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pytorch/caffe2
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Edward Z. Yang 9b1dbffba5 Re-sync with internal repository (#20702)
2019-05-20 09:22:57 -04:00
..
contrib
Enable ROCm multi-gpu with Gloo
2019-05-07 09:55:47 -07:00
core
Re-sync with internal repository (#20702)
2019-05-20 09:22:57 -04:00
cuda_rtc
Change ConvPoolOp<Context>::SetOutputSize to ConvPoolOp<Context>::GetOutputSize (#17764)
2019-03-07 18:38:53 -08:00
db
Apply modernize-use-override (2nd iteration)
2019-02-14 16:52:57 -08:00
distributed
Manual hipify caffe2/distributed and rocm update (no hcc modules support) (#18088)
2019-03-29 11:07:32 -07:00
experiments
Tensor construction codemod(ResizeLike) - 1/7 (#15073)
2018-12-19 21:38:48 -08:00
ideep
Remove useless input shape checker in conv (#19608)
2019-04-24 11:39:43 -07:00
image
Clang-format ImageInputOp (#20441)
2019-05-16 23:00:09 -07:00
mobile
update legacy plus one for mpscnn
2019-05-16 18:17:18 -07:00
mpi
Tensor construction codemod(ResizeLike) - 3/7 (#15122)
2018-12-14 02:08:37 -08:00
observers
Remove GPU dependency from ProfileObserver (#17592)
2019-03-04 10:00:46 -08:00
onnx
Export randn_like in ONNX exporter (#20093)
2019-05-06 14:54:46 -07:00
operators
Options based registration API (#20514)
2019-05-17 20:54:42 -07:00
opt
Change onnxifi workflow to support multi-group quantized & Add multi quantization info to caffe2.proto (#20439)
2019-05-15 19:24:08 -07:00
perfkernels
eliminate FE_INVALID exceptions related to fp16 conversion (#20390)
2019-05-13 23:42:01 -07:00
predictor
Removing cyclic dependency (#20511)
2019-05-14 18:55:19 -07:00
proto
Add support for __getstate__/__setstate__ on module (#20242)
2019-05-17 14:43:14 -07:00
python
Re-sync with internal repository (#20702)
2019-05-20 09:22:57 -04:00
quantization
eliminate FE_INVALID exceptions related to fp16 conversion (#20390)
2019-05-13 23:42:01 -07:00
queue
Revert "Tensor construction codemod(raw_mutable_data) (#16373)" (#18680)
2019-04-01 14:39:13 -07:00
serialize
Add PyTorchPredictorContainer (#15899)
2019-01-15 09:18:18 -08:00
sgd
shape inference for learning rate op (#20020)
2019-05-14 23:34:32 -07:00
share
Change ConvPoolOp<Context>::SetOutputSize to ConvPoolOp<Context>::GetOutputSize (#17764)
2019-03-07 18:38:53 -08:00
test
move flags to c10 (#12144)
2018-10-04 02:09:56 -07:00
transforms
fix -Wsign-compare warnings for some files inside c2 (#18123)
2019-03-19 10:39:20 -07:00
utils
enable CopyVector for type of int on CUDA (#20520)
2019-05-15 16:53:51 -07:00
video
codemode change missing [from D13586737]
2019-05-13 20:44:04 -07:00
__init__.py
Experimental support for setup.py develop mode install
2018-02-12 23:36:18 -08:00
.clang-format
Add clang-format style file to caffe2
2018-02-05 20:35:18 -08:00
CMakeLists.txt
Forcing gcc ABI and safer bash scripts, v2 (#20540)
2019-05-16 09:40:01 -07:00
README.md
Fix issues link in Caffe2 readme (#10711)
2018-08-20 16:55:11 -07:00
release-notes.md
Cleanup of the shipit commit (#8956)
2018-06-27 14:41:59 -07:00
requirements.txt
Add typing into caffe2 requirements.txt for USE_ATEN (#10047)
2018-07-30 20:09:21 -07:00
VERSION_NUMBER
move flags to c10 (#12144)
2018-10-04 02:09:56 -07:00

README.md

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