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Refactoring #8

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Refactoring #8

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e9be5e1
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tosemml Aug 29, 2023
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tosemml Aug 29, 2023
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tosemml Aug 29, 2023
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21 changes: 4 additions & 17 deletions simlarity/feature_extraction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -179,11 +179,7 @@ def _warn_graph_differences(train_tracer: NodePathTracer, eval_tracer: NodePathT

def _get_leaf_modules_for_ops() -> List[type]:
members = inspect.getmembers(torchvision.ops)
result = []
for _, obj in members:
if inspect.isclass(obj) and issubclass(obj, torch.nn.Module):
result.append(obj)
return result
return [obj for _, obj in members if inspect.isclass(obj) and issubclass(obj, torch.nn.Module)]


def get_graph_node_names(
Expand Down Expand Up @@ -496,10 +492,7 @@ def to_strdict(n) -> Dict[str, str]:
)

# Remove existing output nodes (train mode)
orig_output_nodes = []
for n in reversed(graph_module.graph.nodes):
if n.op == "output":
orig_output_nodes.append(n)
orig_output_nodes = [n for n in reversed(graph_module.graph.nodes) if n.op == "output"]
assert len(orig_output_nodes)
for n in orig_output_nodes:
graph_module.graph.erase_node(n)
Expand Down Expand Up @@ -654,19 +647,13 @@ def to_strdict(n) -> Dict[str, str]:
)

# Remove existing output nodes (train mode)
orig_output_nodes = []
for n in reversed(graph_module.graph.nodes):
if n.op == "output":
orig_output_nodes.append(n)
orig_output_nodes = [n for n in reversed(graph_module.graph.nodes) if n.op == "output"]
assert len(orig_output_nodes)
for n in orig_output_nodes:
graph_module.graph.erase_node(n)

# Remove existing input nodes (train mode)
orig_input_nodes = []
for n in reversed(graph_module.graph.nodes):
if n.op == "placeholder":
orig_input_nodes.append(n)
orig_input_nodes = [n for n in reversed(graph_module.graph.nodes) if n.op == "placeholder"]
assert len(orig_input_nodes)
# for n in orig_input_nodes:
# n.users=()
Expand Down