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llama.cpp/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu

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CUDA: refactor mmq, dmmv, mmvq (#7716) * CUDA: refactor mmq, dmmv, mmvq * fix out-of-bounds write * struct for qk, qr, qi * fix cmake build * mmq_type_traits
2024-06-05 14:53:00 +00:00
// This file has been autogenerated by generate_cu_files.py, do not edit manually.
CUDA: quantized KV support for FA vec (#7527) * CUDA: quantized KV support for FA vec * try CI fix * fix commented-out kernel variants * add q8_0 q4_0 tests * fix nwarps > batch size * split fattn compile via extern templates * fix flake8 * fix metal tests * fix cmake * make generate_cu_files.py executable * add autogenerated .cu files * fix AMD * error if type_v != FP16 and not flash_attn * remove obsolete code
2024-06-01 06:44:14 +00:00
#include "../fattn-wmma-f16.cuh"
DECL_FATTN_WMMA_F16_CASE(64, 16, float);
DECL_FATTN_WMMA_F16_CASE(80, 16, float);
DECL_FATTN_WMMA_F16_CASE(96, 16, float);
DECL_FATTN_WMMA_F16_CASE(112, 16, float);
DECL_FATTN_WMMA_F16_CASE(128, 16, float);
DECL_FATTN_WMMA_F16_CASE(256, 16, float);
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