mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
130 lines
3.9 KiB
130 lines
3.9 KiB
import operator
|
|
from typing import Any, List, Union
|
|
|
|
import torch
|
|
from torch.fx.proxy import Attribute, Proxy
|
|
|
|
from colossalai.fx.tracer.meta_patch import meta_patched_function
|
|
|
|
__all__ = ['ColoProxy']
|
|
|
|
|
|
class ColoProxy(Proxy):
|
|
"""
|
|
ColoProxy is a proxy class which uses meta tensor to handle data-dependent control flow. The original torch.fx proxy
|
|
cannot be used to infer the condition statement, with this proxy, torch.fx can still run even with if statements.
|
|
|
|
Example::
|
|
|
|
proxy = tracer.create_proxy(...)
|
|
proxy.meta_data = torch.empty(4, 2, device='meta')
|
|
print(len(proxy)) # expect output 4
|
|
|
|
"""
|
|
|
|
def __init__(self, *args, **kwargs):
|
|
super().__init__(*args, **kwargs)
|
|
self.node._meta_data = None
|
|
|
|
@property
|
|
def meta_data(self):
|
|
return self.node._meta_data
|
|
|
|
@meta_data.setter
|
|
def meta_data(self, data: Any):
|
|
self.node._meta_data = data
|
|
|
|
@property
|
|
def has_meta_data(self):
|
|
return self._meta_data is not None
|
|
|
|
def _assert_meta_data_is_tensor(self):
|
|
assert torch.is_tensor(
|
|
self._meta_data) and self._meta_data.is_meta, f'Meta data is not a meta tensor for {self.node.name}'
|
|
|
|
def _assert_has_meta_data(self):
|
|
assert self._meta_data is not None, f'Meta data is not set for {self.node.name}'
|
|
|
|
def __len__(self):
|
|
self._assert_has_meta_data()
|
|
return len(self.meta_data)
|
|
|
|
def __int__(self):
|
|
self._assert_has_meta_data()
|
|
return int(self.meta_data)
|
|
|
|
def __float__(self):
|
|
self._assert_has_meta_data()
|
|
return float(self.meta_data)
|
|
|
|
def __bool__(self):
|
|
self._assert_has_meta_data()
|
|
return self.meta_data
|
|
|
|
def __getattr__(self, k):
|
|
|
|
return ColoAttribute(self, k)
|
|
|
|
def __contains__(self, key):
|
|
if self.node.op == "placeholder":
|
|
# this is used to handle like
|
|
# if x in kwargs
|
|
# we don't handle this case for now
|
|
return False
|
|
return super().__contains__(key)
|
|
|
|
|
|
def extract_meta(*args, **kwargs):
|
|
"""
|
|
This function is copied from _tracer_utils.py to avoid circular import issue.
|
|
"""
|
|
|
|
def _convert(val):
|
|
if isinstance(val, ColoProxy):
|
|
return val.meta_data
|
|
elif isinstance(val, (list, tuple)):
|
|
return type(val)([_convert(ele) for ele in val])
|
|
return val
|
|
|
|
new_args = [_convert(val) for val in args]
|
|
new_kwargs = {k: _convert(v) for k, v in kwargs.items()}
|
|
return new_args, new_kwargs
|
|
|
|
|
|
class ColoAttribute(ColoProxy):
|
|
|
|
def __init__(self, root, attr: str):
|
|
self.root = root
|
|
self.attr = attr
|
|
self.tracer = root.tracer
|
|
self._node = None
|
|
|
|
@property
|
|
def node(self):
|
|
if self._node is None:
|
|
proxy = self.tracer.create_proxy("call_function", getattr, (self.root, self.attr), {})
|
|
if not isinstance(proxy, ColoProxy):
|
|
meta_args, meta_kwargs = extract_meta(*(self.root, self.attr))
|
|
meta_out = getattr(*meta_args, **meta_kwargs)
|
|
proxy = ColoProxy(proxy.node)
|
|
proxy.meta_data = meta_out
|
|
self._node = proxy.node
|
|
|
|
return self._node
|
|
|
|
def __call__(self, *args, **kwargs):
|
|
proxy = self.tracer.create_proxy("call_method", self.attr, (self.root,) + args, kwargs)
|
|
if not isinstance(proxy, ColoProxy):
|
|
meta_args, meta_kwargs = extract_meta(*((self.root,) + args), **kwargs)
|
|
method = getattr(meta_args[0].__class__, self.attr)
|
|
if meta_patched_function.has(method):
|
|
meta_target = meta_patched_function.get(method)
|
|
elif meta_patched_function.has(method.__name__):
|
|
meta_target = meta_patched_function.get(method.__name__)
|
|
else:
|
|
meta_target = method
|
|
meta_out = meta_target(*meta_args, **meta_kwargs)
|
|
proxy = ColoProxy(proxy.node)
|
|
proxy.meta_data = meta_out
|
|
return proxy
|