/* * Copyright (c) 2019-2023, 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/cudaUtils.h" #include "tensorrt_llm/kernels/unfusedAttentionKernels.h" #include #include #include namespace tensorrt_llm { namespace kernels { struct mlaMetaParams { int32_t q_lora_rank; int32_t kv_lora_rank; int32_t qk_nope_head_dim; int32_t qk_rope_head_dim; int32_t v_head_dim; }; template struct mlaParams { T const* fused_a_input; // [b, s, c_q + c_k + r] T* attention_input_buf; // [b, s, 3, h, d_h + r] T* context_buf; T const* fused_q_proj; // [c_k + r, d] T const* q_b_proj; // [(d_h + r) * h, c_q] T const* kv_b_proj; // [h * d_h * 2, c_k] float2 const* cos_sin_cache; // [s, rope] int32_t batch_size; int32_t acc_q_len; int32_t head_num; // h void* workspace; int32_t const* cache_seq_lens; int* seqQOffset; uint32_t* fmha_tile_counter; int32_t max_input_seq_len; int* cu_q_seqlens; int* cu_kv_seqlens; mlaMetaParams meta; }; template void invokeMLARopeContext(mlaParams& params, KVCacheBuffer kv_cache_buffer, cudaStream_t stream); template void invokeMLARopeGeneration(mlaParams& params, KVCacheBuffer kv_cache_buffer, cudaStream_t stream); } // namespace kernels } // namespace tensorrt_llm