tensorflow/WORKSPACE

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# buildifier: disable=load-on-top
workspace(name = "org_tensorflow")
# buildifier: disable=load-on-top
# We must initialize hermetic python first.
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
http_archive(
name = "rules_java",
sha256 = "c73336802d0b4882e40770666ad055212df4ea62cfa6edf9cb0f9d29828a0934",
url = "https://github.com/bazelbuild/rules_java/releases/download/5.3.5/rules_java-5.3.5.tar.gz",
)
# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")
tf_workspace3()
# Initialize hermetic Python
load("@local_tsl//third_party/py:python_init_rules.bzl", "python_init_rules")
python_init_rules()
load("@local_tsl//third_party/py:python_init_repositories.bzl", "python_init_repositories")
python_init_repositories(
default_python_version = "system",
local_wheel_dist_folder = "dist",
local_wheel_inclusion_list = [
"tensorflow*",
],
local_wheel_workspaces = ["//:WORKSPACE"],
requirements = {
"3.9": "//:requirements_lock_3_9.txt",
"3.10": "//:requirements_lock_3_10.txt",
"3.11": "//:requirements_lock_3_11.txt",
"3.12": "//:requirements_lock_3_12.txt",
},
)
load("@local_tsl//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")
python_init_toolchains()
load("@local_tsl//third_party/py:python_init_pip.bzl", "python_init_pip")
python_init_pip()
load("@pypi//:requirements.bzl", "install_deps")
install_deps()
# End hermetic Python initialization
load("@//tensorflow:workspace2.bzl", "tf_workspace2")
tf_workspace2()
load("@//tensorflow:workspace1.bzl", "tf_workspace1")
tf_workspace1()
load("@//tensorflow:workspace0.bzl", "tf_workspace0")
tf_workspace0()
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 17:57:53 +00:00
load(
"@local_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(
"@local_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(
"@local_tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
"cuda_configure",
)
cuda_configure(name = "local_config_cuda")
load(
"@local_tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
"nccl_redist_init_repository",
)
nccl_redist_init_repository()
load(
"@local_tsl//third_party/nccl/hermetic:nccl_configure.bzl",
"nccl_configure",
)
nccl_configure(name = "local_config_nccl")