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[Bug Fix] Use ast to generate the hash of Paddle models. #266

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Merged
JewelRoam merged 2 commits into from
Sep 9, 2025
Merged

[Bug Fix] Use ast to generate the hash of Paddle models. #266

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6910563
Use ast to generate the hash of Paddle models.
Xreki Sep 8, 2025
138525b
Update all the hash value of paddle samples.
Xreki Sep 9, 2025
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59 changes: 39 additions & 20 deletions graph_net/paddle/validate.py
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Expand Up @@ -11,7 +11,7 @@
import numpy as np
import graph_net
import os
import re
import ast
import paddle


Expand All @@ -29,29 +29,49 @@ def _get_sha_hash(content):
return m.hexdigest()


def _save_to_model_path(dump_dir, hash_text):
file_path = f"{dump_dir}/graph_hash.txt"
with open(file_path, "w") as f:
f.write(hash_text)
def _extract_forward_source(model_path):
source = None
with open(f"{model_path}/model.py", "r") as f:
source = f.read()

tree = ast.parse(source)
forward_code = None

def extract_from_forward_regex(text, case_sensitive=True):
pattern = r"forward.*"
flags = 0 if case_sensitive else re.IGNORECASE
for node in tree.body:
if isinstance(node, ast.ClassDef) and node.name == "GraphModule":
for fn in node.body:
if isinstance(fn, ast.FunctionDef) and fn.name == "forward":
return ast.unparse(fn)
return None

match = re.search(pattern, text, flags)
if match:
return match.group(0)

def check_graph_hash(args):
model_path = args.model_path
file_path = f"{model_path}/graph_hash.txt"
if args.dump_graph_hash_key:
model_str = _extract_forward_source(model_path)
assert model_str is not None, f"model_str of {args.model_path} is None."
new_hash_text = _get_sha_hash(model_str)

old_hash_text = None
if os.path.exists(file_path):
with open(file_path, "r") as f:
old_hash_text = f.read()

if old_hash_text is None or new_hash_text != old_hash_text:
print(f"Writing to {file_path}.")
with open(file_path, "w") as f:
f.write(new_hash_text)
if old_hash_text is not None:
assert (
new_hash_text == old_hash_text
), f"Hash value for {model_path} is not consistent."
else:
raise ValueError("Erroneous case occurs.")
assert os.path.exists(file_path), f"{file_path} does not exist."


def main(args):
model_path = args.model_path
with open(f"{model_path}/model.py", "r") as fp:
model_str = fp.read()
model_str = extract_from_forward_regex(model_str)
_save_to_model_path(model_path, _get_sha_hash(model_str))
check_graph_hash(args)

model_path = args.model_path
model_class = load_class_from_file(
Expand Down Expand Up @@ -100,17 +120,16 @@ def main(args):
required=True,
help="Path to folder e.g '../test_dataset'",
)

parser.add_argument(
"--no-check-redundancy",
action="store_true",
default=False,
help="whether check model graph redundancy",
)

parser.add_argument(
"--dump-graph-hash-key",
action="store_true",
default=False,
default=True,
help="Dump graph hash key",
)
parser.add_argument(
Expand Down
2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/bert-base-cased/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-chinese-char-small/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-chinese-sim-char-base/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-chinese-sim-char-ft-base/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-chinese-sim-char-ft-small/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-chinese-sim-char-small/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-chinese-small/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-english-small-discriminator/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/roformer-english-small-generator/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/skep_ernie_1.0_large_ch/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleNLP/skep_ernie_2.0_large_en/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleScience/euler_beam/subgraph_0/graph_hash.txt
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2 changes: 1 addition & 1 deletion paddle_samples/PaddleX/AutoEncoder_ad/graph_hash.txt
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