torch-mlir/utils/bazel/configure.bzl

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# This file is licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
"""Helper macros to configure torch-mlir overlay project."""
# This is adapted from llvm-project's utils/bazel/configure.bzl
DEFAULT_OVERLAY_PATH = "torch-mlir-overlay"
def _overlay_directories(repository_ctx):
src_path = repository_ctx.path(Label("//:WORKSPACE")).dirname
bazel_path = src_path.get_child("utils").get_child("bazel")
overlay_path = bazel_path.get_child("torch-mlir-overlay")
script_path = bazel_path.get_child("overlay_directories.py")
python_bin = repository_ctx.which("python3")
if not python_bin:
# Windows typically just defines "python" as python3. The script itself
# contains a check to ensure python3.
python_bin = repository_ctx.which("python")
if not python_bin:
fail("Failed to find python3 binary")
cmd = [
python_bin,
script_path,
"--src",
src_path,
"--overlay",
overlay_path,
"--target",
".",
]
exec_result = repository_ctx.execute(cmd, timeout = 20)
if exec_result.return_code != 0:
fail(("Failed to execute overlay script: '{cmd}'\n" +
"Exited with code {return_code}\n" +
"stdout:\n{stdout}\n" +
"stderr:\n{stderr}\n").format(
cmd = " ".join([str(arg) for arg in cmd]),
return_code = exec_result.return_code,
stdout = exec_result.stdout,
stderr = exec_result.stderr,
))
def _torch_mlir_configure_impl(repository_ctx):
_overlay_directories(repository_ctx)
torch_mlir_configure = repository_rule(
implementation = _torch_mlir_configure_impl,
local = True,
configure = True
)