!5737 Add support for more watchpoint conditions in debugger.

Merge pull request !5737 from HarshvardhanGupta/add-new-wp
pull/5737/MERGE
mindspore-ci-bot 5 years ago committed by Gitee
commit 8fe3cf6991

File diff suppressed because it is too large Load Diff

@ -23,6 +23,7 @@
#include <tuple>
#include <unordered_map>
#include <mutex>
#include <limits>
#include "debug/tensor_load.h"
#include "debug/tensor_data.h"
#include "ir/dtype.h"
@ -38,39 +39,91 @@ class DebugServices {
~DebugServices();
typedef struct condition_no_param {
bool enabled = false;
} condition_no_param_t;
typedef struct condition_with_param {
bool enabled = false;
enum CONDITION_TYPE {
HAS_NAN,
HAS_INF,
IS_OVERFLOW,
MAX_GT,
MAX_LT,
MIN_GT,
MIN_LT,
MAX_MIN_GT,
MAX_MIN_LT,
MEAN_GT,
MEAN_LT,
SD_GT,
SD_LT
};
typedef struct condition {
CONDITION_TYPE type;
float parameter = 0;
} condition_with_param_t;
typedef struct conditions {
condition_no_param_t inf;
condition_no_param_t neg_inf;
condition_no_param_t nan;
condition_no_param_t overflow;
condition_with_param_t max_below;
condition_with_param_t max_above;
condition_with_param_t min_below;
condition_with_param_t min_above;
condition_with_param_t max_minus_min_below;
condition_with_param_t max_minus_min_above;
condition_with_param_t mean_below;
condition_with_param_t mean_above;
condition_with_param_t std_dev_below;
condition_with_param_t std_dev_above;
} conditions_t;
std::string comparison;
} condition_t;
typedef struct watchpoint {
unsigned int id;
conditions_t conditions;
condition_t condition;
std::vector<std::tuple<std::string, bool>> check_node_list;
size_t location = 0;
bool IsNodeIncluded(const std::string &tensor_name) {
std::string node_name = tensor_name.substr(0, tensor_name.find_first_of(':'));
for (auto check_node : check_node_list) {
std::string w_name = std::get<0>(check_node);
bool w_type = std::get<1>(check_node);
if ((w_type && (tensor_name.find(w_name) == location || w_name == "*")) || (!w_type && node_name == w_name)) {
return true;
}
}
return false;
}
bool min_max_enabled() {
return condition.type == MAX_LT || condition.type == MAX_GT || condition.type == MIN_LT ||
condition.type == MIN_GT || condition.type == MAX_MIN_LT || condition.type == MAX_MIN_GT;
}
// inf or nan related condition set
bool inf_nan_enabled() { return condition.type == HAS_INF || condition.type == HAS_NAN; }
// mean or sd related condition set
bool mean_sd_enabled() {
return condition.type == MEAN_LT || condition.type == MEAN_GT || condition.type == SD_LT ||
condition.type == SD_GT;
}
} watchpoint_t;
void AddWatchpoint(unsigned int id, unsigned int watch_condition,
struct tensor_stats {
float min = std::numeric_limits<float>::max();
float max = std::numeric_limits<float>::lowest();
bool has_inf = false;
bool has_nan = false;
unsigned int n = 0;
float mean = 0.0;
float m2 = 0.0;
float statLookup(CONDITION_TYPE type) const {
if (type == MAX_GT || type == MAX_LT) return max;
if (type == MIN_GT || type == MIN_LT) return min;
if (type == MAX_MIN_GT || type == MAX_MIN_LT) return (max - min);
if (type == MEAN_GT || type == MEAN_LT) return mean;
if (type == SD_GT || type == SD_LT) return getStandardDeviation();
return std::numeric_limits<float>::quiet_NaN();
}
float getMean() const { return mean; }
float getVariance() const {
if (n > 1) {
return m2 / (n - 1);
} else {
return 0.0;
}
}
float getStandardDeviation() const { return sqrt(getVariance()); }
};
void AddWatchpoint(unsigned int id, unsigned int watch_condition, float parameter,
const std::vector<std::tuple<std::string, bool>> &check_node_list);
void RemoveWatchpoint(unsigned int id);
@ -93,14 +146,13 @@ class DebugServices {
std::mutex lock_;
std::unordered_map<unsigned int, watchpoint_t> watchpoint_table;
std::vector<std::string> condition_label = {"HAS_NAN", "HAS_INF", "IS_OVERFLOW", "MAX_GT", "MAX_LT",
"MIN_GT", "MIN_LT", "MAX_MIN_GT", "MAX_MIN_LT", "MEAN_GT",
"MEAN_LT", "SD_GT", "SD_LT"};
TensorLoader *tensor_loader_;
void HandleWatchpointHits(const std::vector<unsigned int> &hit_encountered, std::vector<std::string> *name,
std::vector<std::string> *slot, std::vector<int> *condition,
std::vector<unsigned int> *watchpoint_id, std::string current_tensor_name,
std::unordered_map<unsigned int, watchpoint_t> *watchpoints_to_check_table,
std::string tensor_slot);
static tensor_stats SummarizeTensor(const float *start, unsigned int n, bool need_min_max, bool need_mean_sd);
};
} // namespace mindspore

@ -84,14 +84,19 @@ message WatchCondition {
nan = 0;
inf = 1;
overflow = 2;
ge = 3; // greater than and equal to
gt = 4; // greater than
le = 5; // less than and equal to
lt = 6; // less than
between = 7; // between
max_gt = 3;
max_lt = 4;
min_gt = 5;
min_lt = 6;
max_min_gt = 7;
max_min_lt = 8;
mean_gt = 9;
mean_lt = 10;
sd_gt = 11;
sd_lt = 12;
}
Condition condition = 1;
repeated float value = 2; // for between condition, there will be two values
float value = 2; // for between condition, there will be two values
repeated bool include = 3; // for between condition, define the value is included or not
}

@ -493,7 +493,7 @@ void Debugger::SetWatchpoint(const ProtoVector<WatchNode> &nodes, const WatchCon
[](WatchNode node) -> std::tuple<std::string, bool> {
return make_tuple(node.node_name(), node.node_type() == "scope");
});
debug_services_->AddWatchpoint(id, condition.condition(), check_node_list);
debug_services_->AddWatchpoint(id, condition.condition(), condition.value(), check_node_list);
}
void Debugger::RemoveWatchpoint(const int32_t id) { debug_services_->RemoveWatchpoint(id); }

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