {1, 0});
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auto e = NDArrayFactory::create<float>('c', {0, 0});
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sd::ops::matmul op;
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auto result = op.evaluate({&x, &y}, {}, {});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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ASSERT_EQ(e, *z);
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}
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TEST_F(EmptyTests, test_empty_matmul_2) {
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auto x = NDArrayFactory::create<float>('c', {1, 0, 4});
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auto y = NDArrayFactory::create<float>('c', {1, 4, 0});
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auto e = NDArrayFactory::create<float>('c', {1, 0, 0});
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sd::ops::matmul op;
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auto result = op.evaluate({&x, &y}, {}, {});
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ASSERT_EQ(Status::OK(), result.status());
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auto z = result.at(0);
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ASSERT_EQ(e, *z);
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}
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