# 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. _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 while ( not _vmap_levels[-1].alive and current_level() == _vmap_levels[-1].level ): _vmap_decrement_nesting() _vmap_levels.pop() @property def size(self): assert self.is_bound return self._size @size.setter def size(self, size: int): if self._size is None: self._size = size self._vmap_level = _vmap_increment_nesting(size, "same") 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),)