/** * Copyright 2019 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://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. */ #include "common/common.h" #include "dataset/kernels/data/one_hot_op.h" #include "utils/log_adapter.h" using namespace mindspore::dataset; using mindspore::MsLogLevel::INFO; using mindspore::ExceptionType::NoExceptionType; using mindspore::LogStream; class MindDataTestOneHotOp : public UT::Common { protected: MindDataTestOneHotOp() {} }; TEST_F(MindDataTestOneHotOp, TestOp) { MS_LOG(INFO) << "Doing MindDataTestOneHotOp."; uint64_t labels[3] = {0, 1, 2}; TensorShape shape({3}); std::shared_ptr input = std::make_shared(shape, DataType(DataType::DE_UINT64), reinterpret_cast (labels)); std::shared_ptr output; std::unique_ptr op(new OneHotOp(5)); Status s = op->Compute(input, &output); uint64_t out[15] = {1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0}; std::shared_ptr expected = std::make_shared(TensorShape{3, 5}, DataType(DataType::DE_UINT64), reinterpret_cast (out)); EXPECT_TRUE(s.IsOk()); ASSERT_TRUE(output->shape() == expected->shape()); ASSERT_TRUE(output->type() == expected->type()); MS_LOG(DEBUG) << *output << std::endl; MS_LOG(DEBUG) << *expected << std::endl; ASSERT_TRUE(*output == *expected); MS_LOG(INFO) << "MindDataTestOneHotOp end."; }