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import functools
from typing import List
import torch
from torch._export.passes._node_metadata_hook import (
_node_metadata_hook,
_set_node_metadata_hook,
)
def insert_custom_op_guards(gm: torch.fx.GraphModule, ops_to_guard: List[str]) -> None:
"""
This is used by draft_export to insert guards in front of calls to custom
operators which have a generated fake kernel.
"""
for node in gm.graph.nodes:
if node.op == "call_function" and str(node.target) in ops_to_guard:
with _set_node_metadata_hook(
gm,
functools.partial(
_node_metadata_hook, stack_trace=node.meta["stack_trace"]
),
), gm.graph.inserting_before(node):
for arg in (*node.args, *node.kwargs.values()):
if isinstance(arg, torch.fx.Node) and isinstance(
arg.meta.get("val"), torch.Tensor
):
val = arg.meta["val"]
gm.graph.call_function(
torch.ops.aten._assert_tensor_metadata.default,
args=(arg,),
kwargs={
"dtype": val.dtype,
"device": val.device,
"layout": val.layout,
},
)
gm.recompile()
|
