in the TensorRT motor Create approach, some elaborate layer fusions cannot be mechanically discovered. TensorRT-LLM optimizes these applying plugins which might be explicitly inserted into the network graph definition at compile time to switch user-defined kernels including the matrix multiplications from FBGEMM for that Llama three.1 models.
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These models are also now accelerated with TensorRT-LLM. TensorRT-LLM compiles the versions into TensorRT engines, from model levels into optimized CUDA kernels working with sample matching and fusion, To maximise inference performance. These engines are then executed with the TensorRT-LLM runtime, which includes various optimizations:
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