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117 lines
4.7 KiB
117 lines
4.7 KiB
/**
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* Copyright 2021 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 "minddata/dataset/engine/datasetops/source/sampler/sampler.h"
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#include "minddata/dataset/engine/ir/datasetops/source/samplers/samplers_ir.h"
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#include "minddata/dataset/core/tensor.h"
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using namespace mindspore::dataset;
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using mindspore::dataset::Tensor;
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class MindDataTestIrSampler : public UT::DatasetOpTesting {
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protected:
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};
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TEST_F(MindDataTestIrSampler, TestCalculateNumSamples) {
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int64_t num_rows = 30; // dummy variable for number of rows in the dataset
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std::shared_ptr<SamplerObj> sampl = std::make_shared<DistributedSamplerObj>(2, 1, false, 6, 1, -1, true);
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EXPECT_NE(sampl, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt;
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sampl->SamplerBuild(&sampler_rt);
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EXPECT_EQ(sampler_rt->CalculateNumSamples(num_rows), 6);
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sampl = std::make_shared<PKSamplerObj>(3, false, 0);
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EXPECT_NE(sampl, nullptr);
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sampl->SamplerBuild(&sampler_rt);
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EXPECT_EQ(sampler_rt->CalculateNumSamples(num_rows), -1);
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sampl = std::make_shared<RandomSamplerObj>(false, 12);
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EXPECT_NE(sampl, nullptr);
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sampl->SamplerBuild(&sampler_rt);
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EXPECT_EQ(sampler_rt->CalculateNumSamples(num_rows), 12);
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sampl = std::make_shared<SequentialSamplerObj>(0, 10);
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EXPECT_NE(sampl, nullptr);
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sampl->SamplerBuild(&sampler_rt);
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EXPECT_EQ(sampler_rt->CalculateNumSamples(num_rows), 10);
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std::vector<double> weights = {0.9, 0.8, 0.68, 0.7, 0.71, 0.6, 0.5, 0.4, 0.3, 0.5, 0.2, 0.1};
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sampl = std::make_shared<WeightedRandomSamplerObj>(weights, 12);
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EXPECT_NE(sampl, nullptr);
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sampl->SamplerBuild(&sampler_rt);
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EXPECT_EQ(sampler_rt->CalculateNumSamples(num_rows), 12);
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std::vector<int64_t> indices = {1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21};
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sampl = std::make_shared<SubsetRandomSamplerObj>(indices, 11);
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EXPECT_NE(sampl, nullptr);
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sampl->SamplerBuild(&sampler_rt);
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EXPECT_EQ(sampler_rt->CalculateNumSamples(num_rows), 11);
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// Testing chains
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// Parent and child have num_samples
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std::shared_ptr<SamplerObj> sampl1 = std::make_shared<WeightedRandomSamplerObj>(weights, 12);
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EXPECT_NE(sampl1, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt1;
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sampl1->SamplerBuild(&sampler_rt1);
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std::shared_ptr<SamplerObj> sampl2 = std::make_shared<SequentialSamplerObj>(0, 10);
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EXPECT_NE(sampl2, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt2;
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sampl2->SamplerBuild(&sampler_rt2);
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sampler_rt2->AddChild(sampler_rt1);
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EXPECT_EQ(sampler_rt2->CalculateNumSamples(num_rows), 10);
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// Parent doesn't have num_samples
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std::shared_ptr<SamplerObj> sampl3 = std::make_shared<WeightedRandomSamplerObj>(weights, 12);
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EXPECT_NE(sampl3, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt3;
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sampl3->SamplerBuild(&sampler_rt3);
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std::shared_ptr<SamplerObj> sampl4 = std::make_shared<SubsetRandomSamplerObj>(indices, 0);
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EXPECT_NE(sampl4, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt4;
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sampl4->SamplerBuild(&sampler_rt4);
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sampler_rt4->AddChild(sampler_rt3);
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EXPECT_EQ(sampler_rt4->CalculateNumSamples(num_rows), 11);
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// Child doesn't have num_samples
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std::shared_ptr<SamplerObj> sampl5 = std::make_shared<RandomSamplerObj>(false, 0);
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EXPECT_NE(sampl5, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt5;
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sampl5->SamplerBuild(&sampler_rt5);
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std::shared_ptr<SamplerObj> sampl6 = std::make_shared<PKSamplerObj>(3, false, 7);
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EXPECT_NE(sampl6, nullptr);
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std::shared_ptr<SamplerRT> sampler_rt6;
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sampl6->SamplerBuild(&sampler_rt6);
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sampler_rt6->AddChild(sampler_rt5);
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EXPECT_EQ(sampler_rt6->CalculateNumSamples(num_rows), -1);
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}
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TEST_F(MindDataTestIrSampler, TestSamplersMoveParameters) {
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std::vector<int64_t> indices = {1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23};
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std::shared_ptr<SamplerObj> sampl1 = std::make_shared<SubsetRandomSamplerObj>(indices, 0);
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EXPECT_FALSE(indices.empty());
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std::shared_ptr<SamplerRT> sampler_rt = nullptr;
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sampl1->SamplerBuild(&sampler_rt);
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EXPECT_NE(sampler_rt, nullptr);
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std::shared_ptr<SamplerObj> sampl2 = std::make_shared<SubsetRandomSamplerObj>(std::move(indices), 0);
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EXPECT_TRUE(indices.empty());
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std::shared_ptr<SamplerRT> sampler_rt2 = nullptr;
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sampl2->SamplerBuild(&sampler_rt2);
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EXPECT_NE(sampler_rt, nullptr);
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}
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