TensorRT-LLMs/cpp/tensorrt_llm/kernels/helixKernels.h
Balaram Buddharaju 2989bf5b39
[None][feat] Add new helix kernels for MNNVL-based codepath (#11433)
Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>
2026-02-14 09:39:24 +08:00

61 lines
1.7 KiB
C++

/*
* Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include "tensorrt_llm/common/config.h"
#include "tensorrt_llm/common/cudaUtils.h"
#include <cstdint>
#include <cuda_bf16.h>
#include <cuda_fp16.h>
#include <cuda_runtime.h>
TRTLLM_NAMESPACE_BEGIN
namespace kernels
{
template <typename T>
struct HelixPostProcParams
{
T* output;
T const* gathered_o;
float2 const* gathered_stats;
int cp_size;
int num_tokens;
int num_heads;
int kv_lora_rank;
};
template <typename T>
void helixPostProcess(HelixPostProcParams<T> const& params, cudaStream_t stream);
// Version 1: cp_dim=2 layout.
// gathered_o: [num_tokens, num_heads, cp_size, kv_lora_rank].
// gathered_stats: [num_tokens, num_heads, cp_size, 2].
template <typename T>
void helixPostProcessNativeV1(HelixPostProcParams<T> const& params, cudaStream_t stream);
// Version 2: cp_dim=1 layout.
// gathered_o: [num_tokens, cp_size, num_heads, kv_lora_rank].
// gathered_stats: [num_tokens, cp_size, num_heads, 2].
template <typename T>
void helixPostProcessNativeV2(HelixPostProcParams<T> const& params, cudaStream_t stream);
} // namespace kernels
TRTLLM_NAMESPACE_END