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ww21_shm#301
hlin99 wants to merge 56 commits into
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@hlin99 hlin99 commented May 27, 2026

What this PR does / why we need it:

Special notes for your reviewers:

If applicable:

  • this PR contains user facing changes - docs added
  • this PR contains unit tests

hlin99 and others added 23 commits May 21, 2026 08:09
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
The config layer already forces use_lazy=False when cudart is
unavailable. The allocator factory can simply branch on shm_name
first, then on use_lazy — no invalid combination can reach here

Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Yufeng He <40085740+he-yufeng@users.noreply.github.com>
…ifferent metadata (LMCache#3147)

Signed-off-by: cr7258 <chengzw258@163.com>
docs(mp): note non-CUDA auto-disable of --l1-use-lazy

PR LMCache#3259 (feat(mp): Non-GPU Context by pickle) added a post-init
guard in lmcache/v1/distributed/config.py:L1MemoryManagerConfig
that auto-disables use_lazy on backends where
lmcache.torch_dev has no cudart attribute, logging a warning
("LazyMemoryAllocator requires cudart which is not available
on the current backend. Disabling l1-use-lazy.").

The user-facing reference in docs/source/mp/configuration.rst
still listed the --l1-use-lazy default as plain "True" without
mentioning that non-CUDA backends silently downgrade to eager
allocation. Extend the description so the documented behavior
matches the actual code path.

Doc-only change; no code is modified.

Signed-off-by: ApostaC <yihua98@uchicago.edu>
… page-aligned for O_DIRECT (LMCache#3191)

* [Fix] non_cuda_equivalents: page-align pinned allocations for O_DIRECT

Signed-off-by: zhengfei.he <hezhengfei1999@gmail.com>
Co-authored-by: Yihua Cheng <yihua98@uchicago.edu>
…che#3385)

* [Fix]: Skip unpin for non-pinned objects in cleanup_memory_objs

Signed-off-by: zhengfeihe <hezhengfei1999@gmail.com>

* Add type hint in cache engine clean up test

Signed-off-by: zhengfeihe <hezhengfei1999@gmail.com>

---------

Signed-off-by: zhengfeihe <hezhengfei1999@gmail.com>
smoke test for image release

Signed-off-by: deng451e <838677410@qq.com>
…le package. (LMCache#3115)

This shim layer matches the cufile-python API that is currently in use
by LMCache. This allows hipFile to maintain its own API while
not requiring additional code changes in LMCache.

Signed-off-by: Riley Dixon <riley.dixon@amd.com>
Co-authored-by: Yihua Cheng <yihua98@uchicago.edu>
* [Bugfix] Fix layerwise lookup miss in async_lookup_and_prefetch

Signed-off-by: Kihwan Kim <luceinaltis2020@gmail.com>
Co-authored-by: Yihua Cheng <yihua98@uchicago.edu>
… content (LMCache#3258)

Signed-off-by: weizhou.lan@daocloud.io <weizhou.lan@daocloud.io>
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hlin99 commented May 27, 2026

@copilot resolve the merge conflicts in this pull request

# Conflicts:
#	lmcache/v1/multiprocess/server.py
#	tests/v1/multiprocess/test_non_cuda_data_transfer.py
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Copilot AI commented May 27, 2026

@copilot resolve the merge conflicts in this pull request

Resolved the merge conflicts. The dev branch refactored server.py into a modular architecture (extracting logic into engine_context.py, engine_module.py, and the modules/ package), while this branch had the old monolithic version with SHM additions. I accepted dev's refactored server.py and test patches since the SHM-specific code lives in separate files (server_transfer.py, worker_transfer/) that don't conflict. Merge commit: aac9aa1.

Copilot finished work on behalf of hlin99 May 27, 2026 02:34
stub_native_storage_ops: Any,
) -> None:
"""Regression: repeated prompt after worker restart should no-op-store cleanly.

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why remove test cases?

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@copilot why remove test cases?

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The SHM test cases were incorrectly dropped during the merge conflict resolution — I took dev's version of the test file which didn't have them. I've restored all 13 SHM-specific test functions and updated the two shared tests (test_server_register_and_find_non_cuda_context_layout and test_server_store_and_retrieve_cpu_chunks) to use dev's refactored module paths (engine_context / NonGPUTransferModule). Also added the missing non_gpu_context.py and non_gpu_context_pickle.py files from dev that the modules depend on. Fixed in commit 77e09b7.

DongDongJu and others added 29 commits May 27, 2026 15:34
* test: add raw-block temp-file coverage

Add CI-safe raw-block tests that exercise the Rust device binding, RawBlockCore, and the MP raw-block L2 adapter on truncated regular files.

Signed-off-by: DongDongJu <commisori28@gmail.com>

Signed-off-by: Dongjoo Seo <dongjoo.seo1@samsung.com>

* ci: add focused raw-block temp-file job

Add raw-block path filtering and a dedicated Ubuntu raw-block CI job that builds the Rust extension and runs only the temp-file raw-block tests under the repo workspace.

Signed-off-by: DongDongJu <commisori28@gmail.com>

Signed-off-by: Dongjoo Seo <dongjoo.seo1@samsung.com>

* test: address raw-block review feedback

Signed-off-by: Dongjoo Seo <dongjoo.seo1@samsung.com>

Signed-off-by: DongDongJu <commisori28@gmail.com>

---------

Signed-off-by: Dongjoo Seo <dongjoo.seo1@samsung.com>
Signed-off-by: DongDongJu <commisori28@gmail.com>
docs(design): align L2 adapter docs with L2StoreResult interface

PR LMCache#3363 ([MP] Update the L2 adapter interface to force measuring
the real transferred bytes) changed
`L2AdapterInterface.pop_completed_store_tasks()` to return
`dict[L2TaskId, L2StoreResult]` (was `dict[L2TaskId, bool]`) and
removed the optional `pop_completed_store_task_bytes()` method, but
three design docs still describe the old `bool` contract:

- `docs/design/v1/distributed/l2_adapters/overall.md`: refresh the
  store-operations contract and the StoreController data-flow
  comment to reference `L2StoreResult` (success flag +
  `bytes_transferred()`), and note the fast-path duplicate-key
  reporting expectation that motivated the interface change.
- `docs/design/v1/distributed/l2_adapters/serde_wrapper.md`: update
  the ASCII flow diagram, the mermaid sequence diagram, and the
  failure-policy section so they show `L2StoreResult(...)` return
  values instead of bare `True`/`False`.
- `docs/design/v1/mp_observability/METRICS.md`: update the
  `lmcache_mp.l2_store_throughput` calculation column from
  `total_bytes` to `bytes_transferred`, matching the new
  `L2ThroughputSubscriber._on_store_completed` path that reads the
  real-bytes field from `L2_STORE_COMPLETED` (and drops
  zero-byte samples). The load-throughput row picks up a short
  clarifying note that the load path still uses submitted
  `total_bytes`.

Doc-only — no code changes. Auto-generated by the daily LMCache
docs drift-check routine for 2026-05-26.

Signed-off-by: ApostaC <yihua98@uchicago.edu>
Signed-off-by: ApostaC <yihua98@uchicago.edu>
…kv cache calculator (LMCache#3408)

Signed-off-by: pengxin99 <yc316ypx@126.com>
test: fix raw-block L2 store result assertions

Signed-off-by: Dongjoo Seo <commisori28@gmail.com>
Signed-off-by: DongDongJu <commisori28@gmail.com>
…e#3416)

* fix: avoid vllm import for blake3 token hasher

Signed-off-by: DongDongJu <commisori28@gmail.com>
Signed-off-by: Dongjoo Seo <dongjoo.seo1@samsung.com>
Signed-off-by: abinggo <107740309+abinggo@users.noreply.github.com>
Co-authored-by: Yihua Cheng <yihua98@uchicago.edu>
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: ApostaC <25103655+ApostaC@users.noreply.github.com>
[refactor] refactor lmcache bench kvcache cli

Signed-off-by: idellzheng <idellzheng@tencent.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
…each register

Signed-off-by: Tony Lin <tony.lin@intel.com>
both modes supported in the same time

Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
The reason is because server is not aware of the device type of
the connecting workers. By defaulting to auto, the server loads
both GPU and non-GPU transfer modules, allowing workers of either
type to connect without requiring manual configuration.

Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
Signed-off-by: Tony Lin <tony.lin@intel.com>
@hlin99 hlin99 closed this May 28, 2026
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