diff options
Diffstat (limited to 'candle-flash-attn/kernels/flash_fwd_hdim128_fp16_sm80.cu')
| -rw-r--r-- | candle-flash-attn/kernels/flash_fwd_hdim128_fp16_sm80.cu | 26 |
1 files changed, 2 insertions, 24 deletions
diff --git a/candle-flash-attn/kernels/flash_fwd_hdim128_fp16_sm80.cu b/candle-flash-attn/kernels/flash_fwd_hdim128_fp16_sm80.cu index 5b7254a9..19b005ad 100644 --- a/candle-flash-attn/kernels/flash_fwd_hdim128_fp16_sm80.cu +++ b/candle-flash-attn/kernels/flash_fwd_hdim128_fp16_sm80.cu @@ -1,32 +1,10 @@ // Copyright (c) 2023, Tri Dao. - // Splitting the different head dimensions to different files to speed up compilation. +// This file is auto-generated. See "generate_kernels.py" #include "flash_fwd_launch_template.h" -// template<> -// void run_mha_fwd_<cutlass::half_t, 128>(Flash_fwd_params ¶ms, cudaStream_t stream) { -// using elem_type = cutlass::half_t; -// if (params.p_dropout == 1.f) { -// // Using 8 warps (128 x 128 and 256 x 64) is 28% slower for seqlen=2k -// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 64, 4, false, false, elem_type>, false>(params, stream); -// // run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 64, 4, true, false, elem_type>, false>(params, stream); -// // run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 64, 4, false, true, elem_type>, false>(params, stream); -// // run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 64, 4, true, true, elem_type>, false>(params, stream); -// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 32, 4, false, false, elem_type>, false>(params, stream); -// run_flash_fwd<Flash_fwd_kernel_traits<128, 64, 64, 4, false, false, elem_type>, false>(params, stream); -// run_flash_fwd<Flash_fwd_kernel_traits<128, 64, 128, 4, false, false, elem_type>, false>(params, stream); -// // 1st ones are good for H100, A100 -// // 2nd one is good for A6000 bc we get slightly better occupancy -// } else { -// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 32, 4, false, false, elem_type>, true>(params, stream); -// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 32, 4, true, false, elem_type>, true>(params, stream); -// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 32, 4, true, true, elem_type>, true>(params, stream); -// // 1st one is good for H100, A100, A6000 -// } -// } - template<> void run_mha_fwd_<cutlass::half_t, 128>(Flash_fwd_params ¶ms, cudaStream_t stream) { run_mha_fwd_hdim128<cutlass::half_t>(params, stream); -}
\ No newline at end of file +} |