Cherry pick LLaMA or SDXL to rel-1.16.2 (round 2) #18245
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Implement Cutlass Memory Efficient Attention Kernel into Group Query Attention Operator. ### Motivation and Context Before this change, Group Query Attention Operator was supported only by Flash-Attention. While this is the most efficient kernel for the operation, it only supports sm >= 80. Cutlass Memory Efficient Attention Kernel supports sm >= 53, allowing us to support a broader range of GPU hardware.
### Description Support llama-70b model fusion and shardding ### Motivation and Context This change enables shard and export llama-70b model into Onnx as this model is too large for single GPU. This change also fuses llama-70b model with repeat_kv pattern different with llama-7b and llama-13b.
aciddelgado
approved these changes
Nov 2, 2023
frank-dong-ms
approved these changes
Nov 3, 2023
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Description
2nd round of cherry pick LLaMA or SDXL related changes to 1.16.2 release.
Motivation and Context