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[hpc infer] fix bench perf number

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Reviewed By: yinghai, jianyuh

Differential Revision: D31505288

fbshipit-source-id: e4951a7c5813e0ee38903dec4cef61531f1b4059
This commit is contained in:
Shiyan Deng 2021-10-08 19:09:55 -07:00 committed by Facebook GitHub Bot
parent 904fbadaff
commit e5f6f356da
1 changed files with 5 additions and 8 deletions
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13
torch/fx/experimental/const_fold.py
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@ -23,6 +23,11 @@ class FoldedGraphModule(torch.fx.GraphModule):
const_subgraph: Optional[torch.fx.Graph] = None,
fx_const_folded_attrs_name: str = None,
):
# In init, we set graph's owning module to root which will make graph's
# owning module be None because graph already have a owning module. We
# need owning module to run DCE. To work around we set the number of
# graph's owners to 0.
graph._owners = 0
super().__init__(root, graph)
self.const_subgraph_module = (
None
@ -152,14 +157,6 @@ def split_const_subgraphs(
const_gm, non_const_gm = split.submod_0, split.submod_1
const_mod_name, non_const_mod_name = "submod_0", "submod_1"
# Later we are creating get_attr nodes from main module get_attr nodes and we use the
# same node.target. If there's a get_attr that refers to an attributes in a module and
# this module is not included in non_const_gm then we would have a trouble when creating
# get_attr ndoes because it will try to find the module that owns the attribute first.
# Setting owning_module here makes the owning_module of non_const_gm.graph to None then
# the check when creating get_attr nodes will get skipped.
non_const_gm.graph.owning_module = split
# The module that a call_module node refers to gets copied to submodules during split.
# The path to the module also gets inlined, i.e. mod.a.b -> mod_a_b. Here we need to
# attach inlined modules to `split` as it's the owning module now.