pytorch/third_party
Eddie Yan df4f0b3829 [BE] [cuDNN] Always build assuming cuDNN >= 8.0 (#95722)
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### <samp>🤖 Generated by Copilot at 27084ed</samp>

This pull request simplifies and cleans up the code that uses the cuDNN library for convolution, batch normalization, CTC loss, and quantized operations. It removes the unnecessary checks and conditions for older cuDNN versions and the experimental cuDNN v8 API, and ~~replaces them with the stable `cudnn_frontend` API that requires cuDNN v8 or higher. It also adds the dependency and configuration for the `cudnn_frontend` library in the cmake and bazel files.~~ Correction: The v7 API will still be available with this PR, and can still be used, without any changes to the defaults. This change simply always _builds_ the v8 API, and removes the case where _only_ the v7 API is built.

This is a re-land of https://github.com/pytorch/pytorch/pull/91527

Pull Request resolved: https://github.com/pytorch/pytorch/pull/95722
Approved by: https://github.com/malfet
2023-11-08 07:53:23 +00:00
..
benchmark@0d98dba29d
cpuinfo@6481e8bef0
cub@d106ddb991
cudnn_frontend@12f35fa2be [BE]: Update cudnn_frontend submodule to v0.9.2. (#107525) 2023-08-20 05:26:42 +00:00
cutlass@44c704eae8 [Cutlass 3.2.2 submodule upgrade] Adapt Inductor cutlass backend to Cutlass 3.2.2 (#112762) 2023-11-04 00:10:50 +00:00
eigen@3147391d94
fbgemm@d4eec11d72 Automated submodule update: FBGEMM (#112118) 2023-10-27 18:14:54 +00:00
flatbuffers@01834de25e
fmt@f5e54359df Update libfmt submodule to 10.1.1 (#108431) 2023-09-03 23:44:39 +00:00
foxi@c278588e34
FP16@4dfe081cf6
FXdiv@b408327ac2
gemmlowp
gloo@cf1e1abc95 SymIntify convolution (#111599) 2023-10-21 03:03:20 +00:00
googletest@e2239ee604
ideep@13dd1fdc62 [submodule] Fix eltwise share buffer issue in ideep (#108038) 2023-09-13 00:53:57 +00:00
ios-cmake@8abaed637d
ittapi@5b8a7d7422
kineto@a30ca3f950 [Profiler] Manual Submodule Update for Kineto (#112540) 2023-11-01 16:03:04 +00:00
mimalloc@b66e3214d8 Enable mimalloc on pytorch Windows (#102595) 2023-06-27 08:53:26 +00:00
miniz-2.1.0
nccl [BE]: Update NCCL submodule to v2.19.3 (#110827) 2023-10-09 13:37:26 +00:00
neon2sse@97a126f08c
nlohmann@87cda1d664
NNPACK@c07e3a0400
onnx@ccde5da813 Update onnx 1.15.0rc2 submodule (#111964) 2023-10-25 16:41:45 +00:00
onnx-tensorrt@c153211418
pocketfft@ea778e3771
protobuf@d1eca4e4b4
psimd@072586a71b
pthreadpool@a134dd5d4c
pybind11@8a099e44b3 Update pybind11 submodule to 2.11.0 (#105245) 2023-07-19 19:56:16 +00:00
python-peachpy@f45429b087
QNNPACK@7d2a4e9931
sleef@e0a003ee83
tbb@a51a90bc60
tensorflow_cuda_bazel_build/cuda
tensorpipe@52791a2fd2
valgrind-headers
VulkanMemoryAllocator@a6bfc23725
XNNPACK@51a987591a
zstd@aec56a52fb
BUCK.oss
BUILD
build_bundled.py
cuda.BUILD
cudnn.BUILD
cudnn_frontend.BUILD [BE] [cuDNN] Always build assuming cuDNN >= 8.0 (#95722) 2023-11-08 07:53:23 +00:00
cutlass.BUILD
eigen.BUILD
fmt.BUILD
foxi.BUILD
generate-cpuinfo-wrappers.py
generate-xnnpack-wrappers.py
glog.buck.bzl
gloo.BUILD
ideep.BUILD
kineto.buck.bzl
kineto.BUILD
LICENSES_BUNDLED.txt [BC BREAKING] Remove outdated python submodules (#108236) 2023-09-02 06:24:20 +00:00
METADATA.bzl
mkl-dnn.BUILD [ONEDNN][BC-breaking] update onednn from v2.7.3 to v3.1.1 (#97957) 2023-08-25 12:13:18 +00:00
mkl.BUILD
mkl_headers.BUILD
onnx.BUILD [ONNX] bump onnx submodule to rel-1.15.0 (#110663) 2023-10-10 21:44:09 +00:00
README.md
sleef.BUILD
sleef.bzl
substitution.bzl
tbb.BUILD
tbb.patch
tensorpipe.BUILD
xnnpack.buck.bzl Fix iphoneos compilation (#111502) 2023-10-27 20:00:41 +00:00
xnnpack_src_defs.bzl
xnnpack_wrapper_defs.bzl

This folder contains vendored copies of third-party libraries that we use.