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[DeepSeek V4.1] Add DeepSelect JIT kernel. - #40556

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BBuf merged 14 commits into
sgl-project:mainfrom
yuyu5333:feature/dsv41-deepselect-sm90
Sep 26, 2026
Merged

BBuf merged 14 commits into
sgl-project:mainfrom
yuyu5333:feature/dsv41-deepselect-sm90

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@yuyu5333

@yuyu5333 yuyu5333 commented Sep 21, 2026 •

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Motivation

#39421.

This PR moves DeepSelect to the existing JIT infrastructure so only the required call signature is compiled for the local CUDA target.

Modifications

  • Remove the DeepSelect AOT target, bindings, and explicit instantiations.
  • Move the vendored kernel headers under jit/csrc/deepselect/vendor.
  • Add a JIT C++ entry point and Python wrapper for BF16/FP32, int32/int64
    indices, normal and cluster kernels, sorting, offsets, and variable lengths.
  • Keep the DeepSelect CUDA algorithm unchanged. The three kernel headers only
    drop includes of the deleted AOT topk_select.h files.
  • Add C++ argument/storage validation, aligned output staging, and empty-batch
    handling.
  • Use the JIT framework's local target directly. No ScopedCudaDevice, runtime
    C++ SM check, or override_jit_cuda_arch is added.

Accuracy Tests

Speed Tests and Profiling

The complete candidate path was benchmarked on NVIDIA H20 using:

  • FP32 candidate logits.
  • topk_blocks=2048.
  • 20 warmup iterations.
  • 100 measured iterations.
  • Median latency.
  • L2 cache flushing before every measured iteration.
  • Two complete benchmark runs; the tables report the mean of the two medians.

The measured region includes:

candidate block-score reduction
  -> candidate Top-K
  -> candidate-mask publication
  -> downstream paged Top-K

Final Top-K 512

Rows Sequence length PyTorch Fused AOT Speedup
1 128K 153.264 us 44.112 us 3.47x
1 256K 179.744 us 63.712 us 2.82x
1 512K 179.456 us 73.888 us 2.43x
1 1M 188.976 us 96.624 us 1.96x
6 128K 166.032 us 44.064 us 3.77x
6 256K 180.048 us 59.648 us 3.02x
6 512K 203.168 us 73.168 us 2.78x
6 1M 277.936 us 104.672 us 2.66x

Final Top-K 2048

Rows Sequence length PyTorch Fused AOT Speedup
1 128K 154.304 us 45.056 us 3.42x
1 256K 176.864 us 64.720 us 2.73x
1 512K 179.872 us 75.168 us 2.39x
1 1M 187.600 us 98.096 us 1.91x
6 128K 167.328 us 45.168 us 3.70x
6 256K 180.592 us 60.656 us 2.98x
6 512K 204.368 us 74.256 us 2.75x
6 1M 279.296 us 106.032 us 2.63x

Across all 16 shapes:

  • Speedup range: 1.91x–3.77x.
  • Geometric-mean speedup: 2.79x.
  • Best result: 3.77x for 6 rows, 128K sequence length, and final Top-K 512.

The AOT Top-K kernel was also compared directly with the external DeepSelect implementation at width 131072 and Top-K 2048. The latency difference was approximately 0.3% to 0.4%, indicating that moving the kernel into sgl-kernel does not introduce a kernel-level performance regression.

Checklist

Review and Merge Process

  1. Ping Merge Oncalls to start the process. See the PR Merge Process.
  2. Get approvals from CODEOWNERS and other reviewers.
  3. Trigger CI tests with comments or contact authorized users to do so.
    • Common commands include /tag-and-rerun-ci, /tag-run-ci-label, /rerun-failed-ci
  4. After green CI and required approvals, ask Merge Oncalls or people with Write permission to merge the PR.

CI States

Latest PR Test (Base): ❌ Run #36169401421
Latest PR Test (Extra): ❌ Run #36169401278
Latest PR Test (AMD ROCm 10): ❌ Run #36169401651

Comment thread python/sglang/kernels/aot/python/sgl_kernel/__init__.py Outdated
Comment thread python/sglang/kernels/aot/python/sgl_kernel/deepselect.py Outdated
Comment thread python/sglang/srt/layers/attention/dsv4/candidate_indexer.py
Comment thread python/sglang/kernels/aot/python/sgl_kernel/deepselect.py Outdated
@yuyu5333
yuyu5333 force-pushed the feature/dsv41-deepselect-sm90 branch from 973eb23 to 1c14325 Compare September 22, 2026 07:06
yuyu5333 and others added 9 commits September 22, 2026 19:35
The AOT build compiled all 86 explicit instantiations of DeepSelect's top-k
into sgl_kernel and resolved a TopkSelectConfig at runtime through nested
BOOL_SWITCH macros. A JIT build targets one architecture and one call
signature, so the axes those macros expanded -- value dtype, index dtype,
sorted_value, sorted_index, return_value, the top-k bucket and the cluster
size -- become template arguments chosen in Python, and the compiler
instantiates only the one or two kernels a module can reach. What is left in
C++ is the decision that depends on the launch shape.

- Vendor the upstream kernel headers under jit/csrc/deepselect/vendor,
  dropping the instantiations, api.cpp and dispatch_utils.h.
- Add entry.cuh: tensor validation, the TopkSelectArgs block, and the
  TopkNormal / TopkCluster host entry points.
- Add ops/deep_select.py: one module per (value dtype, top-k bucket,
  normal or cluster), with the configuration tables it selects from.
- Promote DeviceCacheMap out of host::runtime::details and add
  get_max_smem_per_block, which the kernels' shared-memory budget needs.
- Add aligned_new_empty for the padded row strides DeepSelect requires.

Verified on an H200: every (dtype, bucket, cluster) module compiles for
sm_90a, and 18 correctness cases match torch.topk -- both wave tunings, the
8-CTA cluster path, variable row lengths via `end`, and the indices-only path.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
@BBuf

BBuf commented Sep 25, 2026

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Please fix lint

@yuyu5333

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Please fix lint

Done.

@DarkSharpness

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/rerun-test test/registered/kernels/ops/attention/test_deep_select.py

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github-actions Bot commented Sep 26, 2026 •

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Results for /rerun-test test/registered/kernels/ops/attention/test_deep_select.py:

🚀 1-gpu-h100 (1 test): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/attention/test_deep_select.py

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/rerun-group kernels

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github-actions Bot commented Sep 26, 2026 •

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Results for /rerun-group kernels:

🚀 1-gpu-h100 (186 tests): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/activation/test_activation.py
cd test/ && python3 registered/kernels/ops/attention/test_c128_v2.py
cd test/ && python3 registered/kernels/ops/attention/test_c4_v2.py
cd test/ && python3 registered/kernels/ops/attention/test_clamp_position.py
cd test/ && python3 registered/kernels/ops/attention/test_combine_topk_swa_indices.py
cd test/ && python3 registered/kernels/ops/attention/test_concat_mla.py
cd test/ && python3 registered/kernels/ops/attention/test_cutedsl_gdn.py
cd test/ && python3 registered/kernels/ops/attention/test_dcp_lse_combine.py
cd test/ && python3 registered/kernels/ops/attention/test_deep_select.py
cd test/ && python3 registered/kernels/ops/attention/test_deepseek_v4_compress_plan_bounds.py
cd test/ && python3 registered/kernels/ops/attention/test_deepseek_v4_compress_state_runtime_shapes.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_indexer.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_kpool_metadata_fusion.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_kpool_multi_pool.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_metadata.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_metadata_replay.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_multi_ctas_counter.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_sink_pad_cache.py
cd test/ && python3 registered/kernels/ops/attention/test_dsa_transform_index.py
cd test/ && python3 registered/kernels/ops/attention/test_dsv32_indexer_fusion.py
cd test/ && python3 registered/kernels/ops/attention/test_dsv4_indexer_quant.py
cd test/ && python3 registered/kernels/ops/attention/test_dsv4_q_rope_store.py
cd test/ && python3 registered/kernels/ops/attention/test_flash_attention_3_only_qv.py
cd test/ && python3 registered/kernels/ops/attention/test_flash_attention_4.py
cd test/ && python3 registered/kernels/ops/attention/test_flash_mla_backends.py
cd test/ && python3 registered/kernels/ops/attention/test_fp4_indexer.py
cd test/ && python3 registered/kernels/ops/attention/test_fused_kda_conv_recurrent_verify.py
cd test/ && python3 registered/kernels/ops/attention/test_fused_metadata_copy.py
cd test/ && python3 registered/kernels/ops/attention/test_fused_qk_rmsnorm_rope_gate.py
cd test/ && python3 registered/kernels/ops/attention/test_fused_store_index_cache.py
cd test/ && python3 registered/kernels/ops/attention/test_fused_verify_triton_gdn.py
cd test/ && python3 registered/kernels/ops/attention/test_gdn_decode_fused_proj_conv.py
cd test/ && python3 registered/kernels/ops/attention/test_inkling_attn_prologue_tau.py
cd test/ && python3 registered/kernels/ops/attention/test_inkling_rel_proj.py
cd test/ && python3 registered/kernels/ops/attention/test_inkling_row_scale.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_fused_decode.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_fused_verify_backend.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_gate_beta_cumsum.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_helion.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_replayssm_fold.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_replayssm_fold_batched.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_replayssm_ring_fused.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_replayssm_ring_ragged.py
cd test/ && python3 registered/kernels/ops/attention/test_minimax_decode_topk.py
cd test/ && python3 registered/kernels/ops/attention/test_minimax_qknorm_rope.py
cd test/ && python3 registered/kernels/ops/attention/test_mla_kv_pack_quantize_fp8.py
cd test/ && python3 registered/kernels/ops/attention/test_paged_mqa_metadata.py
cd test/ && python3 registered/kernels/ops/attention/test_pos_enc.py
cd test/ && python3 registered/kernels/ops/attention/test_q8kv8_sparse_prefill_backend.py
cd test/ && python3 registered/kernels/ops/attention/test_qprep_bf16_fp8_sm90.py
cd test/ && python3 registered/kernels/ops/attention/test_rope.py
cd test/ && python3 registered/kernels/ops/attention/test_sparse_mla_q8kv8_prefill_sm90.py
cd test/ && python3 registered/kernels/ops/attention/test_subblock_sage_fp8_sm90.py
cd test/ && python3 registered/kernels/ops/attention/test_subblock_sparse_sm90.py
cd test/ && python3 registered/kernels/ops/attention/test_suffix_attention_merge.py
cd test/ && python3 registered/kernels/ops/attention/test_tilelang_dsa_zero_rope.py
cd test/ && python3 registered/kernels/ops/attention/test_topk_v2.py
cd test/ && python3 registered/kernels/ops/cuda_graph/test_cuda_graph_dedup.py
cd test/ && python3 registered/kernels/ops/diffusion/test_activation.py
cd test/ && python3 registered/kernels/ops/diffusion/test_complex_rope.py
cd test/ && python3 registered/kernels/ops/diffusion/test_cosmos3_edge_fusions.py
cd test/ && python3 registered/kernels/ops/diffusion/test_gelu_tanh_cat.py
cd test/ && python3 registered/kernels/ops/diffusion/test_helios_qk_rope.py
cd test/ && python3 registered/kernels/ops/diffusion/test_interleaved_rope_fp64.py
cd test/ && python3 registered/kernels/ops/diffusion/test_joint_qkv_cat.py
cd test/ && python3 registered/kernels/ops/diffusion/test_layernorm_modulate.py
cd test/ && python3 registered/kernels/ops/diffusion/test_layout.py
cd test/ && python3 registered/kernels/ops/diffusion/test_lingbot_modulation.py
cd test/ && python3 registered/kernels/ops/diffusion/test_longcat_image_norm_modulate.py
cd test/ && python3 registered/kernels/ops/diffusion/test_ltx25_decoder_rope.py
cd test/ && python3 registered/kernels/ops/diffusion/test_model_fast_paths.py
cd test/ && python3 registered/kernels/ops/diffusion/test_modulate.py
cd test/ && python3 registered/kernels/ops/diffusion/test_norm.py
cd test/ && python3 registered/kernels/ops/diffusion/test_qwen_qkv_epilogue.py
cd test/ && python3 registered/kernels/ops/diffusion/test_rmsnorm_preserve_reduction.py
cd test/ && python3 registered/kernels/ops/diffusion/test_rope.py
cd test/ && python3 registered/kernels/ops/diffusion/test_rope_ltx2.py
cd test/ && python3 registered/kernels/ops/diffusion/test_routing.py
cd test/ && python3 registered/kernels/ops/diffusion/test_sana_wm_conv_post.py
cd test/ && python3 registered/kernels/ops/diffusion/test_sana_wm_reverse_scan.py
cd test/ && python3 registered/kernels/ops/diffusion/test_sites.py
cd test/ && python3 registered/kernels/ops/diffusion/test_wan_norm_silu_post.py
cd test/ && python3 registered/kernels/ops/disaggregation/test_kv_checksum.py
cd test/ && python3 registered/kernels/ops/dllm/test_gemma4_sampling_cuda.py
cd test/ && python3 registered/kernels/ops/elementwise/test_add_constant.py
cd test/ && python3 registered/kernels/ops/elementwise/test_bias_gelu.py
cd test/ && python3 registered/kernels/ops/elementwise/test_fast_topk.py
cd test/ && python3 registered/kernels/ops/elementwise/test_hc_combine.py
cd test/ && python3 registered/kernels/ops/elementwise/test_launch_carveout.py
cd test/ && python3 registered/kernels/ops/embeddings/test_qwen4_ple_offload.py
cd test/ && python3 registered/kernels/ops/gemm/test_chunked_sgmv_cuda_graph.py
cd test/ && python3 registered/kernels/ops/gemm/test_cutedsl_dsv3_fused_a_gemm.py
cd test/ && python3 registered/kernels/ops/gemm/test_dsv3_fused_a_gemm.py
cd test/ && python3 registered/kernels/ops/gemm/test_tiny_gemm.py
cd test/ && python3 registered/kernels/ops/kimi_k3/test_kimi_k3_prerequisite_ops.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_const_sync.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_kernel_config.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_pipeline_e2e.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_plan_fuzz.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_plan_hand.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_scatter_req_token_ids.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_verify_fuzz.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_verify_hand.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_write_fuzz.py
cd test/ && python3 registered/kernels/ops/kv_canary/test_write_hand.py
cd test/ && python3 registered/kernels/ops/kvcache/test_fused_fp8_qkv_kv_cache.py
cd test/ && python3 registered/kernels/ops/kvcache/test_hicache.py
cd test/ && python3 registered/kernels/ops/kvcache/test_hicache_page_first_write_back.py
cd test/ && python3 registered/kernels/ops/kvcache/test_hicache_tma.py
cd test/ && python3 registered/kernels/ops/kvcache/test_hisparse.py
cd test/ && python3 registered/kernels/ops/kvcache/test_hisparse_slot_mapping.py
cd test/ && python3 registered/kernels/ops/kvcache/test_hisparse_spec.py
cd test/ && python3 registered/kernels/ops/kvcache/test_kvcacheio_asymmetric.py
cd test/ && python3 registered/kernels/ops/kvcache/test_minimax_store_kv_index.py
cd test/ && python3 registered/kernels/ops/kvcache/test_pd_dcp_gather.py
cd test/ && python3 registered/kernels/ops/kvcache/test_set_mla_kv_buffer.py
cd test/ && python3 registered/kernels/ops/kvcache/test_store_cache.py
cd test/ && python3 registered/kernels/ops/kvcache/test_unified_swa_tail_allocation.py
cd test/ && python3 registered/kernels/ops/layernorm/test_fused_add_rmsnorm.py
cd test/ && python3 registered/kernels/ops/layernorm/test_fused_eh_norm.py
cd test/ && python3 registered/kernels/ops/layernorm/test_grouped_gemma_rmsnorm.py
cd test/ && python3 registered/kernels/ops/layernorm/test_hc_combine.py
cd test/ && python3 registered/kernels/ops/layernorm/test_hy4_decode_kernels.py
cd test/ && python3 registered/kernels/ops/layernorm/test_hy4_hpc_ihc.py
cd test/ && python3 registered/kernels/ops/layernorm/test_mhc_kernels.py
cd test/ && python3 registered/kernels/ops/layernorm/test_qknorm.py
cd test/ && python3 registered/kernels/ops/layernorm/test_qknorm_across_heads.py
cd test/ && python3 registered/kernels/ops/layernorm/test_rmsnorm.py
cd test/ && python3 registered/kernels/ops/layernorm/test_rmsnorm_hf.py
cd test/ && python3 registered/kernels/ops/mamba/test_causal_conv1d.py
cd test/ && python3 registered/kernels/ops/mamba/test_fused_replay_state_indices.py
cd test/ && python3 registered/kernels/ops/mamba/test_lfm_short_conv.py
cd test/ && python3 registered/kernels/ops/mamba/test_sconv_cache.py
cd test/ && python3 registered/kernels/ops/mamba/test_sconv_decode_metadata.py
cd test/ && python3 registered/kernels/ops/mamba/test_sconv_extend_metadata.py
cd test/ && python3 registered/kernels/ops/mamba/test_transfer_mamba.py
cd test/ && python3 registered/kernels/ops/memory/test_adler32_checksum.py
cd test/ && python3 registered/kernels/ops/memory/test_swa_page_free.py
cd test/ && python3 registered/kernels/ops/minicpm_sala/test_get_block_table.py
cd test/ && python3 registered/kernels/ops/minicpm_sala/test_minicpm_compress_k.py
cd test/ && python3 registered/kernels/ops/moe/test_deepep_v2_contig_scatter.py
cd test/ && python3 registered/kernels/ops/moe/test_fp8_per_token_to_per_tensor_quant.py
cd test/ && python3 registered/kernels/ops/moe/test_fused_swiglu_epilogue.py
cd test/ && python3 registered/kernels/ops/moe/test_fused_topk_deepseek.py
cd test/ && python3 registered/kernels/ops/moe/test_humming_fp8_dispatch.py
cd test/ && python3 registered/kernels/ops/moe/test_inkling_silu_and_mul.py
cd test/ && python3 registered/kernels/ops/moe/test_jit_grouped_topk.py
cd test/ && python3 registered/kernels/ops/moe/test_marlin_packed_topk_unpack.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_align_block_size.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_align_small_numel.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_fused_gate.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_lora_align_block_size.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_preprocess.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_tma_cache.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_topk_sigmoid.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_topk_softmax.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_wna16_marlin.py
cd test/ && python3 registered/kernels/ops/moe/test_mova_routed_linear.py
cd test/ && python3 registered/kernels/ops/moe/test_pad_expert_counts.py
cd test/ && python3 registered/kernels/ops/moe/test_post_reorder_deepgemm.py
cd test/ && python3 registered/kernels/ops/moe/test_renorm.py
cd test/ && python3 registered/kernels/ops/moe/test_shuffle_rows_with_scales.py
cd test/ && python3 registered/kernels/ops/moe/test_sigmoid_gate_mul.py
cd test/ && python3 registered/kernels/ops/qsa/test_qsa_indexer.py
cd test/ && python3 registered/kernels/ops/qsa/test_qsa_strided_zero_fill.py
cd test/ && python3 registered/kernels/ops/quantization/test_awq_dequantize.py
cd test/ && python3 registered/kernels/ops/quantization/test_awq_marlin_moe_repack.py
cd test/ && python3 registered/kernels/ops/quantization/test_awq_marlin_repack.py
cd test/ && python3 registered/kernels/ops/quantization/test_diffusion_modelopt_fp8_scaled_mm.py
cd test/ && python3 registered/kernels/ops/quantization/test_gptq_marlin.py
cd test/ && python3 registered/kernels/ops/quantization/test_gptq_marlin_repack.py
cd test/ && python3 registered/kernels/ops/quantization/test_hadamard_jit.py
cd test/ && python3 registered/kernels/ops/quantization/test_nvfp4_marlin.py
cd test/ && python3 registered/kernels/ops/quantization/test_per_tensor_quant_fp8.py
cd test/ && python3 registered/kernels/ops/quantization/test_per_token_group_quant.py
cd test/ && python3 registered/kernels/ops/quantization/test_per_token_group_quant_8bit_v2.py
cd test/ && python3 registered/kernels/ops/quantization/test_per_token_quant_fp8.py
cd test/ && python3 registered/kernels/ops/sampling/test_apply_custom_logit_processor.py
cd test/ && python3 registered/kernels/ops/speculative/test_dflash_domino.py
cd test/ && python3 registered/kernels/ops/speculative/test_draft_decode_window.py
cd test/ && python3 registered/kernels/ops/speculative/test_eagle_utils.py
cd test/ && python3 registered/kernels/ops/speculative/test_ngram_embedding.py
cd test/ && python3 registered/kernels/ops/speculative/test_ngram_utils.py
cd test/ && python3 registered/kernels/ops/speculative/test_spec_kv_indices_grid.py
cd test/ && python3 registered/kernels/ops/speculative/test_speculative_sampling.py
cd test/ && python3 registered/kernels/ops/speculative/test_verify_commit_triton.py

🚀 4-gpu-b200 (59 tests): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/activation/test_situ_and_mul.py
cd test/ && python3 registered/kernels/ops/attention/test_attn_res.py
cd test/ && python3 registered/kernels/ops/attention/test_cute_dsl_fp8_paged_mqa_logits.py
cd test/ && python3 registered/kernels/ops/attention/test_deepgemm_paged_mqa_logits.py
cd test/ && python3 registered/kernels/ops/attention/test_dense_prefill_indexer.py
cd test/ && python3 registered/kernels/ops/attention/test_dsv41_prefill_sparse_indexer.py
cd test/ && python3 registered/kernels/ops/attention/test_flash_attention_4.py
cd test/ && python3 registered/kernels/ops/attention/test_flashmla_sched_meta.py
cd test/ && python3 registered/kernels/ops/attention/test_fp8_wo_a.py
cd test/ && python3 registered/kernels/ops/attention/test_hy4_hpc_gated_mla.py
cd test/ && python3 registered/kernels/ops/attention/test_inkling_attn_prologue_tau.py
cd test/ && python3 registered/kernels/ops/attention/test_inkling_rel_proj.py
cd test/ && python3 registered/kernels/ops/attention/test_inkling_row_scale.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_decode_mtp.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_mtp_cutedsl_replayssm_ring.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_prefill.py
cd test/ && python3 registered/kernels/ops/attention/test_kda_track_state.py
cd test/ && python3 registered/kernels/ops/attention/test_minimax_decode_topk.py
cd test/ && python3 registered/kernels/ops/attention/test_minimax_decode_topk_page_table.py
cd test/ && python3 registered/kernels/ops/attention/test_minimax_qknorm_rope.py
cd test/ && python3 registered/kernels/ops/attention/test_mla_output_gate.py
cd test/ && python3 registered/kernels/ops/attention/test_wo_a_fused.py
cd test/ && python3 registered/kernels/ops/communication/test_collectives.py
cd test/ && python3 registered/kernels/ops/communication/test_deterministic_reduce_scatter.py
cd test/ && python3 registered/kernels/ops/diffusion/test_cosmos3_edge_fusions.py
cd test/ && python3 registered/kernels/ops/diffusion/test_flux2_fp8_norm_quant.py
cd test/ && python3 registered/kernels/ops/diffusion/test_flux2_gated_resnorm.py
cd test/ && python3 registered/kernels/ops/diffusion/test_flux2_qkv_epilogue.py
cd test/ && python3 registered/kernels/ops/diffusion/test_flux2_token_cat_fp8.py
cd test/ && python3 registered/kernels/ops/diffusion/test_layout.py
cd test/ && python3 registered/kernels/ops/diffusion/test_modulate.py
cd test/ && python3 registered/kernels/ops/diffusion/test_mxfp8_swizzled.py
cd test/ && python3 registered/kernels/ops/diffusion/test_qknorm_rope_out_of_place.py
cd test/ && python3 registered/kernels/ops/diffusion/test_qwen_image_norm_fp8_quant.py
cd test/ && python3 registered/kernels/ops/diffusion/test_qwen_output_bias_absorption.py
cd test/ && python3 registered/kernels/ops/diffusion/test_qwen_qkv_epilogue.py
cd test/ && python3 registered/kernels/ops/diffusion/test_rope_ltx2.py
cd test/ && python3 registered/kernels/ops/diffusion/test_vdn_delta_factors.py
cd test/ && python3 registered/kernels/ops/diffusion/test_vdn_linear_branch.py
cd test/ && python3 registered/kernels/ops/elementwise/test_bias_gelu.py
cd test/ && python3 registered/kernels/ops/gemm/test_cutedsl_bf16_gemm.py
cd test/ && python3 registered/kernels/ops/gemm/test_minimax_fused_qkv_index_gemm.py
cd test/ && python3 registered/kernels/ops/hyperconnection/test_hc_mix_triton.py
cd test/ && python3 registered/kernels/ops/kvcache/test_fused_fp8_qkv_kv_cache.py
cd test/ && python3 registered/kernels/ops/kvcache/test_minimax_store_kv_index.py
cd test/ && python3 registered/kernels/ops/kvcache/test_mxfp8_kv_reserved_slot.py
cd test/ && python3 registered/kernels/ops/layernorm/test_mxfp8_epilogue.py
cd test/ && python3 registered/kernels/ops/mamba/test_causal_conv1d.py
cd test/ && python3 registered/kernels/ops/moe/test_fp4_moe.py
cd test/ && python3 registered/kernels/ops/moe/test_mega_moe_pre_dispatch.py
cd test/ && python3 registered/kernels/ops/moe/test_minimax_quant_scatter.py
cd test/ && python3 registered/kernels/ops/moe/test_moe_front.py
cd test/ && python3 registered/kernels/ops/moe/test_post_reorder_deepgemm.py
cd test/ && python3 registered/kernels/ops/moe/test_situ_and_mul_quant.py
cd test/ && python3 registered/kernels/ops/qsa/test_qsa.py
cd test/ && python3 registered/kernels/ops/quantization/test_diffusion_nvfp4_scaled_mm.py
cd test/ && python3 registered/kernels/ops/quantization/test_nvfp4_native_kv_layout.py
cd test/ && python3 registered/kernels/ops/quantization/test_per_token_group_quant.py
cd test/ && python3 registered/kernels/ops/quantization/test_per_token_quant_fp8.py

🚀 1-gpu-5090 (11 tests): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/attention/test_flash_attention_4_sm120.py
cd test/ && python3 registered/kernels/ops/attention/test_sm120_paged_mqa_logits.py
cd test/ && python3 registered/kernels/ops/embeddings/test_vocab_parallel_embedding.py
cd test/ && python3 registered/kernels/ops/gemm/test_fp8_blockwise_gemm.py
cd test/ && python3 registered/kernels/ops/gemm/test_sm120_fp8_linear.py
cd test/ && python3 registered/kernels/ops/layernorm/test_fused_op_gpu_parity.py
cd test/ && python3 registered/kernels/ops/layernorm/test_gemma4_fused_routing.py
cd test/ && python3 registered/kernels/ops/quantization/test_nvfp4_marlin.py
cd test/ && python3 registered/kernels/ops/speculative/test_boundary_kv_fix_kernels.py
cd test/ && python3 registered/kernels/ops/speculative/test_gather_spec_extras.py
cd test/ && python3 registered/kernels/ops/speculative/test_spec_topk1.py

🚀 4-gpu-gb300 (1 test): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/attention/test_kda_prefill.py

🚀 8-gpu-h200 (4 tests): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/communication/test_ar_fusion.py
cd test/ && python3 registered/kernels/ops/communication/test_custom_all_reduce.py
cd test/ && python3 registered/kernels/ops/communication/test_symm_mem_all_gather.py
cd test/ && python3 registered/kernels/ops/communication/test_tp_qknorm.py

🚀 8-gpu-b200 (1 test): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/communication/test_collectives.py

🚀 ubuntu-latest (3 tests): ✅ View workflow run

cd test/ && python3 registered/kernels/ops/kv_canary/test_utils.py
cd test/ && python3 registered/kernels/ops/layernorm/test_fused_op.py
cd test/ && python3 registered/kernels/ops/layernorm/test_kernels_namespace.py

⛔ registered/kernels/ops/attention/kda_flydsl/test_kimi_k3_kda_decode.py: test/registered/kernels/ops/attention/kda_flydsl/test_kimi_k3_kda_decode.py is registered for AMD (suite stage-b-test-1-gpu-small-amd-mi35x), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/attention/test_fp4_indexer_hip.py: test/registered/kernels/ops/attention/test_fp4_indexer_hip.py is registered for AMD (suite stage-b-test-1-gpu-small-amd-mi35x), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/attention/test_lean_attention.py: test/registered/kernels/ops/attention/test_lean_attention.py is registered for AMD (suite stage-b-test-1-gpu-small-amd-mi35x), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/attention/test_minimax_m3_qk_norm_rope.py: test/registered/kernels/ops/attention/test_minimax_m3_qk_norm_rope.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/attention/test_triton_sparse_mla_hip.py: test/registered/kernels/ops/attention/test_triton_sparse_mla_hip.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/communication/test_amd_deterministic_custom_allreduce.py: test/registered/kernels/ops/communication/test_amd_deterministic_custom_allreduce.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/communication/test_amd_nccl_allreduce_determinism.py: test/registered/kernels/ops/communication/test_amd_nccl_allreduce_determinism.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/communication/test_quick_allreduce_bf16_range.py: test/registered/kernels/ops/communication/test_quick_allreduce_bf16_range.py is registered for AMD (suite stage-c-test-4-gpu-amd), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/diffusion/test_norm_flydsl.py: test/registered/kernels/ops/diffusion/test_norm_flydsl.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/layernorm/test_fused_qk_gemma_rmsnorm_gate.py: test/registered/kernels/ops/layernorm/test_fused_qk_gemma_rmsnorm_gate.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/layernorm/test_mhc_aiter_hip.py: test/registered/kernels/ops/layernorm/test_mhc_aiter_hip.py is registered for AMD (suite stage-b-test-1-gpu-small-amd-mi35x), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/layernorm/test_minimax_m3_rmsnorm.py: test/registered/kernels/ops/layernorm/test_minimax_m3_rmsnorm.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/moe/test_kpool_topk_transform_fused.py: test/registered/kernels/ops/moe/test_kpool_topk_transform_fused.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/moe/test_minimax_m3_mxfp8.py: test/registered/kernels/ops/moe/test_minimax_m3_mxfp8.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/moe/test_moe_route_radix4.py: test/registered/kernels/ops/moe/test_moe_route_radix4.py is registered for AMD (suite stage-b-test-1-gpu-small-amd-mi35x), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/moe/test_sigmoid_gate_mul_broadcast.py: test/registered/kernels/ops/moe/test_sigmoid_gate_mul_broadcast.py is registered for AMD (suite jit-kernel-unit-test-amd), not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

⛔ registered/kernels/ops/quantization/test_fp8_utils_aiter.py: test/registered/kernels/ops/quantization/test_fp8_utils_aiter.py is registered for AMD, not for CUDA or CPU; rerun-test.yml has no AMD job. Rerun it with /rerun-failed-ci, or dispatch the AMD workflow manually.

@BBuf
BBuf merged commit 7bc9884 into sgl-project:main Sep 26, 2026
95 of 110 checks passed
@1am9trash 1am9trash mentioned this pull request Sep 26, 2026
5 tasks
kevin-mii added a commit to kevin-mii/sglang that referenced this pull request Sep 26, 2026
get_max_smem_per_block (sgl-project#40556) reads cudaDevAttrMaxSharedMemoryPerBlock[Optin], which the
HIP alias block did not define, so every JIT module including runtime.cuh failed to build
on ROCm.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@yiakwy-xpu-ml-framework-team

yiakwy-xpu-ml-framework-team commented Oct 1, 2026 •

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Could you help to compare with https://github.com/yiakwy-xpu-ml-framework-team/flash-float-jit-kernels top v3 in old days.

@yiakwy-xpu-ml-framework-team

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The new topk has been added to sglang at #40556

@yiakwy-xpu-ml-framework-team

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cc @BBuf @yuyu5333

截屏2026-10-01 20 50 52

@DarkSharpness

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@yiakwy-xpu-ml-framework-team pls change the v2 baseline to JIT v2 (the AOT version is deprecated).

  1. The v2 baseline should have enabled cluster path on hopper.
  2. The performance of DeepSelect in low bs is not optimized at all. We're still optimizing that.
  3. Where is the benchmark? Does it fairly compare with each baseline. The number does not make sense to me.

@yiakwy-xpu-ml-framework-team

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@yiakwy-xpu-ml-framework-team pls change the v2 baseline to JIT v2 (the AOT version is deprecated).

  1. The v2 baseline should have enabled cluster path on hopper.
  2. The performance of DeepSelect in low bs is not optimized at all. We're still optimizing that.
  3. Where is the benchmark? Does it fairly compare with each baseline. The number does not make sense to me.

We have a record of how to optimizing topk previously. Kindly check it out https://github.com/yiakwy-xpu-ml-framework-team/flash-float-jit-kernels/blob/main/AGENTS.md.

Let me know if I can help ! D

@DarkSharpness

// tma gather4 (https://docs.nvidia.com/cuda/parallel-thread-execution/#data-movement-and-conversion-instructions-cp-async-bulk-tensor)
// Please pay attention that the coordinates of TMA gather4 are int32, which may lead to overflow under some scenarios
CUTE_DEVICE
void tma_gather4(const void* desc_ptr, transac_bar_t &mbar_ptr, void* smem_ptr, int col_idx, int4 row_idxs, int64_t cache_hint) {

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Do we have scenarios (single instruction test), where this outperforms te orignal method ?

@yiakwy-xpu-ml-framework-team

yiakwy-xpu-ml-framework-team commented Oct 5, 2026 •

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@DarkSharpness I noticed your great efforts in V2 optimizaiton (
The reference v2 : #38829) in Sep, actually we previously optimization lies old V3 (#23761) in April.

Could you help to migrate the V3 to the repo ?

Oh just find that @DarkSharpness we have talked about this in April. I guess we can do it again how do you suggest ?

arbi-dev added a commit to arbicity/sglang-turbo that referenced this pull request Oct 7, 2026
…5.21 (#12)

* [Diffusion] Fuse LongCat GELU+cat and support Edit-Turbo BCG (sgl-project#40384)

* [Diffusion] Fuse lossless Wan VAE post-ops for LongLive 2 I2V (sgl-project#40405)

* Fix TBO child batch missing dp_spec_prefill_coordination_applied (sgl-project#41096)

* [AMD] Tune Triton sparse MLA on gfx950 and make split-K workspaces graph-safe (sgl-project#39059)

* [Diffusion] Fuse lossless LingBot World FP32 normalization (sgl-project#40425)

* [AMD][DSV4] fp8 unified_kv decode: wave-aware split count past 40 tokens (sgl-project#40878)

Signed-off-by: Yanfei Wang <yanfwang@crsuse2-m2m-v2-017.us-east2-a.compute.internal>

* [AMD] Add tuned dsv4 shape (sgl-project#40996)

* [Diffusion] Enable lossless SANA-Video eager conv fusions for 12.6% lower latency (sgl-project#40388)

* [Diffusion] migrate the whole _register_configs from registry.py to the model own config file (sgl-project#40612)

* Refactor the Cute-DSL AR fusion to support DeepseekV2 archs (GLM-5.3, etc.) (sgl-project#39816)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>

* [HiCache] Make host reclamation independent of transfer order (sgl-project#40512)

* [Refactor] Retire the model-specific Kimi K3 kernel namespace (sgl-project#40922)

* [diffusion] update code owner (sgl-project#41130)

* [NPU] Update CANN version to 9.1.0 (sgl-project#40524)

* [PD] Enable deferred decode-side KV release by default (sgl-project#41023)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* [chore] surface the cookbook to users who pip install sglang (sgl-project#40866)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* fix(sampling): validate sampling_seed is an int within int64 range (sgl-project#28960)

Signed-off-by: Ting Sun <suntcrick@gmail.com>

* [HiCache] Demote SWA KV to host on write_back eviction instead of dropping it (sgl-project#40712)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [AMD] ci: move the Miles ROCm 7.2 nightly build to 7.2.4 (sgl-project#40387)

Co-authored-by: Zhiyao Jiang <jessicajiang324@gmail.com>

* [Quant] ModelOpt mixed precision: dispatch block-FP8 MoE experts and derive the block size (sgl-project#38726)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* fix: Triton 3.8 compatbility to support DSV4.1-Flash in CUDA 13.4 image (Rubin) (sgl-project#40805)

* Support unified memory decode host pools (sgl-project#39478)

Co-authored-by: yhzhuang <yhzhuang@fb.com>
Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>
Co-authored-by: Yonghao Zhuang <yhzhuang@users.noreply.github.com>
Co-authored-by: Cheng Wan <cheng.wan@radixark.ai>

* [Fix] Skip the DCP target-verify MLA kernel during FlashInfer autotune (sgl-project#41138)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [DP attention] Publish DP buffer sizes from a ForwardBatch (sgl-project#40858)

Co-authored-by: hanminglu <hanminglu@fb.com>
Co-authored-by: oss-sync bot (pranjalssh) <pranjalssh@users.noreply.github.com>

* [Test] Run the Qwen3.5 Triton DCP nightly with the radix cache enabled (sgl-project#41155)

* [AMD] GLM-5.2 MI355X MXFP4: bump image to 20260923 daily (sgl-project#41109)

* [Fix] Complete the deferred FFN all-reduce before a pipeline-parallel send (sgl-project#41079)

* [Fix] Complete the deferred FFN all-reduce before deepstack addition and aux hidden-state capture (sgl-project#41080)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Refactor] Pass each layer stack's output through a communicator exit (sgl-project#41081)

* [Refactor] Share the MoE output all-reduce between models (sgl-project#41097)

* [Fix] Step-3.5: stop dense layers from summing their output twice under DP attention (sgl-project#41082)

* [Fix] Broadcast requests along attention CP before attention TP (sgl-project#41083)

* [Refactor] Split prepare_attn into a reduction step and per-quant-format residual steps (sgl-project#41084)

* [AMD] Add .co for deepseek v4 fp8 decode kernel and add group decode opt (sgl-project#41120)

* [qwen 3.8 next] Fuse Qwen PLE gate and convolution preparation for target verify (sgl-project#40041)

* MiniMax-M3: MXFP8 dense-only block convert + aiter MXFP8 MoE on gfx950 (sgl-project#36574)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: mikevin920 <mikevin920@yahoo.com>
Co-authored-by: Kevin Mi <mikevin920@gmail.com>
Co-authored-by: Kevin Mi <45493463+kevin-mii@users.noreply.github.com>
Co-authored-by: YC Yen-Ching Tseng <yctseng@amd.com>

* MoE: small-batch sorting path with fused mxfp8 quantisation (sgl-project#36559)

Co-authored-by: mikevin920 <mikevin920@yahoo.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Kevin Mi <mikevin920@gmail.com>
Co-authored-by: Kevin Mi <kevin.mi@radixark.ai>
Co-authored-by: Kevin Mi <45493463+kevin-mii@users.noreply.github.com>
Co-authored-by: YC Yen-Ching Tseng <yctseng@amd.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>

* [DSV4] Fix TRTLLM uniform FP8 KV memory budgeting (sgl-project#41090)

* [Fix] Patch set_dp_buffer_len_from_batch in DP spec prefill coordination test (sgl-project#41162)

* [Docs] Enable Qwen3.8 Flash Next NVIDIA NVFP4 on B200/B300/GB300 (sgl-project#41046)

* [DSV4] Size compressed pools from one per-ratio table in DSV4PoolConfigurator (sgl-project#41049)

* [Bugfix] Align DeepSeek-V4.1 reasoning effort budgets (sgl-project#39929)

Co-authored-by: fengtinglei <fengtinglei@bytedance.com>
Co-authored-by: Liangsheng Yin <lsyincs@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>

* Fix mixed chunk prefill with DP speculative coordination (sgl-project#41179)

* Add 8-node AllReduce/AllGather and MNVLS algorithm support to MSCCL++ (sgl-project#37442)

Co-authored-by: Caio Rocha <caiorocha@microsft.com>

* [HiCache] Batch buffer-only KV backups within each flush (sgl-project#40960)

Co-authored-by: oss-sync bot (pranjalssh) <pranjalssh@users.noreply.github.com>
Co-authored-by: Jialin Ouyang <Jialin.Ouyang@gmail.com>

* [PD] Add a `none` decode retraction backup and subclass seams in the PD queues (sgl-project#41103)

Co-authored-by: metamergebot <metamergebot@users.noreply.github.com>
Co-authored-by: Zhiqiang Xie <zqx@meta.com>

* [Score API] Setwise Scoring Support (sgl-project#38965)

* [DSV4] Account for FlashMLA physical KV page padding in memory budgets (sgl-project#41091)

Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [mem_cache] Drop `is_insert` from `cache_finished_req`; release rows from `release_kv_cache` (sgl-project#40988)

* [AMD] Restore non-DCP Mamba checkpoint donation to fix agent-mode cache hit at high conc with HiCache (sgl-project#40907)

* [diffusion] feat: add opt-in SRT prompt enhancement to image and video APIs (sgl-project#41095)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* Support XQA backend for SpecDec verify (sgl-project#32269)

* [PD] Honor gracefully_exit in disaggregation event loops and keep non-zero-rank launchers alive on SIGTERM (sgl-project#40793)

Co-authored-by: metamergebot <324680979+metamergebot@users.noreply.github.com>
Co-authored-by: Shiyan Deng <dsy842974287@meta.com>

* [Perf] Lazy-load built-in model definitions and nixl_ep at startup (sgl-project#41061)

Co-authored-by: metamergebot <metamergebot@users.noreply.github.com>
Co-authored-by: Yongji Wu <30348494+libertyeagle@users.noreply.github.com>

* [CI] Move GLM-5.2 layer-split test to extra-b-test-8-gpu-b300 (sgl-project#41207)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Fix] Keep the target's DP sync slot in draft scopes (sgl-project#41062)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* [feat] add a system one compatible /v1/systemone route (sgl-project#41208)

* fix(openai): reject request-supplied chat_template by default (sgl-project#28135)

Signed-off-by: Ting Sun <suntcrick@gmail.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [AMD] Fix int32 offset overflow in Triton DSv4 KV store kernels (sgl-project#41159)

* [DeepEP v2] Let a model package supply its per-rank prefill dispatch bound (sgl-project#41201)

Co-authored-by: Xingyu Liu <38244988+charlotte12l@users.noreply.github.com>

* [diffusion] model: support Ming-Image Design and Design-Layer (sgl-project#41067)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [HiCache] Give trailing sidecar storage transfers a contiguous prefix_keys chain (sgl-project#40456)

* [HiCache] fix: Drain pending backups before internal Mamba write-back (sgl-project#41092)

* [AMD] Integrate Aiter MegaMoEv2 for DeepSeek-V4 (sgl-project#35619)

* [Fix] Complete the all-reduce when the flashinfer fused norm declines a batch (sgl-project#41193)

* [Fix] Plan NextN / MTP draft layers as one-layer models and fix the Bailing V2 NextN draft (sgl-project#41194)

* [Fix] Stop counting a deferred FFN sum more than once: replicated TP1 shared expert, dense reduce_scatterv (sgl-project#41195)

* [Refactor] Carry a deferred FFN all-reduce as UnreducedOutput and complete it in the next layer without the fused kernel (sgl-project#41196)

* [Refactor] Leave the FFN reduction to the next layer under attention DP (sgl-project#41197)

* [Refactor] Move Step-3.5, GLM5-Next, Dots3, MiniMax-M3 and Qwen3.5 onto ffn_exit (sgl-project#41198)

* [Refactor] Build prepare_mlp and the layout moves from named steps (sgl-project#41191)

* [Refactor] Take a layer's last-layer fact from its scatter-mode plan (sgl-project#41199)

* [Refactor] Decide an FFN exit's completion once and declare the group it owes (sgl-project#41200)

* [XPU] Disable test_ngram_corpus on XPU and extend XPU CI path filter (sgl-project#41224)

* [Diffusion] Fix AttributeError in grouped forward_batch by installing the residency manager (sgl-project#34417)

Co-authored-by: mickqian <mickqian@users.noreply.github.com>

* [diffusion] Enable lossless Cosmos3 Super T2I QK fusion on Hopper TP2 (sgl-project#40486)

* Revert "[NPU] Fuse FIA KV-cache K/V writes into one npu_scatter_pa_kv_cache call" (sgl-project#41132)

* [ROCm][Bugfix] Keep quantization for mixed Quark Qwen3.5 MTP checkpoints (sgl-project#39064)

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: jacky.cheng <yichiche@amd.com>

* fix(multimodal): return 400 for corrupt image inputs (sgl-project#28131)

Signed-off-by: Ting Sun <suntcrick@gmail.com>
Co-authored-by: Justin Tong <justintong0323@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [unified-memory] Honor move gates in float relocation and size auto HiCache from host capacity (sgl-project#41248)

Co-authored-by: Yonghao Zhuang <yhzhuang@meta.com>

* Fix multimodal feature offload races (sgl-project#40621)

Co-authored-by: cctry <cctry@fb.com>
Co-authored-by: Yongji Wu <yongji@meta.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* [Sampling] Stream sampling masks as per-request arrays (sgl-project#40986)

* [Rust frontend] Decode input_ids without untagged buffering (sgl-project#41246)

Co-authored-by: Jialin Ouyang <Jialin.Ouyang@gmail.com>
Co-authored-by: Lucia Fang <116399278+luccafong@users.noreply.github.com>

* [Test] Remove dead eval modules and point GSM8K/MMLU docs to sgl-eval (sgl-project#41215)

* [Test] Add in-process sgl-eval adapter and move validated GSM8K tests to it (sgl-project#41216)

* [LoRA] Size dense row/column-parallel LoRA buffers from the base linear's real shard (sgl-project#39379)

* [KVCache] Support lmcache unified radix cache (sgl-project#38652)

Signed-off-by: chunxiaozheng <1179548172@qq.com>
Co-authored-by: Yuwei An <ayw.sirius19@gmail.com>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [sglang][lora] Support DP attention in LoRA backends (sgl-project#36389)

Co-authored-by: Ethan (Yusheng) Su <yushengsu@radixark.ai>

* dsv4.1-amd: gfx950 MXFP8 matmul kernels and fp8-grid producers (sgl-project#41018)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Test] Route all sgl-eval benchmarks through run_sgl_eval and deprecate run_eval (sgl-project#41280)

* [Fix] Fix cpu CI fail introduced by pr sgl-project#38652 (sgl-project#41287)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [PD] Share one head-slice helper across mooncake, mori, and nixl (sgl-project#39660)

Co-authored-by: BBuf <1182563586@qq.com>

* [misc] Call all_gather_single / reduce_scatter_single to drop torch deprecation warnings (sgl-project#41284)

* [Test] Remove unit tests that only mirror implementation or never run in CI (sgl-project#41286)

* [DCP] Use logical token capacity for PD admission and load reporting (sgl-project#39731)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Khoa Pham <khoa.pham@radixark.ai>

* [CI] Harden `/rerun-test` dispatch and partitioning (sgl-project#41285)

* [diffusion] Fuse lossless Klein packed QK RMSNorm and RoPE on Hopper (sgl-project#40490)

* [DSv4.1] Move the ratio-1/2 index top-k ops into kernels/ops/attention/dsv4 (sgl-project#41291)

Co-authored-by: DarkSharpness <2040703891@qq.com>

* [diffusion] model: support Anima Base v1.0 (sgl-project#41011)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [DSA] Chunk the kpool indexer MQA logits by query rows under a free-memory budget (sgl-project#40854)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [PD] fix: cache resumed decode-radix requests from root instead of an unlocked re-match (sgl-project#41261)

* [Test] Remove more unit tests that mirror implementation or never run in CI (sgl-project#41297)

* [ROCm][Perf] aiter: page-level KV view for gfx950 fp8 page-64 asm prefill (sgl-project#36505)

* [MemCache] Unify component eviction cursors and lock receipts (sgl-project#41276)

Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>

* [diffusion] fix: fix Qwen-Image 2.1 default RGBA output (sgl-project#41150)

Co-authored-by: jacky.cheng <yichiche@amd.com>

* [diffusion] fix: copy small files into overlay materialized trees instead of linking them (sgl-project#41298)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Refactor] Restore logical kernel groups and test organization (sgl-project#41243)

* [sgl-router] Track input_ids forwarding outcomes per chat request (sgl-project#41185)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSv4.1] Move the low-ratio index top-k into dsv4/low_ratio_indexer (sgl-project#41125)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [DSA] Fix the pooled-indexer breakable prefill bridge under DP attention (sgl-project#41311)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Score API] Setwise scoring: CausalLM support (batched + --enable-mis) (sgl-project#41188)

* [Perf] Mamba2 selective_state_update up to 2x faster on B200 via 8x1 launch config for dstate 128 (+7.5% Nemotron-3-Super serving) (sgl-project#41223)

Co-authored-by: hexu.zhao <zhaohexu2001@gmail.com>

* [DeepSeek V4.1] Add DeepSelect JIT kernel. (sgl-project#40556)

Co-authored-by: DarkSharpness <2040703891@qq.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* [Refactor] Choose prepare_attn / prepare_mlp steps and fused kernels at construction (sgl-project#41252)

* [Refactor] Drive an FFN exit's flags and its completion from one selection (sgl-project#41253)

* [Refactor] Declare at construction the layers whose FFN completes its own reduction (sgl-project#41254)

* [Refactor] Run the LayerNorm SP region's boundary steps in the communicator itself (sgl-project#41255)

* [Refactor] Pick the two-batch-overlap split's layout moves once and remove execute (sgl-project#41256)

* [Refactor] Choose a dense layer's boundaries under attention DP from both sides' declarations (sgl-project#41257)

* [CI] Add __main__ entry to test_deep_select.py (sgl-project#41341)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [sgl-router] Book the input_ids forwarding outcome only for built bodies (sgl-project#41342)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [CI] Move DeepSelect into the attention kernel group to fix the namespace test (sgl-project#41349)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Pin triton_kernels num_warps for MXFP4 MoE below Hopper (6x gpt-oss decode on RTX 4090) (sgl-project#41292)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* [CI] Merge the Kimi-Linear PD DCP4 nightly tests and drop exact-token parity (sgl-project#41321)

* [AMD] Fix jit broken on rocm env (sgl-project#41356)

* Make sliding-window caching and speculative batch padding extensible (sgl-project#41325)

Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>
Co-authored-by: jasonjk-park <jasonjk@fb.com>

* [MemCache] Fix LMCache component cursors and per-cache backend selection (sgl-project#41328)

Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>

* [AMD] Honor an explicit triton moe_runner_backend for mxfp8 on ROCm (sgl-project#41377)

* dsv4.1-amd: KV cache layouts, FP4 indexer, compressor and router kernels (sgl-project#41019)

Co-authored-by: x <x>

* [sgl-router] Take SGLang's render defaults: --default-chat-template-kwargs and thinking/effort envs (sgl-project#41221)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [mem_cache] Never free the protected prefix on request release (sgl-project#41312)

* [DSV4.1][HiCache] fix: wait for the layer transfer before reading low-ratio index-K (sgl-project#41345)

* [Diffusion] Preserve per-sample rollout trajectories across multi-output merge (sgl-project#34416)

Co-authored-by: aimicahchen <aimicahchen@tencent.com>

* [kv-shard 3/4] Enable Control Plane B (sgl-project#39964)

Co-authored-by: Zhangheng <hzh0425@apache.org>

* [qwen 3.8 next] Fuse small CUDA graph input buffer copies (sgl-project#41166)

* [KDA+Kimi K3] Speed up SANA-Video residual gate add on H200 (sgl-project#41305)

Co-authored-by: kernel-design-agents <334018530+kernel-design-agents@users.noreply.github.com>

* [mem_cache] Replace `cache_finished_req` with `insert_req`; `release_kv_cache` frees and unpins (sgl-project#41281)

* [diffusion] feat: support in-place lora merge/unmerge under layerwise offload (sgl-project#36192)

* [diffusion] feat: minimax-h3 spectrum skip-step + fused RMSNorm/AdaLN (sgl-project#35684)

* [diffusion] feat: add MiniMax-H3 to ComfyUI integrated mode (sgl-project#35990)

* [Diffusion] Apply latent-ids and packing to caller-provided initial latents (sgl-project#34418)

Co-authored-by: aimicahchen <aimicahchen@tencent.com>
Co-authored-by: WenhaoZhang <42087078+niehen6174@users.noreply.github.com>

* [diffusion] fix: lora-wrapped linears crash qwen-image and minimax-h3 inference (sgl-project#41272)

Signed-off-by: rockdu <kangrdu@gmail.com>

* [diffusion] fix: run an all-valid attention mask on the backend's unmasked kernel (sgl-project#41309)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [VLM] Introduce FA4 into ViT for SM100/SM103 (sgl-project#41344)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>

* [bench] Take each request's prompt length from the server (sgl-project#39889)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [Diffusion] Reuse bit-exact packed SwiGLU for Ming-Image (sgl-project#41266)

* Add MiniMax arch fallback to auto parser resolution (sgl-project#40930)

* [HiCache] Add the page-unified KV load-back JIT kernel  (sgl-project#39726)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: huangtingwei <141888744+huangtingwei9988@users.noreply.github.com>
Co-authored-by: Zhangheng <hzh0425@apache.org>

* [AMD] Update v4 cookbook for megamoe, fp8 kv attn, BCG (sgl-project#41458)

* [PD] Fan drain abort ACKs out to every decode peer of the room (sgl-project#41402)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Spec] Add LiLiCorr: a candidate-lattice reranker for DFlash drafts (sgl-project#37462)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>
Co-authored-by: kpham-sgl <khoa.pham@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* Port chat_parsing core (sgl-project#40477)

Co-authored-by: Yoni Gozlan <yonigozlan@users.noreply.github.com>

* [Refactor] Choose the boundaries of plain-TP dense layers and MoE layers from declarations (sgl-project#41417)

* [Refactor] Give the fused prepare_mlp kernels an explicit contract (sgl-project#41418)

* [Refactor] Choose the LayerNorm SP region's and input-scattered batches' steps from declarations (sgl-project#41419)

* [Refactor] Run every batch of a layer from one BoundarySteps (sgl-project#41420)

* [Refactor] Choose a GQA prefill CP extend's steps from declarations (sgl-project#41421)

* [Fix] Keep one copy of CP-replicated rows in the DP gather (sgl-project#41422)

* [Fix] Gather a dense FFN's input across attention DP and CP in one DP sum (sgl-project#41423)

* [Refactor] Choose fully-DP dense and DSA / MLA prefill CP layers' steps from declarations (sgl-project#41424)

* [Refactor] Run MHC layers on the shared boundary steps with MHC's residual operations (sgl-project#41425)

* [Refactor] Run two-batch-overlap layers on the declared boundaries (sgl-project#41426)

* [Refactor] Let the MoE declare whether its skipped reduction is one TP all-reduce (sgl-project#41427)

* [Refactor] Publish the LoRA token layout from the batch's FFN input rows (sgl-project#41428)

* [Refactor] Build each decoder boundary from the declarations of its two sides (sgl-project#41429)

* [Refactor] Nemotron-H: build each layer's boundaries from its stage and the previous one (sgl-project#41430)

* [Refactor] Move CuTe DSL-fused layers onto the declared boundaries and FFN-exit kernel entries (sgl-project#41431)

* [Fix] Run MoE layers under attention DP and GQA prefill CP on the declared DP × CP gather (sgl-project#41432)

* [Fix] Falcon-H1: count the Mamba mixer's output once under tensor parallelism (sgl-project#41433)

* [Refactor] Falcon-H1: complete the FFN's sum through ffn_exit (sgl-project#41434)

* [Refactor] Choose MoE layers' boundaries from declarations when moe_dp_size equals attn_cp_size (sgl-project#41435)

* [Fix] LongCat-Flash under attention DP: branch and merge the dense FFNs through the communicators (sgl-project#41436)

* [Refactor] Step-3.5: complete the dense MLP's sum through ffn_exit (sgl-project#41437)

* [Refactor] Choose every layer's boundaries from declarations and remove the scatter-mode selection (sgl-project#41438)

* [Refactor] Split the layer communicator into a package (move only) (sgl-project#41439)

* [Refactor] Declare each stage's residual read and update, and give each stage its own entry (sgl-project#41440)

* [Refactor] Build the boundary into any stage with one construction (sgl-project#41441)

* [Refactor] Give a layer its CuTe DSL kernels at construction instead of a subclass (sgl-project#41442)

* [Refactor] Replace LayerScatterModes with LayerFacts and remove ScatterMode (sgl-project#41443)

* [XPU] Disable test_ngram_corpus on XPU and detect XPU tests dynamically in CI filter (sgl-project#41075)

* [Fix][NPU] Fix performance degradation caused by serial execution of two-stage ACL op calls on graph (sgl-project#40814)

* [diffusion] feat: support multiple task types for pipelines (sgl-project#38762)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [CI] fix CI regression on xeon (sgl-project#41002)

* [CI] Real-model Kimi-Linear PD parity at page, DCP virtual-page, chunk and cached-prefix boundaries (sgl-project#41378)

* [AMD] Register Triton data movement tests in PR CI (sgl-project#41137)

* [AMD] Add GLM-5.3-Flash MI35x nightly test (sgl-project#36903)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: quitenode <quitenode@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>

* [AMD] [Docker] Remove unused LLVM 18 setup from ROCm TileLang build (sgl-project#41387)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: quitenode <quitenode@users.noreply.github.com>

* [Intel GPU] Xpu/weekly simple model enablement 2026 09 21 (sgl-project#40664)

Co-authored-by: Amrutha M <amrutha.m@intel.com>
Co-authored-by: charlesxu91 <charlesxu.mi@gmail.com>
Co-authored-by: KMS07 <meher.sai.kotthagattu@intel.com>
Co-authored-by: Avi Fenesh <aviarchi1994@gmail.com>
Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>

* [Bugfix] fix(hicache): wait for decode offload before retraction (sgl-project#30899)

Co-authored-by: agent <agent@local>
Co-authored-by: Kevin Flansburg <6134007+kflansburg@users.noreply.github.com>
Co-authored-by: Jimmy Shong <69131491+Jiminator@users.noreply.github.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* Rust server unify datapath for mm and generate requests (sgl-project#39679)

* feat(npu): Support returning indexer top-k results (sgl-project#39060)

* Fix chat template cache key order (sgl-project#41517)

* docs: add prefill context parallelism guide and design draft (sgl-project#39354)

* [XPU] Bump sglang-kernel-xpu wheel to v0.3.0 (sgl-project#41220)

Co-authored-by: Pramod Kumar <144990617+pramodkumar-habanalabs@users.noreply.github.com>

* [Kimi-K3] Merge fused_qkvg_proj into the loader-seeded packed_modules_mapping (sgl-project#41164)

* [Router] Give the cache-aware tree a snapshot surface (1/13) (sgl-project#40687)

Co-authored-by: Kangyan Zhou <kangyan.zhou@radixark.ai>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* Let predicate-registered linear-attention models carry the mamba radix-cache leaves (sgl-project#41165)

* [diffusion] optimization: populate cpu weight stores before host registration to speedup layerwise-offload initialization (sgl-project#40439)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* perf(multimodal): offload CPU feature hashing with bounded admission (sgl-project#39539)

* [AMD][DSV4] moe: enable shared-expert fusion on the grouped-topk path (megamoe) (sgl-project#40943)

* [sgl-router] Scope input_ids forwarding by renderer: all text chats for DeepSeek-V4 (sgl-project#41226)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Router] Serve the cache-aware tree at /internal/kv_snapshot (2/13) (sgl-project#40688)

Co-authored-by: Kangyan Zhou <kangyan.zhou@radixark.ai>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* [AMD] [GLM5] Fuse shared expert into AITER MoE on gfx950 (sgl-project#41161)

Signed-off-by: Raiden-Makoto <Raiden-Makoto@users.noreply.github.com>
Co-authored-by: Raiden-Makoto <Raiden-Makoto@users.noreply.github.com>

* [Router] Name a replica's siblings with --kv-peer-selector (3/13) (sgl-project#40689)

Co-authored-by: Kangyan Zhou <kangyan.zhou@radixark.ai>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* [diffusion] docs: consolidate Qwen-Image 2.1 guidance in its cookbook (sgl-project#41540)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Unified Memory] fix: preserve FP8 dtype in unified MHA pool (sgl-project#38133)

* [Unified Memory] Fix Inkling conv-checkpoint track ids written to virtual slot numbers (sgl-project#41144)

* [Doc] Add kernel benchmark rule on L2 cache reuse (sgl-project#41545)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [DeepSelect] Add page-table transform to top-k and tighten the layout contract (sgl-project#41364)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [diffusion] Qwen-Image 2.1: fuse Q/K RMSNorm + RoPE + KV packing into one CUDA kernel and project Q/K/V with one packed GEMM (sgl-project#41339)

* [Fix][NPU] fix dp-attn hang when pin_mem is True on NPU (sgl-project#40446)

* [Spec] Model-agnostic last-stage draft embedding under pipeline parallelism (sgl-project#39643)

* [PD] Defer decode KV release on every transfer failure, not only decode-initiated aborts (sgl-project#41404)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [PD] Keep the sampling mask of a replayed rebootstrap token (sgl-project#41235)

* [NVIDIA] Update deepgemm, deep-ep, sgl-kernel in CUDA 13.4 image, use cuda base image (sgl-project#40987)

* [Docs][AMD] Update GLM-5.2 MI355X daily image (sgl-project#41597)

* dsv4.1-amd: gfx950 sparse decode attention and sorted top-k (sgl-project#41020)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* dsv4.1-amd: fused mHC boundary and all-reduce + mHC post kernels (sgl-project#41021)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Kevin Mi <kevin.mi@radixark.ai>

* [Model Loader] Stop checkpoint prefetch after iterator completion (sgl-project#41588)

Co-authored-by: Hrithvik Alex <hrithvik@baseten.co>

* [mem cache] refactor: remove the index-K continuous getters orphaned by the CP v1 removal (sgl-project#41469)

* [PD] Keep EAGLE DP graph and token metadata consistent (sgl-project#32196)

Co-authored-by: weireweire <20922698+weireweire@users.noreply.github.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>
Co-authored-by: Khoa Pham <khoa.pham@radixark.ai>

* [Docs] Add GigaChat 3.5 and GigaChat 3.5 Reasoning cookbook pages (sgl-project#41118)

Co-authored-by: Stanislav Petrov <stapetrov@sberbank.ru>

* [Model] Add IQuest Q1 support and MTP draft (sgl-project#41590)

Co-authored-by: zelong huang <yzhu@ubiquant.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>
Co-authored-by: zelong518 <zelonghuang05@gmail.com>
Co-authored-by: chenwenxiaolive <cocoshirolive@gmail.com>

* [diffusion] model: support flux 3 action robot policies (sgl-project#41066)

* [Radix Cache] Sync Rust TreeCore and make it the default (sgl-project#39627)

Co-authored-by: Ke Bao <ispobaoke@gmail.com>
Co-authored-by: Zhangheng <hzh0425@apache.org>
Co-authored-by: alphabetc1 <alphabetc1@users.noreply.github.com>

* [npu]support NPU 910C L2 memcache offload (sgl-project#41527)

* [Test] Fail fast when PD test RDMA devices are not openable by ibverbs (sgl-project#41600)

* Remove GLM-4.1V-9B-Thinking from encoder DP MMMU test (sgl-project#41608)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Refactor] Group communicator fusion and CP adapters (sgl-project#41547)

* [Refactor] Centralize decoder output access (sgl-project#41548)

* [Refactor] Carry residual state across stage boundaries (sgl-project#41549)

* [Refactor] Capture auxiliary states at residual reads (sgl-project#41550)

* [Refactor] Select reduction fusion at the consumer (sgl-project#41551)

* [Refactor] Construct independent decoder stage boundaries (sgl-project#41552)

* [Refactor] Migrate specialized decoder and overlap boundaries (sgl-project#41553)

* [Refactor] Retire the layer facade and simplify boundary internals (sgl-project#41554)

* [Refactor] Rename the module to layer_boundary (sgl-project#41555)

* [Refactor] Group layer boundary unit tests (sgl-project#41556)

* [Refactor] Document layer boundary contracts and integration (sgl-project#41557)

* [Rust] Extract a transport-neutral frontend core (sgl-project#39385)

Signed-off-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>

* [PD] Give FakeKVReceiver ensure_abort_notified (sgl-project#41618)

* [XPU] Support compressed-tensors W4A16 by reusing the torch int4pack path (sgl-project#40828)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Singh <rohitsi2@iil-gnrap01.iind.intel.com>
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* [Intel][XPU]Enable chunked prefill scnearios for XPU with UT (sgl-project#33804)

Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>

* [SM120] Add optional FlashInfer PCIe-IPC all-reduce for switch-free hosts (sgl-project#34528)

* [diffusion] feat: support bounded exact conditioning cache across native models (sgl-project#40470)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Fix] Add name mapping in load_weights of nvidia/LocateAnything-3B (sgl-project#41059)

* [Cherry-pick to release/v0.5.21] [Fix] Restore deferred layer dumps and pin SentencePiece for InternVL (sgl-project#41777) (sgl-project#41788)

Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com>

* [Cherry-pick to release/v0.5.21] [Test] Demote PD test RDMA openability check to a warning (sgl-project#41681) (sgl-project#41802)

Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* feat(plugin-seam): forward-port the turbo-attn seam onto upstream v0.5.21

The whole carry of arbicity/sglang-turbo main @71bcc9df9b over upstream
v0.5.18, squashed and replayed onto upstream v0.5.21 (e00930c, the
commit lmsysorg/sglang:v0.5.21 is built from) as a 3-way merge. Folds in
the post-port commits #9 (hybrid sliding-window through the kv-cache
plugin), #10 (Gemma 4 on a plugin backend) and #11 (draft backend factory
reads attention_backends()).

Upstream's structure wins and the seam is re-applied on it:
- server_args.py is now a thin record over arg_groups/: the
  --kv-cache-dtype choices are hoisted into arg_groups/choices.py as
  KV_CACHE_DTYPE_CHOICES + add_kv_cache_dtype_choices (re-exported from
  server_args), and the gpt-oss / Gemma 4 backend whitelists that accept a
  plugin backend move to arg_groups/model_hook.py.
- ServerArgs._handle_plugin_kv_cache_pairing is dropped: v0.5.21's
  resolution hooks (arg_groups/resolution_hooks.py) are the official slot,
  and turbo-attn's plugin now pairs the flags there.
- Plugin dtype reads go through the resolved model bag (get_model()), not
  the raw ServerArgs record, which v0.5.21 leaves as operator input.
- HybridSWAPoolConfigurator: the plugin prices the full and SWA layers it
  holds and stands in as the per-layer cost, so upstream's new draft-SWA
  and unified-pool formulas apply unchanged; layer ids come from
  kvc.layer_info, as upstream's own SWA pool takes them.
- Qwen3.5 NEXTN embed on meta only on a single pipeline stage: from v0.5.21
  a PP draft may load its own embedding (pp_draft_embedding).

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

---------

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sam123456598 added a commit to vessl-ai/sglang that referenced this pull request Oct 8, 2026
* [feature] add per-item candidate token scoring and calibration (sgl-project#40826)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Diffusion] Fuse LongCat GELU+cat and support Edit-Turbo BCG (sgl-project#40384)

* [Diffusion] Fuse lossless Wan VAE post-ops for LongLive 2 I2V (sgl-project#40405)

* Fix TBO child batch missing dp_spec_prefill_coordination_applied (sgl-project#41096)

* [AMD] Tune Triton sparse MLA on gfx950 and make split-K workspaces graph-safe (sgl-project#39059)

* [Diffusion] Fuse lossless LingBot World FP32 normalization (sgl-project#40425)

* [AMD][DSV4] fp8 unified_kv decode: wave-aware split count past 40 tokens (sgl-project#40878)

Signed-off-by: Yanfei Wang <yanfwang@crsuse2-m2m-v2-017.us-east2-a.compute.internal>

* [AMD] Add tuned dsv4 shape (sgl-project#40996)

* [Diffusion] Enable lossless SANA-Video eager conv fusions for 12.6% lower latency (sgl-project#40388)

* [Diffusion] migrate the whole _register_configs from registry.py to the model own config file (sgl-project#40612)

* Refactor the Cute-DSL AR fusion to support DeepseekV2 archs (GLM-5.3, etc.) (sgl-project#39816)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>

* [HiCache] Make host reclamation independent of transfer order (sgl-project#40512)

* [Refactor] Retire the model-specific Kimi K3 kernel namespace (sgl-project#40922)

* [diffusion] update code owner (sgl-project#41130)

* [NPU] Update CANN version to 9.1.0 (sgl-project#40524)

* [PD] Enable deferred decode-side KV release by default (sgl-project#41023)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* [chore] surface the cookbook to users who pip install sglang (sgl-project#40866)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* fix(sampling): validate sampling_seed is an int within int64 range (sgl-project#28960)

Signed-off-by: Ting Sun <suntcrick@gmail.com>

* [HiCache] Demote SWA KV to host on write_back eviction instead of dropping it (sgl-project#40712)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [AMD] ci: move the Miles ROCm 7.2 nightly build to 7.2.4 (sgl-project#40387)

Co-authored-by: Zhiyao Jiang <jessicajiang324@gmail.com>

* [Quant] ModelOpt mixed precision: dispatch block-FP8 MoE experts and derive the block size (sgl-project#38726)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* fix: Triton 3.8 compatbility to support DSV4.1-Flash in CUDA 13.4 image (Rubin) (sgl-project#40805)

* Support unified memory decode host pools (sgl-project#39478)

Co-authored-by: yhzhuang <yhzhuang@fb.com>
Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>
Co-authored-by: Yonghao Zhuang <yhzhuang@users.noreply.github.com>
Co-authored-by: Cheng Wan <cheng.wan@radixark.ai>

* [Fix] Skip the DCP target-verify MLA kernel during FlashInfer autotune (sgl-project#41138)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [DP attention] Publish DP buffer sizes from a ForwardBatch (sgl-project#40858)

Co-authored-by: hanminglu <hanminglu@fb.com>
Co-authored-by: oss-sync bot (pranjalssh) <pranjalssh@users.noreply.github.com>

* [Test] Run the Qwen3.5 Triton DCP nightly with the radix cache enabled (sgl-project#41155)

* [AMD] GLM-5.2 MI355X MXFP4: bump image to 20260923 daily (sgl-project#41109)

* [Fix] Complete the deferred FFN all-reduce before a pipeline-parallel send (sgl-project#41079)

* [Fix] Complete the deferred FFN all-reduce before deepstack addition and aux hidden-state capture (sgl-project#41080)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Refactor] Pass each layer stack's output through a communicator exit (sgl-project#41081)

* [Refactor] Share the MoE output all-reduce between models (sgl-project#41097)

* [Fix] Step-3.5: stop dense layers from summing their output twice under DP attention (sgl-project#41082)

* [Fix] Broadcast requests along attention CP before attention TP (sgl-project#41083)

* [Refactor] Split prepare_attn into a reduction step and per-quant-format residual steps (sgl-project#41084)

* [AMD] Add .co for deepseek v4 fp8 decode kernel and add group decode opt (sgl-project#41120)

* [qwen 3.8 next] Fuse Qwen PLE gate and convolution preparation for target verify (sgl-project#40041)

* MiniMax-M3: MXFP8 dense-only block convert + aiter MXFP8 MoE on gfx950 (sgl-project#36574)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: mikevin920 <mikevin920@yahoo.com>
Co-authored-by: Kevin Mi <mikevin920@gmail.com>
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Co-authored-by: YC Yen-Ching Tseng <yctseng@amd.com>

* MoE: small-batch sorting path with fused mxfp8 quantisation (sgl-project#36559)

Co-authored-by: mikevin920 <mikevin920@yahoo.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Kevin Mi <mikevin920@gmail.com>
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Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>

* [DSV4] Fix TRTLLM uniform FP8 KV memory budgeting (sgl-project#41090)

* [Fix] Patch set_dp_buffer_len_from_batch in DP spec prefill coordination test (sgl-project#41162)

* [Docs] Enable Qwen3.8 Flash Next NVIDIA NVFP4 on B200/B300/GB300 (sgl-project#41046)

* [DSV4] Size compressed pools from one per-ratio table in DSV4PoolConfigurator (sgl-project#41049)

* [Bugfix] Align DeepSeek-V4.1 reasoning effort budgets (sgl-project#39929)

Co-authored-by: fengtinglei <fengtinglei@bytedance.com>
Co-authored-by: Liangsheng Yin <lsyincs@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>

* Fix mixed chunk prefill with DP speculative coordination (sgl-project#41179)

* Add 8-node AllReduce/AllGather and MNVLS algorithm support to MSCCL++ (sgl-project#37442)

Co-authored-by: Caio Rocha <caiorocha@microsft.com>

* [HiCache] Batch buffer-only KV backups within each flush (sgl-project#40960)

Co-authored-by: oss-sync bot (pranjalssh) <pranjalssh@users.noreply.github.com>
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* [PD] Add a `none` decode retraction backup and subclass seams in the PD queues (sgl-project#41103)

Co-authored-by: metamergebot <metamergebot@users.noreply.github.com>
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* [Score API] Setwise Scoring Support (sgl-project#38965)

* [DSV4] Account for FlashMLA physical KV page padding in memory budgets (sgl-project#41091)

Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [mem_cache] Drop `is_insert` from `cache_finished_req`; release rows from `release_kv_cache` (sgl-project#40988)

* [AMD] Restore non-DCP Mamba checkpoint donation to fix agent-mode cache hit at high conc with HiCache (sgl-project#40907)

* [diffusion] feat: add opt-in SRT prompt enhancement to image and video APIs (sgl-project#41095)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* Support XQA backend for SpecDec verify (sgl-project#32269)

* [PD] Honor gracefully_exit in disaggregation event loops and keep non-zero-rank launchers alive on SIGTERM (sgl-project#40793)

Co-authored-by: metamergebot <324680979+metamergebot@users.noreply.github.com>
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* [Perf] Lazy-load built-in model definitions and nixl_ep at startup (sgl-project#41061)

Co-authored-by: metamergebot <metamergebot@users.noreply.github.com>
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* [CI] Move GLM-5.2 layer-split test to extra-b-test-8-gpu-b300 (sgl-project#41207)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Fix] Keep the target's DP sync slot in draft scopes (sgl-project#41062)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* [feat] add a system one compatible /v1/systemone route (sgl-project#41208)

* fix(openai): reject request-supplied chat_template by default (sgl-project#28135)

Signed-off-by: Ting Sun <suntcrick@gmail.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [AMD] Fix int32 offset overflow in Triton DSv4 KV store kernels (sgl-project#41159)

* [DeepEP v2] Let a model package supply its per-rank prefill dispatch bound (sgl-project#41201)

Co-authored-by: Xingyu Liu <38244988+charlotte12l@users.noreply.github.com>

* [diffusion] model: support Ming-Image Design and Design-Layer (sgl-project#41067)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [HiCache] Give trailing sidecar storage transfers a contiguous prefix_keys chain (sgl-project#40456)

* [HiCache] fix: Drain pending backups before internal Mamba write-back (sgl-project#41092)

* [AMD] Integrate Aiter MegaMoEv2 for DeepSeek-V4 (sgl-project#35619)

* [Fix] Complete the all-reduce when the flashinfer fused norm declines a batch (sgl-project#41193)

* [Fix] Plan NextN / MTP draft layers as one-layer models and fix the Bailing V2 NextN draft (sgl-project#41194)

* [Fix] Stop counting a deferred FFN sum more than once: replicated TP1 shared expert, dense reduce_scatterv (sgl-project#41195)

* [Refactor] Carry a deferred FFN all-reduce as UnreducedOutput and complete it in the next layer without the fused kernel (sgl-project#41196)

* [Refactor] Leave the FFN reduction to the next layer under attention DP (sgl-project#41197)

* [Refactor] Move Step-3.5, GLM5-Next, Dots3, MiniMax-M3 and Qwen3.5 onto ffn_exit (sgl-project#41198)

* [Refactor] Build prepare_mlp and the layout moves from named steps (sgl-project#41191)

* [Refactor] Take a layer's last-layer fact from its scatter-mode plan (sgl-project#41199)

* [Refactor] Decide an FFN exit's completion once and declare the group it owes (sgl-project#41200)

* [XPU] Disable test_ngram_corpus on XPU and extend XPU CI path filter (sgl-project#41224)

* [Diffusion] Fix AttributeError in grouped forward_batch by installing the residency manager (sgl-project#34417)

Co-authored-by: mickqian <mickqian@users.noreply.github.com>

* [diffusion] Enable lossless Cosmos3 Super T2I QK fusion on Hopper TP2 (sgl-project#40486)

* Revert "[NPU] Fuse FIA KV-cache K/V writes into one npu_scatter_pa_kv_cache call" (sgl-project#41132)

* [ROCm][Bugfix] Keep quantization for mixed Quark Qwen3.5 MTP checkpoints (sgl-project#39064)

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: jacky.cheng <yichiche@amd.com>

* fix(multimodal): return 400 for corrupt image inputs (sgl-project#28131)

Signed-off-by: Ting Sun <suntcrick@gmail.com>
Co-authored-by: Justin Tong <justintong0323@users.noreply.github.com>
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* [unified-memory] Honor move gates in float relocation and size auto HiCache from host capacity (sgl-project#41248)

Co-authored-by: Yonghao Zhuang <yhzhuang@meta.com>

* Fix multimodal feature offload races (sgl-project#40621)

Co-authored-by: cctry <cctry@fb.com>
Co-authored-by: Yongji Wu <yongji@meta.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* [Sampling] Stream sampling masks as per-request arrays (sgl-project#40986)

* [Rust frontend] Decode input_ids without untagged buffering (sgl-project#41246)

Co-authored-by: Jialin Ouyang <Jialin.Ouyang@gmail.com>
Co-authored-by: Lucia Fang <116399278+luccafong@users.noreply.github.com>

* [Test] Remove dead eval modules and point GSM8K/MMLU docs to sgl-eval (sgl-project#41215)

* [Test] Add in-process sgl-eval adapter and move validated GSM8K tests to it (sgl-project#41216)

* [LoRA] Size dense row/column-parallel LoRA buffers from the base linear's real shard (sgl-project#39379)

* [KVCache] Support lmcache unified radix cache (sgl-project#38652)

Signed-off-by: chunxiaozheng <1179548172@qq.com>
Co-authored-by: Yuwei An <ayw.sirius19@gmail.com>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [sglang][lora] Support DP attention in LoRA backends (sgl-project#36389)

Co-authored-by: Ethan (Yusheng) Su <yushengsu@radixark.ai>

* dsv4.1-amd: gfx950 MXFP8 matmul kernels and fp8-grid producers (sgl-project#41018)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Test] Route all sgl-eval benchmarks through run_sgl_eval and deprecate run_eval (sgl-project#41280)

* [Fix] Fix cpu CI fail introduced by pr sgl-project#38652 (sgl-project#41287)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [PD] Share one head-slice helper across mooncake, mori, and nixl (sgl-project#39660)

Co-authored-by: BBuf <1182563586@qq.com>

* [misc] Call all_gather_single / reduce_scatter_single to drop torch deprecation warnings (sgl-project#41284)

* [Test] Remove unit tests that only mirror implementation or never run in CI (sgl-project#41286)

* [DCP] Use logical token capacity for PD admission and load reporting (sgl-project#39731)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Khoa Pham <khoa.pham@radixark.ai>

* [CI] Harden `/rerun-test` dispatch and partitioning (sgl-project#41285)

* [diffusion] Fuse lossless Klein packed QK RMSNorm and RoPE on Hopper (sgl-project#40490)

* [DSv4.1] Move the ratio-1/2 index top-k ops into kernels/ops/attention/dsv4 (sgl-project#41291)

Co-authored-by: DarkSharpness <2040703891@qq.com>

* [diffusion] model: support Anima Base v1.0 (sgl-project#41011)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [DSA] Chunk the kpool indexer MQA logits by query rows under a free-memory budget (sgl-project#40854)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [PD] fix: cache resumed decode-radix requests from root instead of an unlocked re-match (sgl-project#41261)

* [Test] Remove more unit tests that mirror implementation or never run in CI (sgl-project#41297)

* [ROCm][Perf] aiter: page-level KV view for gfx950 fp8 page-64 asm prefill (sgl-project#36505)

* [MemCache] Unify component eviction cursors and lock receipts (sgl-project#41276)

Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>

* [diffusion] fix: fix Qwen-Image 2.1 default RGBA output (sgl-project#41150)

Co-authored-by: jacky.cheng <yichiche@amd.com>

* [diffusion] fix: copy small files into overlay materialized trees instead of linking them (sgl-project#41298)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Refactor] Restore logical kernel groups and test organization (sgl-project#41243)

* [sgl-router] Track input_ids forwarding outcomes per chat request (sgl-project#41185)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSv4.1] Move the low-ratio index top-k into dsv4/low_ratio_indexer (sgl-project#41125)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [DSA] Fix the pooled-indexer breakable prefill bridge under DP attention (sgl-project#41311)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Score API] Setwise scoring: CausalLM support (batched + --enable-mis) (sgl-project#41188)

* [Perf] Mamba2 selective_state_update up to 2x faster on B200 via 8x1 launch config for dstate 128 (+7.5% Nemotron-3-Super serving) (sgl-project#41223)

Co-authored-by: hexu.zhao <zhaohexu2001@gmail.com>

* [DeepSeek V4.1] Add DeepSelect JIT kernel. (sgl-project#40556)

Co-authored-by: DarkSharpness <2040703891@qq.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* [Refactor] Choose prepare_attn / prepare_mlp steps and fused kernels at construction (sgl-project#41252)

* [Refactor] Drive an FFN exit's flags and its completion from one selection (sgl-project#41253)

* [Refactor] Declare at construction the layers whose FFN completes its own reduction (sgl-project#41254)

* [Refactor] Run the LayerNorm SP region's boundary steps in the communicator itself (sgl-project#41255)

* [Refactor] Pick the two-batch-overlap split's layout moves once and remove execute (sgl-project#41256)

* [Refactor] Choose a dense layer's boundaries under attention DP from both sides' declarations (sgl-project#41257)

* [CI] Add __main__ entry to test_deep_select.py (sgl-project#41341)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* [sgl-router] Book the input_ids forwarding outcome only for built bodies (sgl-project#41342)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [CI] Move DeepSelect into the attention kernel group to fix the namespace test (sgl-project#41349)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Pin triton_kernels num_warps for MXFP4 MoE below Hopper (6x gpt-oss decode on RTX 4090) (sgl-project#41292)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* [CI] Merge the Kimi-Linear PD DCP4 nightly tests and drop exact-token parity (sgl-project#41321)

* [AMD] Fix jit broken on rocm env (sgl-project#41356)

* Make sliding-window caching and speculative batch padding extensible (sgl-project#41325)

Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>
Co-authored-by: jasonjk-park <jasonjk@fb.com>

* [MemCache] Fix LMCache component cursors and per-cache backend selection (sgl-project#41328)

Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>

* [AMD] Honor an explicit triton moe_runner_backend for mxfp8 on ROCm (sgl-project#41377)

* dsv4.1-amd: KV cache layouts, FP4 indexer, compressor and router kernels (sgl-project#41019)

Co-authored-by: x <x>

* [sgl-router] Take SGLang's render defaults: --default-chat-template-kwargs and thinking/effort envs (sgl-project#41221)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [mem_cache] Never free the protected prefix on request release (sgl-project#41312)

* [DSV4.1][HiCache] fix: wait for the layer transfer before reading low-ratio index-K (sgl-project#41345)

* [Diffusion] Preserve per-sample rollout trajectories across multi-output merge (sgl-project#34416)

Co-authored-by: aimicahchen <aimicahchen@tencent.com>

* [kv-shard 3/4] Enable Control Plane B (sgl-project#39964)

Co-authored-by: Zhangheng <hzh0425@apache.org>

* [qwen 3.8 next] Fuse small CUDA graph input buffer copies (sgl-project#41166)

* [KDA+Kimi K3] Speed up SANA-Video residual gate add on H200 (sgl-project#41305)

Co-authored-by: kernel-design-agents <334018530+kernel-design-agents@users.noreply.github.com>

* [mem_cache] Replace `cache_finished_req` with `insert_req`; `release_kv_cache` frees and unpins (sgl-project#41281)

* [diffusion] feat: support in-place lora merge/unmerge under layerwise offload (sgl-project#36192)

* [diffusion] feat: minimax-h3 spectrum skip-step + fused RMSNorm/AdaLN (sgl-project#35684)

* [diffusion] feat: add MiniMax-H3 to ComfyUI integrated mode (sgl-project#35990)

* [Diffusion] Apply latent-ids and packing to caller-provided initial latents (sgl-project#34418)

Co-authored-by: aimicahchen <aimicahchen@tencent.com>
Co-authored-by: WenhaoZhang <42087078+niehen6174@users.noreply.github.com>

* [diffusion] fix: lora-wrapped linears crash qwen-image and minimax-h3 inference (sgl-project#41272)

Signed-off-by: rockdu <kangrdu@gmail.com>

* [diffusion] fix: run an all-valid attention mask on the backend's unmasked kernel (sgl-project#41309)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [VLM] Introduce FA4 into ViT for SM100/SM103 (sgl-project#41344)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>

* [bench] Take each request's prompt length from the server (sgl-project#39889)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [Diffusion] Reuse bit-exact packed SwiGLU for Ming-Image (sgl-project#41266)

* Add MiniMax arch fallback to auto parser resolution (sgl-project#40930)

* [HiCache] Add the page-unified KV load-back JIT kernel  (sgl-project#39726)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: huangtingwei <141888744+huangtingwei9988@users.noreply.github.com>
Co-authored-by: Zhangheng <hzh0425@apache.org>

* [AMD] Update v4 cookbook for megamoe, fp8 kv attn, BCG (sgl-project#41458)

* [PD] Fan drain abort ACKs out to every decode peer of the room (sgl-project#41402)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Spec] Add LiLiCorr: a candidate-lattice reranker for DFlash drafts (sgl-project#37462)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>
Co-authored-by: kpham-sgl <khoa.pham@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* Port chat_parsing core (sgl-project#40477)

Co-authored-by: Yoni Gozlan <yonigozlan@users.noreply.github.com>

* [Refactor] Choose the boundaries of plain-TP dense layers and MoE layers from declarations (sgl-project#41417)

* [Refactor] Give the fused prepare_mlp kernels an explicit contract (sgl-project#41418)

* [Refactor] Choose the LayerNorm SP region's and input-scattered batches' steps from declarations (sgl-project#41419)

* [Refactor] Run every batch of a layer from one BoundarySteps (sgl-project#41420)

* [Refactor] Choose a GQA prefill CP extend's steps from declarations (sgl-project#41421)

* [Fix] Keep one copy of CP-replicated rows in the DP gather (sgl-project#41422)

* [Fix] Gather a dense FFN's input across attention DP and CP in one DP sum (sgl-project#41423)

* [Refactor] Choose fully-DP dense and DSA / MLA prefill CP layers' steps from declarations (sgl-project#41424)

* [Refactor] Run MHC layers on the shared boundary steps with MHC's residual operations (sgl-project#41425)

* [Refactor] Run two-batch-overlap layers on the declared boundaries (sgl-project#41426)

* [Refactor] Let the MoE declare whether its skipped reduction is one TP all-reduce (sgl-project#41427)

* [Refactor] Publish the LoRA token layout from the batch's FFN input rows (sgl-project#41428)

* [Refactor] Build each decoder boundary from the declarations of its two sides (sgl-project#41429)

* [Refactor] Nemotron-H: build each layer's boundaries from its stage and the previous one (sgl-project#41430)

* [Refactor] Move CuTe DSL-fused layers onto the declared boundaries and FFN-exit kernel entries (sgl-project#41431)

* [Fix] Run MoE layers under attention DP and GQA prefill CP on the declared DP × CP gather (sgl-project#41432)

* [Fix] Falcon-H1: count the Mamba mixer's output once under tensor parallelism (sgl-project#41433)

* [Refactor] Falcon-H1: complete the FFN's sum through ffn_exit (sgl-project#41434)

* [Refactor] Choose MoE layers' boundaries from declarations when moe_dp_size equals attn_cp_size (sgl-project#41435)

* [Fix] LongCat-Flash under attention DP: branch and merge the dense FFNs through the communicators (sgl-project#41436)

* [Refactor] Step-3.5: complete the dense MLP's sum through ffn_exit (sgl-project#41437)

* [Refactor] Choose every layer's boundaries from declarations and remove the scatter-mode selection (sgl-project#41438)

* [Refactor] Split the layer communicator into a package (move only) (sgl-project#41439)

* [Refactor] Declare each stage's residual read and update, and give each stage its own entry (sgl-project#41440)

* [Refactor] Build the boundary into any stage with one construction (sgl-project#41441)

* [Refactor] Give a layer its CuTe DSL kernels at construction instead of a subclass (sgl-project#41442)

* [Refactor] Replace LayerScatterModes with LayerFacts and remove ScatterMode (sgl-project#41443)

* [XPU] Disable test_ngram_corpus on XPU and detect XPU tests dynamically in CI filter (sgl-project#41075)

* [Fix][NPU] Fix performance degradation caused by serial execution of two-stage ACL op calls on graph (sgl-project#40814)

* [diffusion] feat: support multiple task types for pipelines (sgl-project#38762)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [CI] fix CI regression on xeon (sgl-project#41002)

* [CI] Real-model Kimi-Linear PD parity at page, DCP virtual-page, chunk and cached-prefix boundaries (sgl-project#41378)

* [AMD] Register Triton data movement tests in PR CI (sgl-project#41137)

* [AMD] Add GLM-5.3-Flash MI35x nightly test (sgl-project#36903)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: quitenode <quitenode@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>

* [AMD] [Docker] Remove unused LLVM 18 setup from ROCm TileLang build (sgl-project#41387)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: quitenode <quitenode@users.noreply.github.com>

* [Intel GPU] Xpu/weekly simple model enablement 2026 09 21 (sgl-project#40664)

Co-authored-by: Amrutha M <amrutha.m@intel.com>
Co-authored-by: charlesxu91 <charlesxu.mi@gmail.com>
Co-authored-by: KMS07 <meher.sai.kotthagattu@intel.com>
Co-authored-by: Avi Fenesh <aviarchi1994@gmail.com>
Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>

* [Bugfix] fix(hicache): wait for decode offload before retraction (sgl-project#30899)

Co-authored-by: agent <agent@local>
Co-authored-by: Kevin Flansburg <6134007+kflansburg@users.noreply.github.com>
Co-authored-by: Jimmy Shong <69131491+Jiminator@users.noreply.github.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* Rust server unify datapath for mm and generate requests (sgl-project#39679)

* feat(npu): Support returning indexer top-k results (sgl-project#39060)

* Fix chat template cache key order (sgl-project#41517)

* docs: add prefill context parallelism guide and design draft (sgl-project#39354)

* [XPU] Bump sglang-kernel-xpu wheel to v0.3.0 (sgl-project#41220)

Co-authored-by: Pramod Kumar <144990617+pramodkumar-habanalabs@users.noreply.github.com>

* [Kimi-K3] Merge fused_qkvg_proj into the loader-seeded packed_modules_mapping (sgl-project#41164)

* [Router] Give the cache-aware tree a snapshot surface (1/13) (sgl-project#40687)

Co-authored-by: Kangyan Zhou <kangyan.zhou@radixark.ai>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* Let predicate-registered linear-attention models carry the mamba radix-cache leaves (sgl-project#41165)

* [diffusion] optimization: populate cpu weight stores before host registration to speedup layerwise-offload initialization (sgl-project#40439)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* perf(multimodal): offload CPU feature hashing with bounded admission (sgl-project#39539)

* [AMD][DSV4] moe: enable shared-expert fusion on the grouped-topk path (megamoe) (sgl-project#40943)

* [sgl-router] Scope input_ids forwarding by renderer: all text chats for DeepSeek-V4 (sgl-project#41226)

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