ai-content-maker/.venv/Lib/site-packages/functorch/dim/dim.py

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2024-05-03 04:18:51 +03:00
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import dis
import inspect
from dataclasses import dataclass
from typing import Union
from . import DimList
_vmap_levels = []
@dataclass
class LevelInfo:
level: int
alive: bool = True
class Dim:
def __init__(self, name: str, size: Union[None, int] = None):
self.name = name
self._size = None
self._vmap_level = None
if size is not None:
self.size = size
def __del__(self):
if self._vmap_level is not None:
_vmap_active_levels[self._vmap_stack].alive = False # noqa: F821
while (
not _vmap_levels[-1].alive
and current_level() == _vmap_levels[-1].level # noqa: F821
):
_vmap_decrement_nesting() # noqa: F821
_vmap_levels.pop()
@property
def size(self):
assert self.is_bound
return self._size
@size.setter
def size(self, size: int):
from . import DimensionBindError
if self._size is None:
self._size = size
self._vmap_level = _vmap_increment_nesting(size, "same") # noqa: F821
self._vmap_stack = len(_vmap_levels)
_vmap_levels.append(LevelInfo(self._vmap_level))
elif self._size != size:
raise DimensionBindError(
f"Dim '{self}' previously bound to a dimension of size {self._size} cannot bind to a dimension of size {size}"
)
@property
def is_bound(self):
return self._size is not None
def __repr__(self):
return self.name
def extract_name(inst):
assert inst.opname == "STORE_FAST" or inst.opname == "STORE_NAME"
return inst.argval
_cache = {}
def dims(lists=0):
frame = inspect.currentframe()
assert frame is not None
calling_frame = frame.f_back
assert calling_frame is not None
code, lasti = calling_frame.f_code, calling_frame.f_lasti
key = (code, lasti)
if key not in _cache:
first = lasti // 2 + 1
instructions = list(dis.get_instructions(calling_frame.f_code))
unpack = instructions[first]
if unpack.opname == "STORE_FAST" or unpack.opname == "STORE_NAME":
# just a single dim, not a list
name = unpack.argval
ctor = Dim if lists == 0 else DimList
_cache[key] = lambda: ctor(name=name)
else:
assert unpack.opname == "UNPACK_SEQUENCE"
ndims = unpack.argval
names = tuple(
extract_name(instructions[first + 1 + i]) for i in range(ndims)
)
first_list = len(names) - lists
_cache[key] = lambda: tuple(
Dim(n) if i < first_list else DimList(name=n)
for i, n in enumerate(names)
)
return _cache[key]()
def _dim_set(positional, arg):
def convert(a):
if isinstance(a, Dim):
return a
else:
assert isinstance(a, int)
return positional[a]
if arg is None:
return positional
elif not isinstance(arg, (Dim, int)):
return tuple(convert(a) for a in arg)
else:
return (convert(arg),)