[https://nvbugs/5747674][fix] Add contiguous() before view() in load_expert_w3_w1_weight and load - #10136
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…_expert_w2_weight to handle non-contiguous tensors returned by load_weight_shard for Llama-4 FP4 models. Signed-off-by: Faraz Khoubsirat <58580514+farazkh80@users.noreply.github.com>
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tensorrt_llm/_torch/modules/fused_moe/quantization.py(2 hunks)
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tensorrt_llm/_torch/modules/fused_moe/quantization.py
🧠 Learnings (2)
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Learnt from: jhaotingc
Repo: NVIDIA/TensorRT-LLM PR: 7856
File: cpp/tensorrt_llm/thop/fp8BlockScaleMoe.cpp:159-166
Timestamp: 2025-09-19T21:28:13.751Z
Learning: In TensorRT-LLM blockScaleMoe routing (cpp/tensorrt_llm/kernels/trtllmGenKernels/blockScaleMoe/runner.cu), the DeepSeek routing method performs reinterpret_cast<float*>(routingLogits) at line 89, which could cause issues if routing_logits are BF16. However, Qwen3-FP8 models use RenormalizeNaive routing method and are not affected by this dtype casting issue.
📚 Learning: 2025-09-19T21:28:13.751Z
Learnt from: jhaotingc
Repo: NVIDIA/TensorRT-LLM PR: 7856
File: cpp/tensorrt_llm/thop/fp8BlockScaleMoe.cpp:159-166
Timestamp: 2025-09-19T21:28:13.751Z
Learning: In TensorRT-LLM blockScaleMoe routing (cpp/tensorrt_llm/kernels/trtllmGenKernels/blockScaleMoe/runner.cu), the DeepSeek routing method performs reinterpret_cast<float*>(routingLogits) at line 89, which could cause issues if routing_logits are BF16. However, Qwen3-FP8 models use RenormalizeNaive routing method and are not affected by this dtype casting issue.
Applied to files:
tensorrt_llm/_torch/modules/fused_moe/quantization.py
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🔇 Additional comments (1)
tensorrt_llm/_torch/modules/fused_moe/quantization.py (1)
2168-2171: LGTM! Essential fix for non-contiguous tensor handling.The addition of
.contiguous()before.view()correctly addresses the issue whereload_weight_shardreturns non-contiguous tensors. This is consistent with the pattern already used in the base classFusedMoEMethodBase.load_expert_w3_w1_weight(lines 480-486).
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…expert_w3_w1_weight and load (NVIDIA#10136) Signed-off-by: Faraz Khoubsirat <58580514+farazkh80@users.noreply.github.com>
…expert_w3_w1_weight and load (NVIDIA#10136) Signed-off-by: Faraz Khoubsirat <58580514+farazkh80@users.noreply.github.com> Signed-off-by: Daniil Kulko <kulkodaniil@gmail.com>
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Description
Add .contiguous() before .view() in load_expert_w3_w1_weight and load_expert_w2_weight to handle non-contiguous tensors returned by load_weight_shard for Llama-4 FP4 models.
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