forked from huawei/mindspore2022
101 lines
3.2 KiB
C++
101 lines
3.2 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 MINDSPORE_CCSRC_DEBUG_DEBUG_SERVICES_H_
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#define MINDSPORE_CCSRC_DEBUG_DEBUG_SERVICES_H_
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#include <math.h>
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#include <vector>
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#include <string>
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#include <memory>
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#include <tuple>
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#include <unordered_map>
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#include <mutex>
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#include "debug/tensor_load.h"
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#include "debug/tensor_data.h"
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#include "ir/dtype.h"
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namespace mindspore {
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class DebugServices {
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public:
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DebugServices();
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DebugServices(const DebugServices &other);
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DebugServices &operator=(const DebugServices &other);
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~DebugServices();
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typedef struct condition_no_param {
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bool enabled = false;
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} condition_no_param_t;
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typedef struct condition_with_param {
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bool enabled = false;
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float parameter = 0;
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} condition_with_param_t;
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typedef struct conditions {
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condition_no_param_t inf;
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condition_no_param_t neg_inf;
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condition_no_param_t nan;
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condition_with_param_t max_below;
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condition_with_param_t max_above;
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condition_with_param_t min_below;
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condition_with_param_t min_above;
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condition_with_param_t max_minus_min_below;
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condition_with_param_t max_minus_min_above;
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condition_with_param_t mean_below;
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condition_with_param_t mean_above;
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condition_with_param_t std_dev_below;
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condition_with_param_t std_dev_above;
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} conditions_t;
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typedef struct watchpoint {
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unsigned int id;
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conditions_t conditions;
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std::vector<std::tuple<std::string, bool>> check_node_list;
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} watchpoint_t;
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void AddWatchpoint(unsigned int id, unsigned int watch_condition,
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const std::vector<std::tuple<std::string, bool>> &check_node_list);
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void RemoveWatchpoint(unsigned int id);
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void CheckWatchpoints(std::vector<std::string> *name, std::vector<std::string> *slot, std::vector<char *> *data_ptr,
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std::vector<unsigned int> *data_size, std::vector<int> *condition,
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std::vector<unsigned int> *wacthpoint_id);
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void ReadNodesTensors(std::vector<std::string> name, std::vector<std::string> *ret_name,
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std::vector<char *> *data_ptr, std::vector<unsigned int> *data_size,
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std::vector<TypePtr> *dtype, std::vector<std::vector<int>> *shape);
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bool IsWatchPoint(std::string kernel_name, std::unordered_map<unsigned int, watchpoint_t> watchpoint_table);
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TensorLoader *tensor_loader() const;
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std::unordered_map<unsigned int, watchpoint_t> GetWatchpointTable();
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private:
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std::mutex lock_;
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std::unordered_map<unsigned int, watchpoint_t> watchpoint_table;
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TensorLoader *tensor_loader_;
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};
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_DEBUG_DEBUG_SERVICES_H_
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