Commit graph

4 commits

Author SHA1 Message Date
Bin Bao
8f5cdc6d5d Revert "Revert "[LT] Store OpKind for each IR subclass in a static field""
Summary: Re-land https://github.com/pytorch/pytorch/pull/76711 by
fixing internal build errors.
Generate class-level opkind as a static method instead of a static
member.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/77102

Approved by: https://github.com/wconstab, https://github.com/JackCaoG, https://github.com/antoniojkim
2022-05-11 12:27:05 +00:00
PyTorch MergeBot
7eaf4780ba Revert "[LT] Store OpKind for each IR subclass in a static field"
This reverts commit ac37ddc795.

Reverted https://github.com/pytorch/pytorch/pull/76711 on behalf of https://github.com/malfet
2022-05-09 20:50:09 +00:00
Bin Bao
ac37ddc795 [LT] Store OpKind for each IR subclass in a static field
Summary: Currently OpKind is stored as an object field called op_ for each IR
node, and one usage of op_ is to avoid dynamic_cast in NodeCast when we
need to downcast a base-node pointer into a concrete sub-node pointer.
As a result, we need to construct and pass in an op when downcasting
nodes, and this becomes quite anonnying when we start to implement the
trie-based IR node reusing. More importantly, the op for each subclass
should be unique for that subclass and thus making it a const static field
is a more logical design.

In this PR, we still keep the object-level op_ for easier XLA adoption. As
furture work, we can come back to remove op_, make the op() method
virtual, and get rid of OpKind in all the node constructors.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/76711

Approved by: https://github.com/wconstab, https://github.com/JackCaoG
2022-05-06 19:14:46 +00:00
Bin Bao
f05710dd40 [LT] Add a trie data structure for caching IR nodes
Summary: TrieCache provides a way to look up an IR node before we
actually create it. If the lookup hits in TrieCache, we reuse the
existing node and move the current pointer in TrieCache to point to that
node; if the lookup misses, we create a new node and insert it into TrieCache.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/76542

Approved by: https://github.com/wconstab, https://github.com/JackCaoG
2022-05-04 23:48:03 +00:00