pytorch/caffe2
2023-09-29 18:09:49 +00:00
..
contrib Revert "Add _foreach_clamp (#106574)" 2023-08-11 21:05:04 +00:00
core [Reland] Eliminate invocations of c10::stoi,c10::stod,c10::stoull,c10::stoll (#109566) 2023-09-19 07:15:25 +00:00
cuda_rtc
db
distributed [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
experiments [BE] Remove dependency on six and future (#94709) 2023-02-14 09:14:14 +00:00
ideep [ONEDNN][BC-breaking] update onednn from v2.7.3 to v3.1.1 (#97957) 2023-08-25 12:13:18 +00:00
image
mobile
mpi [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
observers
onnx
operators [caffe2] Add enforce inside ScatterAssignOp (#106882) 2023-08-10 21:46:13 +00:00
opt [Reland] Eliminate invocations of c10::stoi,c10::stod,c10::stoull,c10::stoll (#109566) 2023-09-19 07:15:25 +00:00
perfkernels Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
predictor
proto extract torch.proto to its own library (#97614) 2023-03-30 10:35:03 +00:00
python [Codemod][[codemod] Replace third-party mock with unittest.mock] caffe2/caffe2 (#106541) 2023-09-29 18:09:49 +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 Fix inline_container_test on Windows (#109754) 2023-09-21 07:46:25 +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
transforms Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
utils Don't link to libcpuinfo on s390x (#109875) 2023-09-26 12:43:35 +00:00
video
__init__.py
.clang-format
BUILD_MODE.bzl
CMakeLists.txt Revert "Enable function declaration check in Vulkan and Metal backends (#106762)" 2023-09-28 13:32:10 +00:00
README.md
release-notes.md
requirements.txt
unexported_symbols.lds
VERSION_NUMBER
version_script.lds

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