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Signed-off-by: Benjamin Chislett <benjamin.chislett@centml.ai>

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

- **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>

Signed-off-by: youkaichao <youkaichao@gmail.com>

Co-authored-by: Yang Zheng(SW)(Alex) <you@example.com>

Signed-off-by: Chendi Xue <chendi.xue@intel.com>

Co-authored-by: LiuXiaoxuanPKU <lilyliupku@gmail.com>

Co-authored-by: caishangming.csm <caishangming.csm@alibaba-inc.com>

[Speculative Decoding] Enabling bonus token in speculative decoding for KV cache based models (#5765)

 [Speculative Decoding] Support draft model on different tensor-parallel size than target model (#5414)

[Core][2/N] Model runner refactoring part 2. Combine prepare prefill / decode to a single API (#4681)

This PR combines prepare_prompt and prepare_decode into a single API. This PR also coelsce the attn metadata for prefill/decode to a single class and allow to slice them when running attn backend.

It also refactors subquery_start_loc which was not refactored in the previous PR

Storing exception frame is extremely prone to circular refernece because it contains the reference to objects.

When tensorizer is not installed, it leaks llm instance because error frame has references to various modules which cause circular reference problem.

I also found spec decoding has a circular reference issue, and I solved it using weakref.proxy.

Co-authored-by: Lei Wen <wenlei03@qiyi.com>

Co-authored-by: SangBin Cho <sangcho@sangcho-LT93GQWG9C.local>