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91 lines
3.1 KiB
91 lines
3.1 KiB
/**
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* Copyright 2019-2020 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 GE_SINGLE_OP_SINGLE_OP_H_
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#define GE_SINGLE_OP_SINGLE_OP_H_
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#include <cstdint>
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#include <memory>
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#include <mutex>
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#include <string>
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#include <vector>
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#include "common/ge_inner_error_codes.h"
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#include "framework/executor/ge_executor.h"
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#include "runtime/stream.h"
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#include "task/op_task.h"
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#include "cce/aicpu_engine_struct.h"
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#include "hybrid/executor/hybrid_model_executor.h"
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namespace ge {
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class StreamResource;
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struct SingleOpModelParam;
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class SingleOp {
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public:
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SingleOp(StreamResource *stream_resource, std::mutex *stream_mutex, rtStream_t stream);
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~SingleOp();
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Status ExecuteAsync(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
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void SetStream(rtStream_t stream);
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private:
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Status ValidateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
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Status UpdateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
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Status GetArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
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friend class SingleOpModel;
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StreamResource *stream_resource_ = nullptr;
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std::mutex *stream_mutex_;
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rtStream_t stream_ = nullptr;
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std::vector<void *> input_addr_list_;
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std::vector<size_t> input_sizes_;
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std::vector<void *> output_addr_list_;
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std::vector<size_t> output_sizes_;
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std::vector<uintptr_t> args_;
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std::vector<OpTask *> tasks_;
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std::vector<std::vector<uintptr_t *>> arg_table_;
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std::unique_ptr<SingleOpModelParam> running_param_;
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};
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class DynamicSingleOp {
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public:
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DynamicSingleOp(uintptr_t resource_id, std::mutex *stream_mutex_, rtStream_t stream);
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~DynamicSingleOp() = default;
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Status ExecuteAsync(const vector<GeTensorDesc> &input_desc,
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const std::vector<DataBuffer> &inputs,
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std::vector<GeTensorDesc> &output_desc,
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std::vector<DataBuffer> &outputs);
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private:
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friend class SingleOpModel;
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Status ValidateParams(const vector<GeTensorDesc> &input_desc,
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const std::vector<DataBuffer> &inputs,
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std::vector<GeTensorDesc> &output_desc,
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std::vector<DataBuffer> &outputs) const;
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std::unique_ptr<OpTask> op_task_;
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std::unique_ptr<hybrid::HybridModel> hybrid_model_;
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std::unique_ptr<hybrid::HybridModelExecutor> hybrid_model_executor_;
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uintptr_t resource_id_ = 0;
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std::mutex *stream_mutex_;
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rtStream_t stream_ = nullptr;
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size_t num_inputs_ = 0;
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size_t num_outputs_ = 0;
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};
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} // namespace ge
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#endif // GE_SINGLE_OP_SINGLE_OP_H_
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