Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65967
Graph is an implementation detail. If user wants to get access to the
underlying graph, they should be able to explicitly dynamic cast instead.
ghstack-source-id: 141659819
Test Plan: no behavior change.
Reviewed By: gmagogsfm
Differential Revision: D31326153
fbshipit-source-id: a0e984f57c6013494b92a7095bf5bb660035eb84
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/58300
Current state: During graph rewriting that can fuse nodes or add nodes
result in new nodes without debug information that was available in
original node. Thus we lose this information during graph rewrite.
This PR changes graph rewriting API to let user specify how the values
in the replacement pattern map to values in the pattern to be matched.
Then the graph rewriting will copy source range and inlined callstack
from the matched nodes onto the nodes being inserted.
(Note: this ignores all push blocking failures!)
Test Plan:
python test/test_jit.py
TestJit.test_pattern_based_rewrite_with_source_range_preserved
Imported from OSS
Reviewed By: malfet
Differential Revision: D28512465
fbshipit-source-id: 863173c29de726be85b3acbd3ddf3257eea36d13
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39867
Support list of filters in subgraph rewriter, the rewrite will execute only
when the match passes all filter check. this is useful for different matches
to share the same filter.
Test Plan: Imported from OSS
Differential Revision: D22009855
fbshipit-source-id: 67aab8d6326b2011a9061397699dc62ee9ad4e2d
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35704
Due to not clearing nodes_to_delete_, when we try to write graph rewrite
pass with multiple patterns, this is observed:
IndexError: vector::_M_range_check: __n (which is 0) >= this->size() (which is 0)
Test Plan:
The PR stacked on top of this run into this error in the unit test.
Imported from OSS
Differential Revision: D20746593
fbshipit-source-id: 9b55604f49ff2ee2a81a61827880cb679c44607a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34515
Once upon a time we thought this was necessary. In reality it is not, so
removing it.
For backcompat, our public interface (defined in `api/`) still has
typedefs to the old `script::` names.
There was only one collision: `Pass` as a `Stmt` and `Pass` as a graph
transform. I renamed one of them.
Test Plan: Imported from OSS
Differential Revision: D20353503
Pulled By: suo
fbshipit-source-id: 48bb911ce75120a8c9e0c6fb65262ef775dfba93
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26223
add filter function to runGraph, if the function returns false for given `Match`,
the we'll skip the rewrite.
Test Plan:
will test in later PR that adds extra filtering on Constant nodes
Imported from OSS
Differential Revision: D17462529
fbshipit-source-id: 52abe52cb3e729a3871f7a60eddd5275060af36a
Summary:
The trick here is that creating a mapping from const values to
const values means that downstream clients that want to mutate
the output of the mapping are stuck. However, a mapping from
const values to non-const values is just fine and doesn't put
constraints on downstream clients.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20303
Differential Revision: D15284076
fbshipit-source-id: 16206fd910dd5f83218525ca301b1889df0586cb
