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WORKSPACE
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load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
################################ Python Setup ################################
# For embedded python interpreter (libpython.so.)
http_archive(
name = "pybind11_bazel",
strip_prefix = "pybind11_bazel-fc56ce8a8b51e3dd941139d329b63ccfea1d304b",
urls = ["https://github.com/pybind/pybind11_bazel/archive/fc56ce8a8b51e3dd941139d329b63ccfea1d304b.zip"],
)
http_archive(
name = "pybind11",
build_file = "@pybind11_bazel//:pybind11.BUILD",
strip_prefix = "pybind11-442261da585536521ff459b1457b2904895f23b4",
urls = ["https://github.com/pybind/pybind11/archive/442261da585536521ff459b1457b2904895f23b4.tar.gz"],
)
http_archive(
name = "com_nlohmann_json",
build_file = "//bazel:nlohmann_json.BUILD",
sha256 = "d69f9deb6a75e2580465c6c4c5111b89c4dc2fa94e3a85fcd2ffcd9a143d9273",
strip_prefix = "json-3.11.2",
url = "https://github.com/nlohmann/json/archive/refs/tags/v3.11.2.tar.gz",
)
load("@pybind11_bazel//:python_configure.bzl", "python_configure")
# This is required for setting up the linkopts for -lpython.q
python_configure(
name = "local_config_python",
python_version = "3", # required to use `python3-config`
)
################################ PyTorch Setup ################################
load("//bazel:dependencies.bzl", "PYTORCH_LOCAL_DIR")
new_local_repository(
name = "torch",
build_file = "//bazel:torch.BUILD",
path = PYTORCH_LOCAL_DIR,
)
############################# OpenXLA Setup ###############################
# To build PyTorch/XLA with OpenXLA to a new revision, update following xla_hash to
# the openxla git commit hash.
xla_hash = '6e91ff19dad528ab7d2025a9bb46150618a3bc7d'
http_archive(
name = "xla",
patch_args = [
"-l",
"-p1",
],
patch_tool = "patch",
patches = [
"//openxla_patches:gpu_race_condition.diff",
],
strip_prefix = "xla-" + xla_hash,
urls = [
"https://github.com/openxla/xla/archive/" + xla_hash + ".tar.gz",
],
)
# For development, one often wants to make changes to the OpenXLA repository as well
# as the PyTorch/XLA repository. You can override the pinned repository above with a
# local checkout by either:
# a) overriding the OpenXLA repository on the build.py command line by passing a flag
# like:
# bazel --override_repository=xla=/path/to/openxla
# or
# b) by commenting out the http_archive above and uncommenting the following:
# local_repository(
# name = "xla",
# path = "/path/to/openxla",
# )
# 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 = {
"3.8": "//:requirements_lock_3_8.txt",
"3.9": "//:requirements_lock_3_9.txt",
"3.10": "//:requirements_lock_3_10.txt",
"3.11": "//:requirements_lock_3_11.txt",
},
local_wheel_workspaces = ["@torch//:WORKSPACE"],
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()
# Initialize OpenXLA's external dependencies.
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("@tsl//third_party/gpus:cuda_configure.bzl", "cuda_configure")
cuda_configure(name = "local_config_cuda")
load("@tsl//third_party/nccl:nccl_configure.bzl", "nccl_configure")
nccl_configure(name = "local_config_nccl")