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Add weights_only=True to all torch.load calls #86

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Nov 18, 2024
Merged

Add weights_only=True to all torch.load calls #86

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14 changes: 11 additions & 3 deletions neural_lam/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,9 @@ def load_dataset_stats(dataset_name, device="cpu"):

def loads_file(fn):
return torch.load(
os.path.join(static_dir_path, fn), map_location=device
os.path.join(static_dir_path, fn),
map_location=device,
weights_only=True,
)

data_mean = loads_file("parameter_mean.pt") # (d_features,)
Expand All @@ -42,7 +44,9 @@ def load_static_data(dataset_name, device="cpu"):

def loads_file(fn):
return torch.load(
os.path.join(static_dir_path, fn), map_location=device
os.path.join(static_dir_path, fn),
map_location=device,
weights_only=True,
)

# Load border mask, 1. if node is part of border, else 0.
Expand Down Expand Up @@ -116,7 +120,11 @@ def load_graph(graph_name, device="cpu"):
graph_dir_path = os.path.join("graphs", graph_name)

def loads_file(fn):
return torch.load(os.path.join(graph_dir_path, fn), map_location=device)
return torch.load(
os.path.join(graph_dir_path, fn),
map_location=device,
weights_only=True,
)

# Load edges (edge_index)
m2m_edge_index = BufferList(
Expand Down
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