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explaining_framework
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Fixing bug

This commit is contained in:
araison 2022-12-30 19:41:56 +01:00
parent 074ff25c83
commit a7dbba146e
1 changed files with 49 additions and 30 deletions
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79
main.py
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@ -15,19 +15,25 @@ from torch_geometric.graphgym.utils.device import auto_select_device
from explaining_framework.config.explaining_config import explaining_cfg from explaining_framework.config.explaining_config import explaining_cfg
from explaining_framework.utils.explaining.cmd_args import parse_args from explaining_framework.utils.explaining.cmd_args import parse_args
from explaining_framework.utils.explaining.outline import ExplainingOutline from explaining_framework.utils.explaining.outline import ExplainingOutline
from explaining_framework.utils.explanation.adjust import Adjust
from explaining_framework.utils.io import (obj_config_to_str, read_json, from explaining_framework.utils.io import (obj_config_to_str, read_json,
write_json, write_yaml) write_json, write_yaml)
from explaining_framework.utils.explanation.adjust import Adjust
# inference, time, force, # inference, time, force,
def get_pred(explanation,force=False):
def get_pred(explanation, force=False):
dict_ = explanation.to_dict() dict_ = explanation.to_dict()
if dict_.get('pred') is None or dict_.get('pred_masked') or force: if dict_.get("pred") is None or dict_.get("pred_masked") or force:
pred = explainer.get_prediction(explanation) pred = explainer.get_prediction(explanation)
pred_masked = explainer.get_masked_prediction(x=explanation.x,edge_index=explanation.edge_index,node_mask=explanation.node_mask,edge_mask=explanation.edge_mask) pred_masked = explainer.get_masked_prediction(
explanation.__setattr__('pred',pred) x=explanation.x,
explanation.__setattr__('pred_masked',pred_masked) edge_index=explanation.edge_index,
node_mask=explanation.node_mask,
edge_mask=explanation.edge_mask,
)
explanation.__setattr__("pred", pred)
explanation.__setattr__("pred_masked", pred_masked)
return explanation return explanation
else: else:
return explanation return explanation
@ -55,9 +61,12 @@ if __name__ == "__main__":
global_path = os.path.join(explaining_cfg.out_dir, model_signature) global_path = os.path.join(explaining_cfg.out_dir, model_signature)
makedirs(global_path) makedirs(global_path)
write_yaml(cfg, os.path.join(global_path, "config.yaml")) write_yaml(cfg, os.path.join(global_path, "config.yaml"))
write_json(model_info, os.path.join(global_path, "info.json")) write_json(model_info, os.path.join(global_path, "info.json"))
global_path = os.path.join(global_path, explaining_cfg.explainer.name+'_'+obj_config_to_str(explaining_algorithm)) global_path = os.path.join(
global_path,
explaining_cfg.explainer.name + "_" + obj_config_to_str(explaining_algorithm),
)
makedirs(global_path) makedirs(global_path)
write_yaml(explaining_cfg, os.path.join(global_path, explaining_cfg.cfg_dest)) write_yaml(explaining_cfg, os.path.join(global_path, explaining_cfg.cfg_dest))
write_yaml(explainer_cfg, os.path.join(global_path, "explainer_cfg.yaml")) write_yaml(explainer_cfg, os.path.join(global_path, "explainer_cfg.yaml"))
@ -101,40 +110,50 @@ if __name__ == "__main__":
index=item.y, index=item.y,
target=item.y, target=item.y,
) )
explanation = get_pred(explanation,force=False) explanation = get_pred(explanation, force=False)
save_explanation(explanation,explanation_path) save_explanation(explanation, explanation_path)
for apply_relu in [True,False]: for apply_relu in [True, False]:
for apply_absolute in [True,False]: for apply_absolute in [True, False]:
adjust = Adjust(apply_relu=apply_relu,apply_absolute=apply_absolute) adjust = Adjust(apply_relu=apply_relu, apply_absolute=apply_absolute)
save_raw_path = os.path.join(global_path,f'adjust-{obj_config_to_str(adjust)}') save_raw_path = os.path.join(
global_path, f"adjust-{obj_config_to_str(adjust)}"
)
makedirs(save_raw_path) makedirs(save_raw_path)
explanation = adjust.forward(explanation) explanation = adjust.forward(explanation)
explanation_path = os.path.join(save_raw_path, f"{index}.json") explanation_path = os.path.join(save_raw_path, f"{index}.json")
explanation = get_pred(explanation,force=True) explanation = get_pred(explanation, force=True)
save_explanation(explanation,explanation_path) save_explanation(explanation, explanation_path)
for threshold_approach in ['hard','topk','topk_hard']: for threshold_approach in ["hard", "topk", "topk_hard"]:
for threshold_value in explaining_cfg.threshold_config.value: for threshold_value in explaining_cfg.threshold_config.value:
masking_path =os.path.join(save_raw_path,f'threshold={threshold_approach}-value={value}')
exp_threshold_path = os.path.join(masking_path,f'{index}.json')
masking_path = os.path.join(
save_raw_path,
f"threshold={threshold_approach}-value={value}",
)
exp_threshold_path = os.path.join(masking_path, f"{index}.json")
if is_exists(exp_threshold_path): if is_exists(exp_threshold_path):
explanation = load_explanation(exp_threshold_path) explanation = load_explanation(exp_threshold_path)
else: else:
threshold_conf = {'threshold_type':threshold_approach,'value':threshold_value} threshold_conf = {
explainer.threshold_config = ThresholdConfig.cast(threshold_conf) "threshold_type": threshold_approach,
"value": threshold_value,
}
explainer.threshold_config = ThresholdConfig.cast(
threshold_conf
)
expl = copy.copy(explanation) expl = copy.copy(explanation)
exp_threshold = explainer._post_process(expl) exp_threshold = explainer._post_process(expl)
exp_threshold= get_pred(exp_threshold,force=True) exp_threshold = get_pred(exp_threshold, force=True)
save_explanation(exp_threshold,exp_threshold_path) save_explanation(exp_threshold, exp_threshold_path)
for metric in metrics: for metric in metrics:
metric_path =os.path.join(masking_path,f'{obj_config_to_str(metric)}') metric_path = os.path.join(
if is_exists(os.path.join(metric_path,f'{index}.json')): masking_path, f"{obj_config_to_str(metric)}"
)
if is_exists(os.path.join(metric_path, f"{index}.json")):
continue continue
else: else:
out = metric.forward(exp_threshold) out = metric.forward(exp_threshold)
write_json({f'{metric.name}':out}) write_json({f"{metric.name}": out})