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authorKawrakow <iwankawrakow@gmail.com>2025-02-23 14:31:11 +0200
committerGitHub <noreply@github.com>2025-02-23 14:31:11 +0200
commitac1d259b93eccfa7371c6b00c5749400ff2b2aea (patch)
treefe8bb34c9dcbea805595c5087f00b188bb89fc05 /examples/quantize/README.md
parent46bf73a37f1aabe6f0b40365b0c7b2ba831905f5 (diff)
Fused MoE ffn_up and ffn_gate (#229)
* Fusing MoE up * unary(gate) * Fusing MoE up * unary(gate): CUDA We get ~13% speedup for PP-512 and ~2% for TG-128 for DeepSeek-Lite * On CUDA also fuse MoE down * (up * unary(gate)) in case the MUL_MAT_ID op for the down experts is the next op in the graph. * Command line option to enable fused MoE up*unary(gate) * Add fmoe option to llama-bench * Adding forgotten gelu, relu, silu on ARM --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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