/* ****************************************************************************** * * * 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. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * 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 ******************************************************************************/ // // @author raver119@gmail.com // #include "testlayers.h" #include #include #include #include using namespace sd; using namespace sd::graph; class SingleDimTests : public testing::Test { public: }; TEST_F(SingleDimTests, Test_Create_1) { auto x = NDArrayFactory::create('c', {5}, {1, 2, 3, 4, 5}); ASSERT_EQ(5, x.lengthOf()); ASSERT_EQ(1, x.rankOf()); ASSERT_TRUE(x.isVector()); ASSERT_TRUE(x.isRowVector()); ASSERT_FALSE(x.isMatrix()); } TEST_F(SingleDimTests, Test_Add_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto exp = NDArrayFactory::create('c', {3}, {2, 3, 4}); x += 1.0f; ASSERT_TRUE(exp.isSameShape(&x)); ASSERT_TRUE(exp.equalsTo(&x)); } TEST_F(SingleDimTests, Test_Pairwise_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto exp = NDArrayFactory::create('c', {3}, {2, 4, 6}); x += x; ASSERT_TRUE(exp.isSameShape(&x)); ASSERT_TRUE(exp.equalsTo(&x)); } TEST_F(SingleDimTests, Test_Concat_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto y = NDArrayFactory::create('c', {3}, {4, 5, 6}); auto exp = NDArrayFactory::create('c', {6}, {1, 2, 3, 4, 5, 6}); sd::ops::concat op; auto result = op.evaluate({&x, &y}, {}, {0}); ASSERT_EQ(ND4J_STATUS_OK, result.status()); auto z = result.at(0); ASSERT_TRUE(exp.isSameShape(z)); ASSERT_TRUE(exp.equalsTo(z)); } TEST_F(SingleDimTests, Test_Reduce_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); float r = x.reduceNumber(reduce::Sum).e(0); ASSERT_NEAR(6.0f, r, 1e-5f); } TEST_F(SingleDimTests, Test_IndexReduce_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto r = x.indexReduceNumber(indexreduce::IndexMax).e(0); ASSERT_NEAR(2, r, 1e-5f); } TEST_F(SingleDimTests, Test_ExpandDims_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto exp = NDArrayFactory::create('c', {1, 3}, {1, 2, 3}); sd::ops::expand_dims op; auto result = op.evaluate({&x}, {}, {0}); ASSERT_EQ(ND4J_STATUS_OK, result.status()); auto z = result.at(0); ASSERT_TRUE(exp.isSameShape(z)); ASSERT_TRUE(exp.equalsTo(z)); } TEST_F(SingleDimTests, Test_ExpandDims_2) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto exp = NDArrayFactory::create('c', {3, 1}, {1, 2, 3}); sd::ops::expand_dims op; auto result = op.evaluate({&x}, {}, {1}); ASSERT_EQ(ND4J_STATUS_OK, result.status()); auto z = result.at(0); ASSERT_TRUE(exp.isSameShape(z)); ASSERT_TRUE(exp.equalsTo(z)); } TEST_F(SingleDimTests, Test_Squeeze_1) { std::vector vecS({1}); std::vector vecB({3.0f}); auto x = NDArrayFactory::create('c', vecS, vecB); auto exp = NDArrayFactory::create(3.0f); sd::ops::squeeze op; auto result = op.evaluate({&x}, {}, {}); ASSERT_EQ(ND4J_STATUS_OK, result.status()); auto z = result.at(0); ASSERT_EQ(exp.rankOf(), z->rankOf()); ASSERT_TRUE(exp.equalsTo(z)); } TEST_F(SingleDimTests, Test_Squeeze_2) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto exp = NDArrayFactory::create('c', {3}, {1, 2, 3}); sd::ops::squeeze op; auto result = op.evaluate({&x}, {}, {}); ASSERT_EQ(ND4J_STATUS_OK, result.status()); auto z = result.at(0); ASSERT_TRUE(exp.isSameShape(z)); ASSERT_TRUE(exp.equalsTo(z)); } TEST_F(SingleDimTests, Test_Permute_1) { auto x = NDArrayFactory::create('c', {3}, {1, 2, 3}); auto exp = NDArrayFactory::create('c', {3}, {1, 2, 3}); sd::ops::permute op; auto result = op.evaluate({&x}, {}, {0}); ASSERT_EQ(ND4J_STATUS_OK, result.status()); auto z = result.at(0); ASSERT_TRUE(exp.isSameShape(z)); ASSERT_TRUE(exp.equalsTo(z)); }