Summary:
Follow up to https://github.com/pytorch/pytorch/issues/68095
This also changes the files from the ATen folder to include c10's `Export.h` instead since they can't ever be exporting `TORCH_PYTHON_API`.
cc pietern mrshenli pritamdamania87 zhaojuanmao satgera rohan-varma gqchen aazzolini osalpekar jiayisuse SciPioneer H-Huang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69585
Reviewed By: mrshenli
Differential Revision: D32958594
Pulled By: albanD
fbshipit-source-id: 1ec7ef63764573fa2b486928955e3a1172150061
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/64516
If fuser compilation fails due to a bug (which should be highly
unlikely at this point) we want to direct the user how to unblock themselves by
disabling fusion, in addition to requesting that they report a bug.
ghstack-source-id: 137398537
Test Plan: existing tests
Reviewed By: ZolotukhinM
Differential Revision: D30758051
fbshipit-source-id: 98be89f1b1d4fb3bc816f5b2634c618b9297930e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/64332
With this diff, if a compiler bug occurs (unlikely, I know!) we'll be able to get a c++ stacktrace leading to the exception, rather than just a terse message. E.g.,
```
RuntimeError: UNSUPPORTED DTYPE
Exception raised from compilation_error at ../torch/csrc/jit/tensorexpr/exceptions.h:32 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x6b (0x7f966659b2eb in /fsx/users/bertrand/c\
onda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #1: <unknown function> + 0x376f099 (0x7f966a195099 in /fsx/users/bertrand/conda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libtorch_cuda.so)
frame #2: <unknown function> + 0x3763bf5 (0x7f966a189bf5 in /fsx/users/bertrand/conda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libtorch_cuda.so)
frame #3: torch::jit::tensorexpr::CudaCodeGen::Initialize() + 0xdd8 (0x7f966a193368 in /fsx/users/bertrand/conda/envs/pytorch/lib/python3.8/site-packages/torch/lib/libtorch_cuda\
.so)
```
Test Plan: Imported from OSS
Reviewed By: huiguoo
Differential Revision: D30745610
Pulled By: bertmaher
fbshipit-source-id: a1cfaa7364ef4120de834e9cbe57ced1d082ab4e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63195
This helps us to later switch from using KernelArena with raw pointers
to shared pointers without having to change all our source files at
once.
The changes are mechanical and should not affect any functionality.
With this PR, we're changing the following:
* `Add*` --> `AddPtr`
* `new Add(...)` --> `alloc<Add>(...)`
* `dynamic_cast<Add*>` --> `to<Add>`
* `static_cast<Add*>` --> `static_to<Add>`
Due to some complications with args forwarding, some places became more
verbose, e.g.:
* `new Block({})` --> `new Block(std::vector<ExprPtr>())`
Test Plan: Imported from OSS
Reviewed By: navahgar
Differential Revision: D30292779
Pulled By: ZolotukhinM
fbshipit-source-id: 150301c7d2df56b608b035827b6a9a87f5e2d9e9
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/62336
This PR was generated by removing `const` for all types of nodes in NNC IR, and fixing compilation errors that were the result of this change.
This is the first step in making all NNC mutations in-place.
Test Plan: Imported from OSS
Reviewed By: iramazanli
Differential Revision: D30049829
Pulled By: navahgar
fbshipit-source-id: ed14e2d2ca0559ffc0b92ac371f405579c85dd63
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/52901
This PR implements IR Verifier and adds a call to it in `LoopNest`
constructors. Checks that were in expr/stmt constructors before are now
moved to the corresponding `::make` functions or to the verifier. They
didn't really help from the constructors anyway since an exception
thrown from there led to a segfault due to the fact our memory
management works (object was not fully created but was registered in the
kernel arena for destruction anyway).
Fixes#52778.
Test Plan: Imported from OSS
Reviewed By: navahgar
Differential Revision: D26682928
Pulled By: ZolotukhinM
fbshipit-source-id: c56524015cdffb1ed8bce4394509961a4071dcfa
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
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34842
This PR (hopefully the last one of such kind) is merging changes from a
side branch where tensor expessions based fuser work has been done so
far. This PR is is a squashed version of changes in the side branch,
which is available here: https://github.com/bertmaher/pytorch
Differential Revision: D20478208
Test Plan: Imported from OSS
Pulled By: ZolotukhinM
fbshipit-source-id: 21556e009f1fd88099944732edba72ac40e9b9c0
