pytorch/caffe2
2023-10-10 20:39:12 +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 [4/N] Add -Wdeprecated and related fixes (#110204) 2023-10-07 19:46:08 +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 Fix typo under caffe2 directory (#110825) 2023-10-08 20:48:12 +00:00
opt Fix typo under caffe2 directory (#110825) 2023-10-08 20:48:12 +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 Fix typo under caffe2 directory (#110825) 2023-10-08 20:48:12 +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 [1/N] Enable Wunused-result and Wunused-variable in torch targets (#110722) 2023-10-08 23:43:45 +00:00
sgd
share Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
test
transforms [1/N] Enable Wunused-result and Wunused-variable in torch targets (#110722) 2023-10-08 23:43:45 +00:00
utils [1/N] Enable Wunused-result and Wunused-variable in torch targets (#110722) 2023-10-08 23:43:45 +00:00
video
__init__.py
.clang-format
BUILD_MODE.bzl
CMakeLists.txt Revert "Move at::{Refcounted,}MapAllocator to c10 (#109881)" 2023-10-10 20:39:12 +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