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graphengine/ge/hybrid/node_executor/task_context.h

122 lines
4.0 KiB

/**
* Copyright 2019-2020 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef GE_HYBRID_KERNEL_TASK_CONTEXT_H_
#define GE_HYBRID_KERNEL_TASK_CONTEXT_H_
#include <map>
#include <mutex>
#include <vector>
#include "common/properties_manager.h"
#include "external/ge/ge_api_error_codes.h"
#include "hybrid/common/tensor_value.h"
#include "hybrid/common/npu_memory_allocator.h"
#include "hybrid/executor/rt_callback_manager.h"
#include "hybrid/model/node_item.h"
namespace ge {
namespace hybrid {
class GraphExecutionContext;
class SubgraphContext;
class TaskContext {
public:
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static std::unique_ptr<TaskContext> Create(const NodeItem &node_item,
GraphExecutionContext *execution_context,
SubgraphContext *subgraph_context);
~TaskContext();
int NumInputs() const;
int NumOutputs() const;
size_t NumWorkspaces() const;
const NodeItem &GetNodeItem() const;
const char *GetNodeName() const;
TensorValue *MutableInput(int index);
ConstGeTensorDescPtr GetInputDesc(int index) const;
ConstGeTensorDescPtr GetOutputDesc(int index) const;
GeTensorDescPtr MutableInputDesc(int index) const;
GeTensorDescPtr MutableOutputDesc(int index) const;
void ReleaseInput(int index);
const TensorValue *GetInput(int index) const;
const TensorValue *GetOutput(int index) const;
TensorValue *MutableOutput(int index);
TensorValue *GetVariable(const std::string &name);
rtStream_t GetStream();
int64_t GetSessionId() const;
uint64_t GetIterationNumber() const;
void NodeDone();
void OnError(Status error);
Status SetOutput(int index, const TensorValue &tensor);
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Status AllocateOutput(int index,
const GeTensorDesc &tensor_desc,
TensorValue **tensor,
AllocationAttr *attr = nullptr);
Status AllocateOutputs(AllocationAttr *attr = nullptr);
Status AllocateWorkspaces();
Status AllocateWorkspace(size_t size, void **buffer, void *ori_addr = nullptr);
bool IsTraceEnabled() const;
bool IsDumpEnabled() const;
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const DumpProperties& GetDumpProperties() const;
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const GraphExecutionContext *GetExecutionContext() {
return execution_context_;
}
Status AllocateTensor(size_t size, TensorValue &tensor, AllocationAttr *attr = nullptr);
void *MutableWorkspace(int index);
const void *GetVarBaseAddr();
Status RegisterCallback(const std::function<void()> &callback_fun) const;
Status TryExecuteCallback(const std::function<void()> &callback_fun) const;
Status PropagateOutputs();
Status GetStatus() const;
void SetStatus(Status status);
bool IsForceInferShape() const;
void SetForceInferShape(bool force_infer_shape);
void *handle_ = nullptr;
private:
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TaskContext(GraphExecutionContext *execution_context,
const NodeItem *node_item,
SubgraphContext *subgraph_context);
static string TensorDesc2String(const GeTensorDesc &desc);
Status AllocateTensor(const GeTensorDesc &tensor_desc, TensorValue &tensor, AllocationAttr *attr);
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const NodeItem *node_item_ = nullptr;
bool force_infer_shape_ = false;
GraphExecutionContext *execution_context_;
SubgraphContext *subgraph_context_;
TensorValue *inputs_start_ = nullptr;
TensorValue *outputs_start_ = nullptr;
Status status_ = SUCCESS;
std::vector<void *> workspaces_;
uint64_t iteration_ = 0;
};
} // namespace hybrid
} // namespace ge
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#endif // GE_HYBRID_KERNEL_TASK_CONTEXT_H_