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56 lines
2.1 KiB
56 lines
2.1 KiB
5 years ago
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/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "common/common.h"
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#include "common/cvop_common.h"
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#include "dataset/kernels/data/one_hot_op.h"
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#include "dataset/core/cv_tensor.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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using mindspore::MsLogLevel::INFO;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::LogStream;
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class MindDataTestOneHotOp : public UT::CVOP::CVOpCommon {
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protected:
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MindDataTestOneHotOp() : CVOpCommon() {}
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};
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TEST_F(MindDataTestOneHotOp, TestOp) {
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MS_LOG(INFO) << "Doing MindDataTestOneHotOp.";
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uint64_t labels[3] = {0, 1, 2};
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TensorShape shape({3});
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std::shared_ptr<Tensor> input = std::make_shared<Tensor>(shape, DataType(DataType::DE_UINT64),
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reinterpret_cast <unsigned char *>(labels));
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std::shared_ptr<Tensor> output;
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std::unique_ptr<OneHotOp> op(new OneHotOp(5));
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Status s = op->Compute(input, &output);
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uint64_t out[15] = {1, 0, 0, 0, 0,
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0, 1, 0, 0, 0,
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0, 0, 1, 0, 0};
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std::shared_ptr<Tensor> expected = std::make_shared<Tensor>(TensorShape{3, 5}, DataType(DataType::DE_UINT64),
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reinterpret_cast <unsigned char *>(out));
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EXPECT_TRUE(s.IsOk());
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ASSERT_TRUE(output->shape() == expected->shape());
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ASSERT_TRUE(output->type() == expected->type());
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std::cout << *output << std::endl;
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std::cout << *expected << std::endl;
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ASSERT_TRUE(*output == *expected);
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MS_LOG(INFO) << "MindDataTestOneHotOp end.";
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}
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