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delegate_main.h
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delegate_main.h
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/****************************************************************************
*
* Copyright (c) 2021 Vivante Corporation
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/
#ifndef TENSORFLOW_LITE_DELEGATES_VX_DELEGAGE_DELEGATE_MAIN_H
#define TENSORFLOW_LITE_DELEGATES_VX_DELEGAGE_DELEGATE_MAIN_H
#include <map>
#include <memory>
#include <string>
#include <vector>
#include <fstream>
#include "absl/types/optional.h"
#include "vsi_npu_custom_op.h"
#include "tensorflow/lite/builtin_op_data.h"
#include "tensorflow/lite/builtin_ops.h"
#include "tensorflow/lite/context.h"
#include "tensorflow/lite/interpreter.h"
#include "tim/vx/context.h"
#include "tim/vx/graph.h"
#include "tim/vx/operation.h"
#include "tim/vx/tensor.h"
#ifdef MULTI_DEVICE_FEATURE_MODE
#include "tim/vx/platform/platform.h"
#include "tim/vx/platform/native.h"
#endif
namespace vx {
namespace delegate {
typedef struct {
//Allowed save or load nbg binary
bool allowed_cache_mode;
//Device in multi device mode
int32_t device_id;
//nbg binary path
std::string cache_file_path;
// Allowed ops to delegate.
int allowed_builtin_code;
// Report error during init.
bool error_during_init;
// Report error during prepare.
bool error_during_prepare;
// Report error during invoke.
bool error_during_invoke;
} VxDelegateOptions;
#ifdef NODE_TRACE_DB_MODE
typedef struct
{
//tflite node unique id
std::vector<int> inputs;
std::vector<int> outputs;
int builtin_code;
//tim wx node uid
std::vector<uint32_t> op_uids;
}TfliteNodeIDPair;
#endif
class Delegate;
struct OpData {
std::vector<int> subgraph_inputs;
std::vector<int> subgraph_outputs;
std::vector<int> subgraph_states;
std::unique_ptr<Delegate> delegate;
};
struct DerivedDelegateData {
TfLiteDelegate parent;
bool allow_cache_mode;
int32_t device_id;
std::string cache_path;
};
TfLiteDelegate* VxDelegate(const VxDelegateOptions* options);
VxDelegateOptions VxDelegateOptionsDefault();
TfLiteDelegate* VxDelegateCreate(const VxDelegateOptions* options);
void VxDelegateDelete(TfLiteDelegate* delegate);
class Delegate {
public:
static TfLiteDelegate* Create(const VxDelegateOptions* options);
static bool SupportedOp(TfLiteContext* context,
TfLiteNode* node,
const TfLiteRegistration* registration);
Delegate();
~Delegate() {}
std::unique_ptr<OpData> Init(TfLiteContext* context,
const TfLiteDelegateParams* params);
TfLiteStatus Prepare(const OpData& op_data,
TfLiteContext* context,
TfLiteNode* node);
TfLiteStatus Invoke(const OpData& op_data,
TfLiteContext* context,
TfLiteNode* node);
void CreateCacheOp(const OpData& op_data);
std::vector<std::shared_ptr<tim::vx::Operation>>& GetOps() { return ops_; }
int GetOperationOutput(uint32_t index) { return op_info_.outputs[index]; }
int GetGraphOutput(uint32_t index) { return subgraph_outputs_[index]; }
std::shared_ptr<tim::vx::Graph>& GetGraph() { return graph_; }
std::map<int32_t, std::shared_ptr<tim::vx::Tensor>>& GetTensors() {
return tensors_;
}
std::shared_ptr<tim::vx::Operation> postproc_;
std::map<std::shared_ptr<tim::vx::Tensor>,std::shared_ptr<tim::vx::Tensor>> map_BroadcastTo;
private:
struct OperationDataType {
int builtin_code;
std::string custom_name;
std::vector<int> inputs;
std::vector<int> outputs;
std::vector<int> states;
std::vector<uint8_t> builtin_data;
};
#ifdef MULTI_DEVICE_FEATURE_MODE
std::vector<std::shared_ptr<tim::vx::platform::IDevice>> devices_;
std::shared_ptr<tim::vx::platform::IExecutor> executor_;
std::shared_ptr<tim::vx::platform::IExecutable> executable_;
std::vector<std::shared_ptr<tim::vx::platform::ITensorHandle>> inputs_;
std::vector<std::shared_ptr<tim::vx::platform::ITensorHandle>> outputs_;
#endif
std::shared_ptr<tim::vx::Context> context_;
std::shared_ptr<tim::vx::Graph> graph_;
//first: layout infered graph; second: map from src_tensor to infered_tensor.
std::pair<std::shared_ptr<tim::vx::Graph>,
std::map<std::shared_ptr<tim::vx::Tensor>,
std::shared_ptr<tim::vx::Tensor>>> layout_infered_;
std::map<int32_t, std::shared_ptr<tim::vx::Tensor>> tensors_;
int32_t placeholder_tensor_idx_{-2};
std::map<int32_t, std::shared_ptr<tim::vx::Tensor>> state_tensors_;
std::vector<std::shared_ptr<tim::vx::Operation>> ops_;
std::vector<OperationDataType> operations_;
struct OperationDataType op_info_;
bool compiled_;
std::vector<int> subgraph_outputs_;
absl::optional<bool> is_cache_present_;
uint32_t device_id_;
size_t nbg_size_;
std::fstream fs_;
};
} // namespace delegate
} // namespace vx
#endif /* TENSORFLOW_LITE_DELEGATES_VX_DELEGAGE_DELEGATE_MAIN_H */