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hipify.py
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#!/usr/bin/env python3
#
# A command line tool for running pytorch's hipify preprocessor on CUDA
# source files.
#
# See https://github.com/ROCm/hipify_torch
# and <torch install dir>/utils/hipify/hipify_python.py
#
import argparse
import os
import shutil
from torch.utils.hipify.hipify_python import hipify
if __name__ == '__main__':
parser = argparse.ArgumentParser()
# Project directory where all the source + include files live.
parser.add_argument(
"-p",
"--project_dir",
help="The project directory.",
)
# Directory where hipified files are written.
parser.add_argument(
"-o",
"--output_dir",
help="The output directory.",
)
# Source files to convert.
parser.add_argument("sources",
help="Source files to hipify.",
nargs="*",
default=[])
args = parser.parse_args()
# Limit include scope to project_dir only
includes = [os.path.join(args.project_dir, '*')]
# Get absolute path for all source files.
extra_files = [os.path.abspath(s) for s in args.sources]
# Copy sources from project directory to output directory.
# The directory might already exist to hold object files so we ignore that.
hipify_result = hipify(project_directory=args.project_dir,
output_directory=args.output_dir,
header_include_dirs=[],
includes=includes,
extra_files=extra_files,
show_detailed=True,
is_pytorch_extension=True,
hipify_extra_files_only=True)
shutil.copytree(args.project_dir, args.output_dir, dirs_exist_ok=True)
hipified_sources = []
for source in args.sources:
s_abs = os.path.abspath(source)
hipified_s_abs = (hipify_result[s_abs].hipified_path if
(s_abs in hipify_result
and hipify_result[s_abs].hipified_path is not None)
else s_abs)
hipified_sources.append(hipified_s_abs)
assert (len(hipified_sources) == len(args.sources))
# Print hipified source files.
print("\n".join(hipified_sources))