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glm5_next: do not require a residual in the PP proxy tensors - #11

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Thireus merged 1 commit into
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fix/glm5-next-pp-residual-main
Sep 8, 2026
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Thireus merged 1 commit into
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fix/glm5-next-pp-residual-main

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@Thireus Thireus commented Sep 8, 2026

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Any --pp-size > 1 worker dies at the first forward with KeyError: 'residual' on every non-first pipeline stage. Glm5NextModel.forward reads pp_proxy_tensors["residual"] unconditionally (glm5_next.py:1094) and returns both keys at :1183.

mHC folds the residual into the widened hidden state, so the previous stage never sends one. configs/model_config.py sets hc_mult = 4 and mhc = true for this checkpoint, so hc_hidden_size is 16384 rather than None; runner_utils/buffers.py and runner/base_runner.py both test is_mhc = hc_hidden_size is not None, allocate only hidden_states at the widened size, and guard the residual buffer behind if not is_mhc:. The reference mHC model deepseek_v4.py:3188 returns only {"hidden_states": hidden_states.flatten(1)}, so glm5_next is the odd one out.

Read the proxy with .tensors.get("residual") so an absent key means None, and send the key on only when it exists, because a None cannot travel over PP IPC.

Verified on 3 x RTX PRO 6000 Blackwell serving a GLM-5.3-Flash NVFP4 build as pp=3 x tp=1: without it there is no launchable three-GPU shape at all, since tp=3 is impossible at 64 heads and tp2 x pp2 inherits the same defect; with it the worker starts and the log carries no residual KeyError.

sgl-project#37375 proposed the same fix first, on 2026-09-01. It was stacked on xinyuan/glm-5.3-flash-support and GitHub auto-closed it unmerged on 2026-09-06 when that branch merged as sgl-project#36507. The bug survived the merge: main still reads the key unconditionally at models/glm5_next.py:983. Credit for the diagnosis belongs to that author.


CI States

Latest PR Test (Base): 🚫 Run #34178113809
Latest PR Test (Extra): 🚫 Run #34178113729
Latest PR Test (AMD ROCm 7.2): 🚫 Run #34178113896

Any --pp-size > 1 worker dies at the first forward with KeyError: 'residual' on every non-first pipeline stage. Glm5NextModel.forward reads pp_proxy_tensors["residual"] unconditionally (glm5_next.py:1094) and returns both keys at :1183.

mHC folds the residual into the widened hidden state, so the previous stage never sends one. configs/model_config.py sets hc_mult = 4 and mhc = true for this checkpoint, so hc_hidden_size is 16384 rather than None; runner_utils/buffers.py and runner/base_runner.py both test is_mhc = hc_hidden_size is not None, allocate only hidden_states at the widened size, and guard the residual buffer behind `if not is_mhc:`. The reference mHC model deepseek_v4.py:3188 returns only {"hidden_states": hidden_states.flatten(1)}, so glm5_next is the odd one out.

Read the proxy with .tensors.get("residual") so an absent key means None, and send the key on only when it exists, because a None cannot travel over PP IPC.

Verified on 3 x RTX PRO 6000 Blackwell serving a GLM-5.3-Flash NVFP4 build as pp=3 x tp=1: without it there is no launchable three-GPU shape at all, since tp=3 is impossible at 64 heads and tp2 x pp2 inherits the same defect; with it the worker starts and the log carries no residual KeyError.

sgl-project#37375 proposed the same fix first, on 2026-09-01. It was stacked on xinyuan/glm-5.3-flash-support and GitHub auto-closed it unmerged on 2026-09-06 when that branch merged as sgl-project#36507. The bug survived the merge: main still reads the key unconditionally at models/glm5_next.py:983. Credit for the diagnosis belongs to that author.
@Thireus
Thireus merged commit feafcea into main Sep 8, 2026
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