OSSForks/pytorch
1
0
Fork 0
mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-06 12:20:52 +01:00
Code Issues Actions 38 Packages Projects Releases Wiki Activity
95,180 Commits 8,304 Branches 150 Tags 1.5 GiB
369f2d6951
Commit Graph

31 Commits

Author SHA1 Message Date
linhaifeng
369f2d6951 [3/N] fix typo in other folders (#166606) 
fix typo in other folders

#166374
#166126

_typos.toml
```bash
[files]
extend-exclude = ["tools/linter/dictionary.txt"]
[default.extend-words]
nd = "nd"
arange = "arange"
Nd = "Nd"
GLOBALs = "GLOBALs"
hte = "hte"
iy = "iy"
PN = "PN"
Dout = "Dout"
optin = "optin"
gam = "gam"
PTD = "PTD"
Sur = "Sur"
nin = "nin"
tme = "tme"
inpt = "inpt"
mis = "mis"
Raison = "Raison"
ouput = "ouput"
nto = "nto"
Onwer = "Onwer"
callibrate = "callibrate"
ser = "ser"
Metdata = "Metdata"
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166606
Approved by: https://github.com/ezyang
 2025-10-30 10:30:40 +00:00
FFFrog
af0bc75460 Remove deprecated alias macro(1/3) (#137556) 
**Detailed Descriptions:**
- Remove AT_ERROR Macro

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137556
Approved by: https://github.com/ezyang
 2024-10-21 17:32:32 +00:00
cyy
c764ef6d53 [9/N] Fix clang-tidy warnings in jit (#132010) 
Follows  #131997

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132010
Approved by: https://github.com/Skylion007
 2024-07-29 18:38:35 +00:00
Aaron Gokaslan
e57a694d77 Add some missing moves to torch jit passes (#92317) 
Add some missing moves in torch/jit/passes

Pull Request resolved: https://github.com/pytorch/pytorch/pull/92317
Approved by: https://github.com/ezyang
 2023-01-22 16:33:08 +00:00
Richard Barnes
3979cb0656 irange for size_t (#55320) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/55320

Test Plan: Sandcastle

Reviewed By: ngimel

Differential Revision: D27572577

fbshipit-source-id: 97710fd2bb1303006b05828a0d1343b0b59ccb03
 2021-06-03 01:04:13 -07:00
Mike Ruberry
c0ac0fef4e Revert D27448156: irange for size_t 
Test Plan: revert-hammer

Differential Revision:
D27448156 (041b4431b2)

Original commit changeset: 585da57d4de9

fbshipit-source-id: 8e047c29f391c0166e0a1a87c3fb2a0854377365
 2021-04-03 19:14:00 -07:00
Richard Barnes
041b4431b2 irange for size_t (#55163) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/55163

Test Plan: Sandcastle

Reviewed By: ngimel

Differential Revision: D27448156

fbshipit-source-id: 585da57d4de91c692b6360d65f7b8a66deb0f8c1
 2021-04-02 23:22:29 -07:00
Andres Suarez
8530c65e25 [codemod][fbcode/caffe2] Apply clang-format update fixes 
Test Plan: Sandcastle and visual inspection.

Reviewed By: igorsugak

Differential Revision: D25849205

fbshipit-source-id: ef664c1ad4b3ee92d5c020a5511b4ef9837a09a0
 2021-01-09 14:37:36 -08:00
Meghan Lele
8746e1a1cc [JIT] Fix clang-tidy warnings in jit/passes (#47984) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/47984

Test Plan: Imported from OSS

Reviewed By: ZolotukhinM

Differential Revision: D25258638

Pulled By: SplitInfinity

fbshipit-source-id: 0ed5ef6984ba988a2c67407efcc77355ca25bbee
 2020-12-02 12:35:34 -08:00
Nick Korovaiko
767ea03b22 Clear profiling information timely and appropriately (#35814) 
Summary:
Clear profiling information before it gets used by passes before guard insertion.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35814

Differential Revision: D20800599

Pulled By: Krovatkin

fbshipit-source-id: 978d71c22e1880dc888e7e75e7c25501c573333f
 2020-04-02 19:14:56 -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
James Reed
60e8615a6d [JIT] Virtualize Function (#33921) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33921

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.intern.facebook.com/intern/diff/D20153092/)!

Test Plan: Imported from OSS

Differential Revision: D20177227

Pulled By: jamesr66a

fbshipit-source-id: 87f3e484c4f873d60f76f50f6789c1b4a73bdfde
 2020-03-07 10:03:50 -08:00
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
Brian Wignall
f326045b37 Fix typos, via a Levenshtein-type corrector (#31523) 
Summary:
Should be non-semantic.

Uses https://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/For_machines to find likely typos, with https://github.com/bwignall/typochecker to help automate the checking.

Uses an updated version of the tool used in https://github.com/pytorch/pytorch/pull/30606 .
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31523

Differential Revision: D19216749

Pulled By: mrshenli

fbshipit-source-id: 7fd489cb9a77cd7e4950c1046f925d57524960ea
 2020-01-17 16:03:19 -08:00
Nikolay Korovaiko
53708e21ed classic fixed-point liveness 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/31724

Differential Revision: D19426570

Pulled By: Krovatkin

fbshipit-source-id: 3387dfb25e6e9456d5d0517eac1d2e44e61d6813
 2020-01-16 15:13:22 -08:00
Michael Suo
8420f205ee Remove refs from ArrayRef arguments (#31845) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31845

ArrayRef is trivially copyable and should be passed by value. Removing
unnecessary `&`s.

Test Plan: Imported from OSS

Differential Revision: D19278523

Pulled By: suo

fbshipit-source-id: 026db693ea98d19246b02c48d49d1929ecb6478e
 2020-01-03 22:50:55 -08:00
Nikolay Korovaiko
fc3103b116 fixing a naming issue in creating a residual loop node in a bailout graph (#31400) 
Summary:
This addresses the issue of differentiating between `%4` in
`%12 : int, %y.1 : Tensor = prim::Loop(%9, %6, %4, %3)` and `%y.5 : Double(3) = aten::cat(%22, %4) # test_jit.py:3772:24` in `%4` loop's body in a residual continuation loop, because these should be different values.

```
[DUMP profiling_graph_executor_impl.cpp:124] with prim::BailoutTemplate_0 = graph(%z.1 : int,
[DUMP profiling_graph_executor_impl.cpp:124]       %size.1 : int):
[DUMP profiling_graph_executor_impl.cpp:124]   %2 : Tensor = prim::Constant[value= 1  1 [ CPUDoubleType{2} ]]()
[DUMP profiling_graph_executor_impl.cpp:124]   %3 : Double(2) = prim::BailOut[index=0](%2, %z.1, %size.1)
[DUMP profiling_graph_executor_impl.cpp:124]   %4 : int = prim::Constant[value=0]() # test_jit.py:3772:54
[DUMP profiling_graph_executor_impl.cpp:124]   %5 : None = prim::Constant()
[DUMP profiling_graph_executor_impl.cpp:124]   %6 : bool = prim::Constant[value=1]() # test_jit.py:3770:16
[DUMP profiling_graph_executor_impl.cpp:124]   %counters.1 : int[] = prim::ListConstruct()
[DUMP profiling_graph_executor_impl.cpp:124]   %8 : int = prim::Constant[value=8]()
[DUMP profiling_graph_executor_impl.cpp:124]   %9 : int = aten::__round_to_zero_floordiv(%size.1, %8)
[DUMP profiling_graph_executor_impl.cpp:124]   %10 : int = aten::mul(%9, %8)
[DUMP profiling_graph_executor_impl.cpp:124]   %11 : int = aten::sub(%size.1, %10)
[DUMP profiling_graph_executor_impl.cpp:124]   %12 : int, %y.1 : Tensor = prim::Loop(%9, %6, %4, %3) # test_jit.py:3770:16
[DUMP profiling_graph_executor_impl.cpp:124]     block0(%i.2 : int, %15 : int, %y.7 : Tensor):
[DUMP profiling_graph_executor_impl.cpp:124]       %17 : Double(2) = prim::BailOut[index=1](%y.7, %z.1, %counters.1, %9, %11, %i.2, %15)
[DUMP profiling_graph_executor_impl.cpp:124]       %18 : int[] = aten::append(%counters.1, %15) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %19 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %20 : Tensor = aten::ones(%19, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %21 : Double(1) = prim::BailOut[index=2](%20, %z.1, %counters.1, %9, %11, %i.2, %15, %17)
[DUMP profiling_graph_executor_impl.cpp:124]       %22 : Tensor[] = prim::ListConstruct(%17, %21)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.5 : Double(3) = aten::cat(%22, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %24 : int = prim::Constant[value=1]()
[DUMP profiling_graph_executor_impl.cpp:124]       %25 : int = aten::add(%15, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %26 : int[] = aten::append(%counters.1, %25) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %27 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %28 : Tensor = aten::ones(%27, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %29 : Double(1) = prim::BailOut[index=3](%28, %z.1, %counters.1, %9, %11, %i.2, %y.5, %25)
[DUMP profiling_graph_executor_impl.cpp:124]       %30 : Tensor[] = prim::ListConstruct(%y.5, %29)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.9 : Double(4) = aten::cat(%30, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %32 : int = aten::add(%25, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %33 : int[] = aten::append(%counters.1, %32) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %34 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %35 : Tensor = aten::ones(%34, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %36 : Double(1) = prim::BailOut[index=4](%35, %z.1, %counters.1, %9, %11, %i.2, %y.9, %32)
[DUMP profiling_graph_executor_impl.cpp:124]       %37 : Tensor[] = prim::ListConstruct(%y.9, %36)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.10 : Double(5) = aten::cat(%37, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %39 : int = aten::add(%32, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %40 : int[] = aten::append(%counters.1, %39) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %41 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %42 : Tensor = aten::ones(%41, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %43 : Double(1) = prim::BailOut[index=5](%42, %z.1, %counters.1, %9, %11, %i.2, %y.10, %39)
[DUMP profiling_graph_executor_impl.cpp:124]       %44 : Tensor[] = prim::ListConstruct(%y.10, %43)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.11 : Double(6) = aten::cat(%44, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %46 : int = aten::add(%39, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %47 : int[] = aten::append(%counters.1, %46) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %48 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %49 : Tensor = aten::ones(%48, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %50 : Double(1) = prim::BailOut[index=6](%49, %z.1, %counters.1, %9, %11, %i.2, %y.11, %46)
[DUMP profiling_graph_executor_impl.cpp:124]       %51 : Tensor[] = prim::ListConstruct(%y.11, %50)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.12 : Double(7) = aten::cat(%51, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %53 : int = aten::add(%46, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %54 : int[] = aten::append(%counters.1, %53) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %55 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %56 : Tensor = aten::ones(%55, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %57 : Double(1) = prim::BailOut[index=7](%56, %z.1, %counters.1, %9, %11, %i.2, %y.12, %53)
[DUMP profiling_graph_executor_impl.cpp:124]       %58 : Tensor[] = prim::ListConstruct(%y.12, %57)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.13 : Double(8) = aten::cat(%58, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %60 : int = aten::add(%53, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %61 : int[] = aten::append(%counters.1, %60) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %62 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %63 : Tensor = aten::ones(%62, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %64 : Double(1) = prim::BailOut[index=8](%63, %z.1, %counters.1, %9, %11, %i.2, %y.13, %60)
[DUMP profiling_graph_executor_impl.cpp:124]       %65 : Tensor[] = prim::ListConstruct(%y.13, %64)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.14 : Double(9) = aten::cat(%65, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %67 : int = aten::add(%60, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       %68 : int[] = aten::append(%counters.1, %67) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %69 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %70 : Tensor = aten::ones(%69, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %71 : Double(1) = prim::BailOut[index=9](%70, %z.1, %counters.1, %9, %11, %i.2, %y.14, %67)
[DUMP profiling_graph_executor_impl.cpp:124]       %72 : Tensor[] = prim::ListConstruct(%y.14, %71)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.15 : Tensor = aten::cat(%72, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %74 : int = aten::add(%67, %24)
[DUMP profiling_graph_executor_impl.cpp:124]       -> (%6, %74, %y.15)
[DUMP profiling_graph_executor_impl.cpp:124]   %75 : Double(10) = prim::BailOut[index=10](%y.1, %z.1, %counters.1, %11, %12)
[DUMP profiling_graph_executor_impl.cpp:124]   %76 : int, %y : Tensor = prim::Loop(%11, %6, %12, %75) # test_jit.py:3770:16
[DUMP profiling_graph_executor_impl.cpp:124]     block0(%i.1 : int, %79 : int, %y.6 : Tensor):
[DUMP profiling_graph_executor_impl.cpp:124]       %81 : Double(*) = prim::BailOut[index=11](%y.6, %z.1, %counters.1, %11, %i.1, %79)
[DUMP profiling_graph_executor_impl.cpp:124]       %82 : int[] = aten::append(%counters.1, %79) # test_jit.py:3771:20
[DUMP profiling_graph_executor_impl.cpp:124]       %83 : int[] = prim::ListConstruct(%z.1)
[DUMP profiling_graph_executor_impl.cpp:124]       %84 : Tensor = aten::ones(%83, %5, %5, %5, %5) # test_jit.py:3772:38
[DUMP profiling_graph_executor_impl.cpp:124]       %85 : Double(1) = prim::BailOut[index=12](%84, %counters.1, %11, %i.1, %79, %81)
[DUMP profiling_graph_executor_impl.cpp:124]       %86 : Tensor[] = prim::ListConstruct(%81, %85)
[DUMP profiling_graph_executor_impl.cpp:124]       %y.4 : Tensor = aten::cat(%86, %4) # test_jit.py:3772:24
[DUMP profiling_graph_executor_impl.cpp:124]       %88 : int = prim::Constant[value=1]()
[DUMP profiling_graph_executor_impl.cpp:124]       %89 : int = aten::add(%79, %88)
[DUMP profiling_graph_executor_impl.cpp:124]       -> (%6, %89, %y.4)
[DUMP profiling_graph_executor_impl.cpp:124]   %90 : Double(12) = prim::BailOut[index=13](%y, %counters.1)
[DUMP profiling_graph_executor_impl.cpp:124]   %91 : (Tensor, int[]) = prim::TupleConstruct(%90, %counters.1)
[DUMP profiling_graph_executor_impl.cpp:124]   return (%91)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31400

Differential Revision: D19172750

Pulled By: Krovatkin

fbshipit-source-id: 85d3aac4e80b65b83b6be3c0bca8075a731a2b7e
 2019-12-19 00:34:50 -08:00
Nikolay Korovaiko
118f1c633b refactor the way we are handling bailout counts 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/30410

Differential Revision: D18733370

Pulled By: Krovatkin

fbshipit-source-id: 0ea9dc0f3dd1a47bcc09f1d54745460f9bd71886
 2019-12-06 15:45:38 -08:00
Nikolay Korovaiko
d4c25add45 make sure the counter stays correct in between bailout transitions (#30186) 
Summary:
This fixes the second issue reported in https://github.com/pytorch/pytorch/issues/29909 namely, a loop counter is assigned the wrong values after transitioning to a bailout graph.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30186

Differential Revision: D18646845

Pulled By: Krovatkin

fbshipit-source-id: 1f7c601dd9f35892979385ffa132fb0886a4f203
 2019-12-03 14:59:08 -08:00
Nikolay Korovaiko
e3334723b2 fix a crash due in nested bailouts (#30097) 
Summary:
A prim::BailOut also needs to capture max trip counts as for some graphs they aren't constants and they are used in continuation graphs to figure out the remaining number of iterations to run.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30097

Differential Revision: D18624446

Pulled By: Krovatkin

fbshipit-source-id: 085d25981c6669f65848996cd2d50066cc252048
 2019-11-21 09:53:12 -08:00
Nikolay Korovaiko
bace0c8d7a remove a redundant move preventing a copy elision 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/29040

Differential Revision: D18272902

Pulled By: Krovatkin

fbshipit-source-id: 23d4546aeb8945b7c7a5d472f543171699fc08b9
 2019-11-01 13:13:00 -07:00
Nikolay Korovaiko
47faee2fae Switching tests to ProfilingExecutor (rebased) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/28535

Differential Revision: D18197932

Pulled By: Krovatkin

fbshipit-source-id: 2639b205e899f800787ee57c157447d54e4669c3
 2019-10-29 11:41:42 -07:00
davidriazati
a33dbccf60 Fix some return std::move warnings (#27384) 
Summary:
clang-tidy was complaining about these
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27384

Pulled By: driazati

Differential Revision: D17767412

fbshipit-source-id: 03e2630790edf3f6bbf9064e754156613032b464
 2019-10-04 12:30:13 -07:00
Nikolay Korovaiko
14d7d5718e Improvements to GuardElimination and InsertBailouts 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/25430

Differential Revision: D17584722

Pulled By: Krovatkin

fbshipit-source-id: 9db099b904d71572c1bf3aef5419d38435cecbb5
 2019-09-25 21:23:55 -07:00
Zachary DeVito
bdc57d3833 Merge ProfiledTensorType and TensorType (#24284) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24284

This PR finishes the unification of all Tensor types into a single object.
ProfiledTensorType is renamed to TensorType and the old TensorType is
deleted.

Notes:
* Fixes bug in merge for VaryingShape by changing its representation to an
 optional list of optional ints.
* Removes ProfiledTensorType::create(type) invocations that can now
  simply be expect calls on tensor type.

Test Plan: Imported from OSS

Differential Revision: D16794034

Pulled By: zdevito

fbshipit-source-id: 10362398d0bb166d0d385d74801e95d9b87d9dfc
 2019-08-20 13:01:28 -07:00
Nikolay Korovaiko
905b9a89b2 fix uninitialized variable in BailOutInserter 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/22596

Differential Revision: D16156883

Pulled By: Krovatkin

fbshipit-source-id: 8926262a2d3115f34400c9ebb0c98c540e1cc623
 2019-07-08 16:45:51 -07:00
Michael Suo
3b2844eeea Make CompilationUnit own Functions (#22202) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22202
ghimport-source-id: de6c963af1df76d2d6357155e64a5913ab879f76

Test Plan: Imported from OSS

Differential Revision: D15998761

Pulled By: suo

fbshipit-source-id: 5414a6424953738d823b265d20dc67dde6e5b2d8
 2019-07-04 17:12:00 -07:00
Nikolay Korovaiko
3f2a839dda Add comments to bailoug_graph.* 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/22161

Differential Revision: D15975355

Pulled By: Krovatkin

fbshipit-source-id: dca0095b4f05cff8277663ad38b65eeb44417f40
 2019-06-26 15:39:38 -07:00
Nikolay Korovaiko
a3fc6ed046 Hook up liveness into profiling pipeline. 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21881

Differential Revision: D15931627

Pulled By: Krovatkin

fbshipit-source-id: dc825a563c7aceb5f66a2ed2a600d550b70941b2
 2019-06-20 21:23:16 -07:00
Nikolay Korovaiko
a85305fdea Hook up profiled execution in the interpreter (#21799) 
Summary:
Rebasing https://github.com/pytorch/pytorch/pull/21616 onto master
Pull Request resolved: https://github.com/pytorch/pytorch/pull/21799

Differential Revision: D15832854

Pulled By: Krovatkin

fbshipit-source-id: 88d754446df2abc25ea86e46764848d48ee3a5fc
 2019-06-14 16:56:13 -07:00
Nikolay Korovaiko
30d6933016 BailOut Graphs 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21381

Differential Revision: D15724412

Pulled By: Krovatkin

fbshipit-source-id: 18e4a1916c7cd1baea76953d0087d6257e58c55b
 2019-06-10 11:49:38 -07:00