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pytorch/caffe2
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Nikita Shulga 8279567c46 Link LazyLinalg with cusolver statically when needed (#79324) 
By copy-n-pasting the static linking logic from `libtorch_cuda` if
lazylinalg is not enabled

Pull Request resolved: https://github.com/pytorch/pytorch/pull/79324
Approved by: https://github.com/atalman
2022-06-14 04:24:27 +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 [caffe2] fix type annotations for workspace.SwitchWorkspace() (#77464) 2022-05-20 19:22:06 +00:00
quantization
queue
serialize
sgd
share
test
transforms
utils
video
.clang-format
__init__.py
BUILD_MODE.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
CMakeLists.txt Link LazyLinalg with cusolver statically when needed (#79324) 2022-06-14 04:24:27 +00:00
defs.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
defs_hip.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
README.md
release-notes.md
requirements.txt
unexported_symbols.lds
VERSION_NUMBER
version_script.lds

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