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:
MindDataTestOneHotOp()27 MindDataTestOneHotOp() {}
28 };
29
TEST_F(MindDataTestOneHotOp,TestOp)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