358 lines
11 KiB
C++
358 lines
11 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 <NDArray.h>
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// #include <array/NDArrayList.h>
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using namespace nd4j;
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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}, nd4j::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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nd4j::ops::concat op;
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auto result = op.execute({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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delete result;
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}
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TEST_F(EmptyTests, Test_Concat_2) {
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auto empty = new NDArray('c', {0}, nd4j::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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nd4j::ops::concat op;
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auto result = op.execute({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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delete result;
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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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nd4j::ops::concat op;
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auto result = op.execute({&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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delete result;
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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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nd4j::ops::concat op;
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auto result = op.execute({&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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delete result;
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}
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TEST_F(EmptyTests, Test_Reshape_1) {
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auto vector = NDArrayFactory::create<float>('c', {1}, {119.0f});
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auto exp = NDArrayFactory::create<float>(119.f);
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auto empty = NDArrayFactory::empty_<int>();
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nd4j::ops::reshape op;
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auto result = op.execute({&vector, empty}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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ASSERT_EQ(exp, *result->at(0));
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delete empty;
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delete result;
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}
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TEST_F(EmptyTests, Test_Reshape_2) {
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auto vector = NDArrayFactory::create<float>('c', {1}, {119.0f});
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auto exp = NDArrayFactory::create<float>(119.0f);
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auto empty = NDArrayFactory::empty_<Nd4jLong>();
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nd4j::ops::reshape op;
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auto result = op.execute({&vector, empty}, {}, {}, {}, true);
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ASSERT_EQ(Status::OK(), result->status());
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ASSERT_EQ(exp, *result->at(0));
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ASSERT_EQ(exp, vector);
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delete empty;
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delete result;
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}
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TEST_F(EmptyTests, Test_Reshape_3) {
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auto x = NDArrayFactory::create<float>('c', {1, 0, 0, 2});
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auto y = NDArrayFactory::create<int>('c', {2}, {10, 0});
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auto e = NDArrayFactory::create<float>('c', {10, 0});
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nd4j::ops::reshape op;
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auto result = op.execute({&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_TRUE(e.isSameShape(z));
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ASSERT_EQ(e, *z);
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delete result;
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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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nd4j::ops::scatter_upd op;
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auto result = op.execute({&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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delete result;
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}
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TEST_F(EmptyTests, test_empty_scatter_2) {
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auto x = NDArrayFactory::create<float>('c', {5});
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auto z = 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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Context ctx(1);
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ctx.setInputArray(0, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo());
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ctx.setInputArray(1, indices.buffer(), indices.shapeInfo(), indices.specialBuffer(), indices.specialShapeInfo());
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ctx.setInputArray(2, updates.buffer(), updates.shapeInfo(), updates.specialBuffer(), updates.specialShapeInfo());
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ctx.setOutputArray(0, z.buffer(), z.shapeInfo(), z.specialBuffer(), z.specialShapeInfo());
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bool args[] = {true};
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ctx.setBArguments(args, 1);
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nd4j::ops::scatter_upd op;
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auto result = op.execute(&ctx);
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ASSERT_EQ(Status::OK(), result);
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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(nd4j::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(nd4j::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(nd4j::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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auto shape = ConstantShapeHelper::getInstance()->vectorShapeInfo(0, nd4j::DataType::FLOAT32);
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NDArray array(shape, true, nd4j::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_reshape_1) {
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/*
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INDArray arr0 = Nd4j.create(DataType.FLOAT, 2, 0);
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INDArray arr1 = Nd4j.create(DataType.FLOAT, 0, 1, 2);
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INDArray out0 = Nd4j.exec(new Reshape(arr0, Nd4j.createFromArray(2, 0, -1), Nd4j.create(DataType.FLOAT, 2, 0, 0)))[0];
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INDArray out1 = Nd4j.exec(new Reshape(arr1, Nd4j.createFromArray(-1, 1), Nd4j.create(DataType.FLOAT, 0, 1)))[0];
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INDArray out2 = Nd4j.exec(new Reshape(arr1, Nd4j.createFromArray(10, -1), Nd4j.create(DataType.FLOAT, 10, 0)))[0];
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assertArrayEquals(new long[]{2, 0, 0}, out0.shape());
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assertArrayEquals(new long[]{0, 1}, out1.shape());
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assertArrayEquals(new long[]{10, 0}, out2.shape());
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*/
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auto x0 = NDArrayFactory::create<float>('c', {2, 0});
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auto x1 = NDArrayFactory::create<float>('c', {0, 1, 2});
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auto shape0 = NDArrayFactory::create<Nd4jLong>('c', {3}, {2, 0, -1});
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auto shape1 = NDArrayFactory::create<Nd4jLong>('c', {2}, {-1, 1});
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auto e0 = NDArrayFactory::create<float>('c', {2, 0, 0});
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auto e1 = NDArrayFactory::create<float>('c', {0, 1});
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nd4j::ops::reshape op;
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auto result0 = op.execute({&x0, &shape0}, {}, {});
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ASSERT_EQ(Status::OK(), result0->status());
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auto z0 = result0->at(0);
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ASSERT_EQ(e0, *z0);
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auto result1 = op.execute({&x1, &shape1}, {}, {});
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ASSERT_EQ(Status::OK(), result1->status());
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auto z1 = result1->at(0);
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ASSERT_EQ(e1, *z1);
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delete result0;
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delete result1;
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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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nd4j::ops::matmul op;
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auto result = op.execute({&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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delete result;
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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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nd4j::ops::matmul op;
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auto result = op.execute({&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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delete result;
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}
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