forked from mindspore-Ecosystem/mindspore
84 lines
2.5 KiB
C++
84 lines
2.5 KiB
C++
/**
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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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#ifndef INC_MODEL_PROCESS_ACL
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#define INC_MODEL_PROCESS_ACL
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#include <vector>
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#include <string>
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#include "acl/acl.h"
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#include "acl/acl_mdl.h"
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#include "acl/acl_rt.h"
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#include "include/inference.h"
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namespace mindspore {
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namespace inference {
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struct AclTensorInfo {
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void *device_data;
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size_t buffer_size;
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aclDataType data_type;
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std::vector<int64_t> dims;
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};
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struct ImagesDvppOutput {
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void *buffer_device = nullptr;
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size_t buffer_size = 0;
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size_t input_index = 0;
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};
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class ModelProcess {
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public:
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ModelProcess() {}
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~ModelProcess() {}
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Status LoadModelFromFile(const std::string &file_name, uint32_t &model_id);
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void UnLoad();
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// override this method to avoid request/reply data copy
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Status Execute(const RequestBase &request, ReplyBase &reply);
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Status Execute(const void *dvpp_outputs_buffer_dev, size_t dvpp_outputs_buffer_size, ReplyBase &reply);
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void SetIsDevice(bool is_device) { is_run_on_device_ = is_device; }
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size_t GetBatchSize() const;
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private:
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uint32_t model_id_ = 0xffffffff;
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// if run one device(AICPU), there is no need to alloc device memory and copy inputs to(/outputs from) device
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bool is_run_on_device_ = false;
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aclmdlDesc *model_desc_ = nullptr;
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aclmdlDataset *inputs_ = nullptr;
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aclmdlDataset *outputs_ = nullptr;
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std::vector<AclTensorInfo> input_infos_;
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std::vector<AclTensorInfo> output_infos_;
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Status PreInitModelResource();
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Status CreateDataBuffer(void *&data_mem_buffer, size_t buffer_size, aclmdlDataset *dataset);
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Status CheckAndInitInput(const RequestBase &request);
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Status CheckAndInitDvppInput(const void *dvpp_outputs_buffer_dev, size_t dvpp_outputs_buffer_size,
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size_t input_index);
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Status BuildOutputs(ReplyBase &reply);
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Status InitInputsBuffer();
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Status InitOutputsBuffer();
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void DestroyInputsDataset();
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void DestroyInputsDataMem();
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void DestroyInputsBuffer();
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void DestroyOutputsBuffer();
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};
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} // namespace inference
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} // namespace mindspore
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#endif
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