[None][fix] Fix assertion errors of quantization when using online EPLB #6922
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Signed-off-by: Jinyang Yuan <[email protected]>
📝 WalkthroughWalkthroughRemoved CUDA-only device assertion checks from fused MoE quantization weight-loading paths in tensorrt_llm/_torch/modules/fused_moe/quantization.py. Logic otherwise unchanged; weight shards continue to load to the provided device across FP8, MXFP4/NVFP4, WInt4 AFP8, DeepSeek FP8 blocks, and TRT/Cutlass variants. No API or signature changes. Changes
Sequence Diagram(s)sequenceDiagram
participant Caller
participant QuantLoader as Quantization Loader
participant Device
Caller->>QuantLoader: load_expert_*_weight(..., device)
Note over QuantLoader: CUDA assertion removed
QuantLoader->>Device: load_weight_shard / load_quant_scales
Device-->>QuantLoader: tensors on provided device
QuantLoader-->>Caller: return loaded weights/scales
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~15 minutes Possibly related PRs
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hlu1
approved these changes
Aug 19, 2025
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Some weights are loaded to host when using online EPLB. Therefore, some assertions need to be removed.
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