https://github.com/google/jax
Raw File
Tip revision: 991797a8a987f241074ccd2a94ad2aaec684537c authored by jax authors on 10 June 2024, 13:03:58 UTC
Merge pull request #21765 from hawkinsp:release
Tip revision: 991797a
build.py
#!/usr/bin/python
#
# Copyright 2018 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Helper script for building JAX's libjax easily.


import argparse
import collections
import hashlib
import logging
import os
import pathlib
import platform
import re
import shutil
import stat
import subprocess
import sys
import textwrap
import urllib.request

logger = logging.getLogger(__name__)


def is_windows():
  return sys.platform.startswith("win32")


def shell(cmd):
  try:
    logger.info("shell(): %s", cmd)
    output = subprocess.check_output(cmd)
  except subprocess.CalledProcessError as e:
    logger.info("subprocess raised: %s", e)
    if e.output: print(e.output)
    raise
  except Exception as e:
    logger.info("subprocess raised: %s", e)
    raise
  return output.decode("UTF-8").strip()


# Python

def get_python_bin_path(python_bin_path_flag):
  """Returns the path to the Python interpreter to use."""
  path = python_bin_path_flag or sys.executable
  return path.replace(os.sep, "/")


def get_python_version(python_bin_path):
  version_output = shell(
    [python_bin_path, "-c",
     ("import sys; print(\"{}.{}\".format(sys.version_info[0], "
      "sys.version_info[1]))")])
  major, minor = map(int, version_output.split("."))
  return major, minor

def check_python_version(python_version):
  if python_version < (3, 9):
    print("ERROR: JAX requires Python 3.9 or newer, found ", python_version)
    sys.exit(-1)


def get_githash():
  try:
    return subprocess.run(
        ["git", "rev-parse", "HEAD"],
        encoding='utf-8',
        capture_output=True).stdout.strip()
  except OSError:
    return ""

# Bazel

BAZEL_BASE_URI = "https://github.com/bazelbuild/bazel/releases/download/6.5.0/"
BazelPackage = collections.namedtuple("BazelPackage",
                                      ["base_uri", "file", "sha256"])
bazel_packages = {
    ("Linux", "x86_64"):
        BazelPackage(
            base_uri=None,
            file="bazel-6.5.0-linux-x86_64",
            sha256=
            "a40ac69263440761199fcb8da47ad4e3f328cbe79ffbf4ecc14e5ba252857307"),
    ("Linux", "aarch64"):
        BazelPackage(
            base_uri=None,
            file="bazel-6.5.0-linux-arm64",
            sha256=
            "5afe973cadc036496cac66f1414ca9be36881423f576db363d83afc9084c0c2f"),
    ("Darwin", "x86_64"):
        BazelPackage(
            base_uri=None,
            file="bazel-6.5.0-darwin-x86_64",
            sha256=
            "bbf9c2c03bac48e0514f46db0295027935535d91f6d8dcd960c53393559eab29"),
    ("Darwin", "arm64"):
        BazelPackage(
            base_uri=None,
            file="bazel-6.5.0-darwin-arm64",
            sha256=
            "c6b6dc17efcdf13fba484c6fe0b6c3361b888ae7b9573bc25a2dbe8c502448eb"),
    ("Windows", "AMD64"):
        BazelPackage(
            base_uri=None,
            file="bazel-6.5.0-windows-x86_64.exe",
            sha256=
            "6eae8e7f28e1b68b833503d1a58caf139c11e52de19df0d787d974653a0ea4c6"),
}


def download_and_verify_bazel():
  """Downloads a bazel binary from GitHub, verifying its SHA256 hash."""
  package = bazel_packages.get((platform.system(), platform.machine()))
  if package is None:
    return None

  if not os.access(package.file, os.X_OK):
    uri = (package.base_uri or BAZEL_BASE_URI) + package.file
    sys.stdout.write(f"Downloading bazel from: {uri}\n")

    def progress(block_count, block_size, total_size):
      if total_size <= 0:
        total_size = 170**6
      progress = (block_count * block_size) / total_size
      num_chars = 40
      progress_chars = int(num_chars * progress)
      sys.stdout.write("{} [{}{}] {}%\r".format(
          package.file, "#" * progress_chars,
          "." * (num_chars - progress_chars), int(progress * 100.0)))

    tmp_path, _ = urllib.request.urlretrieve(
      uri, None, progress if sys.stdout.isatty() else None
    )
    sys.stdout.write("\n")

    # Verify that the downloaded Bazel binary has the expected SHA256.
    with open(tmp_path, "rb") as downloaded_file:
      contents = downloaded_file.read()

    digest = hashlib.sha256(contents).hexdigest()
    if digest != package.sha256:
      print(
          "Checksum mismatch for downloaded bazel binary (expected {}; got {})."
          .format(package.sha256, digest))
      sys.exit(-1)

    # Write the file as the bazel file name.
    with open(package.file, "wb") as out_file:
      out_file.write(contents)

    # Mark the file as executable.
    st = os.stat(package.file)
    os.chmod(package.file,
             st.st_mode | stat.S_IXUSR | stat.S_IXGRP | stat.S_IXOTH)

  return os.path.join(".", package.file)


def get_bazel_paths(bazel_path_flag):
  """Yields a sequence of guesses about bazel path. Some of sequence elements
  can be None. The resulting iterator is lazy and potentially has a side
  effects."""
  yield bazel_path_flag
  yield shutil.which("bazel")
  yield download_and_verify_bazel()


def get_bazel_path(bazel_path_flag):
  """Returns the path to a Bazel binary, downloading Bazel if not found. Also,
  checks Bazel's version is at least newer than 6.5.0

  A manual version check is needed only for really old bazel versions.
  Newer bazel releases perform their own version check against .bazelversion
  (see for details
  https://blog.bazel.build/2019/12/19/bazel-2.0.html#other-important-changes).
  """
  for path in filter(None, get_bazel_paths(bazel_path_flag)):
    version = get_bazel_version(path)
    if version is not None and version >= (6, 5, 0):
      return path, ".".join(map(str, version))

  print("Cannot find or download a suitable version of bazel."
        "Please install bazel >= 6.5.0.")
  sys.exit(-1)


def get_bazel_version(bazel_path):
  try:
    version_output = shell([bazel_path, "--version"])
  except (subprocess.CalledProcessError, OSError):
    return None
  match = re.search(r"bazel *([0-9\\.]+)", version_output)
  if match is None:
    return None
  return tuple(int(x) for x in match.group(1).split("."))


def get_clang_path_or_exit():
  which_clang_output = shutil.which("clang")
  if which_clang_output:
    # If we've found a clang on the path, need to get the fully resolved path
    # to ensure that system headers are found.
    return str(pathlib.Path(which_clang_output).resolve())
  else:
    print(
        "--use_clang set, but --clang_path is unset and clang cannot be found"
        " on the PATH. Please pass --clang_path directly."
    )
    sys.exit(-1)

def get_clang_major_version(clang_path):
  clang_version_proc = subprocess.run(
      [clang_path, "-E", "-P", "-"],
      input="__clang_major__",
      check=True,
      capture_output=True,
      text=True,
  )
  major_version = int(clang_version_proc.stdout)

  return major_version



def write_bazelrc(*, remote_build,
                  cuda_toolkit_path, cudnn_install_path,
                  cuda_version, cudnn_version, rocm_toolkit_path,
                  cpu, cuda_compute_capabilities,
                  rocm_amdgpu_targets, target_cpu_features,
                  wheel_cpu, enable_mkl_dnn, use_clang, clang_path,
                  clang_major_version, enable_cuda, enable_nccl, enable_rocm,
                  build_gpu_plugin, python_version):
  tf_cuda_paths = []

  with open("../.jax_configure.bazelrc", "w") as f:
    if not remote_build:
      f.write(textwrap.dedent("""\
        build --strategy=Genrule=standalone
        """))

    if use_clang:
      f.write(f'build --action_env CLANG_COMPILER_PATH="{clang_path}"\n')
      f.write(f'build --repo_env CC="{clang_path}"\n')
      f.write(f'build --repo_env BAZEL_COMPILER="{clang_path}"\n')
      f.write('build --copt=-Wno-error=unused-command-line-argument\n')
      if clang_major_version in (16, 17, 18):
        # Necessary due to XLA's old version of upb. See:
        # https://github.com/openxla/xla/blob/c4277a076e249f5b97c8e45c8cb9d1f554089d76/.bazelrc#L505
        f.write("build --copt=-Wno-gnu-offsetof-extensions\n")

    if cuda_toolkit_path:
      tf_cuda_paths.append(cuda_toolkit_path)
      f.write("build --action_env CUDA_TOOLKIT_PATH=\"{cuda_toolkit_path}\"\n"
              .format(cuda_toolkit_path=cuda_toolkit_path))
    if cudnn_install_path:
      # see https://github.com/tensorflow/tensorflow/issues/51040
      if cudnn_install_path not in tf_cuda_paths:
        tf_cuda_paths.append(cudnn_install_path)
      f.write("build --action_env CUDNN_INSTALL_PATH=\"{cudnn_install_path}\"\n"
              .format(cudnn_install_path=cudnn_install_path))
    if len(tf_cuda_paths):
      f.write("build --action_env TF_CUDA_PATHS=\"{tf_cuda_paths}\"\n"
              .format(tf_cuda_paths=",".join(tf_cuda_paths)))
    if cuda_version:
      f.write("build --action_env TF_CUDA_VERSION=\"{cuda_version}\"\n"
              .format(cuda_version=cuda_version))
    if cudnn_version:
      f.write("build --action_env TF_CUDNN_VERSION=\"{cudnn_version}\"\n"
              .format(cudnn_version=cudnn_version))
    if cuda_compute_capabilities:
      f.write(
        f'build:cuda --action_env TF_CUDA_COMPUTE_CAPABILITIES="{cuda_compute_capabilities}"\n')
    if rocm_toolkit_path:
      f.write("build --action_env ROCM_PATH=\"{rocm_toolkit_path}\"\n"
              .format(rocm_toolkit_path=rocm_toolkit_path))
    if rocm_amdgpu_targets:
      f.write(
        f'build:rocm --action_env TF_ROCM_AMDGPU_TARGETS="{rocm_amdgpu_targets}"\n')
    if cpu is not None:
      f.write(f"build --cpu={cpu}\n")

    if target_cpu_features == "release":
      if wheel_cpu == "x86_64":
        f.write("build --config=avx_windows\n" if is_windows()
                else "build --config=avx_posix\n")
    elif target_cpu_features == "native":
      if is_windows():
        print("--target_cpu_features=native is not supported on Windows; ignoring.")
      else:
        f.write("build --config=native_arch_posix\n")

    if enable_mkl_dnn:
      f.write("build --config=mkl_open_source_only\n")
    if enable_cuda:
      f.write("build --config=cuda\n")
      if not enable_nccl:
        f.write("build --config=nonccl\n")
      if use_clang:
        f.write("build --config=nvcc_clang\n")
        f.write(f"build --action_env=CLANG_CUDA_COMPILER_PATH={clang_path}\n")
    if enable_rocm:
      f.write("build --config=rocm\n")
      if not enable_nccl:
        f.write("build --config=nonccl\n")
    if build_gpu_plugin:
      f.write("build --config=cuda_plugin\n")
    if python_version:
      f.write(
        "build --repo_env HERMETIC_PYTHON_VERSION=\"{python_version}\"".format(
            python_version=python_version))
BANNER = r"""
     _   _  __  __
    | | / \ \ \/ /
 _  | |/ _ \ \  /
| |_| / ___ \/  \
 \___/_/   \/_/\_\

"""

EPILOG = """

From the 'build' directory in the JAX repository, run
    python build.py
or
    python3 build.py
to download and build JAX's XLA (jaxlib) dependency.
"""


def _parse_string_as_bool(s):
  """Parses a string as a boolean argument."""
  lower = s.lower()
  if lower == "true":
    return True
  elif lower == "false":
    return False
  else:
    raise ValueError(f"Expected either 'true' or 'false'; got {s}")


def add_boolean_argument(parser, name, default=False, help_str=None):
  """Creates a boolean flag."""
  group = parser.add_mutually_exclusive_group()
  group.add_argument(
      "--" + name,
      nargs="?",
      default=default,
      const=True,
      type=_parse_string_as_bool,
      help=help_str)
  group.add_argument("--no" + name, dest=name, action="store_false")


def main():
  cwd = os.getcwd()
  parser = argparse.ArgumentParser(
      description="Builds jaxlib from source.", epilog=EPILOG)
  add_boolean_argument(
      parser,
      "verbose",
      default=False,
      help_str="Should we produce verbose debugging output?")
  parser.add_argument(
      "--bazel_path",
      help="Path to the Bazel binary to use. The default is to find bazel via "
      "the PATH; if none is found, downloads a fresh copy of bazel from "
      "GitHub.")
  parser.add_argument(
      "--python_bin_path",
      help="Path to Python binary whose version to match while building with "
      "hermetic python. The default is the Python interpreter used to run the "
      "build script. DEPRECATED: use --python_version instead.")
  parser.add_argument(
      "--target_cpu_features",
      choices=["release", "native", "default"],
      default="release",
      help="What CPU features should we target? 'release' enables CPU "
           "features that should be enabled for a release build, which on "
           "x86-64 architectures enables AVX. 'native' enables "
           "-march=native, which generates code targeted to use all "
           "features of the current machine. 'default' means don't opt-in "
           "to any architectural features and use whatever the C compiler "
           "generates by default.")
  add_boolean_argument(
      parser,
      "use_clang",
      help_str=(
          "Should we build using clang as the host compiler? Requires "
          "clang to be findable via the PATH, or a path to be given via "
          "--clang_path."
      ),
  )
  parser.add_argument(
      "--clang_path",
      help=(
          "Path to clang binary to use if --use_clang is set. The default is "
          "to find clang via the PATH."
      ),
  )
  add_boolean_argument(
      parser,
      "enable_mkl_dnn",
      default=True,
      help_str="Should we build with MKL-DNN enabled?",
  )
  add_boolean_argument(
      parser,
      "enable_cuda",
      help_str="Should we build with CUDA enabled? Requires CUDA and CuDNN.")
  add_boolean_argument(
      parser,
      "build_gpu_plugin",
      default=False,
      help_str=(
          "Are we building the gpu plugin in addition to jaxlib? The GPU "
          "plugin is still experimental and is not ready for use yet."
      ),
  )
  add_boolean_argument(
      parser,
      "build_cuda_kernel_plugin",
      default=False,
      help_str=(
          "Are we building the cuda kernel plugin? jaxlib will not be built "
          "when this flag is True."
      ),
  )
  add_boolean_argument(
      parser,
      "build_cuda_pjrt_plugin",
      default=False,
      help_str=(
          "Are we building the cuda pjrt plugin? jaxlib will not be built "
          "when this flag is True."
      ),
  )
  parser.add_argument(
      "--gpu_plugin_cuda_version",
      choices=["11", "12"],
      default="12",
      help="Which CUDA major version the gpu plugin is for.")
  add_boolean_argument(
      parser,
      "enable_rocm",
      help_str="Should we build with ROCm enabled?")
  add_boolean_argument(
      parser,
      "enable_nccl",
      default=True,
      help_str="Should we build with NCCL enabled? Has no effect for non-CUDA "
               "builds.")
  add_boolean_argument(
      parser,
      "remote_build",
      default=False,
      help_str="Should we build with RBE (Remote Build Environment)?")
  parser.add_argument(
      "--cuda_path",
      default=None,
      help="Path to the CUDA toolkit.")
  parser.add_argument(
      "--cudnn_path",
      default=None,
      help="Path to CUDNN libraries.")
  parser.add_argument(
      "--cuda_version",
      default=None,
      help="CUDA toolkit version, e.g., 11.1")
  parser.add_argument(
      "--cudnn_version",
      default=None,
      help="CUDNN version, e.g., 8")
  # Caution: if changing the default list of CUDA capabilities, you should also
  # update the list in .bazelrc, which is used for wheel builds.
  parser.add_argument(
      "--cuda_compute_capabilities",
      default=None,
      help="A comma-separated list of CUDA compute capabilities to support.")
  parser.add_argument(
      "--rocm_amdgpu_targets",
      default="gfx900,gfx906,gfx908,gfx90a,gfx1030",
      help="A comma-separated list of ROCm amdgpu targets to support.")
  parser.add_argument(
      "--rocm_path",
      default=None,
      help="Path to the ROCm toolkit.")
  parser.add_argument(
      "--bazel_startup_options",
      action="append", default=[],
      help="Additional startup options to pass to bazel.")
  parser.add_argument(
      "--bazel_options",
      action="append", default=[],
      help="Additional options to pass to the main Bazel command to be "
           "executed, e.g. `run`.")
  parser.add_argument(
      "--output_path",
      default=os.path.join(cwd, "dist"),
      help="Directory to which the jaxlib wheel should be written")
  parser.add_argument(
      "--target_cpu",
      default=None,
      help="CPU platform to target. Default is the same as the host machine. "
           "Currently supported values are 'darwin_arm64' and 'darwin_x86_64'.")
  parser.add_argument(
      "--editable",
      action="store_true",
      help="Create an 'editable' jaxlib build instead of a wheel.")
  parser.add_argument(
      "--python_version",
      default=None,
      help="hermetic python version, e.g., 3.10")
  add_boolean_argument(
      parser,
      "configure_only",
      default=False,
      help_str="If true, writes a .bazelrc file but does not build jaxlib.")
  add_boolean_argument(
      parser,
      "requirements_update",
      default=False,
      help_str="If true, writes a .bazelrc and updates requirements_lock.txt "
               "for a corresponding version of Python but does not build "
               "jaxlib.")
  add_boolean_argument(
      parser,
      "requirements_nightly_update",
      default=False,
      help_str="Same as update_requirements, but will consider dev, nightly "
               "and pre-release versions of packages.")

  args = parser.parse_args()

  logging.basicConfig()
  if args.verbose:
    logger.setLevel(logging.DEBUG)

  if is_windows() and args.enable_cuda:
    if args.cuda_version is None:
      parser.error("--cuda_version is needed for Windows CUDA build.")
    if args.cudnn_version is None:
      parser.error("--cudnn_version is needed for Windows CUDA build.")

  if args.enable_cuda and args.enable_rocm:
    parser.error("--enable_cuda and --enable_rocm cannot be enabled at the same time.")

  print(BANNER)

  output_path = os.path.abspath(args.output_path)
  os.chdir(os.path.dirname(__file__ or args.prog) or '.')

  host_cpu = platform.machine()
  wheel_cpus = {
      "darwin_arm64": "arm64",
      "darwin_x86_64": "x86_64",
      "ppc": "ppc64le",
      "aarch64": "aarch64",
  }
  # TODO(phawkins): support other bazel cpu overrides.
  wheel_cpu = (wheel_cpus[args.target_cpu] if args.target_cpu is not None
               else host_cpu)

  # Find a working Bazel.
  bazel_path, bazel_version = get_bazel_path(args.bazel_path)
  print(f"Bazel binary path: {bazel_path}")
  print(f"Bazel version: {bazel_version}")

  if args.python_version:
    python_version = args.python_version
  else:
    python_bin_path = get_python_bin_path(args.python_bin_path)
    print(f"Python binary path: {python_bin_path}")
    python_version = get_python_version(python_bin_path)
    print("Python version: {}".format(".".join(map(str, python_version))))
    check_python_version(python_version)
    python_version = ".".join(map(str, python_version))

  print("Use clang: {}".format("yes" if args.use_clang else "no"))
  clang_path = args.clang_path
  clang_major_version = None
  if args.use_clang:
    if not clang_path:
      clang_path = get_clang_path_or_exit()
    print(f"clang path: {clang_path}")
    clang_major_version = get_clang_major_version(clang_path)

  print("MKL-DNN enabled: {}".format("yes" if args.enable_mkl_dnn else "no"))
  print(f"Target CPU: {wheel_cpu}")
  print(f"Target CPU features: {args.target_cpu_features}")

  cuda_toolkit_path = args.cuda_path
  cudnn_install_path = args.cudnn_path
  rocm_toolkit_path = args.rocm_path
  print("CUDA enabled: {}".format("yes" if args.enable_cuda else "no"))
  if args.enable_cuda:
    if cuda_toolkit_path:
      print(f"CUDA toolkit path: {cuda_toolkit_path}")
    if cudnn_install_path:
      print(f"CUDNN library path: {cudnn_install_path}")
    if args.cuda_compute_capabilities is not None:
      print(f"CUDA compute capabilities: {args.cuda_compute_capabilities}")
    if args.cuda_version:
      print(f"CUDA version: {args.cuda_version}")
    if args.cudnn_version:
      print(f"CUDNN version: {args.cudnn_version}")
    print("NCCL enabled: {}".format("yes" if args.enable_nccl else "no"))

  print("ROCm enabled: {}".format("yes" if args.enable_rocm else "no"))
  if args.enable_rocm:
    if rocm_toolkit_path:
      print(f"ROCm toolkit path: {rocm_toolkit_path}")
    print(f"ROCm amdgpu targets: {args.rocm_amdgpu_targets}")

  write_bazelrc(
      remote_build=args.remote_build,
      cuda_toolkit_path=cuda_toolkit_path,
      cudnn_install_path=cudnn_install_path,
      cuda_version=args.cuda_version,
      cudnn_version=args.cudnn_version,
      rocm_toolkit_path=rocm_toolkit_path,
      cpu=args.target_cpu,
      cuda_compute_capabilities=args.cuda_compute_capabilities,
      rocm_amdgpu_targets=args.rocm_amdgpu_targets,
      target_cpu_features=args.target_cpu_features,
      wheel_cpu=wheel_cpu,
      enable_mkl_dnn=args.enable_mkl_dnn,
      use_clang=args.use_clang,
      clang_path=clang_path,
      clang_major_version=clang_major_version,
      enable_cuda=args.enable_cuda,
      enable_nccl=args.enable_nccl,
      enable_rocm=args.enable_rocm,
      build_gpu_plugin=args.build_gpu_plugin,
      python_version=python_version,
  )

  if args.requirements_update:
    update_command = ([bazel_path] + args.bazel_startup_options +
      ["run", "--verbose_failures=true", "//build:requirements.update"])
    print(" ".join(update_command))
    shell(update_command)
    return

  if args.requirements_nightly_update:
    update_nightly_command = ([bazel_path] + args.bazel_startup_options +
      ["run", "--verbose_failures=true", "//build:requirements_nightly.update"])
    print(" ".join(update_nightly_command))
    shell(update_nightly_command)
    return

  if args.configure_only:
    return

  print("\nBuilding XLA and installing it in the jaxlib source tree...")

  command_base = (
    bazel_path,
    *args.bazel_startup_options,
    "run",
    "--verbose_failures=true",
    *args.bazel_options,
  )

  if not args.build_cuda_kernel_plugin and not args.build_cuda_pjrt_plugin:
    build_cpu_wheel_command = [
      *command_base,
      "//jaxlib/tools:build_wheel", "--",
      f"--output_path={output_path}",
      f"--jaxlib_git_hash={get_githash()}",
      f"--cpu={wheel_cpu}"
    ]
    if args.build_gpu_plugin:
      build_cpu_wheel_command.append("--skip_gpu_kernels")
    if args.editable:
      build_cpu_wheel_command.append("--editable")
    print(" ".join(build_cpu_wheel_command))
    shell(build_cpu_wheel_command)

  if args.build_gpu_plugin or args.build_cuda_kernel_plugin:
    build_cuda_kernels_command = [
      *command_base,
      "//jaxlib/tools:build_cuda_kernels_wheel", "--",
      f"--output_path={output_path}",
      f"--jaxlib_git_hash={get_githash()}",
      f"--cpu={wheel_cpu}",
      f"--cuda_version={args.gpu_plugin_cuda_version}"
    ]
    if args.editable:
      build_cuda_kernels_command.append("--editable")
    print(" ".join(build_cuda_kernels_command))
    shell(build_cuda_kernels_command)

  if args.build_gpu_plugin or args.build_cuda_pjrt_plugin:
    build_pjrt_plugin_command = [
      *command_base,
      "//jaxlib/tools:build_gpu_plugin_wheel", "--",
      f"--output_path={output_path}",
      f"--jaxlib_git_hash={get_githash()}",
      f"--cpu={wheel_cpu}",
      f"--cuda_version={args.gpu_plugin_cuda_version}"
    ]
    if args.editable:
      build_pjrt_plugin_command.append("--editable")
    print(" ".join(build_pjrt_plugin_command))
    shell(build_pjrt_plugin_command)

  shell([bazel_path] + args.bazel_startup_options + ["shutdown"])


if __name__ == "__main__":
  main()
back to top