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C++, Python and Python MoE layer all share the definition of ActivationType. Currently this is done thru redefinition which is fragile and can break when adding new activation function types. tensorrt_llm/_torch/utils.py cpp/tensorrt_llm/kernels/cutlass_kernels/include/common.h => tensorrt_llm/layers/moe.py cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com> Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com> Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| activation.py | ||
| attention.py | ||
| cast.py | ||
| conv.py | ||
| embedding.py | ||
| language_adapter.py | ||
| linear.py | ||
| lora.py | ||
| mlp.py | ||
| moe.py | ||
| normalization.py | ||
| pooling.py | ||
| recurrent.py | ||
| ssm.py | ||