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[Bug Fix]Fix Upload.py and numpy usage #641

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Merged
lixinqi merged 1 commit into from
Feb 9, 2026
Merged

[Bug Fix]Fix Upload.py and numpy usage #641

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2 changes: 2 additions & 0 deletions graph_net_bench/torch/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,8 @@ def replay_tensor(info):
np_data = np.full(shape, mean)
else:
np_data = np.random.randn(*shape) * std * 0.2 + mean
if not isinstance(np_data, np.ndarray):
np_data = np.array(np_data)
tensor = torch.from_numpy(np_data).to(dtype).to(device)
# Apply lower/upper bound constraints if present
if "min_val" in info["info"]:
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41 changes: 15 additions & 26 deletions sqlite/upload.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,15 +11,13 @@
)
from sqlalchemy.exc import IntegrityError
import os
from pathlib import Path
from huggingface_hub import HfApi

FULL_GRAPH_PATH = (
"/work/clone/GraphNet/subgraph_dataset_workspace_small10_torch_samples/full_graph"
)
TYPICAL_GRAPH_PATH = "/work/clone/GraphNet/subgraph_dataset_workspace_small10_torch_samples/typical_graph"
FUSIBLE_GRAPH_PATH = "/work/clone/GraphNet/subgraph_dataset_workspace_small10_torch_samples/fusible_graph"
SOLE_OP_GRAPH_PATH = "/work/clone/GraphNet/subgraph_dataset_workspace_small10_torch_samples/sole_op_graph"
BASE_PATH = "/work/clone/GraphNet/subgraph_dataset_workspace_small10_torch_samples"
FULL_GRAPH_PATH = f"{BASE_PATH}/full_graph"
TYPICAL_GRAPH_PATH = f"{BASE_PATH}/typical_graph"
FUSIBLE_GRAPH_PATH = f"{BASE_PATH}/fusible_graph"
SOLE_OP_GRAPH_PATH = f"{BASE_PATH}/sole_op_graph"

HF_REPO_ID = "PaddlePaddle/GraphNet"
HF_REPO_TYPE = "dataset"
Expand All @@ -34,27 +32,18 @@ def upload_to_huggingface(api: HfApi, local_path: str, repo_id: str, path_in_rep
if not os.path.exists(local_path):
print(f"Warning: Local path not found, skipping upload: {local_path}")
return

print(f"Uploading {local_path} to HF: {repo_id}/{path_in_repo} ...")
print(f"Uploading folder {local_path} to HF: {repo_id}/{path_in_repo} ...")
try:
folder_size = sum(
f.stat().st_size for f in Path(local_path).rglob("*") if f.is_file()
api.upload_folder(
folder_path=local_path,
path_in_repo=path_in_repo,
repo_id=repo_id,
repo_type=HF_REPO_TYPE,
revision=HF_BRANCH,
commit_message=f"Upload folder: {path_in_repo}",
ignore_patterns=["**/__pycache__/*", "*.pyc", ".ipynb_checkpoints/*"],
)
size_mb = folder_size / (1024 * 1024)
print(f" Size: {size_mb:.2f}MB, uploading files individually...")
for file_path in Path(local_path).rglob("*"):
if file_path.is_file():
rel_path = file_path.relative_to(local_path)
remote_path = f"{path_in_repo}/{rel_path}"
api.upload_file(
path_or_fileobj=str(file_path),
path_in_repo=remote_path,
repo_id=repo_id,
repo_type=HF_REPO_TYPE,
revision=HF_BRANCH,
commit_message=f"Upload {rel_path}",
)
print(f"Success: Uploaded {path_in_repo} ({size_mb:.2f}MB)")
print(f"Success: Folder uploaded to {path_in_repo}")
except Exception as e:
print(f"Error uploading to Hugging Face: {e}")

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