96 lines
3.0 KiB
Python
96 lines
3.0 KiB
Python
from typing import Dict, Tuple
|
|
|
|
from torch.fx._compatibility import compatibility
|
|
from torch.fx.graph import Graph
|
|
|
|
from torch.fx.graph_module import GraphModule
|
|
from torch.fx.passes.utils.matcher_utils import SubgraphMatcher
|
|
from torch.nn import Module
|
|
|
|
|
|
__all__ = ["HolderModule", "lift_subgraph_as_module", "compare_graphs"]
|
|
|
|
|
|
@compatibility(is_backward_compatible=False)
|
|
class HolderModule(Module):
|
|
"""
|
|
HolderModule is used to copy all the attributes from original module to submodules
|
|
that uses the attributes
|
|
"""
|
|
|
|
def __init__(self, d):
|
|
super().__init__()
|
|
for k, v in d.items():
|
|
self.add_module(k, v)
|
|
|
|
|
|
@compatibility(is_backward_compatible=False)
|
|
def lift_subgraph_as_module(
|
|
gm: GraphModule,
|
|
subgraph: Graph,
|
|
comp_name: str = "",
|
|
class_name: str = "GraphModule",
|
|
) -> Tuple[GraphModule, Dict[str, str]]:
|
|
"""
|
|
Create a GraphModule for subgraph, which copies the necessary attributes from the original parent graph_module.
|
|
|
|
Args:
|
|
gm (GraphModule): parent graph module
|
|
|
|
subgraph (Graph): a valid subgraph that contains copied nodes from the parent graph
|
|
|
|
comp_name (str): name for the new component
|
|
|
|
class_name (str): name for the submodule
|
|
|
|
"""
|
|
|
|
# Loop through all module calls (call_module) and param fetches (get_attr)
|
|
# in this component, creating HolderModules as necessary to match the path.
|
|
# e.g. if in the original module there's a get_attr node fetches "conv.weight".
|
|
# We create a HolderModule as root -> add a HolderModule named "conv" ->
|
|
# make "weight" a attribute of "conv" HolderModule and point to conv.weight in
|
|
# the original module.
|
|
submodule = HolderModule({})
|
|
orig_to_split_fqn_mapping: Dict[str, str] = {}
|
|
for n in subgraph.nodes:
|
|
if n.op not in ("call_module", "get_attr"):
|
|
continue
|
|
|
|
target = n.target
|
|
assert isinstance(target, str)
|
|
target_name_parts = target.split(".")
|
|
curr = submodule
|
|
orig_gm = gm
|
|
|
|
for name in target_name_parts[:-1]:
|
|
if not hasattr(curr, name):
|
|
curr.add_module(name, HolderModule({}))
|
|
|
|
curr = getattr(curr, name)
|
|
orig_gm = getattr(orig_gm, name)
|
|
|
|
leaf_node_name = target_name_parts[-1]
|
|
leaf_node = getattr(orig_gm, leaf_node_name)
|
|
|
|
orig_to_split_fqn_mapping[target] = f"{comp_name}.{target}"
|
|
# Relies on custom __setattr__ magic.
|
|
setattr(curr, leaf_node_name, leaf_node)
|
|
|
|
return GraphModule(submodule, subgraph, class_name), orig_to_split_fqn_mapping
|
|
|
|
|
|
@compatibility(is_backward_compatible=False)
|
|
def compare_graphs(left: Graph, right: Graph) -> bool:
|
|
"""
|
|
Return True if two graphs are identical, i.e they
|
|
- have the same number of outputs in the same order
|
|
- have the same number of inputs in the same order
|
|
- have the same set of nodes, and identical connectivity
|
|
"""
|
|
|
|
matcher = SubgraphMatcher(left, match_output=True, match_placeholder=True)
|
|
matches = matcher.match(right)
|
|
|
|
return len(matches) > 0
|