[None][feat] Don't review Stack PR to support Qwen3.8-2.4T-A95B-FP8 best perf - #17537
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Wanli-Jiang wants to merge 18 commits into
Closed
[None][feat] Don't review Stack PR to support Qwen3.8-2.4T-A95B-FP8 best perf#17537Wanli-Jiang wants to merge 18 commits into
Wanli-Jiang wants to merge 18 commits into
Conversation
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Add an opt-in, offline-cache dispatcher for Blackwell BF16 GEMMs with M <= 32. Route exact graph/eager shapes to FlashInfer direct or split-K tactics, or preserve the existing TensorRT-LLM path, while validating cache and runtime provenance. Initialize the dispatcher with the model, retain an explicit rollback path, and support debug-only hot-shape collection with focused unit coverage. Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
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Close since all PRs (except the online EPLB one) were merged. |
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Feature
Don't review, this PR is to support the optimized Qwen3.8-2.4T-A95b-FP8 and NVFP4 best low-latency and high-throughput perf, mentioned in #17594.
Note
We will split this PR into sevaral smaller PRs to upstream to main branch, see list as below: