rocm_jax/WORKSPACE

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# The XLA commit is determined by third_party/xla/workspace.bzl.
load("//third_party/xla:workspace.bzl", jax_xla_workspace = "repo")
jax_xla_workspace()
# Initialize hermetic Python
load("@xla//third_party/py:python_init_rules.bzl", "python_init_rules")
python_init_rules()
load("@xla//third_party/py:python_init_repositories.bzl", "python_init_repositories")
python_init_repositories(
requirements = {
"3.10": "//build:requirements_lock_3_10.txt",
"3.11": "//build:requirements_lock_3_11.txt",
"3.12": "//build:requirements_lock_3_12.txt",
"3.13": "//build:requirements_lock_3_13.txt",
"3.13-ft": "//build:requirements_lock_3_13_ft.txt",
},
local_wheel_inclusion_list = [
"jaxlib*",
"jax_cuda*",
"jax-cuda*",
],
local_wheel_workspaces = ["//jaxlib:jax.bzl"],
local_wheel_dist_folder = "../dist",
default_python_version = "system",
)
load("@xla//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")
python_init_toolchains()
load("@xla//third_party/py:python_init_pip.bzl", "python_init_pip")
python_init_pip()
load("@pypi//:requirements.bzl", "install_deps")
install_deps()
# Optional, to facilitate testing against newest versions of Python
load("@xla//third_party/py:python_repo.bzl", "custom_python_interpreter")
custom_python_interpreter(
name = "python_dev",
urls = ["https://www.python.org/ftp/python/{version}/Python-{version_variant}.tgz"],
strip_prefix = "Python-{version_variant}",
version = "3.13.0",
version_variant = "3.13.0rc2",
)
load("@xla//:workspace4.bzl", "xla_workspace4")
xla_workspace4()
load("@xla//:workspace3.bzl", "xla_workspace3")
xla_workspace3()
load("@xla//:workspace2.bzl", "xla_workspace2")
xla_workspace2()
load("@xla//:workspace1.bzl", "xla_workspace1")
xla_workspace1()
load("@xla//:workspace0.bzl", "xla_workspace0")
xla_workspace0()
load("//third_party/flatbuffers:workspace.bzl", flatbuffers = "repo")
flatbuffers()
Introduce hermetic CUDA in Google ML projects. 1) Hermetic CUDA rules allow building wheels with GPU support on a machine without GPUs, as well as running Bazel GPU tests on a machine with only GPUs and NVIDIA driver installed. When `--config=cuda` is provided in Bazel options, Bazel will download CUDA, CUDNN and NCCL redistributions in the cache, and use them during build and test phases. [Default location of CUNN redistributions](https://developer.download.nvidia.com/compute/cudnn/redist/) [Default location of CUDA redistributions](https://developer.download.nvidia.com/compute/cuda/redist/) [Default location of NCCL redistributions](https://pypi.org/project/nvidia-nccl-cu12/#history) 2) To include hermetic CUDA rules in your project, add the following in the WORKSPACE of the downstream project dependent on XLA. Note: use `@local_tsl` instead of `@tsl` in Tensorflow project. ``` load( "@tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl", "cuda_json_init_repository", ) cuda_json_init_repository() load( "@cuda_redist_json//:distributions.bzl", "CUDA_REDISTRIBUTIONS", "CUDNN_REDISTRIBUTIONS", ) load( "@tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl", "cuda_redist_init_repositories", "cudnn_redist_init_repository", ) cuda_redist_init_repositories( cuda_redistributions = CUDA_REDISTRIBUTIONS, ) cudnn_redist_init_repository( cudnn_redistributions = CUDNN_REDISTRIBUTIONS, ) load( "@tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl", "cuda_configure", ) cuda_configure(name = "local_config_cuda") load( "@tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl", "nccl_redist_init_repository", ) nccl_redist_init_repository() load( "@tsl//third_party/nccl/hermetic:nccl_configure.bzl", "nccl_configure", ) nccl_configure(name = "local_config_nccl") ``` PiperOrigin-RevId: 662981325
2024-08-14 10:57:53 -07:00
load(
"@tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
"cuda_json_init_repository",
)
cuda_json_init_repository()
load(
"@cuda_redist_json//:distributions.bzl",
"CUDA_REDISTRIBUTIONS",
"CUDNN_REDISTRIBUTIONS",
)
load(
"@tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
"cuda_redist_init_repositories",
"cudnn_redist_init_repository",
)
cuda_redist_init_repositories(
cuda_redistributions = CUDA_REDISTRIBUTIONS,
)
cudnn_redist_init_repository(
cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
)
load(
"@tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
"cuda_configure",
)
cuda_configure(name = "local_config_cuda")
load(
"@tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
"nccl_redist_init_repository",
)
nccl_redist_init_repository()
load(
"@tsl//third_party/nccl/hermetic:nccl_configure.bzl",
"nccl_configure",
)
nccl_configure(name = "local_config_nccl")