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30870b4f66
Signed-off-by: luka <luka@neuralmagic.com> Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import operator
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from typing import Iterable, Optional
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from torch import fx
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from torch._higher_order_ops.auto_functionalize import auto_functionalized
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from torch._ops import OpOverload
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def is_func(node: fx.Node, target) -> bool:
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return node.op == "call_function" and node.target == target
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# Returns the first auto_functionalized node with the given op (if it exists)
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def find_auto_fn_maybe(nodes: Iterable[fx.Node],
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op: OpOverload) -> Optional[fx.Node]:
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for node in nodes:
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if is_func(node, auto_functionalized) and node.args[0] == op: # noqa
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return node
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return None
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# Returns the first auto_functionalized node with the given op
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def find_auto_fn(nodes: Iterable[fx.Node], op: OpOverload) -> fx.Node:
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node = find_auto_fn_maybe(nodes, op)
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assert node is not None, f"Could not find {op} in nodes {nodes}"
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return node
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# Returns the getitem node that extracts the idx-th element from node
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# (if it exists)
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def find_getitem_maybe(node: fx.Node, idx: int) -> Optional[fx.Node]:
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for user in node.users:
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if is_func(user, operator.getitem) and user.args[1] == idx:
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return user
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return None
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# Returns the getitem node that extracts the idx-th element from node
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def find_getitem(node: fx.Node, idx: int) -> fx.Node:
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ret = find_getitem_maybe(node, idx)
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assert ret is not None, f"Could not find getitem {idx} in node {node}"
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return ret
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