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70 lines
2.7 KiB
70 lines
2.7 KiB
/**
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* Copyright 2020 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/mixup_batch_op.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 MindDataTestMixUpBatchOp : public UT::CVOP::CVOpCommon {
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protected:
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MindDataTestMixUpBatchOp() : CVOpCommon() {}
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std::shared_ptr<Tensor> output_tensor_;
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};
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TEST_F(MindDataTestMixUpBatchOp, TestSuccess) {
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MS_LOG(INFO) << "Doing MindDataTestMixUpBatchOp success case";
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std::shared_ptr<Tensor> batched_tensor;
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std::shared_ptr<Tensor> batched_labels;
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Tensor::CreateEmpty(TensorShape({2, input_tensor_->shape()[0], input_tensor_->shape()[1], input_tensor_->shape()[2]}), input_tensor_->type(), &batched_tensor);
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for (int i = 0; i < 2; i++) {
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batched_tensor->InsertTensor({i}, input_tensor_);
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}
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Tensor::CreateFromVector(std::vector<uint32_t>({0, 1, 1, 0}), TensorShape({2, 2}), &batched_labels);
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std::shared_ptr<MixUpBatchOp> op = std::make_shared<MixUpBatchOp>(1);
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TensorRow in;
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in.push_back(batched_tensor);
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in.push_back(batched_labels);
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TensorRow out;
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ASSERT_TRUE(op->Compute(in, &out).IsOk());
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EXPECT_EQ(in.at(0)->shape()[0], out.at(0)->shape()[0]);
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EXPECT_EQ(in.at(0)->shape()[1], out.at(0)->shape()[1]);
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EXPECT_EQ(in.at(0)->shape()[2], out.at(0)->shape()[2]);
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EXPECT_EQ(in.at(0)->shape()[3], out.at(0)->shape()[3]);
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EXPECT_EQ(in.at(1)->shape()[0], out.at(1)->shape()[0]);
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EXPECT_EQ(in.at(1)->shape()[1], out.at(1)->shape()[1]);
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}
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TEST_F(MindDataTestMixUpBatchOp, TestFail) {
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// This is a fail case because our labels are not batched and are 1-dimensional
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MS_LOG(INFO) << "Doing MindDataTestMixUpBatchOp fail case";
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std::shared_ptr<Tensor> labels;
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Tensor::CreateFromVector(std::vector<uint32_t>({0, 1, 1, 0}), TensorShape({4}), &labels);
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std::shared_ptr<MixUpBatchOp> op = std::make_shared<MixUpBatchOp>(1);
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TensorRow in;
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in.push_back(input_tensor_);
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in.push_back(labels);
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TensorRow out;
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ASSERT_FALSE(op->Compute(in, &out).IsOk());
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}
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