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runtimes/cuda: downgrade cuda and cudnn

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This commit reverts part of https://github.com/zml/zml/pull/238/files
This is required because XLA has a strong dependencies on CUDA 12.8 and
upgrading to 12.9 is impossible due to
https://github.com/NVIDIA/cccl/issues/4967
This commit is contained in:
Tarry Singh 2025-02-28 17:36:12 +00:00
parent ff1433d998
commit fa0ed045ef
1 changed files with 8 additions and 8 deletions
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16
runtimes/cuda/cuda.bzl
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@ -9,12 +9,12 @@ package(default_visibility = ["//visibility:public"])
ARCH = "linux-x86_64" ARCH = "linux-x86_64"
CUDA_REDIST_PREFIX = "https://developer.download.nvidia.com/compute/cuda/redist/" CUDA_REDIST_PREFIX = "https://developer.download.nvidia.com/compute/cuda/redist/"
CUDA_VERSION = "12.9.0" CUDA_VERSION = "12.8.1"
CUDA_REDIST_JSON_SHA256 = "4e4e17a12adcf8cac40b990e1618406cd7ad52da1817819166af28a9dfe21d4a" CUDA_REDIST_JSON_SHA256 = "249e28a83008d711d5f72880541c8be6253f6d61608461de4fcb715554a6cf17"
CUDNN_REDIST_PREFIX = "https://developer.download.nvidia.com/compute/cudnn/redist/" CUDNN_REDIST_PREFIX = "https://developer.download.nvidia.com/compute/cudnn/redist/"
CUDNN_VERSION = "9.10.1" CUDNN_VERSION = "9.8.0"
CUDNN_REDIST_JSON_SHA256 = "2ac8d48d3ab4de1acdce65fa3e8ecfb14750d4e101b05fe3307d2f95f2740563" CUDNN_REDIST_JSON_SHA256 = "a1599fa1f8dcb81235157be5de5ab7d3936e75dfc4e1e442d07970afad3c4843"
CUDA_PACKAGES = { CUDA_PACKAGES = {
"cuda_cudart": "\n".join([ "cuda_cudart": "\n".join([
@ -40,7 +40,7 @@ CUDA_PACKAGES = {
"cuda_nvtx": packages.cc_import_glob_hdrs( "cuda_nvtx": packages.cc_import_glob_hdrs(
name = "nvtx", name = "nvtx",
hdrs_glob = ["include/nvtx3/**/*.h"], hdrs_glob = ["include/nvtx3/**/*.h"],
shared_library = "lib/libnvtx3interop.so.1", shared_library = "lib/libnvToolsExt.so.1",
), ),
"libcufft": packages.cc_import( "libcufft": packages.cc_import(
name = "cufft", name = "cufft",
@ -88,7 +88,7 @@ CUDA_PACKAGES = {
), ),
packages.cc_import( packages.cc_import(
name = "nvrtc_builtins", name = "nvrtc_builtins",
shared_library = "lib/libnvrtc-builtins.so.12.9", shared_library = "lib/libnvrtc-builtins.so.12.8",
), ),
]), ]),
"libcublas": "\n".join([ "libcublas": "\n".join([
@ -202,9 +202,9 @@ def _cuda_impl(mctx):
http_archive( http_archive(
name = "nccl", name = "nccl",
urls = ["https://files.pythonhosted.org/packages/48/fb/ec4ac065d9b0d56f72eaf1d9b0df601e33da28197b32ca351dc05b342611/nvidia_nccl_cu12-2.26.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl"], urls = ["https://files.pythonhosted.org/packages/11/0c/8c78b7603f4e685624a3ea944940f1e75f36d71bd6504330511f4a0e1557/nvidia_nccl_cu12-2.25.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl"],
type = "zip", type = "zip",
sha256 = "ea5ed3e053c735f16809bee7111deac62ac35b10128a8c102960a0462ce16cbe", sha256 = "362aed5963fb9ea2ed2f264409baae30143498fd0e5c503aeaa1badd88cdc54a",
build_file_content = _BUILD_FILE_DEFAULT_VISIBILITY + packages.cc_import( build_file_content = _BUILD_FILE_DEFAULT_VISIBILITY + packages.cc_import(
name = "nccl", name = "nccl",
shared_library = "nvidia/nccl/lib/libnccl.so.2", shared_library = "nvidia/nccl/lib/libnccl.so.2",