forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy path_pytree.py
69 lines (53 loc) · 3.11 KB
/
_pytree.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
from collections import namedtuple
from typing import Any, Callable, Dict, List, NamedTuple, Tuple, Type, Optional
from torch.utils._pytree import LeafSpec, PyTree, TreeSpec
FlattenFuncSpec = Callable[[PyTree, TreeSpec], List]
FlattenFuncExactMatchSpec = Callable[[PyTree, TreeSpec], bool]
SUPPORTED_NODES: Dict[Type[Any], FlattenFuncSpec] = {}
SUPPORTED_NODES_EXACT_MATCH: Dict[Type[Any], Optional[FlattenFuncExactMatchSpec]] = {}
def register_pytree_flatten_spec(
typ: Any,
flatten_fn_spec: FlattenFuncSpec,
flatten_fn_exact_match_spec: Optional[FlattenFuncExactMatchSpec] = None
) -> None:
SUPPORTED_NODES[typ] = flatten_fn_spec
SUPPORTED_NODES_EXACT_MATCH[typ] = flatten_fn_exact_match_spec
def tree_flatten_spec(pytree: PyTree, spec: TreeSpec, exact_structural_match=False) -> List[Any]:
if isinstance(spec, LeafSpec):
return [pytree]
if spec.type not in SUPPORTED_NODES:
raise RuntimeError(
f"{type(pytree)} does not have a flatten_fn_spec associated with it. Please register one with "
"torch.fx._pytree.register_pytree_flatten_spec. If you have serialized your model, make "
"sure that any custom pytrees have been registered before loading it.")
flatten_fn_spec = SUPPORTED_NODES[spec.type]
child_pytrees = flatten_fn_spec(pytree, spec)
if exact_structural_match:
flatten_fn_exact_match_spec = SUPPORTED_NODES_EXACT_MATCH[spec.type]
if flatten_fn_exact_match_spec and not flatten_fn_exact_match_spec(pytree, spec):
raise RuntimeError(f"Cannot flatten pytree {pytree}, given spec: {spec}")
result = []
for child, child_spec in zip(child_pytrees, spec.children_specs):
flat = tree_flatten_spec(child, child_spec, exact_structural_match)
result += flat
return result
def _dict_flatten_spec(d: Dict[Any, Any], spec: TreeSpec) -> List[Any]:
return [d[k] for k in spec.context]
def _list_flatten_spec(d: List[Any], spec: TreeSpec) -> List[Any]:
return [d[i] for i in range(len(spec.children_specs))]
def _tuple_flatten_spec(d: Tuple[Any], spec: TreeSpec) -> List[Any]:
return [d[i] for i in range(len(spec.children_specs))]
def _namedtuple_flatten_spec(d: NamedTuple, spec: TreeSpec) -> List[Any]:
return [d[i] for i in range(len(spec.children_specs))]
def _dict_flatten_spec_exact_match(d: Dict[Any, Any], spec: TreeSpec) -> bool:
return len(d) == len(spec.context)
def _list_flatten_spec_exact_match(d: List[Any], spec: TreeSpec) -> bool:
return len(d) == len(spec.children_specs)
def _tuple_flatten_spec_exact_match(d: Tuple[Any], spec: TreeSpec) -> bool:
return len(d) == len(spec.children_specs)
def _namedtuple_flatten_spec_exact_match(d: NamedTuple, spec: TreeSpec) -> bool:
return len(d) == len(spec.children_specs)
register_pytree_flatten_spec(dict, _dict_flatten_spec, _dict_flatten_spec_exact_match)
register_pytree_flatten_spec(list, _list_flatten_spec, _list_flatten_spec_exact_match)
register_pytree_flatten_spec(tuple, _tuple_flatten_spec, _tuple_flatten_spec_exact_match)
register_pytree_flatten_spec(namedtuple, _namedtuple_flatten_spec, _tuple_flatten_spec_exact_match)