mindspore-ci-bot
5 years ago
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Gitee
commit
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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 "dataset/engine/datasetops/source/sampler/subset_sampler.h"
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#include <memory>
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#include <string>
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#include "dataset/core/config_manager.h"
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#include "dataset/core/global_context.h"
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namespace mindspore {
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namespace dataset {
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// Constructor.
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SubsetSampler::SubsetSampler(int64_t start_index, int64_t subset_size)
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: Sampler(subset_size), start_index_(start_index), subset_size_(subset_size), current_id_(0) {}
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Status SubsetSampler::InitSampler() {
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CHECK_FAIL_RETURN_UNEXPECTED(subset_size_ > 0, "subset_size_ <= 0\n");
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CHECK_FAIL_RETURN_UNEXPECTED(start_index_ >= 0, "start_index < 0\n");
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CHECK_FAIL_RETURN_UNEXPECTED(start_index_ < num_rows_, "start_index >= num_rows_\n");
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CHECK_FAIL_RETURN_UNEXPECTED(start_index_ + subset_size_ - 1 < num_rows_, "Final index out of bounds.\n");
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num_samples_ = subset_size_;
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return Status::OK();
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}
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Status SubsetSampler::Reset() {
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current_id_ = 0;
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if (HasChildSampler()) {
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RETURN_IF_NOT_OK(child_[0]->Reset());
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}
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return Status::OK();
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}
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Status SubsetSampler::GetNextBuffer(std::unique_ptr<DataBuffer> *out_buffer) {
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if (current_id_ > subset_size_) {
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RETURN_STATUS_UNEXPECTED("SubsetSampler Internal Error");
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} else if (current_id_ == subset_size_) {
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(*out_buffer) = std::make_unique<DataBuffer>(0, DataBuffer::kDeBFlagEOE);
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} else {
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if (HasChildSampler()) {
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RETURN_IF_NOT_OK(child_[0]->GetNextBuffer(&child_ids_));
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}
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(*out_buffer) = std::make_unique<DataBuffer>(0, DataBuffer::kDeBFlagNone);
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std::shared_ptr<Tensor> sampled_ids;
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RETURN_IF_NOT_OK(CreateSamplerTensor(&sampled_ids, subset_size_));
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int64_t *sampled_ids_start_addr = reinterpret_cast<int64_t *>(sampled_ids->GetMutableBuffer());
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while (current_id_ < subset_size_) {
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int64_t sampled_id = start_index_ + current_id_;
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if (HasChildSampler()) {
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RETURN_IF_NOT_OK(GetAssociatedChildId(&sampled_id, sampled_id));
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}
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*(sampled_ids_start_addr + current_id_) = sampled_id;
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current_id_++;
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}
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TensorRow sampled_ids_row(1, sampled_ids);
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(*out_buffer)->set_tensor_table(std::make_unique<TensorQTable>(1, sampled_ids_row));
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}
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return Status::OK();
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}
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} // namespace dataset
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} // namespace mindspore
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@ -0,0 +1,58 @@
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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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#ifndef DATASET_ENGINE_DATASETOPS_SOURCE_SAMPLER_SUBSET_SAMPLER_H_
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#define DATASET_ENGINE_DATASETOPS_SOURCE_SAMPLER_SUBSET_SAMPLER_H_
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#include <memory>
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#include <vector>
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#include "dataset/engine/datasetops/source/sampler/sampler.h"
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namespace mindspore {
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namespace dataset {
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class SubsetSampler : public Sampler {
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public:
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// Constructor.
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// @param start_index The index we start sampling from.
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explicit SubsetSampler(int64_t start_index, int64_t subset_size);
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// Destructor.
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~SubsetSampler() = default;
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// Initialize the sampler.
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// @return Status
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Status InitSampler() override;
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// Reset the internal variable to the initial state and reshuffle the indices.
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// @return Status
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Status Reset() override;
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// Get the sample ids.
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// @param[out] out_buffer The address of a unique_ptr to DataBuffer where the sample ids will be placed.
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// @note the sample ids (int64_t) will be placed in one Tensor.
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Status GetNextBuffer(std::unique_ptr<DataBuffer> *out_buffer) override;
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private:
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int64_t start_index_;
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int64_t subset_size_;
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int64_t current_id_;
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};
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} // namespace dataset
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} // namespace mindspore
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#endif // DATASET_ENGINE_DATASETOPS_SOURCE_SAMPLER_SUBSET_SAMPLER_H_
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