Naturalcandy noli/placeholder#241
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- Introduced support for multiple Runtime instances - Added utility functions for multi-runtime management - Ensured backward compatibility with existing usage patterns of Runtime - Added unit tests for multi-runtime functionality --------- Co-authored-by: noli <t-ngerawork@microsoft.com>
- Adds Torch to ARK tensor conversion support - New ModelBufferManager class handles external buffer registration and simplifies buffer access during kernel initialization - Adds test cases for ARK to Torch conversion support --------- Co-authored-by: Changho Hwang <changhohwang@microsoft.com>
- Separates externally allocated buffers from `ModelBuffer` by having `ModelBufferManager` manage them instead. - Adds the `placeholder` operation. `placeholder` is a virtual operation that produces a `Tensor` with the added feature of providing a data pointer (which can be null to support delayed binding) to an external buffer.
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Add `arkprof` console-script entry point
Extract the `if __name__ == "__main__"` block in `profiler.py` into a
callable `main(argv=None)` function and register it as a
`[project.scripts]` console entry point in `pyproject.toml`:
arkprof = "ark.profiler:main"
After `pip install`, `arkprof --plan <file>` invokes the profiler CLI.
Changes:
- `python/ark/profiler.py`: move argparse logic into `main(argv=None)`;
accept optional argv for testability; strip whitespace in
`--target_processor_groups` parsing; `__main__` guard delegates to
`main()`.
- `pyproject.toml`: add `[project.scripts]` section.
- `python/unittest/test_profiler.py`: add 5 CLI/unit tests — `--help`
exit code, missing `--plan` exit code, full arg parsing, defaults,
and whitespace handling in `--target_processor_groups`. All tests use
mocks (no GPU required).
Source: PR #241 (`arkprof.py`).
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Superseded. The placeholder op + external-buffer binding already landed on main; the arkprof profiler entry point landed as a console script in #260. Closing as fully incorporated. |
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