1 /** 2 * Copyright 2019 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 #include "common/common.h" 17 #include "minddata/dataset/kernels/data/one_hot_op.h" 18 #include "utils/log_adapter.h" 19 20 using namespace mindspore::dataset; 21 using mindspore::MsLogLevel::INFO; 22 using mindspore::ExceptionType::NoExceptionType; 23 using mindspore::LogStream; 24 25 class MindDataTestOneHotOp : public UT::Common { 26 protected: 27 MindDataTestOneHotOp() {} 28 }; 29 30 TEST_F(MindDataTestOneHotOp, TestOp) { 31 MS_LOG(INFO) << "Doing MindDataTestOneHotOp."; 32 std::vector<uint64_t> labels = {0, 1, 2}; 33 std::shared_ptr<Tensor> input; 34 Tensor::CreateFromVector(labels, &input); 35 std::shared_ptr<Tensor> output; 36 37 std::unique_ptr<OneHotOp> op(new OneHotOp(5)); 38 Status s = op->Compute(input, &output); 39 std::vector<uint64_t> out = {1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0}; 40 std::shared_ptr<Tensor> expected; 41 Tensor::CreateFromVector(out, TensorShape{3, 5}, &expected); 42 43 EXPECT_TRUE(s.IsOk()); 44 ASSERT_TRUE(output->shape() == expected->shape()); 45 ASSERT_TRUE(output->type() == expected->type()); 46 MS_LOG(DEBUG) << *output << std::endl; 47 MS_LOG(DEBUG) << *expected << std::endl; 48 49 ASSERT_TRUE(*output == *expected); 50 MS_LOG(INFO) << "MindDataTestOneHotOp end."; 51 } 52