Commit Graph

20 Commits

Author SHA1 Message Date
Yueh-Ting (eop) Chen
cf100933cc
[TRTLLM-6341][feature] Support SWA KV cache reuse (#6768)
This merge request attempts to support more SWA KV cache functionality
inside the KV cache manager. Before this merge request, the KV cache for
sliding window attention (SWA) only holds "window size" number of blocks
and reuse them in a cyclic manner. We will not be able to utilize more
GPU memory with this design, leading to a limited max batch size
throughput. Additionally, we will not be able to support KV cache reuse
with this design.

In this MR, we change such behavior to let the manager write blocks in
a linear manner. With a linear block writing behavior, as the attention
window moves on, the out-of-window (OOW) blocks will be detached. Right
now for the sake of a correct feature first, we directly offload the
OOW block from the primary block pool (GPU memory) to the secondary
block pool (host memory). We will improve this in the future by
delegating the block movement to the eviction policy.

KV cache reuse for SWA is not developed in this merge request and will
be amended in a follow-up merge request.

Writing the blocks linearly, the maximum number of blocks allocated for
a sequence(`GenerationRequest`) is the "max sequence length" specified.
The `GenerationRequest` that stores the cache block bookkeeping
structure will now keep "max sequence length" tokens of blocks.

Given the above, main changes are (more context in the MR):
- Remove "cyclic" concept under the kv cache manager, such concept
  originally guards the block reuse under kv cache manager.
- Add detach mechanism and have it under `KVCacheManager::addToken`.
  Please note that detach is still guarded off for SWA when reuse
  is enabled. A follow-up merge request will proceed to improve this.
- Enforce "max sequence length" to be a non-optional parameter to
  the `KVCacheManager`/`BlockManager`
- Let all window size resource pool get identical proportion of memory
- Fix free memory calculation under `resource_manager.py`

Signed-off-by: eopXD <yuehtingc@nvidia.com>
Co-authored-by: Tomer Asida <tasida@nvidia.com>
2025-09-24 14:28:24 +08:00
Zheng Duan
24fc1f9acf
[None][fix] using arrival time in llmapi when creating LlmRequest in pytorch workflow (#7553)
Signed-off-by: zhengd-nv <200704041+zhengd-nv@users.noreply.github.com>
2025-09-15 07:26:01 -04:00
Chuang Zhu
77657a1c12
[TRTLLM-7361][feat] KV cache transfer for uneven pp (#7117)
Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
2025-09-08 13:37:46 -04:00
Chang Liu
23500b55c3
[TRTLLM-7398][feat] Support KV cache salting for secure KV cache reuse (#7106)
Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
Signed-off-by: Chang Liu <9713593+chang-l@users.noreply.github.com>
2025-09-06 17:58:32 -04:00
Enwei Zhu
5ff3a65b23
[TRTLLM-7028][feat] Enable guided decoding with speculative decoding (part 2: one-model engine) (#6948)
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-09-03 15:16:11 -07:00
Tian Zheng
1b9c4cc2f7
[None][fix] Fix nanobind failure (#7425)
Signed-off-by: Tian Zheng <29906817+Tom-Zheng@users.noreply.github.com>
2025-09-01 17:26:40 -04:00
Richard Huo
ce580ce4f5
[None][feat] KV Cache Connector API (#7228)
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: richardhuo-nv <rihuo@nvidia.com>
Co-authored-by: jthomson04 <jwillthomson19@gmail.com>
Co-authored-by: Iman Tabrizian <10105175+Tabrizian@users.noreply.github.com>
Co-authored-by: Sharan Chetlur <116769508+schetlur-nv@users.noreply.github.com>
2025-08-28 23:09:27 -04:00
qixiang-99
b165f8bc97
fix/improve kvcache allocation in PyTorch runtime (#5933)
Signed-off-by: qixiang-99 <203170375+qixiang-99@users.noreply.github.com>
2025-08-26 12:40:22 +08:00
Robin Kobus
45c7518032
[None][refactor] Simplify decoder state initialization (#6559)
Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-08-12 21:44:41 +02:00
Ziyi Xiong
de472828b9
[TRTLLM-6637][feat] Resolve KV cache divergence issue (#6628)
Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>
2025-08-09 23:15:04 +08:00
pcastonguay
453a06e6ab
[TRTLLM-6881][feat] Include attention dp rank info with KV cache events (#6563)
Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>
2025-08-07 14:17:07 +02:00
amitz-nv
85af62184b
[TRTLLM-6683][feat] Support LoRA reload CPU cache evicted adapter (#6510)
Signed-off-by: Amit Zuker <203509407+amitz-nv@users.noreply.github.com>
2025-08-07 09:05:36 +03:00
ixlmar
1ebceb790d
[TRTLLM-5508][feat] check input tokens + improve error handling (#5170)
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
2025-08-05 18:27:43 +01:00
Olya Kozlova
13cc1c4878
[TRTLLM-5271][feat] best_of/n for pytorch workflow (#5997)
Signed-off-by: Olya Kozlova <okozlova@nvidia.com>
2025-08-04 14:08:06 +02:00
Robin Kobus
d3c14682f0
refactor: Remove unused buffers and bindings from sampler (#6484)
Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-08-01 00:43:03 -04:00
Linda
9a99e6d6d7
fix: integration tests with nanobind (#6326)
Signed-off-by: Linda-Stadter <57756729+Linda-Stadter@users.noreply.github.com>
2025-07-25 09:23:20 +08:00
Linda
60073731ca
fix: bindings unit tests for nanobind (#6221)
Signed-off-by: Linda-Stadter <57756729+Linda-Stadter@users.noreply.github.com>
2025-07-22 14:51:43 +01:00
Linda
3efad2e58c
feat: nanobind bindings (#6185)
Signed-off-by: Linda-Stadter <57756729+Linda-Stadter@users.noreply.github.com>
2025-07-21 08:56:57 +01:00
Iman Tabrizian
b75e53ab69
Revert "feat: nanobind bindings (#5961)" (#6160)
Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
2025-07-18 10:12:54 +08:00
Linda
5bff317abf
feat: nanobind bindings (#5961)
Signed-off-by: Linda-Stadter <57756729+Linda-Stadter@users.noreply.github.com>
2025-07-17 22:42:52 +08:00