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* fix attn module for llama4 * Address comments * Rebase to accommodate latest attn refactor and refactor l4attn * Remove aux_stream from classic attn * Use RMSNorm for L2Norm * Update tensorrt_llm/_torch/models/modeling_llama.py Co-authored-by: hlu1 <14827759+hlu1@users.noreply.github.com> Signed-off-by: Chang Liu <lc9114@gmail.com> * Add typing informations for _attn_qkv * Remove redundant comment * Simplify llama4 DecoderLayer logic --------- Signed-off-by: Chang Liu <lc9114@gmail.com> Co-authored-by: hlu1 <14827759+hlu1@users.noreply.github.com> |
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| .. | ||
| attention_backend | ||
| auto_deploy | ||
| compilation | ||
| custom_ops | ||
| distributed | ||
| models | ||
| modules | ||
| peft | ||
| pyexecutor | ||
| speculative | ||
| __init__.py | ||
| autotuner.py | ||
| llm.py | ||
| metadata.py | ||
| model_config.py | ||
| pipeline_interface.py | ||
| utils.py | ||