pytorch/caffe2
2022-06-29 19:41:12 +00:00
..
contrib
core turn on -Werror=type-limits in our Bazel CPU build 2022-06-10 10:04:08 +00:00
cuda_rtc
db
distributed
experiments
ideep turn on -Werror=unused-function in our Bazel CPU build 2022-06-10 22:11:54 +00:00
image
mobile
mpi
observers
onnx
operators
opt turn on -Werror=unused-function in our Bazel CPU build 2022-06-10 22:11:54 +00:00
perfkernels
predictor print available modules in predictor error message (#78101) 2022-05-24 18:47:06 +00:00
proto
python [ONNX] Update onnx submodule to 1.12 (#79585) 2022-06-23 18:09:07 +00:00
quantization
queue
serialize Updating miniz library from version 2.0.8 -> 2.1.0 (#79636) 2022-06-22 15:02:16 +00:00
sgd
share
test
transforms
utils Explicitly convert to double for comparison (#79964) 2022-06-21 22:46:52 +00:00
video
.clang-format
__init__.py
BUILD_MODE.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
CMakeLists.txt Revert "Add objective-c language support in CMake (#80432)" 2022-06-29 19:41:12 +00:00
defs.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
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README.md
release-notes.md
requirements.txt
unexported_symbols.lds
VERSION_NUMBER
version_script.lds

Caffe2

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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