109 lines
4.7 KiB
Python
109 lines
4.7 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#
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import copy
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import logging
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import os
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import torch
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from torch_geometric import seed_everything
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from torch_geometric.data.makedirs import makedirs
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from torch_geometric.explain import Explainer
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from torch_geometric.explain.config import ThresholdConfig
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from torch_geometric.graphgym.config import cfg
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from torch_geometric.graphgym.utils.device import auto_select_device
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from tqdm import tqdm
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from explaining_framework.config.explaining_config import explaining_cfg
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from explaining_framework.utils.explaining.cmd_args import parse_args
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from explaining_framework.utils.explaining.outline import ExplainingOutline
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from explaining_framework.utils.explanation.adjust import Adjust
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from explaining_framework.utils.io import (dump_cfg, is_exists,
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obj_config_to_str, read_json,
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set_printing, write_json)
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if __name__ == "__main__":
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args = parse_args()
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outline = ExplainingOutline(args.explaining_cfg_file, args.gpu_id)
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for attack in outline.attacks:
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logging.info("Running %s: %s" % (attack.__class__.__name__, attack.name))
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for item, index in tqdm(
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zip(outline.dataset, outline.indexes), total=len(outline.dataset)
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):
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item = item.to(outline.cfg.accelerator)
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attack_path = os.path.join(
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outline.out_dir, attack.__class__.__name__, obj_config_to_str(attack)
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)
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makedirs(attack_path)
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data_attack_path = os.path.join(attack_path, f"{index}.json")
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data_attack = outline.get_attack(
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attack=attack, item=item, path=data_attack_path
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)
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for attack in outline.attacks:
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logging.info("Running %s: %s" % (attack.__class__.__name__, attack.name))
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logging.info(
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"Running %s: %s"
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% (outline.explainer.__class__.__name__, outline.explaining_algorithm.name),
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)
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for item, index in tqdm(
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zip(outline.dataset, outline.indexes), total=len(outline.dataset)
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):
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item = item.to(outline.cfg.accelerator)
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attack_path_ = os.path.join(
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outline.explainer_path,
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attack.__class__.__name__,
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obj_config_to_str(attack),
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)
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makedirs(attack_path_)
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data_attack_path_ = os.path.join(attack_path_, f"{index}.json")
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attack_data = outline.get_attack(
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attack=attack, item=item, path=data_attack_path_
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)
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if attack_data is None:
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continue
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exp = outline.get_explanation(item=attack_data, path=data_attack_path_)
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if exp is None:
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continue
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else:
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for adjust in outline.adjusts:
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adjust_path = os.path.join(
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attack_path_,
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adjust.__class__.__name__,
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obj_config_to_str(adjust),
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)
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makedirs(adjust_path)
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exp_adjust_path = os.path.join(adjust_path, f"{index}.json")
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exp_adjust = outline.get_adjust(
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adjust=adjust, item=exp, path=exp_adjust_path
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)
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for threshold_conf in outline.thresholds_configs:
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outline.set_explainer_threshold_config(threshold_conf)
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masking_path = os.path.join(
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adjust_path,
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"ThresholdConfig",
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obj_config_to_str(threshold_conf),
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)
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makedirs(masking_path)
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exp_masked_path = os.path.join(masking_path, f"{index}.json")
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exp_masked = outline.get_threshold(
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item=exp_adjust, path=exp_masked_path
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)
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if exp_masked is None:
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continue
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else:
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for metric in outline.metrics:
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metric_path = os.path.join(
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masking_path,
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metric.__class__.__name__,
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obj_config_to_str(metric),
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)
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makedirs(metric_path)
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metric_path = os.path.join(metric_path, f"{index}.json")
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out_metric = outline.get_metric(
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metric=metric, item=exp_masked, path=metric_path
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)
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with open(os.path.join(outline.out_dir, "done"), "w") as f:
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f.write("")
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