mirror of
https://github.com/ROCm/jax.git
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599c13aa09
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
109 lines
2.8 KiB
Python
109 lines
2.8 KiB
Python
# The XLA commit is determined by third_party/xla/workspace.bzl.
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load("//third_party/xla:workspace.bzl", jax_xla_workspace = "repo")
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jax_xla_workspace()
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# Initialize hermetic Python
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load("@xla//third_party/py:python_init_rules.bzl", "python_init_rules")
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python_init_rules()
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load("@xla//third_party/py:python_init_repositories.bzl", "python_init_repositories")
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python_init_repositories(
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requirements = {
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"3.10": "//build:requirements_lock_3_10.txt",
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"3.11": "//build:requirements_lock_3_11.txt",
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"3.12": "//build:requirements_lock_3_12.txt",
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"3.13": "//build:requirements_lock_3_13.txt",
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},
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local_wheel_inclusion_list = [
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"jaxlib*",
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"jax_cuda*",
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"jax-cuda*",
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],
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local_wheel_workspaces = ["//jaxlib:jax.bzl"],
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local_wheel_dist_folder = "../dist",
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default_python_version = "system",
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)
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load("@xla//third_party/py:python_init_toolchains.bzl", "python_init_toolchains")
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python_init_toolchains()
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load("@xla//third_party/py:python_init_pip.bzl", "python_init_pip")
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python_init_pip()
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load("@pypi//:requirements.bzl", "install_deps")
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install_deps()
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# Optional, to facilitate testing against newest versions of Python
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load("@xla//third_party/py:python_repo.bzl", "custom_python_interpreter")
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custom_python_interpreter(
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name = "python_dev",
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urls = ["https://www.python.org/ftp/python/3.13.0/Python-{version}.tgz"],
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strip_prefix = "Python-{version}",
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version = "3.13.0a6",
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)
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load("@xla//:workspace4.bzl", "xla_workspace4")
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xla_workspace4()
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load("@xla//:workspace3.bzl", "xla_workspace3")
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xla_workspace3()
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load("@xla//:workspace2.bzl", "xla_workspace2")
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xla_workspace2()
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load("@xla//:workspace1.bzl", "xla_workspace1")
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xla_workspace1()
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load("@xla//:workspace0.bzl", "xla_workspace0")
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xla_workspace0()
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load("//third_party/flatbuffers:workspace.bzl", flatbuffers = "repo")
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flatbuffers()
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load(
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"@tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
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"cuda_json_init_repository",
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)
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cuda_json_init_repository()
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load(
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"@cuda_redist_json//:distributions.bzl",
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"CUDA_REDISTRIBUTIONS",
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"CUDNN_REDISTRIBUTIONS",
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)
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load(
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"@tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
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"cuda_redist_init_repositories",
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"cudnn_redist_init_repository",
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)
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cuda_redist_init_repositories(
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cuda_redistributions = CUDA_REDISTRIBUTIONS,
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)
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cudnn_redist_init_repository(
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cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
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)
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load(
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"@tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
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"cuda_configure",
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)
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cuda_configure(name = "local_config_cuda")
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load(
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"@tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
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"nccl_redist_init_repository",
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)
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nccl_redist_init_repository()
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load(
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"@tsl//third_party/nccl/hermetic:nccl_configure.bzl",
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"nccl_configure",
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)
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nccl_configure(name = "local_config_nccl")
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