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- /**
- * 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<Tensor> input = std::make_shared<Tensor>(shape, DataType(DataType::DE_UINT64),
- reinterpret_cast <unsigned char *>(labels));
- std::shared_ptr<Tensor> output;
-
- std::unique_ptr<OneHotOp> 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<Tensor> expected = std::make_shared<Tensor>(TensorShape{3, 5}, DataType(DataType::DE_UINT64),
- reinterpret_cast <unsigned char *>(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.";
- }
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