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https://github.com/NVIDIA/TensorRT-LLM.git
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16d2467ea8
* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
70 lines
2.0 KiB
C++
70 lines
2.0 KiB
C++
/*
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* Copyright (c) 2019-2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/kernels/unfusedAttentionKernels.h"
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#include <assert.h>
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#include <cuda_fp16.h>
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#include <cuda_runtime.h>
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namespace tensorrt_llm
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{
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namespace kernels
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{
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struct mlaMetaParams
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{
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int32_t q_lora_rank = 0;
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int32_t kv_lora_rank = 0;
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int32_t qk_nope_head_dim = 0;
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int32_t qk_rope_head_dim = 0;
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int32_t v_head_dim = 0;
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};
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template <typename T>
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struct mlaParams
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{
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T const* fused_a_input; // [b, s, c_q + c_k + r]
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T* attention_input_buf; // [b, s, 3, h, d_h + r]
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T* context_buf;
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T const* fused_q_proj; // [c_k + r, d]
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T const* q_b_proj; // [(d_h + r) * h, c_q]
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T const* kv_b_proj; // [h * d_h * 2, c_k]
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float2 const* cos_sin_cache; // [s, rope]
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int32_t batch_size;
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int32_t acc_q_len;
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int32_t head_num; // h
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void* workspace;
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int32_t const* cache_seq_lens;
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int* seqQOffset;
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uint32_t* fmha_tile_counter;
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int32_t max_input_seq_len;
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int* cu_q_seqlens;
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int* cu_kv_seqlens;
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mlaMetaParams meta;
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};
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template <typename T, typename KVCacheBuffer>
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void invokeMLARopeContext(mlaParams<T>& params, KVCacheBuffer kv_cache_buffer, cudaStream_t stream);
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template <typename T, typename KVCacheBuffer>
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void invokeMLARopeGeneration(mlaParams<T>& params, KVCacheBuffer kv_cache_buffer, cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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