Commit Graph

9 Commits

Author SHA1 Message Date
Michael Suo
9e32a1f5cd [wip] update graph fuser aliasdb in-place (#37106)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37106

Recomputing the aliasdb on every fusion iteration + in every subblock
is hugely expensive. Instead, update it in-place when doing fusion.

The graph fuser pass operates by pushing nodes into a fusion group. So
we start with
```
x, y = f(a, b, c)
```

and end with:
```
x_out, y_out = prim::fusionGroup(a, b, c)
   x_in, y_in = f(a_in, b_in, c_in)
   -> x_in, y_in
```

We destroy the `x` and `y` `Value*`s in the process. This operation is
easy to express as an update to the aliasDb--`x_out` just takes on all
the aliasing information `x` used to have. In particular, since we know
`f` and `prim::fusionGroup` are purely functional, we don't have to mess
with any write information.

This PR is the bare minimum to get this working, in the interest of
unscrewing the compilation times ASAP.

Followups I want to do:
- We don't have a way of expressing deletion of values in AliasDb. In
`graph_fuser.cpp` we sometimes construct nodes that we end up throwing
away, and we are littering `MemoryDAG` with references to dangling
pointers. Because of the way the pass works, it's fine, but this is
fragile so I want to fix it.
- We should decouple alias analysis from write tracking, to simplify the
job of keeping the write caches consistent as we mutate the aliasing
information.
- the tensorexpr fuser doesn't do this and thus is incorrect today, we
need to update it to work.

Test Plan: Imported from OSS

Differential Revision: D21219179

Pulled By: suo

fbshipit-source-id: 8ae5397b3a0ad90edec2fbc555647091f1ad5284
2020-04-30 22:21:35 -07:00
Meghan Lele
6384c2d81b [JIT] clang-format JIT code (#35115)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35115

This commit runs the newly added tools/clang_format.py on the JIT
codebase and includes all of the formatting changes thus produced.

Testing:
Ran the script, CI.

Test Plan: Imported from OSS

Reviewed By: eellison

Differential Revision: D20568523

Pulled By: SplitInfinity

fbshipit-source-id: e09bdb982ccf090eecfb7c7b461b8d0681eef82b
2020-03-26 11:24:51 -07:00
Michael Suo
c235be42dd [jit] kill script namespace (#34515)
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
2020-03-11 23:32:48 -07:00
Michael Suo
dbe850af5b [jit] do the code reorg (#33851)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33851

Rationale and context described in #33828.

Script to reproduce the move:
https://gist.github.com/suo/16cbefaaeb67ca5a7c6caffd49b7f6e9
ghstack-source-id: 99079645

Test Plan: Make sure CI passes

Reviewed By: jamesr66a

Differential Revision: D20133869

fbshipit-source-id: 390e9241a9c85366d9005c492ac31f10aa96488e
2020-02-27 13:02:51 -08:00
Mikhail Zolotukhin
806e7daa1f Rename TorchScript compiler to IR emitter to better reflect its function. (#33127)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/33127

Test Plan: Imported from OSS

Differential Revision: D19806503

Pulled By: ZolotukhinM

fbshipit-source-id: ab78bdbbac5f12dbcc6c2e2573f5862a16ffcf3d
2020-02-12 18:45:13 -08:00
generatedunixname89002005287564
9482683065 Remove dead includes in caffe2/test
Reviewed By: ezyang

Differential Revision: D19273220

fbshipit-source-id: 3dfc3388914e60611c84472e3fc529f5b5e40534
2020-01-21 11:30:34 -08:00
Mikhail Zolotukhin
8ca6220509 Remove unused DynamicDAG class.
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/24890

Test Plan: Imported from OSS

Differential Revision: D16912935

Pulled By: ZolotukhinM

fbshipit-source-id: 3e4b160119cb73e47811d8636b64a86088a33102
2019-08-20 16:17:59 -07:00
Mike Ruberry
f01548e5a4 Removes SymbolicVariable from tests (#24007)
Summary:
This PR removes SymbolicVariable from all tests as well as the specialize_autogradzero and canonicalize_ops passes. These passes used SymbolicVariable in a relatively simple way compared to its few remaining uses.

Removing SymbolicVariable means graphs must be constructed by other methods. IRParser was preferred for tests, but tests requiring pointers to graph internals or differentiation use direct construction instead. See https://github.com/pytorch/pytorch/issues/23989, which was discovered during this process, for why IRParser cannot be used when differentiation is required. Direct construction was also used in the updated passes.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24007

Test Plan: Only refactors existing tests and preserves current checks; no additional testing needed.

Differential Revision: D16906045

Pulled By: mruberry

fbshipit-source-id: b67df4611562cd7618f969890e2b6840750c7266
2019-08-19 20:49:37 -07:00
Michael Suo
dfdb86a595 big cpp test reorg (#24801)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24801

This is to fix the ODR-violations in fbcode static builds, which have been broken for several months.

This PR is unfortunately quite large, but the changes are only mechanical:
1. Tests defined in header files -> tests defined in cpp files
2. Remove the `torch::jit::testing` namespace -> `torch::jit`.
3. Single `test.h` file that aggregates all tests.
4. Separate out files for gtest and python versions of the tests instead of using a build flag
5. Add a readme for how to add a new test, and explaining a bit about why the cpp tests are the way they are.

Test Plan: Imported from OSS

Differential Revision: D16878605

Pulled By: suo

fbshipit-source-id: 27b5c077dadd990a5f74e25d01731f9c1f491603
2019-08-18 16:49:56 -07:00