e489ad7a21
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**
commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:18:24 2025 -0500
Add SPDX license headers to python source files
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
also be easily used by tools to help manage license compliance.
The Linux Foundation runs license scans against the codebase to help
ensure
we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
More information can be found on the SPDX site:
- https://spdx.dev/learn/handling-license-info/
Signed-off-by: Russell Bryant <rbryant@redhat.com>
commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:36:32 2025 -0500
Check for SPDX headers using pre-commit
Signed-off-by: Russell Bryant <rbryant@redhat.com>
---------
Signed-off-by: Russell Bryant <rbryant@redhat.com>
76 lines
2.3 KiB
Python
Executable File
76 lines
2.3 KiB
Python
Executable File
# SPDX-License-Identifier: Apache-2.0
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#!/usr/bin/env python3
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#
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# A command line tool for running pytorch's hipify preprocessor on CUDA
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# source files.
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#
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# See https://github.com/ROCm/hipify_torch
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# and <torch install dir>/utils/hipify/hipify_python.py
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#
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import argparse
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import os
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import shutil
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from torch.utils.hipify.hipify_python import hipify
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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# Project directory where all the source + include files live.
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parser.add_argument(
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"-p",
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"--project_dir",
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help="The project directory.",
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)
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# Directory where hipified files are written.
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parser.add_argument(
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"-o",
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"--output_dir",
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help="The output directory.",
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)
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# Source files to convert.
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parser.add_argument("sources",
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help="Source files to hipify.",
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nargs="*",
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default=[])
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args = parser.parse_args()
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# Limit include scope to project_dir only
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includes = [os.path.join(args.project_dir, '*')]
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# Get absolute path for all source files.
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extra_files = [os.path.abspath(s) for s in args.sources]
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# Copy sources from project directory to output directory.
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# The directory might already exist to hold object files so we ignore that.
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shutil.copytree(args.project_dir, args.output_dir, dirs_exist_ok=True)
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hipify_result = hipify(project_directory=args.project_dir,
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output_directory=args.output_dir,
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header_include_dirs=[],
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includes=includes,
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extra_files=extra_files,
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show_detailed=True,
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is_pytorch_extension=True,
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hipify_extra_files_only=True)
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hipified_sources = []
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for source in args.sources:
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s_abs = os.path.abspath(source)
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hipified_s_abs = (hipify_result[s_abs].hipified_path if
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(s_abs in hipify_result
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and hipify_result[s_abs].hipified_path is not None)
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else s_abs)
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hipified_sources.append(hipified_s_abs)
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assert (len(hipified_sources) == len(args.sources))
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# Print hipified source files.
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print("\n".join(hipified_sources))
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