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55 lines
1.8 KiB
55 lines
1.8 KiB
/**
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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 "minddata/dataset/kernels/image/hwc_to_chw_op.h"
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#include "minddata/dataset/core/data_type.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 MindDataTestChannelSwap : public UT::CVOP::CVOpCommon {
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public:
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MindDataTestChannelSwap() : CVOpCommon() {}
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};
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TEST_F(MindDataTestChannelSwap, TestOp) {
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MS_LOG(INFO) << "Doing MindDataTestChannelSwap.";
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// Creating a Tensor
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TensorShape s = input_tensor_->shape();
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int size_buffer = s[0] * s[1] * s[2];
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std::unique_ptr<uchar[]> output_buffer(new uchar[size_buffer]);
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std::shared_ptr<Tensor> output_tensor;
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// Decoding
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std::unique_ptr<HwcToChwOp> op(new HwcToChwOp());
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Status status;
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status = op->Compute(input_tensor_, &output_tensor);
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EXPECT_TRUE(op->OneToOne());
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// Saving
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bool success = false;
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if (s[0] == output_tensor->shape()[1] && s[1] == output_tensor->shape()[2] && s[2] == output_tensor->shape()[0]) {
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success = true;
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}
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EXPECT_EQ(success, true);
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MS_LOG(INFO) << "MindDataTestChannelSwap end.";
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}
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