pytorch/caffe2
Serkan Karakulak 52e8af57a6 [3/N] Update ema_teacher_arch in the backward call (#92080)
Summary: adding support for updating ema_teacher_arch in C2 backend

Test Plan:
baseline
f397096610

EMA run
f397096864

Differential Revision: D41124891

Pull Request resolved: https://github.com/pytorch/pytorch/pull/92080
Approved by: https://github.com/kit1980
2023-01-20 02:29:42 +00:00
..
contrib Fix typos in .md and .rst files (#88962) 2022-11-17 03:37:02 +00:00
core Fixes to DSA infra (#91835) 2023-01-12 21:54:26 +00:00
cuda_rtc
db
distributed
experiments
ideep [MKLDNN] Rename pooling_avg to pooling_avg_exclude_padding (#90247) 2023-01-12 00:08:30 +00:00
image
mobile Fix typos under caffe2 directory (#87840) 2022-10-28 04:53:36 +00:00
mpi
observers
onnx
operators Fix typo in segment_reduction_op_gpu.cu (#89647) 2022-11-25 19:26:18 +00:00
opt
perfkernels add bf16 in fp32 out fast path for embedingbag in caffe2 perfkernel (#89198) 2022-11-30 13:06:13 +00:00
predictor
proto
python [3/N] Update ema_teacher_arch in the backward call (#92080) 2023-01-20 02:29:42 +00:00
quantization Fix typos under caffe2 directory (#87840) 2022-10-28 04:53:36 +00:00
queue
serialize Add an option to skip loading of debug traces (#91430) 2022-12-29 22:53:17 +00:00
sgd [CUDA] Drop CUDA 10 support (#89582) 2023-01-05 05:11:53 +00:00
share
test
transforms
utils [CUDA] Drop CUDA 10 support (#89582) 2023-01-05 05:11:53 +00:00
video [codemod][llvm15] LLVM-15 fixes for caffe2/caffe2/video/video_decoder.cc (#89937) 2022-12-01 03:46:22 +00:00
.clang-format
__init__.py
BUILD_MODE.bzl
CMakeLists.txt Revert "[cuDNN][cuDNN V8 API] Always build assuming cuDNN >= 8.0 (#91527)" 2023-01-16 13:28:09 +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
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.

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