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pytorch/caffe2
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Bin Bao 4946638f06 [AOTI] Add ABI-compatiblity tests (#123848) 
Summary: In AOTInductor generated CPU model code, there can be direct references to some aten/c10 utility functions and data structures, e.g. at::vec and c10::Half. These are performance critical and thus it doesn't make sense to create C shim for them. Instead, we make sure they are implemented in a header-only way, and use this set of tests to guard future changes.

There are more header files to be updated, but we will do it in other followup PRs.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/123848
Approved by: https://github.com/jansel
ghstack dependencies: #123847
2024-04-19 00:51:24 +00:00
..
contrib
[TorchGen] Use std::optional in generated code (#121454)
2024-03-29 14:11:09 +00:00
core
[cuDNN] Cleanup cuDNN < 8.1 ifdefs (#120862)
2024-03-07 01:46:25 +00:00
cuda_rtc
Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032)
2022-07-26 01:20:44 +00:00
db
[NOOP][clangformat][codemod] Enable CLANGFORMAT for caffe2/caffe2/* (#67624)
2021-11-02 22:14:04 -07:00
distributed
[4/N] Add -Wdeprecated and related fixes (#110204)
2023-10-07 19:46:08 +00:00
experiments
[codemod] Remove unused variables in caffe2/caffe2/experiments/operators/tt_pad_op.h (#120177)
2024-03-19 23:36:52 +00:00
ideep
[codemod] Fix some namespace issues in caffe2 (#121847)
2024-04-01 17:45:16 +00:00
image
Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032)
2022-07-26 01:20:44 +00:00
mobile
Fix typos under caffe2 directory (#87840)
2022-10-28 04:53:36 +00:00
mpi
[BE] Enforce missing override keyword (#104032)
2023-06-24 02:34:24 +00:00
observers
[NOOP][clangformat][codemod] Enable CLANGFORMAT for caffe2/caffe2/* (#67624)
2021-11-02 22:14:04 -07:00
onnx
[codemod][highrisk] Fix shadowed variable in caffe2/caffe2/onnx/onnx_exporter.cc (#117996)
2024-01-22 22:57:06 +00:00
operators
[codemod] Remove unused variables in caffe2/caffe2/operators/softmax_op_cudnn.cc (#121995)
2024-03-19 22:35:58 +00:00
opt
[codemod] Fix some namespace issues in caffe2 (#121847)
2024-04-01 17:45:16 +00:00
perfkernels
[caffe2] Add an avx512 implementation of adagrad_update (#113289)
2024-02-15 01:45:30 +00:00
predictor
print available modules in predictor error message (#78101)
2022-05-24 18:47:06 +00:00
proto
extract torch.proto to its own library (#97614)
2023-03-30 10:35:03 +00:00
python
Move doc links to point to main (#121823)
2024-03-15 19:49:37 +00:00
quantization
[BE]: Apply PYI autofixes to various types (#107521)
2023-08-20 02:42:21 +00:00
queue
[caffe2] Replace CAFFE_ prefixes in static_tracepoint.h macros with TORCH_ (#106380)
2023-08-03 21:51:36 +00:00
serialize
Expose recordSize in ChunkRecordIterator (#120239)
2024-02-21 04:33:03 +00:00
sgd
[CUDA] Drop CUDA 10 support (#89582)
2023-01-05 05:11:53 +00:00
share
Revert "Use missing-prototypes in torch_cpu (#103725)"
2023-06-22 18:30:31 +00:00
test
Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032)
2022-07-26 01:20:44 +00:00
transforms
[1/N] Enable Wunused-result and Wunused-variable in torch targets (#110722)
2023-10-08 23:43:45 +00:00
utils
[codemod][lowrisk] Fix deprecated use of 0/NULL (#120740)
2024-02-28 20:13:13 +00:00
video
[codemod] Remove unused variables in caffe2/caffe2/video/video_decoder.cc (#122151)
2024-03-19 22:34:17 +00:00
__init__.py
Add warning when importing caffe2 on build without BUILD_CAFFE2=1
2022-04-21 12:28:10 +00:00
.clang-format
…
BUILD_MODE.bzl
Add all bzl files per D36874458
2022-06-06 09:40:19 -07:00
CMakeLists.txt
[AOTI] Add ABI-compatiblity tests (#123848)
2024-04-19 00:51:24 +00:00
README.md
Update README.md (#85534)
2022-11-17 01:06:15 +00:00
release-notes.md
Fix typos under caffe2 directory (#87840)
2022-10-28 04:53:36 +00:00
requirements.txt
Remove references to typing module from setup.py (#47677)
2020-11-12 10:04:38 -08:00
unexported_symbols.lds
Hide all symbols in llvm namespace (#63272)
2021-08-15 11:29:43 -07:00
VERSION_NUMBER
…
version_script.lds
Hide all symbols in llvm namespace (#63272)
2021-08-15 11:29:43 -07:00

README.md

Caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.

Questions and Feedback

Please use GitHub issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.

Further Resources on Caffe2.ai