cavis/libnd4j/tests_cpu/layers_tests/EmptyTests.cpp

334 lines
9.6 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 <array/NDArray.h>
// #include <array/NDArrayList.h>
using namespace sd;
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 empty = new NDArray('c', {0}, sd::DataType::FLOAT32);//NDArrayFactory::create_<float>('c', {(Nd4jLong)0}};
auto vector = NDArrayFactory::create_<float>('c', {1}, {1.0f});
ASSERT_TRUE(empty->isEmpty());
sd::ops::concat op;
auto result = op.evaluate({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 = new NDArray('c', {0}, sd::DataType::FLOAT32); //NDArrayFactory::empty_<float>();
auto scalar1 = NDArrayFactory::create_<float>('c', {1}, {1.0f});
auto scalar2 = NDArrayFactory::create_<float>('c', {1}, {2.0f});
auto exp = NDArrayFactory::create<float>('c', {2}, {1.f, 2.f});
ASSERT_TRUE(empty->isEmpty());
sd::ops::concat op;
auto result = op.evaluate({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_Concat_3) {
auto empty = NDArrayFactory::empty<float>(); //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());
sd::ops::concat op;
auto result = op.evaluate({&empty, &scalar1, &scalar2}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_EQ(exp, *z);
delete result;
}
TEST_F(EmptyTests, Test_Concat_4) {
auto empty = NDArrayFactory::empty<float>(); //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());
sd::ops::concat op;
auto result = op.evaluate({&scalar1, &empty, &scalar2}, {}, {0});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_EQ(exp, *z);
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>();
sd::ops::reshape op;
auto result = op.evaluate({&vector, empty}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
ASSERT_EQ(exp, *result->at(0));
delete empty;
delete result;
}
TEST_F(EmptyTests, Test_Reshape_3) {
auto x = NDArrayFactory::create<float>('c', {1, 0, 0, 2});
auto y = NDArrayFactory::create<int>('c', {2}, {10, 0});
auto e = NDArrayFactory::create<float>('c', {10, 0});
sd::ops::reshape op;
auto result = op.evaluate({&x, &y}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_TRUE(e.isSameShape(z));
ASSERT_EQ(e, *z);
delete result;
}
TEST_F(EmptyTests, Test_dup_1) {
auto empty = NDArrayFactory::empty<int>();
auto dup = new NDArray(empty.dup());
ASSERT_TRUE(dup->isEmpty());
ASSERT_EQ(empty, *dup);
delete dup;
}
TEST_F(EmptyTests, test_empty_scatter_1) {
auto x = NDArrayFactory::create<float>('c', {5});
auto indices = NDArrayFactory::create<int>('c', {0});
auto updates = NDArrayFactory::create<float>('c', {0});
x.linspace(1.0f);
sd::ops::scatter_upd op;
auto result = op.evaluate({&x, &indices, &updates}, {}, {}, {true});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_EQ(x, *z);
delete result;
}
TEST_F(EmptyTests, test_empty_scatter_2) {
NDArray x ('c', {5}, sd::DataType::FLOAT32);
NDArray z ('c', {5}, sd::DataType::FLOAT32);
auto indices = NDArrayFactory::create<int>('c', {0});
auto updates = NDArrayFactory::create<float>('c', {0});
x.linspace(1.0f);
sd::ops::scatter_upd op;
auto status = op.execute({&x, &indices, &updates}, {&z}, {}, {}, {true});
ASSERT_EQ(Status::OK(), status);
ASSERT_EQ(x, z);
}
TEST_F(EmptyTests, test_shaped_empty_1) {
auto empty = NDArrayFactory::create<float>('c', {2, 0, 3});
std::vector<Nd4jLong> shape = {2, 0, 3};
ASSERT_EQ(sd::DataType::FLOAT32, empty.dataType());
ASSERT_EQ(0, empty.lengthOf());
ASSERT_TRUE(empty.isEmpty());
ASSERT_EQ(shape, empty.getShapeAsVector());
ASSERT_EQ(3, empty.rankOf());
}
TEST_F(EmptyTests, test_shaped_empty_2) {
auto empty = NDArrayFactory::create<float>('c', {0, 3});
std::vector<Nd4jLong> shape = {0, 3};
ASSERT_EQ(sd::DataType::FLOAT32, empty.dataType());
ASSERT_EQ(0, empty.lengthOf());
ASSERT_TRUE(empty.isEmpty());
ASSERT_EQ(shape, empty.getShapeAsVector());
ASSERT_EQ(2, empty.rankOf());
}
TEST_F(EmptyTests, test_shaped_empty_3) {
auto empty = NDArrayFactory::create<float>('c', {0});
std::vector<Nd4jLong> shape = {0};
ASSERT_EQ(sd::DataType::FLOAT32, empty.dataType());
ASSERT_EQ(0, empty.lengthOf());
ASSERT_TRUE(empty.isEmpty());
ASSERT_EQ(shape, empty.getShapeAsVector());
ASSERT_EQ(1, empty.rankOf());
}
TEST_F(EmptyTests, test_shaped_empty_4) {
auto shape = ConstantShapeHelper::getInstance()->vectorShapeInfo(0, sd::DataType::FLOAT32);
NDArray array(shape, true, sd::LaunchContext::defaultContext());
std::vector<Nd4jLong> shapeOf({0});
ASSERT_TRUE(array.isEmpty());
ASSERT_EQ(1, array.rankOf());
ASSERT_EQ(shapeOf, array.getShapeAsVector());
}
TEST_F(EmptyTests, test_empty_reshape_1) {
/*
INDArray arr0 = Nd4j.create(DataType.FLOAT, 2, 0);
INDArray arr1 = Nd4j.create(DataType.FLOAT, 0, 1, 2);
INDArray out0 = Nd4j.exec(new Reshape(arr0, Nd4j.createFromArray(2, 0, -1), Nd4j.create(DataType.FLOAT, 2, 0, 0)))[0];
INDArray out1 = Nd4j.exec(new Reshape(arr1, Nd4j.createFromArray(-1, 1), Nd4j.create(DataType.FLOAT, 0, 1)))[0];
INDArray out2 = Nd4j.exec(new Reshape(arr1, Nd4j.createFromArray(10, -1), Nd4j.create(DataType.FLOAT, 10, 0)))[0];
assertArrayEquals(new long[]{2, 0, 0}, out0.shape());
assertArrayEquals(new long[]{0, 1}, out1.shape());
assertArrayEquals(new long[]{10, 0}, out2.shape());
*/
auto x0 = NDArrayFactory::create<float>('c', {2, 0});
auto x1 = NDArrayFactory::create<float>('c', {0, 1, 2});
auto shape0 = NDArrayFactory::create<Nd4jLong>('c', {3}, {2, 0, -1});
auto shape1 = NDArrayFactory::create<Nd4jLong>('c', {2}, {-1, 1});
auto e0 = NDArrayFactory::create<float>('c', {2, 0, 0});
auto e1 = NDArrayFactory::create<float>('c', {0, 1});
sd::ops::reshape op;
auto result0 = op.evaluate({&x0, &shape0}, {}, {});
ASSERT_EQ(Status::OK(), result0->status());
auto z0 = result0->at(0);
ASSERT_EQ(e0, *z0);
auto result1 = op.evaluate({&x1, &shape1}, {}, {});
ASSERT_EQ(Status::OK(), result1->status());
auto z1 = result1->at(0);
ASSERT_EQ(e1, *z1);
delete result0;
delete result1;
}
TEST_F(EmptyTests, test_empty_matmul_1) {
auto x = NDArrayFactory::create<float>('c', {0, 1});
auto y = NDArrayFactory::create<float>('c', {1, 0});
auto e = NDArrayFactory::create<float>('c', {0, 0});
sd::ops::matmul op;
auto result = op.evaluate({&x, &y}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_EQ(e, *z);
delete result;
}
TEST_F(EmptyTests, test_empty_matmul_2) {
auto x = NDArrayFactory::create<float>('c', {1, 0, 4});
auto y = NDArrayFactory::create<float>('c', {1, 4, 0});
auto e = NDArrayFactory::create<float>('c', {1, 0, 0});
sd::ops::matmul op;
auto result = op.evaluate({&x, &y}, {}, {});
ASSERT_EQ(Status::OK(), result->status());
auto z = result->at(0);
ASSERT_EQ(e, *z);
delete result;
}