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Commit 7a983df7 authored by Tri Dao's avatar Tri Dao
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Use generate_kernels.py script from Driss Guessous

parent c3f2a632
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csrc/flash_attn/src/flash_bwd_hdim128_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::bfloat16_t, 128>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::bfloat16_t;
// if (params.h == params.h_k) {
// run_flash_bwd<Flash_bwd_kernel_traits<128, 64, 128, 8, 2, 4, 2, false, false, elem_type>>(params, stream, configure);
// } else {
// run_flash_bwd_seqq_parallel<Flash_bwd_kernel_traits<128, 128, 64, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
// }
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 128>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 128>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim128<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim128<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim128_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::half_t, 128>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::half_t;
// if (params.h == params.h_k) {
// // run_flash_bwd<Flash_bwd_kernel_traits<128, 32, 128, 8, 2, 2, 2, false, false, elem_type>>(params, stream, configure);
// // This is faster, in the case of sequence-parallel bwd (where we need fewer registers).
// // Out of these three, the 2nd one is slightly faster (2% faster than the first). Idk why.
// // run_flash_bwd<Flash_bwd_kernel_traits<128, 64, 128, 8, 2, 2, 2, false, false, elem_type>>(params, stream, configure);
// run_flash_bwd<Flash_bwd_kernel_traits<128, 64, 128, 8, 2, 4, 2, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<128, 64, 128, 8, 2, 4, 4, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<128, 128, 64, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// } else {
// run_flash_bwd_seqq_parallel<Flash_bwd_kernel_traits<128, 128, 64, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
// }
template<> template<>
void run_mha_bwd_<cutlass::half_t, 128>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 128>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim128<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim128<cutlass::half_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim160_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 160>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 160>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim160<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim160<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim160_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::half_t, 160>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 160>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim160<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim160<cutlass::half_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim192_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 192>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 192>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim192<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim192<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim192_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::half_t, 192>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 192>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim192<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim192<cutlass::half_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim224_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 224>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 224>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim224<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim224<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim224_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::half_t, 224>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 224>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim224<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim224<cutlass::half_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim256_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 256>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 256>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim256<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim256<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim256_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
template<> template<>
void run_mha_bwd_<cutlass::half_t, 256>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 256>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim256<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim256<cutlass::half_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim32_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::bfloat16_t, 32>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::bfloat16_t;
// run_flash_bwd<Flash_bwd_kernel_traits<32, 128, 128, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 32>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 32>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim32<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim32<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim32_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::half_t, 32>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::half_t;
// run_flash_bwd<Flash_bwd_kernel_traits<32, 128, 128, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
template<> template<>
void run_mha_bwd_<cutlass::half_t, 32>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 32>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim32<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim32<cutlass::half_t>(params, stream, configure);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_bwd_hdim64_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::bfloat16_t, 64>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::bfloat16_t;
// run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 128, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 64>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 64>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim64<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim64<cutlass::bfloat16_t>(params, stream, configure);
} }
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csrc/flash_attn/src/flash_bwd_hdim64_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::half_t, 64>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::half_t;
// // Changing AtomLayoutMdQ from 2 to 4 takes the same time
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 64, 128, 8, 2, 4, 2, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 64, 128, 8, 2, 4, 2, true, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 128, 8, 2, 4, 4, false, false, elem_type>>(params, stream, configure);
// // This is slightly faster. We want to split M more so we need fewer registers to store LSE.
// run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 128, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 64, 8, 4, 2, 4, true, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 64, 64, 4, 2, 2, 2, true, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 32, 128, 4, 1, 4, 1, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 16, 128, 4, 1, 4, 1, false, false, elem_type>>(params, stream, configure);
// // M=128, N=64 is quite slow, I think because we need to read/write dQaccum twice as many times
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 64, 8, 2, 2, 2, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 64, 8, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 16, 256, 8, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 128, 8, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 64, 64, 4, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 256, 64, 8, 8, 4, 8, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 256, 64, 8, 8, 4, 4, false, false, elem_type>>(params, stream, configure);
// // run_flash_bwd<Flash_bwd_kernel_traits<64, 128, 64, 4, 4, 2, 4, false, false, elem_type>>(params, stream, configure);
// }
template<> template<>
void run_mha_bwd_<cutlass::half_t, 64>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 64>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim64<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim64<cutlass::half_t>(params, stream, configure);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_bwd_hdim96_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::bfloat16_t, 96>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::bfloat16_t;
// if (params.h == params.h_k) {
// run_flash_bwd<Flash_bwd_kernel_traits<96, 64, 128, 8, 2, 4, 4, false, false, elem_type>>(params, stream, configure);
// } else {
// run_flash_bwd_seqq_parallel<Flash_bwd_kernel_traits<96, 128, 64, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
// }
template<> template<>
void run_mha_bwd_<cutlass::bfloat16_t, 96>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::bfloat16_t, 96>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim96<cutlass::bfloat16_t>(params, stream, configure); run_mha_bwd_hdim96<cutlass::bfloat16_t>(params, stream, configure);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_bwd_hdim96_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // Splitting the different head dimensions to different files to speed up compilation.
// This file is auto-generated. See "generate_kernels.py"
#include "flash_bwd_launch_template.h" #include "flash_bwd_launch_template.h"
// template<>
// void run_mha_bwd_<cutlass::half_t, 96>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
// using elem_type = cutlass::half_t;
// if (params.h == params.h_k) {
// // run_flash_bwd<Flash_bwd_kernel_traits<96, 64, 128, 8, 2, 4, 4, true, false, elem_type>>(params, stream, configure);
// // This is very slightly faster
// run_flash_bwd<Flash_bwd_kernel_traits<96, 64, 128, 8, 2, 4, 4, false, false, elem_type>>(params, stream, configure);
// } else {
// run_flash_bwd_seqq_parallel<Flash_bwd_kernel_traits<96, 128, 64, 8, 4, 4, 4, false, false, elem_type>>(params, stream, configure);
// }
// }
template<> template<>
void run_mha_bwd_<cutlass::half_t, 96>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) { void run_mha_bwd_<cutlass::half_t, 96>(Flash_bwd_params &params, cudaStream_t stream, const bool configure) {
run_mha_bwd_hdim96<cutlass::half_t>(params, stream, configure); run_mha_bwd_hdim96<cutlass::half_t>(params, stream, configure);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_fwd_hdim128_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // 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" #include "flash_fwd_launch_template.h"
// template<>
// void run_mha_fwd_<cutlass::bfloat16_t, 128>(Flash_fwd_params &params, cudaStream_t stream) {
// using elem_type = cutlass::bfloat16_t;
// if (params.p_dropout == 1.f) {
// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 64, 4, false, false, elem_type>, false>(params, stream);
// } else {
// run_flash_fwd<Flash_fwd_kernel_traits<128, 128, 32, 4, false, false, elem_type>, true>(params, stream);
// }
// }
template<> template<>
void run_mha_fwd_<cutlass::bfloat16_t, 128>(Flash_fwd_params &params, cudaStream_t stream) { void run_mha_fwd_<cutlass::bfloat16_t, 128>(Flash_fwd_params &params, cudaStream_t stream) {
run_mha_fwd_hdim128<cutlass::bfloat16_t>(params, stream); run_mha_fwd_hdim128<cutlass::bfloat16_t>(params, stream);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_fwd_hdim128_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // 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" #include "flash_fwd_launch_template.h"
// template<>
// void run_mha_fwd_<cutlass::half_t, 128>(Flash_fwd_params &params, 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<> template<>
void run_mha_fwd_<cutlass::half_t, 128>(Flash_fwd_params &params, cudaStream_t stream) { void run_mha_fwd_<cutlass::half_t, 128>(Flash_fwd_params &params, cudaStream_t stream) {
run_mha_fwd_hdim128<cutlass::half_t>(params, stream); run_mha_fwd_hdim128<cutlass::half_t>(params, stream);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_fwd_hdim160_bf16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // 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" #include "flash_fwd_launch_template.h"
// template<>
// void run_mha_fwd_<cutlass::bfloat16_t, 160>(Flash_fwd_params &params, cudaStream_t stream) {
// using elem_type = cutlass::bfloat16_t;
// BOOL_SWITCH(params.p_dropout < 1.f, Is_dropout, [&] {
// run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 32, 4, false, false, elem_type>, Is_dropout>(params, stream);
// });
// }
template<> template<>
void run_mha_fwd_<cutlass::bfloat16_t, 160>(Flash_fwd_params &params, cudaStream_t stream) { void run_mha_fwd_<cutlass::bfloat16_t, 160>(Flash_fwd_params &params, cudaStream_t stream) {
run_mha_fwd_hdim160<cutlass::bfloat16_t>(params, stream); run_mha_fwd_hdim160<cutlass::bfloat16_t>(params, stream);
} }
\ No newline at end of file
csrc/flash_attn/src/flash_fwd_hdim160_fp16_sm80.cu
View file @ 7a983df7
// Copyright (c) 2023, Tri Dao. // Copyright (c) 2023, Tri Dao.
// Splitting the different head dimensions to different files to speed up compilation. // 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" #include "flash_fwd_launch_template.h"
// template<>
// void run_mha_fwd_<cutlass::half_t, 160>(Flash_fwd_params &params, cudaStream_t stream) {
// using elem_type = cutlass::half_t;
// BOOL_SWITCH(params.p_dropout < 1.f, Is_dropout, [&] {
// run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 32, 4, false, false, elem_type>, Is_dropout>(params, stream);
// run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 32, 4, false, true, elem_type>, Is_dropout>(params, stream);
// run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 64, 4, false, false, elem_type>, Is_dropout>(params, stream);
// run_flash_fwd<Flash_fwd_kernel_traits<160, 64, 64, 4, false, false, elem_type>, Is_dropout>(params, stream);
// // run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 64, 4, false, elem_type>>(params, stream);
// // run_flash_fwd<Flash_fwd_kernel_traits<160, 64, 128, 4, false, elem_type>>(params, stream);
// // run_flash_fwd<Flash_fwd_kernel_traits<160, 64, 64, 4, false, elem_type>>(params, stream);
// // run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 64, 8, false, elem_type>>(params, stream);
// // run_flash_fwd<Flash_fwd_kernel_traits<160, 128, 128, 8, false, elem_type>>(params, stream);
// // For A6000, no-causal, 1st is fastest. causal, 4th is fastest.
// // For A100, H100, 1st is fastest.
// });
// }
template<> template<>
void run_mha_fwd_<cutlass::half_t, 160>(Flash_fwd_params &params, cudaStream_t stream) { void run_mha_fwd_<cutlass::half_t, 160>(Flash_fwd_params &params, cudaStream_t stream) {
run_mha_fwd_hdim160<cutlass::half_t>(params, stream); run_mha_fwd_hdim160<cutlass::half_t>(params, stream);
} }
\ No newline at end of file
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