openvino/docs/template_plugin/backend/int_executable.hpp

90 lines
3.2 KiB
C++

// Copyright (C) 2018-2022 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#pragma once
#include <initializer_list>
#include <iostream>
#include <memory>
#include <ngraph/runtime/host_tensor.hpp>
#include <sstream>
#include <string>
#include <vector>
#include "backend.hpp"
#include "ngraph/ops.hpp"
#include "ngraph/runtime/aligned_buffer.hpp"
#include "ngraph/runtime/reference/hard_sigmoid.hpp"
#include "ngraph/runtime/reference/non_max_suppression.hpp"
#include "ngraph/runtime/reference/reorg_yolo.hpp"
#include "ngraph/runtime/reference/tensor_iterator.hpp"
#include "ngraph/runtime/tensor.hpp"
namespace ngraph {
namespace runtime {
namespace interpreter {
class INTBackend;
class INTExecutable;
} // namespace interpreter
} // namespace runtime
} // namespace ngraph
class ngraph::runtime::interpreter::INTExecutable : public Executable {
friend class INTBackend;
public:
INTExecutable(const std::shared_ptr<Function>& function, bool enable_performance_collection = false);
bool call(const std::vector<std::shared_ptr<Tensor>>& outputs,
const std::vector<std::shared_ptr<Tensor>>& inputs) override;
void set_nan_check(bool enable);
std::vector<PerformanceCounter> get_performance_data() const override;
std::shared_ptr<runtime::Tensor> create_input_tensor(size_t input_index) override;
std::shared_ptr<runtime::Tensor> create_output_tensor(size_t output_index) override;
std::vector<std::shared_ptr<runtime::Tensor>> create_input_tensor(size_t input_index,
size_t pipeline_depth) override;
std::vector<std::shared_ptr<runtime::Tensor>> create_output_tensor(size_t output_index,
size_t pipeline_depth) override;
protected:
std::shared_ptr<ngraph::op::Parameter> get_parameter(size_t index) const;
std::shared_ptr<ngraph::op::Result> get_result(size_t index) const;
bool evaluate_node(const std::shared_ptr<Node>& node,
const HostTensorVector& outputs,
const HostTensorVector& inputs) const;
bool m_is_compiled = false;
bool m_nan_check_enabled = false;
bool m_performance_counters_enabled = false;
std::shared_ptr<Function> m_function;
NGRAPH_SUPPRESS_DEPRECATED_START
std::unordered_map<std::shared_ptr<const Node>, stopwatch> m_timer_map;
NGRAPH_SUPPRESS_DEPRECATED_END
std::vector<std::shared_ptr<Node>> m_nodes;
static void perform_nan_check(const std::vector<std::shared_ptr<HostTensor>>&, const Node* op = nullptr);
struct InfoForNMS5 {
int64_t max_output_boxes_per_class;
float iou_threshold;
float score_threshold;
float soft_nms_sigma;
Shape out_shape;
Shape boxes_shape;
Shape scores_shape;
std::vector<float> boxes_data;
std::vector<float> scores_data;
size_t out_shape_size;
bool sort_result_descending;
ngraph::element::Type output_type;
};
InfoForNMS5 get_info_for_nms5_eval(const op::v5::NonMaxSuppression* nms5,
const std::vector<std::shared_ptr<HostTensor>>& inputs);
};