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757 Commits

Author SHA1 Message Date
RAM d8cdda86cb [RL][Cherry-Pick] Fix the out-of-bounds issue caused by int32 in the R3 kernel (#7155) 
* [RL]Perf: Optimize batch delete prefix and fused put in R3 (#6604)

* Optimizate delete batch and fused put

* refine code

* refine code

* refine code

* Support suspend r3

* [RL] Fix R3 Empty bug with TP=1 (#6777)

* Fix int32 overflow

* refine code

---------

Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
 2026-04-21 01:51:09 -07:00
kevin 7707be8384 [Feature][KVCache] Implement Cache Manager V1 with GPU + CPU Cache Support (1/n) (#7097) 
* [Feature][KVCache] Support cache manager v1 architecture

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* Update cache manager and related modules

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* chore: update cache_manager and related modules

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: add node to evictable set in complete_swap_to_device

When a node transitions from SWAP_TO_DEVICE to DEVICE via
complete_swap_to_device, it was not being added to the
_evictable_device set. This caused nodes with ref_count=0 to
become "orphaned" - not appearing in any evictable set despite
having cache_status=DEVICE.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: update cache manager v1 and related modules

- Add new cache_manager.py with cache management functionality
- Add radix_tree.py for prefix caching
- Update block_pool.py and metadata.py
- Update request.py and resource_manager_v1.py for scheduling
- Update gpu_model_runner.py for GPU model execution

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(cache): add cache controller v1 implementation

- Add CacheController class for cache management
- Update config.py with cache related configurations
- Refactor gpu_model_runner.py for improved cache handling

* feat(cache_manager): update cache manager v1

* fix(cache_manager): 修复 swap_cache H2D/D2H 方向的 block_ids 逻辑并清理 ForwardMeta

## Motivation

修复 swap_cache_optimized.cu 中 H2D 方向时 src/dst block_ids 使用错误的问题，
并清理 ForwardMeta 中已废弃的 cache_controller 字段。

## Modifications

- fix: swap_cache_optimized.cu 中根据 D2H 模板参数正确选取 src/dst block_ids，
  修复 H2D 方向 src/dst 倒置 bug（同时修复 SwapCachePerLayerImpl 和 SwapCacheAllLayersBatchImpl）
- refactor: cache_manager/v1/__init__.py 将 LayerSwapTimeoutError 导入从
  cache_controller 改为 cache_utils（正确来源）
- refactor: ForwardMeta 移除废弃的 cache_controller 字段
- refactor: gpu_model_runner.py 移除对应的 cache_controller 赋值语句
- test: 新增 tests/cache_manager/v1/test_swap_cache_ops.py 单元测试

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* feat(cache_manager): refactor cache manager v1 and optimize swap ops

## Motivation

对 cache manager v1 进行重构和优化，精简代码结构，提升可维护性。

## Modifications

- 重构 transfer_manager.py，大幅精简代码逻辑
- 优化 swap_cache_optimized.cu GPU 算子实现
- 调整 cache_manager.py、cache_controller.py 逻辑，修复 free_device_blocks 方法缺失问题
- 更新 block_pool.py、cache_utils.py、metadata.py、radix_tree.py
- 精简 gpu_model_runner.py、forward_meta.py、attention.py 中相关调用
- 更新对应单元测试（test_cache_controller、test_swap_cache_ops、test_transfer_manager）
- 调整 config.py 中相关配置项

* [KVCache][MTP] 支持 cache_manager_v1 下的 MTP KV Cache 初始化及多模态 hash

## Motivation

在 enable_cache_manager_v1 路径下，MTP（speculative decode）的 KV Cache 需要由
CacheController 统一管理，以复用 swap/transfer 能力，同时修复多模态场景下 block
hash 未携带 multimodal extra_keys 的问题。

## Modifications

- `cache_controller.py`
  - 新增 `initialize_mtp_kv_cache`：通过 CacheController 初始化 MTP KV Cache，
    并将其注册到 cache_kvs_map，使 transfer_manager 自动覆盖 MTP 层
  - `initialize_host_cache` 中的 num_layers 改为包含 MTP 额外 cache 层数，保证
    Host Cache 也为 MTP 分配足够空间
  - `_free_gpu_cache` 改名为 `free_gpu_cache`（对外可调用）

- `cache_utils.py`
  - 新增 `get_block_hash_extra_keys`：提取单个 block 内的多模态 hash 信息，
    对齐 PrefixCacheManager 的 multimodal extra_keys 逻辑
  - `get_request_block_hasher` 中在 hash_block_tokens 时携带 extra_keys，
    修复多模态场景 prefix cache 命中率不准的问题

- `spec_decode/mtp.py`
  - `update_mtp_block_num` 新增 `skip_cache_init` 参数，避免 v1 cache manager
    路径下重复初始化 MTP KV Cache

- `gpu_model_runner.py`
  - `initialize_kv_cache(v1)` 路径：在主模型 cache 初始化后，调用
    `cache_controller.initialize_mtp_kv_cache` 完成 MTP cache 创建
  - `clear_cache` / `wakeup` / `reset` 等路径：respect `enable_cache_manager_v1`
    标志，跳过重复的 proposer.initialize_kv_cache 调用

## Usage or Command

```bash
# 启动支持 MTP + cache_manager_v1 的推理服务（示例）
bash run.sh
```

* fix(cache_manager): multi-GPU fix, mm hash boundary fix, and remove batch ops

1. Fix CuPy stream/event creation for multi-GPU: wrap all stream operations
   with cp.cuda.Device(device_id) context to ensure streams/events are bound
   to the correct device, preventing cross-device errors in multi-GPU setups.

2. Remove cudaSetDevice from SwapCacheAllLayers (handled by cupy context now).

3. Remove swap_cache_all_layers_batch op: simplified the implementation by
   removing the batch upload variant; all-layer transfers now use the standard
   swap_cache_all_layers with cupy device context.

4. Fix mm hash boundary comparison in get_block_hash_extra_keys: change
   strict less-than (<) to less-than-or-equal (<=) so that multimodal items
   ending exactly at block start are correctly excluded.

5. Extract config fields to KVCacheBase: model_config, cache_config,
   quant_config, parallel_config are now set in the base class __init__ to
   avoid duplication in CacheController and CacheManager subclasses.

6. Translate metadata.py docstrings from Chinese to English for broader
   contributor accessibility.

7. Add test_cache_utils.py: comprehensive unit tests for
   get_block_hash_extra_keys covering all boundary and overlap scenarios.

8. Expand test suite: test_request.py cache fields tests, test_radix_tree.py
   backup candidate tests, test_transfer_manager.py and test_cache_manager.py
   multi-GPU and concurrent operation tests.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] fix List import and move write_policy normalization to CacheManager

## Motivation

修复两处问题：
1. `fastdeploy/engine/request.py` 中 `List` 未导入导致 pre-commit F821 报错
2. `write_policy` 归一化逻辑（`write_through` → `write_through_selective`）不应放在 `FDConfig`，移至 `CacheManager.__init__` 中，使其只影响 Cache Manager V1 的内部逻辑

## Modifications

- `fastdeploy/engine/request.py`: 在 `typing` 导入中补充 `List`，删除重复的 `CacheSwapMetadata` TYPE_CHECKING 导入，修复 F821/F811
- `fastdeploy/config.py`: 删除 `write_policy` 归一化逻辑
- `fastdeploy/cache_manager/v1/cache_manager.py`: 将归一化逻辑移入 `CacheManager.__init__`

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] fix pre-commit code style issues

## Motivation

修复 CI pre-commit 代码风格检查失败问题。

## Modifications

- `fastdeploy/engine/common_engine.py`: black 格式化
- `fastdeploy/worker/worker_process.py`: black 格式化 + isort 修复
- `fastdeploy/cache_manager/v1/storage/__init__.py`: isort 修复
- `fastdeploy/worker/gpu_worker.py`: isort 修复

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [Feature][KVCache] update cache_manager_v1 modules

## Motivation

更新 Cache Manager V1 相关模块，完善版权信息、改进模块结构与可维护性。

## Modifications

- `fastdeploy/cache_manager/v1/` 系列模块：补充版权 header，优化代码结构
- `fastdeploy/config.py`：配置项更新
- `fastdeploy/engine/sched/resource_manager_v1.py`：调度相关更新

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [Feature][KVCache] add BatchRequest.from_tasks and refactor worker task parsing

## Motivation

将 worker_process 中重复的 task 解析逻辑收敛到 BatchRequest，减少代码冗余，提升可维护性。

## Modifications

- `fastdeploy/engine/request.py`：新增 `BatchRequest.from_tasks()` 类方法，统一将 task_queue 任务分类为推理请求和控制请求
- `fastdeploy/worker/worker_process.py`：使用 `BatchRequest.from_tasks()` 替代内联解析逻辑，并修复重复的 control_reqs 处理块

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [Feature][KVCache] add NUMA affinity for host cache and skip swap cache tests

## Motivation

优化 Host cache 内存分配的 NUMA 亲和性，减少跨 NUMA 访问延迟；
同时跳过 swap cache ops 测试（当前环境不支持）。

## Modifications

- `fastdeploy/cache_manager/v1/cache_controller.py`：
  - 新增 `_get_numa_node_for_gpu()` 方法，通过 nvidia-smi 或 sysfs 获取 GPU 对应的 NUMA 节点
  - 新增 `_bind_to_closest_numa_node()` 方法，绑定当前线程到 GPU 最近的 NUMA 节点
  - 在 `initialize_host_cache()` 中调用 NUMA 绑定，优化 H2D 传输性能
- `tests/cache_manager/v1/test_swap_cache_ops.py`：跳过所有测试类（`TestSwapCacheAllLayersCorrectness`、`TestSwapCacheAllLayersPerformance`、`TestSwapCacheRandomBlockIndices`）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] fix unittest failures for cache_manager_v1

三个单测因接口变更或 Mock 方式问题导致失败，需修复。

- tests/distributed/chunked_moe.py：`setup_model_runner` 使用 `__new__` 跳过 `__init__`，补加 `enable_cache_manager_v1 = False`，修复 `AttributeError`
- tests/engine/test_resource_manager.py：`PrefixCacheManager` 为局部导入，`patch` 路径改为定义位置 `fastdeploy.cache_manager.prefix_cache_manager.PrefixCacheManager`
- tests/v1/test_resource_manager_v1.py：`_trigger_preempt` 第四参数已由 `list` 改为 `BatchRequest`，更新测试传参和断言

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] remove debug logging code

## Modifications

- fastdeploy/engine/request.py：删除调试用 logger 及 prompt_hashes 中的 debug 日志
- fastdeploy/worker/worker_process.py：删除 __main__ 中的调试 import 和 print 语句

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] fix cupy device id caching and pickle for _match_result

## Motivation

修复两个 bug：
1. `transfer_manager.py` 中每次调用 `cp.cuda.runtime.getDevice()` 存在隐患，应在初始化时缓存为实例变量，保证后续操作使用一致的设备 ID。
2. `request.py` 的 `__getstate__` 未跳过 `_match_result`，该字段包含 BlockNode 树的父子循环引用，pickle 时会触发 `RecursionError`；同时补充 `__setstate__` 确保 unpickle 后字段恢复为安全默认值。

## Modifications

- `transfer_manager.py`：初始化时调用 `cp.cuda.runtime.getDevice()` 并缓存到 `self._cupy_device_id`，后续 `with cp.cuda.Device(...)` 和日志均使用该缓存值。
- `request.py`：
  - `__getstate__` 中将 `_match_result` 加入跳过集合 `_SKIP_KEYS`，避免循环引用导致 pickle 失败。
  - 新增 `__setstate__`，unpickle 后将 `_block_hasher` 和 `_match_result` 恢复为 `None`。

## Usage or Command

* fix(test): fix unit test errors for _trigger_preempt and wakeup with MTP

- Use BatchRequest instead of list in test_trigger_preempt_records_tasks
- Add missing enable_cache_manager_v1 attr in TestSleepWakeupBehavior._make_runner

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] fix gpu_free_block_list returning wrong block IDs

## Motivation

`gpu_free_block_list` 的兼容 property 中误用了 `list(range(N))`，
将 `available_blocks()` 的返回值当作整数传给 `range()`，
导致返回 `[0, 1, ..., N-1]` 的假列表，而非真实的空闲 block ID。

## Modifications

- `cache_manager/v1/cache_manager.py`：将 `list(range(self._device_pool.available_blocks()))` 改为 `list(self._device_pool.available_blocks())`

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] 修复 gpu_free_block_list 返回 int 导致 TypeError

## Motivation

gpu_free_block_list 属性中调用 BlockPool.available_blocks()，
该方法返回 int（空闲块数量），用 list() 包装 int 会触发
TypeError: 'int' object is not iterable。

## Modifications

将 list(self._device_pool.available_blocks()) 改为
list(self._device_pool._free_blocks)，直接返回空闲块索引列表。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [KVCache][CacheManager] 适配 V1 CacheManager 的 pause/sleep/free_cache 操作

## Motivation

V1 CacheManager 引入了新的 reset_cache() 接口，pause 和 sleep 操作需要适配，
同时 free_cache 需要支持可选的 clear_storage 参数。

## Modifications

- cache_controller.py: free_cache 新增 clear_storage 参数（默认 False），
  仅当 clear_storage=True 时才调用 _clear_storage()，避免不必要的 storage 清空
- common_engine.py: pause 和 sleep 操作中，当 ENABLE_V1_KVCACHE_MANAGER 时
  使用 cache_manager.reset_cache() 替代旧的 reset() 和 pause_transfer 逻辑
- gpu_model_runner.py: sleep 时仅在非 V1 cache manager 下执行 MTP cache 清除

## Usage or Command

# 启动服务（V1 CacheManager）
python -m fastdeploy.entrypoints.openai.api_server \
  --enable-v1-kvcache-manager \
  ...

* [BugFix][KVCache] fix missing enable_cache_manager_v1 in test mocks and remove unused select_blocks_for_backup

- Remove unused `select_blocks_for_backup` method from radix_tree.py
- Fix `match_prefix` default param `skip_storage=True` and log order in cache_manager.py
- Sync test_gpu_model_runner.py with upstream/develop (add TestInsertTasksV1SplitwiseSuffix)
- Add `enable_cache_manager_v1=False` to all mock runners to fix AttributeError in CI

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [BugFix][KVCache] simplify _free_blocks in ResourceManagerV1 for non-v1 path

Remove redundant prefix_caching branch in else path; always call
recycle_gpu_blocks with full block_tables for non-cache-manager-v1 case.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* [KVCache][Optimization][BugFix] fix and optimize block_pool, cache_manager, transfer_manager, request

## Motivation

修复 cache_manager v1 中若干代码质量问题，提升性能并消除潜在的类型不一致 Bug。

## Modifications

1. **block_pool.py**：`BlockPool.allocate` 将逐个 pop 循环替换为切片 + 批量 set.update，消除 Python 循环开销，O(n) → O(k)（C 层批量操作）
2. **cache_manager.py**：`match_prefix` 在 prefix caching 关闭时提前 return 前写入空 `MatchResult()`，避免调用方解引用 `_match_result=None` 崩溃
3. **transfer_manager.py**：`_build_device_layer_indices` 在 `_cache_kvs_map` 为空时也重置四个层索引列表，防止残留旧 tensor 被 swap 算子使用
4. **request.py**：`BatchRequest.append_swap_metadata` / `append_evict_metadata` 构造 `CacheSwapMetadata` 时将 `src_type`/`dst_type` 从字符串改为 `CacheLevel` 枚举，与字段类型声明一致；补充 `CacheLevel` 导入；`match_result` 属性返回类型标注修正为 `Optional[MatchResult]`
5. **resource_manager_v1.py**：`_allocate_gpu_blocks` 日志从 `INFO` 降级为 `DEBUG`，消除高频调度路径的日志噪音
6. **tests/engine/test_request.py**：同步更新 `src_type`/`dst_type` 断言为 `CacheLevel` 枚举值，补充 `CacheLevel` 导入

## Usage or Command

单元测试：
```bash
source .venv/py310/bin/activate
cd baidu/FastDeploy
python -m pytest tests/cache_manager/v1/test_cache_manager.py -v
python -m pytest tests/cache_manager/v1/test_transfer_manager.py -v
python -m pytest tests/engine/test_request.py -v
```

* [BugFix][KVCache] Fix BlockPool.allocate returns all blocks when num_blocks=0

## Motivation

当 `allocate(num_blocks=0)` 被调用时，Python 负索引陷阱导致严重错误：
`-0 == 0`，所以 `self._free_blocks[-0:]` 等价于 `self._free_blocks[0:]`，
会返回并清空整个空闲块列表，而非返回空列表。

## Modifications

在 `BlockPool.allocate` 中增加对 `num_blocks == 0` 的提前判断，直接返回 `[]`，
避免触发 Python 负索引陷阱。

## Usage or Command

```bash
# 运行相关单元测试验证修复
python -m pytest tests/cache_manager/v1/test_cache_manager.py -vv -s
```

* [KVCache][Test] add unit tests for cache_manager v1 modules

## Motivation

补全 cache_manager/v1 各模块的单测覆盖，确保核心方法有完整的测试保障。

## Modifications

新增/补充以下测试文件，全部 326 个用例通过：

- tests/cache_manager/v1/test_block_pool.py（新建）
  覆盖 BlockPool.get_metadata/set_metadata/resize、DeviceBlockPool/HostBlockPool
- tests/cache_manager/v1/test_metadata.py（新建）
  覆盖 BlockNode、RadixTreeStats、MatchResult、CacheSwapMetadata、AsyncTaskHandler
- tests/cache_manager/v1/test_cache_utils.py（补充）
  新增 hash_block_tokens、get_request_block_hasher、LayerDoneCounter 时间追踪及内部辅助方法
- tests/cache_manager/v1/test_radix_tree.py（补充）
  新增 TestCompleteSwapToDevice 专项测试类（6 个用例）
- tests/cache_manager/v1/test_cache_manager.py（补充）
  新增 offload_to_host、load_from_host、pending backup 系列、prepare_prefetch_metadata
- tests/cache_manager/v1/test_transfer_manager.py（补充）
  新增 _swap_single_layer 校验路径、sync_input/output_stream、record_input_stream_event

## Usage or Command

```bash
# 运行所有新增单测
source .venv/py310/bin/activate
python -m pytest tests/cache_manager/v1/test_block_pool.py \
  tests/cache_manager/v1/test_metadata.py \
  tests/cache_manager/v1/test_cache_utils.py \
  tests/cache_manager/v1/test_radix_tree.py \
  tests/cache_manager/v1/test_cache_manager.py \
  tests/cache_manager/v1/test_transfer_manager.py -v
# 期望结果：326 passed
```

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
 2026-04-21 14:39:00 +08:00
yzwu e4a4573080 [Iluvatar] Fix cannot import name mtp_save_first_token (#7495) 
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
 2026-04-21 14:09:08 +08:00
周周周 609f649dd7 [OP] Add flashmla baseline implementation and precision test (#7477) 2026-04-21 13:37:52 +08:00
ZhijunLStudio a0c39cc9af [Typo] Fix parameter name typo in slice_fn: paramter -> parameter (#7462) 
Fix the typo in the internal parameter name of slice_fn():
weight_or_paramter -> weight_or_parameter.

No functional changes.

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-20 10:06:02 +08:00
GoldPancake df3b4e12f4 [Speculative Decoding] Add MTP logprob support for PD disaggregation (#7442) 
* support mtp logprob in pd

* fix

* fix

* fix

* fix xpu bugs
 2026-04-17 21:37:38 +08:00
yzwu 3b9d6c60d3 [Iiluvatar] fix ci error and update readme (#7453) 2026-04-17 20:42:56 +08:00
AIbin 6ce4854714 [Feature] Support MOE Cutlass backend for latent MOE (#7428) 
* support moe cutlass backend  latent moe
 2026-04-16 22:11:49 +08:00
ShaneGZhu 2d8338f9e4 [Optimization][DeepSeekV3.2]Reducing slot_mapping compute frequency from twice per layer to a single pre-processing step. (#7367) 2026-04-16 19:54:12 +08:00
RichardWooSJTU 420a8c1af5 fix deep gemm import (#7425) 2026-04-16 17:56:56 +08:00
Jiajun Ji 29495b2cf1 [XPU] Unify Spec and non-spec branch.(#6947) (#7180) 
* [XPU] cherry-pick PR-6947

* [XPU] use unified_update_model_status.

* refactor xpu_model_runner.

* refactor sampler.

* fix codestyle.

* Fix XPU speculative decoding: rename output tensors to cu_seqlens_q_output/batch_id_per_token_output, correct
  WRAPPER_CHECK_PTR types, and fix dynamic gather shape in verify_draft_tokens path.

* fix codestyle.

* replace output_padding_offset with is_speculative flag in gather_next_token.

* rename hiddden_states.

* unify cu_seqlens_q_output and batch_id_per_token_output init.

---------

Co-authored-by: cmcamdy <1027740945@qq.com>
 2026-04-16 14:58:38 +08:00
RuohengMa de0c5e68fb [XPU] Split the block_attn operator into smaller operators (#6798) 
* spliced block_attn

* adapt to latest vllm

* fix unit tests

* delete mtp+cudagraph 4 cards test

* fix vl model

* fix mtp

* fix slot mapping
 2026-04-16 14:28:40 +08:00
Bingoo 6b891da02b [Optimization] enable trtllm_all_reduce fusion kernel in glm model (#6660) 
* enable trtllm_all_reduce fusion kernel in glm model

* fix conflict

* format update

* fix a bug

* modify test

* modify test

* support empty tensor and modify test

* fix test_linear config issues

* modify test name

* add edge test case

* modify format

* fix conflict

* modify default max token num in trtllm_allreduce_fusion

* add max token num branch for trtllm_allreduce_fusion

* fix format

* fix rmsnorm config issue

* modify 2025 to 2026

* using compat grard

* Lazily import flashinfer.comm and fix test config issue

* fix test issues

* add flashinfer cache dir clean machine

* fix some issues
 2026-04-16 14:10:19 +08:00
GoldPancake a498720a75 [RL] Add clear_graph_opt_backend for glm4_mtp (#7378) 
* add clear_grpah func

* fix spell
 2026-04-15 19:44:15 +08:00
周周周 5e54770b2e [Feature] 添加 MoE 层 latent mode 支持 (#7382) 2026-04-15 13:57:07 +08:00
lonelygsh f7a2418ce2 [Speculate Decoding] Fix reasoning_phase_token_constraint call args in SpeculativeSampler (#7402) 2026-04-15 12:45:23 +08:00
AIbin 8995a38fa4 fix dsa indexer norm to layernorm (#7398) 2026-04-15 11:42:45 +08:00
AIbin bb30f88f1a [Models] support MLA gate attention (#7404) 
* support mla gate attn

* support mla gate attn
 2026-04-15 11:42:34 +08:00
chen 616b29ce08 check init_flash_attn_version log (#7399) 2026-04-15 11:05:10 +08:00
Echo-Nie 8819a039c9 [Others] Fix typo (#7280) 
* typo

* typo

* typo

* typo
 2026-04-14 17:28:22 +08:00
xiaoxiaohehe001 abba29b348 [BugFix] fix mm rope (#7274) 2026-04-14 11:36:08 +08:00
zhupengyang 27b00cf385 [XPU] glm-4.5-air (#7071) 2026-04-14 11:31:49 +08:00
周周周 73bd4ab318 [Feature] 为 FusedMoE 添加 hidden_size 显式参数支持 (#7361) 
[Feature] 为 FusedMoE 添加 hidden_size 显式参数支持
 2026-04-13 20:24:58 +08:00
freeliuzc 31e2a8bbad [Speculative Decoding] Support mtp super ultra overlap in pd-split mode with insert_task overlap (#7323) 
* support mtp overlap in pd-split mode with insert_task overlap
 2026-04-13 19:41:17 +08:00
AIbin 1fb8194191 [OP][Models][Optimization] 优化 RoPE CUDA kernel 并更新 DeepSeek V3 配置 (#7359) 
* dsk del prefill mask

* dsk support 1M+ seq_len rope

* update rope tests

* Replace max_position_embeddings with max_model_len

* 1D grid: gridDim.x has a maximum size of 2^31-1, far exceeding the actual number of tokens.
 2026-04-13 19:12:36 +08:00
liuruyan b34708604c [TI-consistent] support quant use pow2scale (#7308) 
* support quant use pow2scale

* fix

* fix
 2026-04-13 00:01:53 -07:00
AIbin 6213ad5340 [Docs][BugFix] fix mla log (#7243) 
* [Docs] Fix Chinese punctuation issues
 2026-04-13 12:15:43 +08:00
Nyako Shigure d659099415 [Cleanup] Replace torch proxy alias with public compat API (#7348) 2026-04-13 11:43:26 +08:00
Jiajun Ji cb03958b52 [XPU] Refactor get_padding_offset to single kernel. (#7029) 
* [XPU] Refactor get_padding_offset to single kernel.

* add unittest.

* fix codestyle.

* remove cum_offsets_now.

* remove max_len.
 2026-04-13 11:04:50 +08:00
周周周 225fc8d222 use self.hidden_size not use self.fd_config.model_config.hidden_size (#7340) 2026-04-11 22:39:43 +08:00
chen 4982aa000e [RL]moe bf16 ep support paddle batch_gemm (#7337) 
* moe bf16 ep support paddle batch_gemm
 2026-04-11 21:51:12 +08:00
AIbin ba01d7a823 [Optimization] [OP] [Models] dsk del prefill mask (#7313) 
* dsk del prefill mask

* dsk support 1M+ seq_len rope

* update rope tests
 2026-04-11 19:32:27 +08:00
JYChen 076ab07528 [RL] change glm rope_emb calculation (#7316) 
* change glm rope_emb calculation

* glm without EnforceFmulRN

* fix ci
 2026-04-11 18:36:28 +08:00
zhangbo9674 627f0d9cc8 [RL] change rms norm for glm (#7269) 
* change rms norm for glm

* refine code

* refine code

* refine code
 2026-04-10 01:02:37 -07:00
K11OntheBoat 870dbac370 Use triton qk_norm both in Prefill and Decode (#7213) 
Co-authored-by: “liuruian” <liuruian@baidu.com>
 2026-04-10 15:44:01 +08:00
bukejiyu 14d46181b8 [Loader] add multi-thread model loading (#6877) 
* multi-thread-loader

* fix ut
 2026-04-09 23:40:15 -07:00
GoldPancake c1fb3112f8 [FDConfig] Support CLI args for quantization params and add cudagraph validation (#7281) 
* refactor quant cli param
 2026-04-10 14:13:42 +08:00
lizexu123 613f92ee8f [Feature] support nvfp4 tbo (#7259) 2026-04-09 17:29:39 +08:00
fxyfxy777 39ff38aba1 [OP]Unify MoE op with moe_permute path for bf16 GLM (#7164) 2026-04-09 16:17:56 +08:00
xiaoxiaohehe001 51efe27d76 [BugFix] Fix batch_size derivation and relax shape checks in SM90 flash_mask_attn (#7210) 
* [BugFix] fix_flash_mask_attn_sm90

* [BugFix] fix_flash_mask_attn_sm90

* [BugFix] Fix batch_size derivation and relax shape checks in SM90 flash_mask_attn

* [BugFix] Fix batch_size derivation and relax shape checks in SM90 flash_mask_attn
 2026-04-09 11:05:10 +08:00
JYChen 43ace7af25 [RL] support moe-topk use topk_reduce_func (#7218) 
* support moe-topk use topk_reduce_func

* fix ep error

* fix ut

* fix ut
 2026-04-09 11:01:03 +08:00
ShaneGZhu 7005404ce3 [DeepSeekV3.2][Graph Optimization]Remove synchronous operation to avoid capture fail and unnecessary contiguous in DSA Backend (#7253) 
* Delete contiguous ops.

* fix scale

* Delete unnecessary comments

* fix style
 2026-04-09 11:00:13 +08:00
AIbin 48d2bbeb74 fix dsa (#7252) 2026-04-08 20:21:38 +08:00
K11OntheBoat bb48bcbaa2 Split enable_mm (#7183) 
Co-authored-by: liuruian <liuruian@MacBook-Pro.local>
 2026-04-08 11:25:41 +08:00
lizhenyun01 446b26bbc0 [Feature] support blackwell gemm in ht (#7053) 
* [Feature] support blackwell gemm in ht

* [Feature] support ops for convert

* fix cuda error 716

* fix cuda error

* opt memory

* remove unused code
 2026-04-07 19:52:51 +08:00
sunxin ae2f9f4d22 [BugFix] Enable moe_gate_fp32 using FD_ENABLE_RL (#7130) 
* rl gate fp32

* clean
 2026-04-06 21:07:38 -07:00
周周周 18f012457d [OP][Optimization] Remove ENABLE_PREFILL template parameter in multi_query_append_attention_warp1_4_kernel (#7201) 2026-04-07 11:21:57 +08:00
Bingoo 2068656a85 [Optimization] merge matmul and add (#6986) 
* merge matmul and add

* modify format

* using paddle.nn.functional.linear

* using _C_ops.linear

* using paddle.nn.functional.linear

* add FLAGS_use_legacy_linear env var in test case

* fix format

* add assert and remove env

* modify format

* using matmul for no bias

* modify accurate baseline
 2026-04-03 18:02:03 +08:00
AIbin 1090f8b123 [Models]support GLM4.7 Flash && Ernie_MLA (#7139) 
* support GLM4.7 Flash && Ernie_MLA
 2026-04-03 17:41:33 +08:00
lizexu123 5f612a348d [BugFix] fix flashinfer-cutedsl moe nvfp4 (#7120) 
* fix nvfp4

* fix

* add document

* fix nvfp4

* support eb5

* support bka

* support eb5

* support xpu

* fix

* fix

* add import cutedsl

* fix

* fix

* fix test

* fix H卡

* update document

* fix

* update document

* update document

* fix
 2026-04-03 15:43:19 +08:00