Fix duplicate HunyuanVL image boundary tokens - #49691
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Match the full image start/token/end placeholder during prompt replacement and align dummy inputs with the same format.
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### What this PR does / why we need it? #### Upgrade baseline - Update the verified vLLM main anchor from [`2e09247c2d7b6b97d13af6e71a85bf8d1271deb6`](vllm-project/vllm@2e09247) to [`58d3918e3ea0a544ffedadad2ba84559e9c51d8f`](vllm-project/vllm@58d3918). The full upstream range is available in this [comparison](vllm-project/vllm@2e09247...58d3918). - Preserve the vLLM `0.26.0` compatibility lane while adapting the main lane to the new upstream contracts. Version gates use `vllm_version_is("0.26.0")` and are limited to real contract differences. - The changes are organized in the same order as the changed files in this PR. Each item identifies the upstream change, the downstream adaptation, and why the adaptation is required. #### Changes by file ##### 1. `.github/vllm-main-verified.commit` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update anchor to `58d3918e` | Upgrade window [0351e9aa...58d3918e](vllm-project/vllm@0351e9a...58d3918). | Set anchor. | Source of truth for main2main workflow. | ##### 2. `vllm_ascend/patch/platform/patch_fused_moe.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate FusedMoE → FusedMoEFactory rename | [vllm #44941](vllm-project/vllm#44941) renamed `FusedMoE` to `FusedMoEFactory`. | On main, capture and patch `FusedMoEFactory`; on v0.26.0, also patch legacy `FusedMoE`. | Both lanes need the Ascend runner patch at the correct binding. | ##### 3. `vllm_ascend/models/deepseek_v4.py` / `vllm_ascend/models/minimax_m3/minimax_m3.py` / `vllm_ascend/ops/fused_moe/fused_moe.py` / `vllm_ascend/ops/fused_moe/routed_experts.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Import and use `FusedMoEFactory`; remove dead `FusedMoE` re-export | [vllm #44941](vllm-project/vllm#44941). | Replace `FusedMoE` with `FusedMoEFactory`. | Old symbol no longer exists on main. Remove stale `FusedMoE` re-export from `fused_moe.py` and dead reference in `routed_experts.py` comment. | ##### 4. `tests/ut/models/test_deepseek_v4_moe.py` / `tests/ut/models/minimax_m3/test_minimax_m3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update monkeypatch target to `FusedMoEFactory` | [vllm #44941](vllm-project/vllm#44941). | `"FusedMoE"` → `"FusedMoEFactory"`. | Must match the symbol imported by models. | ##### 5. `vllm_ascend/worker/model_runner_v1.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate `calculate_kv_scales` removal | [vllm #49389](vllm-project/vllm#49389) removed runtime KV-scale calculation. | Add `vllm_version_is("0.26.0")` guard. | Ascend MRV1 still supports it on v0.26.0; attribute absent on main. | | Version-gate `clear_buffer()` removal | [vllm #50721](vllm-project/vllm#50721) removed `clear_buffer()` from `RoutedExpertsCapturer`. | Wrap in `vllm_version_is("0.26.0")` guard. | On main, each routed layer overwrites current step's token rows. | ##### 6. `vllm_ascend/models/layer/attention/layer.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Remove dead `Q/K/V_SCALE_CONSTANT` references | [vllm #49389](vllm-project/vllm#49389) removed env var registrations. Module-level constants still exist. | Remove unused `q_range`/`k_range`/`v_range` initializations and dead `import envs`. | Dead-code cleanup; `DSAAttention.forward()` never used these attributes. | ##### 7. `tests/ut/patch/platform/test_deepseek_v4_thinking.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate reasoning effort expectations | [vllm #50580](vllm-project/vllm#50580) maps `low`/`minimal`/`medium` → `low`. | `vllm_version_is("0.26.0")` guard. | v0.26.0 keeps old mapping; main uses new. | ##### 8. `tests/e2e/pull_request/one_card/spec_decode/test_extract_hidden_states.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Enable `chunked_prefill` for hybrid model | [vllm #50991](vllm-project/vllm#50991) enabled prefix cache by default for Mamba/hybrid models. | `False` → `True`. | Hybrid model now requires chunked prefill. | ##### 9. `vllm_ascend/patch/platform/patch_vision.py` (new) + `vllm_ascend/patch/platform/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Patch `FusedInputNorm.forward` eps=0.0 → eps=1e-5 | [vllm #50411](vllm-project/vllm#50411) added `FusedInputNorm` with `F.batch_norm(eps=0.0)`. | Monkey-patch forward to use `eps=1e-5`; guarded with `contextlib.suppress(ImportError)`. | Upstream PyTorch 2.13.0 allows eps >= 0 for inference; vllm-ascend PyTorch 2.10.0 requires eps > 0 always. Release wheels lack `FusedInputNorm`. Remove this patch once bundled PyTorch >= 2.13.0. | ##### 10. `vllm_ascend/ops/triton/mamba/postprocess.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Add kernel signature parameters | [vllm #50432](vllm-project/vllm#50432) changed signature. | Add `CONV_STATE_DIM_FIRST`, `HAS_IDX_MAPPING`, `PRECOMPUTED_NEW_COMPUTED`, `state_dim_row_count/stride`, `idx_mapping_ptr` parameters, and `num_loops` for DS conv copy. | Must match upstream kernel contract. | ##### 11. `tests/e2e/conftest.py` / `tests/ut/spec_decode/test_speculators_vwn_eagle3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | HunyuanVL placeholder version gate; remove unused `maybe_calc_kv_scales` mock | [vllm #49691](vllm-project/vllm#49691), #49389. | Version gate and dead-mock removal. | Adapt to upstream contract changes. | ##### 12. `vllm_ascend/patch/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Document FusedMoE → FusedMoEFactory rename and new patch_vision entry | — | Update patch registry documentation. | Keep the patch manifest in sync with reality. | #### Compatibility and review notes - Version gates use `vllm_version_is("0.26.0")` exclusively; no `hasattr` fallbacks beyond the explicitly justified `clear_buffer` guard (where the upstream change is a method removal, not a rename). - The `FusedMoE` → `FusedMoEFactory` rename is applied consistently across all call sites: `deepseek_v4.py`, `minimax_m3.py`, `fused_moe.py`, `routed_experts.py`, and `patch_fused_moe.py`. - The `layer.py` `Q/K/V_SCALE_CONSTANT` removal is a dead-code cleanup: the `DSAAttention` class initialized these tensors from `envs` module-level constants (which still exist), but never used them in `forward()`. ### Does this PR introduce _any_ user-facing change? No. This is a compatibility update; no new Ascend-specific public API is introduced. ### How was this patch tested? CI on the branch. See Buildkite workflow run for detailed results. - vLLM version: v0.26.0 - vLLM main: vllm-project/vllm@0351e9a --------- Signed-off-by: liaoqidan <1107297340@qq.com>
LQDLove
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Aug 11, 2026
install_hunyuan_vl_processor_compat no longer patches image-token wrapping (native upstream since vllm-project/vllm#49691), so remove the tests that exercised the removed _patch_image_token_wrapping hook. Signed-off-by: liaoqidan <1107297340@qq.com>
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Aug 12, 2026
### What this PR does / why we need it? #### Upgrade baseline - Update the verified vLLM main anchor from [`2e09247c2d7b6b97d13af6e71a85bf8d1271deb6`](vllm-project/vllm@2e09247) to [`58d3918e3ea0a544ffedadad2ba84559e9c51d8f`](vllm-project/vllm@58d3918). The full upstream range is available in this [comparison](vllm-project/vllm@2e09247...58d3918). - Preserve the vLLM `0.26.0` compatibility lane while adapting the main lane to the new upstream contracts. Version gates use `vllm_version_is("0.26.0")` and are limited to real contract differences. - The changes are organized in the same order as the changed files in this PR. Each item identifies the upstream change, the downstream adaptation, and why the adaptation is required. #### Changes by file ##### 1. `.github/vllm-main-verified.commit` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update anchor to `58d3918e` | Upgrade window [0351e9aa...58d3918e](vllm-project/vllm@0351e9a...58d3918). | Set anchor. | Source of truth for main2main workflow. | ##### 2. `vllm_ascend/patch/platform/patch_fused_moe.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate FusedMoE → FusedMoEFactory rename | [vllm #44941](vllm-project/vllm#44941) renamed `FusedMoE` to `FusedMoEFactory`. | On main, capture and patch `FusedMoEFactory`; on v0.26.0, also patch legacy `FusedMoE`. | Both lanes need the Ascend runner patch at the correct binding. | ##### 3. `vllm_ascend/models/deepseek_v4.py` / `vllm_ascend/models/minimax_m3/minimax_m3.py` / `vllm_ascend/ops/fused_moe/fused_moe.py` / `vllm_ascend/ops/fused_moe/routed_experts.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Import and use `FusedMoEFactory`; remove dead `FusedMoE` re-export | [vllm #44941](vllm-project/vllm#44941). | Replace `FusedMoE` with `FusedMoEFactory`. | Old symbol no longer exists on main. Remove stale `FusedMoE` re-export from `fused_moe.py` and dead reference in `routed_experts.py` comment. | ##### 4. `tests/ut/models/test_deepseek_v4_moe.py` / `tests/ut/models/minimax_m3/test_minimax_m3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update monkeypatch target to `FusedMoEFactory` | [vllm #44941](vllm-project/vllm#44941). | `"FusedMoE"` → `"FusedMoEFactory"`. | Must match the symbol imported by models. | ##### 5. `vllm_ascend/worker/model_runner_v1.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate `calculate_kv_scales` removal | [vllm #49389](vllm-project/vllm#49389) removed runtime KV-scale calculation. | Add `vllm_version_is("0.26.0")` guard. | Ascend MRV1 still supports it on v0.26.0; attribute absent on main. | | Version-gate `clear_buffer()` removal | [vllm #50721](vllm-project/vllm#50721) removed `clear_buffer()` from `RoutedExpertsCapturer`. | Wrap in `vllm_version_is("0.26.0")` guard. | On main, each routed layer overwrites current step's token rows. | ##### 6. `vllm_ascend/models/layer/attention/layer.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Remove dead `Q/K/V_SCALE_CONSTANT` references | [vllm #49389](vllm-project/vllm#49389) removed env var registrations. Module-level constants still exist. | Remove unused `q_range`/`k_range`/`v_range` initializations and dead `import envs`. | Dead-code cleanup; `DSAAttention.forward()` never used these attributes. | ##### 7. `tests/ut/patch/platform/test_deepseek_v4_thinking.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate reasoning effort expectations | [vllm #50580](vllm-project/vllm#50580) maps `low`/`minimal`/`medium` → `low`. | `vllm_version_is("0.26.0")` guard. | v0.26.0 keeps old mapping; main uses new. | ##### 8. `tests/e2e/pull_request/one_card/spec_decode/test_extract_hidden_states.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Enable `chunked_prefill` for hybrid model | [vllm #50991](vllm-project/vllm#50991) enabled prefix cache by default for Mamba/hybrid models. | `False` → `True`. | Hybrid model now requires chunked prefill. | ##### 9. `vllm_ascend/patch/platform/patch_vision.py` (new) + `vllm_ascend/patch/platform/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Patch `FusedInputNorm.forward` eps=0.0 → eps=1e-5 | [vllm #50411](vllm-project/vllm#50411) added `FusedInputNorm` with `F.batch_norm(eps=0.0)`. | Monkey-patch forward to use `eps=1e-5`; guarded with `contextlib.suppress(ImportError)`. | Upstream PyTorch 2.13.0 allows eps >= 0 for inference; vllm-ascend PyTorch 2.10.0 requires eps > 0 always. Release wheels lack `FusedInputNorm`. Remove this patch once bundled PyTorch >= 2.13.0. | ##### 10. `vllm_ascend/ops/triton/mamba/postprocess.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Add kernel signature parameters | [vllm #50432](vllm-project/vllm#50432) changed signature. | Add `CONV_STATE_DIM_FIRST`, `HAS_IDX_MAPPING`, `PRECOMPUTED_NEW_COMPUTED`, `state_dim_row_count/stride`, `idx_mapping_ptr` parameters, and `num_loops` for DS conv copy. | Must match upstream kernel contract. | ##### 11. `tests/e2e/conftest.py` / `tests/ut/spec_decode/test_speculators_vwn_eagle3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | HunyuanVL placeholder version gate; remove unused `maybe_calc_kv_scales` mock | [vllm #49691](vllm-project/vllm#49691), #49389. | Version gate and dead-mock removal. | Adapt to upstream contract changes. | ##### 12. `vllm_ascend/patch/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Document FusedMoE → FusedMoEFactory rename and new patch_vision entry | — | Update patch registry documentation. | Keep the patch manifest in sync with reality. | #### Compatibility and review notes - Version gates use `vllm_version_is("0.26.0")` exclusively; no `hasattr` fallbacks beyond the explicitly justified `clear_buffer` guard (where the upstream change is a method removal, not a rename). - The `FusedMoE` → `FusedMoEFactory` rename is applied consistently across all call sites: `deepseek_v4.py`, `minimax_m3.py`, `fused_moe.py`, `routed_experts.py`, and `patch_fused_moe.py`. - The `layer.py` `Q/K/V_SCALE_CONSTANT` removal is a dead-code cleanup: the `DSAAttention` class initialized these tensors from `envs` module-level constants (which still exist), but never used them in `forward()`. ### Does this PR introduce _any_ user-facing change? No. This is a compatibility update; no new Ascend-specific public API is introduced. ### How was this patch tested? CI on the branch. See Buildkite workflow run for detailed results. - vLLM version: v0.26.0 - vLLM main: vllm-project/vllm@0351e9a --------- Signed-off-by: liaoqidan <1107297340@qq.com>
MmMmaru
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Aug 19, 2026
### What this PR does / why we need it? #### Upgrade baseline - Update the verified vLLM main anchor from [`2e09247c2d7b6b97d13af6e71a85bf8d1271deb6`](vllm-project/vllm@2e09247) to [`58d3918e3ea0a544ffedadad2ba84559e9c51d8f`](vllm-project/vllm@58d3918). The full upstream range is available in this [comparison](vllm-project/vllm@2e09247...58d3918). - Preserve the vLLM `0.26.0` compatibility lane while adapting the main lane to the new upstream contracts. Version gates use `vllm_version_is("0.26.0")` and are limited to real contract differences. - The changes are organized in the same order as the changed files in this PR. Each item identifies the upstream change, the downstream adaptation, and why the adaptation is required. #### Changes by file ##### 1. `.github/vllm-main-verified.commit` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update anchor to `58d3918e` | Upgrade window [0351e9aa...58d3918e](vllm-project/vllm@0351e9a...58d3918). | Set anchor. | Source of truth for main2main workflow. | ##### 2. `vllm_ascend/patch/platform/patch_fused_moe.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate FusedMoE → FusedMoEFactory rename | [vllm #44941](vllm-project/vllm#44941) renamed `FusedMoE` to `FusedMoEFactory`. | On main, capture and patch `FusedMoEFactory`; on v0.26.0, also patch legacy `FusedMoE`. | Both lanes need the Ascend runner patch at the correct binding. | ##### 3. `vllm_ascend/models/deepseek_v4.py` / `vllm_ascend/models/minimax_m3/minimax_m3.py` / `vllm_ascend/ops/fused_moe/fused_moe.py` / `vllm_ascend/ops/fused_moe/routed_experts.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Import and use `FusedMoEFactory`; remove dead `FusedMoE` re-export | [vllm #44941](vllm-project/vllm#44941). | Replace `FusedMoE` with `FusedMoEFactory`. | Old symbol no longer exists on main. Remove stale `FusedMoE` re-export from `fused_moe.py` and dead reference in `routed_experts.py` comment. | ##### 4. `tests/ut/models/test_deepseek_v4_moe.py` / `tests/ut/models/minimax_m3/test_minimax_m3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update monkeypatch target to `FusedMoEFactory` | [vllm #44941](vllm-project/vllm#44941). | `"FusedMoE"` → `"FusedMoEFactory"`. | Must match the symbol imported by models. | ##### 5. `vllm_ascend/worker/model_runner_v1.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate `calculate_kv_scales` removal | [vllm #49389](vllm-project/vllm#49389) removed runtime KV-scale calculation. | Add `vllm_version_is("0.26.0")` guard. | Ascend MRV1 still supports it on v0.26.0; attribute absent on main. | | Version-gate `clear_buffer()` removal | [vllm #50721](vllm-project/vllm#50721) removed `clear_buffer()` from `RoutedExpertsCapturer`. | Wrap in `vllm_version_is("0.26.0")` guard. | On main, each routed layer overwrites current step's token rows. | ##### 6. `vllm_ascend/models/layer/attention/layer.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Remove dead `Q/K/V_SCALE_CONSTANT` references | [vllm #49389](vllm-project/vllm#49389) removed env var registrations. Module-level constants still exist. | Remove unused `q_range`/`k_range`/`v_range` initializations and dead `import envs`. | Dead-code cleanup; `DSAAttention.forward()` never used these attributes. | ##### 7. `tests/ut/patch/platform/test_deepseek_v4_thinking.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate reasoning effort expectations | [vllm #50580](vllm-project/vllm#50580) maps `low`/`minimal`/`medium` → `low`. | `vllm_version_is("0.26.0")` guard. | v0.26.0 keeps old mapping; main uses new. | ##### 8. `tests/e2e/pull_request/one_card/spec_decode/test_extract_hidden_states.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Enable `chunked_prefill` for hybrid model | [vllm #50991](vllm-project/vllm#50991) enabled prefix cache by default for Mamba/hybrid models. | `False` → `True`. | Hybrid model now requires chunked prefill. | ##### 9. `vllm_ascend/patch/platform/patch_vision.py` (new) + `vllm_ascend/patch/platform/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Patch `FusedInputNorm.forward` eps=0.0 → eps=1e-5 | [vllm #50411](vllm-project/vllm#50411) added `FusedInputNorm` with `F.batch_norm(eps=0.0)`. | Monkey-patch forward to use `eps=1e-5`; guarded with `contextlib.suppress(ImportError)`. | Upstream PyTorch 2.13.0 allows eps >= 0 for inference; vllm-ascend PyTorch 2.10.0 requires eps > 0 always. Release wheels lack `FusedInputNorm`. Remove this patch once bundled PyTorch >= 2.13.0. | ##### 10. `vllm_ascend/ops/triton/mamba/postprocess.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Add kernel signature parameters | [vllm #50432](vllm-project/vllm#50432) changed signature. | Add `CONV_STATE_DIM_FIRST`, `HAS_IDX_MAPPING`, `PRECOMPUTED_NEW_COMPUTED`, `state_dim_row_count/stride`, `idx_mapping_ptr` parameters, and `num_loops` for DS conv copy. | Must match upstream kernel contract. | ##### 11. `tests/e2e/conftest.py` / `tests/ut/spec_decode/test_speculators_vwn_eagle3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | HunyuanVL placeholder version gate; remove unused `maybe_calc_kv_scales` mock | [vllm #49691](vllm-project/vllm#49691), #49389. | Version gate and dead-mock removal. | Adapt to upstream contract changes. | ##### 12. `vllm_ascend/patch/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Document FusedMoE → FusedMoEFactory rename and new patch_vision entry | — | Update patch registry documentation. | Keep the patch manifest in sync with reality. | #### Compatibility and review notes - Version gates use `vllm_version_is("0.26.0")` exclusively; no `hasattr` fallbacks beyond the explicitly justified `clear_buffer` guard (where the upstream change is a method removal, not a rename). - The `FusedMoE` → `FusedMoEFactory` rename is applied consistently across all call sites: `deepseek_v4.py`, `minimax_m3.py`, `fused_moe.py`, `routed_experts.py`, and `patch_fused_moe.py`. - The `layer.py` `Q/K/V_SCALE_CONSTANT` removal is a dead-code cleanup: the `DSAAttention` class initialized these tensors from `envs` module-level constants (which still exist), but never used them in `forward()`. ### Does this PR introduce _any_ user-facing change? No. This is a compatibility update; no new Ascend-specific public API is introduced. ### How was this patch tested? CI on the branch. See Buildkite workflow run for detailed results. - vLLM version: v0.26.0 - vLLM main: vllm-project/vllm@0351e9a --------- Signed-off-by: liaoqidan <1107297340@qq.com>
shiqiangA
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Aug 20, 2026
### What this PR does / why we need it? #### Upgrade baseline - Update the verified vLLM main anchor from [`2e09247c2d7b6b97d13af6e71a85bf8d1271deb6`](vllm-project/vllm@2e09247) to [`58d3918e3ea0a544ffedadad2ba84559e9c51d8f`](vllm-project/vllm@58d3918). The full upstream range is available in this [comparison](vllm-project/vllm@2e09247...58d3918). - Preserve the vLLM `0.26.0` compatibility lane while adapting the main lane to the new upstream contracts. Version gates use `vllm_version_is("0.26.0")` and are limited to real contract differences. - The changes are organized in the same order as the changed files in this PR. Each item identifies the upstream change, the downstream adaptation, and why the adaptation is required. #### Changes by file ##### 1. `.github/vllm-main-verified.commit` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update anchor to `58d3918e` | Upgrade window [0351e9aa...58d3918e](vllm-project/vllm@0351e9a...58d3918). | Set anchor. | Source of truth for main2main workflow. | ##### 2. `vllm_ascend/patch/platform/patch_fused_moe.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate FusedMoE → FusedMoEFactory rename | [vllm #44941](vllm-project/vllm#44941) renamed `FusedMoE` to `FusedMoEFactory`. | On main, capture and patch `FusedMoEFactory`; on v0.26.0, also patch legacy `FusedMoE`. | Both lanes need the Ascend runner patch at the correct binding. | ##### 3. `vllm_ascend/models/deepseek_v4.py` / `vllm_ascend/models/minimax_m3/minimax_m3.py` / `vllm_ascend/ops/fused_moe/fused_moe.py` / `vllm_ascend/ops/fused_moe/routed_experts.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Import and use `FusedMoEFactory`; remove dead `FusedMoE` re-export | [vllm #44941](vllm-project/vllm#44941). | Replace `FusedMoE` with `FusedMoEFactory`. | Old symbol no longer exists on main. Remove stale `FusedMoE` re-export from `fused_moe.py` and dead reference in `routed_experts.py` comment. | ##### 4. `tests/ut/models/test_deepseek_v4_moe.py` / `tests/ut/models/minimax_m3/test_minimax_m3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update monkeypatch target to `FusedMoEFactory` | [vllm #44941](vllm-project/vllm#44941). | `"FusedMoE"` → `"FusedMoEFactory"`. | Must match the symbol imported by models. | ##### 5. `vllm_ascend/worker/model_runner_v1.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate `calculate_kv_scales` removal | [vllm #49389](vllm-project/vllm#49389) removed runtime KV-scale calculation. | Add `vllm_version_is("0.26.0")` guard. | Ascend MRV1 still supports it on v0.26.0; attribute absent on main. | | Version-gate `clear_buffer()` removal | [vllm #50721](vllm-project/vllm#50721) removed `clear_buffer()` from `RoutedExpertsCapturer`. | Wrap in `vllm_version_is("0.26.0")` guard. | On main, each routed layer overwrites current step's token rows. | ##### 6. `vllm_ascend/models/layer/attention/layer.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Remove dead `Q/K/V_SCALE_CONSTANT` references | [vllm #49389](vllm-project/vllm#49389) removed env var registrations. Module-level constants still exist. | Remove unused `q_range`/`k_range`/`v_range` initializations and dead `import envs`. | Dead-code cleanup; `DSAAttention.forward()` never used these attributes. | ##### 7. `tests/ut/patch/platform/test_deepseek_v4_thinking.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate reasoning effort expectations | [vllm #50580](vllm-project/vllm#50580) maps `low`/`minimal`/`medium` → `low`. | `vllm_version_is("0.26.0")` guard. | v0.26.0 keeps old mapping; main uses new. | ##### 8. `tests/e2e/pull_request/one_card/spec_decode/test_extract_hidden_states.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Enable `chunked_prefill` for hybrid model | [vllm #50991](vllm-project/vllm#50991) enabled prefix cache by default for Mamba/hybrid models. | `False` → `True`. | Hybrid model now requires chunked prefill. | ##### 9. `vllm_ascend/patch/platform/patch_vision.py` (new) + `vllm_ascend/patch/platform/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Patch `FusedInputNorm.forward` eps=0.0 → eps=1e-5 | [vllm #50411](vllm-project/vllm#50411) added `FusedInputNorm` with `F.batch_norm(eps=0.0)`. | Monkey-patch forward to use `eps=1e-5`; guarded with `contextlib.suppress(ImportError)`. | Upstream PyTorch 2.13.0 allows eps >= 0 for inference; vllm-ascend PyTorch 2.10.0 requires eps > 0 always. Release wheels lack `FusedInputNorm`. Remove this patch once bundled PyTorch >= 2.13.0. | ##### 10. `vllm_ascend/ops/triton/mamba/postprocess.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Add kernel signature parameters | [vllm #50432](vllm-project/vllm#50432) changed signature. | Add `CONV_STATE_DIM_FIRST`, `HAS_IDX_MAPPING`, `PRECOMPUTED_NEW_COMPUTED`, `state_dim_row_count/stride`, `idx_mapping_ptr` parameters, and `num_loops` for DS conv copy. | Must match upstream kernel contract. | ##### 11. `tests/e2e/conftest.py` / `tests/ut/spec_decode/test_speculators_vwn_eagle3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | HunyuanVL placeholder version gate; remove unused `maybe_calc_kv_scales` mock | [vllm #49691](vllm-project/vllm#49691), #49389. | Version gate and dead-mock removal. | Adapt to upstream contract changes. | ##### 12. `vllm_ascend/patch/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Document FusedMoE → FusedMoEFactory rename and new patch_vision entry | — | Update patch registry documentation. | Keep the patch manifest in sync with reality. | #### Compatibility and review notes - Version gates use `vllm_version_is("0.26.0")` exclusively; no `hasattr` fallbacks beyond the explicitly justified `clear_buffer` guard (where the upstream change is a method removal, not a rename). - The `FusedMoE` → `FusedMoEFactory` rename is applied consistently across all call sites: `deepseek_v4.py`, `minimax_m3.py`, `fused_moe.py`, `routed_experts.py`, and `patch_fused_moe.py`. - The `layer.py` `Q/K/V_SCALE_CONSTANT` removal is a dead-code cleanup: the `DSAAttention` class initialized these tensors from `envs` module-level constants (which still exist), but never used them in `forward()`. ### Does this PR introduce _any_ user-facing change? No. This is a compatibility update; no new Ascend-specific public API is introduced. ### How was this patch tested? CI on the branch. See Buildkite workflow run for detailed results. - vLLM version: v0.26.0 - vLLM main: vllm-project/vllm@0351e9a --------- Signed-off-by: liaoqidan <1107297340@qq.com>
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Aug 26, 2026
### What this PR does / why we need it? #### Upgrade baseline - Update the verified vLLM main anchor from [`2e09247c2d7b6b97d13af6e71a85bf8d1271deb6`](vllm-project/vllm@2e09247) to [`58d3918e3ea0a544ffedadad2ba84559e9c51d8f`](vllm-project/vllm@58d3918). The full upstream range is available in this [comparison](vllm-project/vllm@2e09247...58d3918). - Preserve the vLLM `0.26.0` compatibility lane while adapting the main lane to the new upstream contracts. Version gates use `vllm_version_is("0.26.0")` and are limited to real contract differences. - The changes are organized in the same order as the changed files in this PR. Each item identifies the upstream change, the downstream adaptation, and why the adaptation is required. #### Changes by file ##### 1. `.github/vllm-main-verified.commit` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update anchor to `58d3918e` | Upgrade window [0351e9aa...58d3918e](vllm-project/vllm@0351e9a...58d3918). | Set anchor. | Source of truth for main2main workflow. | ##### 2. `vllm_ascend/patch/platform/patch_fused_moe.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate FusedMoE → FusedMoEFactory rename | [vllm #44941](vllm-project/vllm#44941) renamed `FusedMoE` to `FusedMoEFactory`. | On main, capture and patch `FusedMoEFactory`; on v0.26.0, also patch legacy `FusedMoE`. | Both lanes need the Ascend runner patch at the correct binding. | ##### 3. `vllm_ascend/models/deepseek_v4.py` / `vllm_ascend/models/minimax_m3/minimax_m3.py` / `vllm_ascend/ops/fused_moe/fused_moe.py` / `vllm_ascend/ops/fused_moe/routed_experts.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Import and use `FusedMoEFactory`; remove dead `FusedMoE` re-export | [vllm #44941](vllm-project/vllm#44941). | Replace `FusedMoE` with `FusedMoEFactory`. | Old symbol no longer exists on main. Remove stale `FusedMoE` re-export from `fused_moe.py` and dead reference in `routed_experts.py` comment. | ##### 4. `tests/ut/models/test_deepseek_v4_moe.py` / `tests/ut/models/minimax_m3/test_minimax_m3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Update monkeypatch target to `FusedMoEFactory` | [vllm #44941](vllm-project/vllm#44941). | `"FusedMoE"` → `"FusedMoEFactory"`. | Must match the symbol imported by models. | ##### 5. `vllm_ascend/worker/model_runner_v1.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate `calculate_kv_scales` removal | [vllm #49389](vllm-project/vllm#49389) removed runtime KV-scale calculation. | Add `vllm_version_is("0.26.0")` guard. | Ascend MRV1 still supports it on v0.26.0; attribute absent on main. | | Version-gate `clear_buffer()` removal | [vllm #50721](vllm-project/vllm#50721) removed `clear_buffer()` from `RoutedExpertsCapturer`. | Wrap in `vllm_version_is("0.26.0")` guard. | On main, each routed layer overwrites current step's token rows. | ##### 6. `vllm_ascend/models/layer/attention/layer.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Remove dead `Q/K/V_SCALE_CONSTANT` references | [vllm #49389](vllm-project/vllm#49389) removed env var registrations. Module-level constants still exist. | Remove unused `q_range`/`k_range`/`v_range` initializations and dead `import envs`. | Dead-code cleanup; `DSAAttention.forward()` never used these attributes. | ##### 7. `tests/ut/patch/platform/test_deepseek_v4_thinking.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Version-gate reasoning effort expectations | [vllm #50580](vllm-project/vllm#50580) maps `low`/`minimal`/`medium` → `low`. | `vllm_version_is("0.26.0")` guard. | v0.26.0 keeps old mapping; main uses new. | ##### 8. `tests/e2e/pull_request/one_card/spec_decode/test_extract_hidden_states.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Enable `chunked_prefill` for hybrid model | [vllm #50991](vllm-project/vllm#50991) enabled prefix cache by default for Mamba/hybrid models. | `False` → `True`. | Hybrid model now requires chunked prefill. | ##### 9. `vllm_ascend/patch/platform/patch_vision.py` (new) + `vllm_ascend/patch/platform/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Patch `FusedInputNorm.forward` eps=0.0 → eps=1e-5 | [vllm #50411](vllm-project/vllm#50411) added `FusedInputNorm` with `F.batch_norm(eps=0.0)`. | Monkey-patch forward to use `eps=1e-5`; guarded with `contextlib.suppress(ImportError)`. | Upstream PyTorch 2.13.0 allows eps >= 0 for inference; vllm-ascend PyTorch 2.10.0 requires eps > 0 always. Release wheels lack `FusedInputNorm`. Remove this patch once bundled PyTorch >= 2.13.0. | ##### 10. `vllm_ascend/ops/triton/mamba/postprocess.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Add kernel signature parameters | [vllm #50432](vllm-project/vllm#50432) changed signature. | Add `CONV_STATE_DIM_FIRST`, `HAS_IDX_MAPPING`, `PRECOMPUTED_NEW_COMPUTED`, `state_dim_row_count/stride`, `idx_mapping_ptr` parameters, and `num_loops` for DS conv copy. | Must match upstream kernel contract. | ##### 11. `tests/e2e/conftest.py` / `tests/ut/spec_decode/test_speculators_vwn_eagle3.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | HunyuanVL placeholder version gate; remove unused `maybe_calc_kv_scales` mock | [vllm #49691](vllm-project/vllm#49691), #49389. | Version gate and dead-mock removal. | Adapt to upstream contract changes. | ##### 12. `vllm_ascend/patch/__init__.py` | Change | Upstream change | Downstream adaptation | Why | |---|---|---|---| | Document FusedMoE → FusedMoEFactory rename and new patch_vision entry | — | Update patch registry documentation. | Keep the patch manifest in sync with reality. | #### Compatibility and review notes - Version gates use `vllm_version_is("0.26.0")` exclusively; no `hasattr` fallbacks beyond the explicitly justified `clear_buffer` guard (where the upstream change is a method removal, not a rename). - The `FusedMoE` → `FusedMoEFactory` rename is applied consistently across all call sites: `deepseek_v4.py`, `minimax_m3.py`, `fused_moe.py`, `routed_experts.py`, and `patch_fused_moe.py`. - The `layer.py` `Q/K/V_SCALE_CONSTANT` removal is a dead-code cleanup: the `DSAAttention` class initialized these tensors from `envs` module-level constants (which still exist), but never used them in `forward()`. ### Does this PR introduce _any_ user-facing change? No. This is a compatibility update; no new Ascend-specific public API is introduced. ### How was this patch tested? CI on the branch. See Buildkite workflow run for detailed results. - vLLM version: v0.26.0 - vLLM main: vllm-project/vllm@0351e9a --------- Signed-off-by: liaoqidan <1107297340@qq.com>
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The prompt replacement matched only the image token while adding a full
start/image/end sequence, resulting in duplicated image boundary tokens
and XD-RoPE indexing errors.
Match the full start/image/end placeholder and use the same format for
dummy inputs.