236 lines
6.3 KiB
C++
236 lines
6.3 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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// @author raver119@gmail.com
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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 <legacy/NativeOps.h>
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#include <helpers/BitwiseUtils.h>
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using namespace sd;
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using namespace sd::graph;
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class ScalarTests : public testing::Test {
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public:
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};
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TEST_F(ScalarTests, Test_Create_1) {
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auto x = NDArrayFactory::create<float>(2.0f);
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ASSERT_EQ(0, x.rankOf());
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ASSERT_EQ(1, x.lengthOf());
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ASSERT_TRUE(x.isScalar());
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ASSERT_FALSE(x.isVector());
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ASSERT_FALSE(x.isRowVector());
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ASSERT_FALSE(x.isColumnVector());
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ASSERT_FALSE(x.isMatrix());
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}
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TEST_F(ScalarTests, Test_Add_1) {
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auto x = NDArrayFactory::create<float>(2.0f);
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auto exp = NDArrayFactory::create<float>(5.0f);
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x += 3.0f;
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ASSERT_NEAR(5.0f, x.e<float>(0), 1e-5f);
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ASSERT_TRUE(exp.isSameShape(&x));
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ASSERT_TRUE(exp.equalsTo(&x));
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}
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TEST_F(ScalarTests, Test_Add_2) {
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auto x = NDArrayFactory::create<float>(2.0f);
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auto y = NDArrayFactory::create<float>(3.0f);
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auto exp = NDArrayFactory::create<float>(5.0f);
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x += y;
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ASSERT_NEAR(5.0f, x.e<float>(0), 1e-5f);
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ASSERT_TRUE(exp.isSameShape(&x));
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ASSERT_TRUE(exp.equalsTo(&x));
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}
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TEST_F(ScalarTests, Test_Add_3) {
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auto x = NDArrayFactory::create<float>('c', {3}, {1, 2, 3});
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auto y = NDArrayFactory::create<float>(3.0f);
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auto exp = NDArrayFactory::create<float>('c', {3}, {4, 5, 6});
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x += y;
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ASSERT_TRUE(exp.isSameShape(&x));
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ASSERT_TRUE(exp.equalsTo(&x));
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}
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TEST_F(ScalarTests, Test_EQ_1) {
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auto x = NDArrayFactory::create<float>(2.0f);
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auto y = NDArrayFactory::create<float>(3.0f);
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ASSERT_TRUE(y.isSameShape(&x));
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ASSERT_FALSE(y.equalsTo(&x));
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}
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TEST_F(ScalarTests, Test_Concat_1) {
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auto t = NDArrayFactory::create<float>(1.0f);
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auto u = NDArrayFactory::create<float>(2.0f);
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auto v = NDArrayFactory::create<float>(3.0f);
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auto exp = NDArrayFactory::create<float>('c', {3}, {1, 2, 3});
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sd::ops::concat op;
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auto result = op.evaluate({&t, &u, &v}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_Concat_2) {
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auto t = NDArrayFactory::create<float>(1.0f);
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auto u = NDArrayFactory::create<float>('c', {3}, {2, 3, 4});
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auto v = NDArrayFactory::create<float>(5.0f);
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auto exp = NDArrayFactory::create<float>('c', {5}, {1, 2, 3, 4, 5});
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sd::ops::concat op;
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auto result = op.evaluate({&t, &u, &v}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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// z->printIndexedBuffer();
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_Concat_3) {
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auto t = NDArrayFactory::create<float>('c', {3}, {1, 2, 3});
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auto u = NDArrayFactory::create<float>(4.0f);
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auto v = NDArrayFactory::create<float>(5.0f);
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auto exp = NDArrayFactory::create<float>('c', {5}, {1, 2, 3, 4, 5});
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sd::ops::concat op;
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auto result = op.evaluate({&t, &u, &v}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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//z->printShapeInfo("z");
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_ExpandDims_1) {
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auto x = NDArrayFactory::create<float>(2.0f);
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auto exp = NDArrayFactory::create<float>('c', {1}, {2.0f});
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sd::ops::expand_dims op;
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auto result = op.evaluate({&x}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_Squeeze_1) {
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auto x = NDArrayFactory::create<float>(2.0f);
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auto exp = NDArrayFactory::create<float>(2.0f);
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sd::ops::squeeze op;
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auto result = op.evaluate({&x}, {}, {});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_Permute_1) {
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auto x = NDArrayFactory::create<float>(3.0f);
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auto exp = NDArrayFactory::create<float>(3.0f);
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sd::ops::permute op;
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auto result = op.evaluate({&x}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_Concat_Scalar_1) {
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auto t = NDArrayFactory::create<float>('c', {1, 1}, {1.0f});
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auto u = NDArrayFactory::create<float>('c', {1, 1}, {2.0f});
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auto v = NDArrayFactory::create<float>('c', {1, 1}, {3.0f});
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auto w = NDArrayFactory::create<float>('c', {1, 1}, {4.0f});
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auto exp = NDArrayFactory::create<float>('c', {4, 1}, {1, 2, 3, 4});
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sd::ops::concat op;
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auto result = op.evaluate({&t, &u, &v, &w}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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}
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TEST_F(ScalarTests, Test_Concat_Scalar_2) {
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auto t = NDArrayFactory::create<float>('c', {1, 1}, {1.0f});
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auto u = NDArrayFactory::create<float>('c', {1, 1}, {2.0f});
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auto v = NDArrayFactory::create<float>('c', {1, 1}, {3.0f});
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auto w = NDArrayFactory::create<float>('c', {1, 1}, {4.0f});
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auto exp = NDArrayFactory::create<float>('c', {1, 4}, {1, 2, 3, 4});
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sd::ops::concat op;
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auto result = op.evaluate({&t, &u, &v, &w}, {}, {1});
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ASSERT_EQ(ND4J_STATUS_OK, result.status());
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auto z = result.at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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} |