[feat] enable jit_kernels to skip launch

[Alcanderian]

No description provided.

[LyricZhao]

Thanks for this! My only comment is to skip launching in LaunchRuntime::launch instead of making a macro and put it for every kernel.

[zhyncs]

LGTM and this works well on sgl-kernel. Please fix @LyricZhao's comment. Thanks!

[rainj-me]

@zhyncs @Alcanderian After diving deep to the sglang code and DeepGEMM code, I believe we tend to spread the logic from sglang to DeepGEMM.

1. From sglang source code, the ops need to WarmUp (compile) are

• fp8_gemm_nt
• m_grouped_fp8_gemm_nt_contiguous
• m_grouped_fp8_gemm_nt_masked

2. From DeepGEMM source code, these ops compiled dims are 'nk', which means the 'm' dim is set to 0 refer to code .
3. Base on 1 and 2, there is no reason to WarmUP m dim as a full range from 1-32k in code

[Alcanderian]

@zhyncs @Alcanderian After diving deep to the sglang code and DeepGEMM code, I believe we tend to spread the logic from sglang to DeepGEMM.

1. From sglang source code, the ops need to WarmUp (compile) are

• fp8_gemm_nt
• m_grouped_fp8_gemm_nt_contiguous
• m_grouped_fp8_gemm_nt_masked

2. From DeepGEMM source code, these ops compiled dims are 'nk', which means the 'm' dim is set to 0 refer to code .
3. Base on 1 and 2, there is no reason to WarmUP m dim as a full range from 1-32k in code

Actually, the reason we want to do warmup for the M=1-32K range is that the get_best_config function (

DeepGEMM/csrc/jit_kernels/heuristics/common.hpp

Line 145 in ea9c5d9

static GemmConfig get_best_config(const GemmType& gemm_type, const KernelType& kernel_type,

) determines tiling and some other strategies based on the value of M. Different ranges of M trigger the compilation of different kernels. If this compilation were to occur during the service process, it would cause stuttering.

[rainj-me]

@zhyncs @Alcanderian After diving deep to the sglang code and DeepGEMM code, I believe we tend to spread the logic from sglang to DeepGEMM.

1. From sglang source code, the ops need to WarmUp (compile) are

• fp8_gemm_nt
• m_grouped_fp8_gemm_nt_contiguous
• m_grouped_fp8_gemm_nt_masked

2. From DeepGEMM source code, these ops compiled dims are 'nk', which means the 'm' dim is set to 0 refer to code .
3. Base on 1 and 2, there is no reason to WarmUP m dim as a full range from 1-32k in code

Actually, the reason we want to do warmup for the M=1-32K range is that the get_best_config function (

DeepGEMM/csrc/jit_kernels/heuristics/common.hpp

Line 145 in ea9c5d9

static GemmConfig get_best_config(const GemmType& gemm_type, const KernelType& kernel_type,

) determines tiling and some other strategies based on the value of M. Different ranges of M trigger the compilation of different kernels. If this compilation were to occur during the service process, it would cause stuttering.

I get it, but from my testing the warm up only generate 1 kernel for 1-32k range with N K binding. Maybe there is some issue with the get_best_config result ?

[rainj-me]

Just run a test by printing out m,k,n with the code's hash and the combination is

~ grep 'hash:' result.log | awk -F',' '{print $2","$3","$4}' |sort -n |uniq
 n:2112, k:7168, hash:ff553c76cf29a593aa64d3978324b464
 n:6144, k:1536, hash:7fcb2cba293de06aed40e104a84329ed
 n:7168, k:4096, hash:cd6abf55b6918d860e44b6eda2227393
 n:7168, k:4608, hash:2162a9ac1ef3ec57bcb61026f14a22c1
 n:8192, k:512, hash:178c4989723bf2cf6b216774fe798a1f
 n:9216, k:7168, hash:d7b3bb3a047b35716ae4dc8a3f73b678

For original file, check the attachment result.log.

And the code diff to print out the result.log is

--- a/csrc/jit_kernels/impls/sm100_fp8_gemm_1d1d.hpp
+++ b/csrc/jit_kernels/impls/sm100_fp8_gemm_1d1d.hpp
@@ -8,6 +8,7 @@
 #include "../../utils/exception.hpp"
 #include "../../utils/format.hpp"
 #include "../../utils/math.hpp"
+#include "../../utils/hash.hpp"
 #include "../heuristics/sm100.hpp"
 #include "runtime_utils.hpp"
 
@@ -142,6 +143,7 @@ static void sm100_fp8_gemm_1d1d(const torch::Tensor& a, const torch::Tensor& sfa
         .tensor_map_d = tensor_map_d
     };
     const auto& code = SM100FP8Gemm1D1DRuntime::generate(args);
+    std::cout << fmt::format("m:{}, n:{}, k:{}, hash:{}", m, n, k, get_hex_digest(code)) << std::endl;
     const auto& runtime = compiler->build("sm100_fp8_gemm_1d1d", code);
     MAYBE_LAUNCH(SM100FP8Gemm1D1DRuntime::launch(runtime, args));
 }