/* * Copyright (c) 2020-2023, 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. * * Common utils to be shared between Precompiled and JIT implementation. */ #include "tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQAImplCommon.h" namespace tensorrt_llm::kernels { uint32_t getKernelMTileSize(uint32_t headGrpSize, bool isSpecDec, uint32_t qSeqLen, bool isXqaJit) { if (!isSpecDec) { return headGrpSize; } if (isXqaJit) { return 64; } uint32_t const gemmM = qSeqLen * headGrpSize; return gemmM < 16 ? 16 : 32; } XQAKernelRuntimeHashKey getRuntimeHashKeyFromXQAParams(XQAParams const& xqaParams, bool isXqaJit) { unsigned int head_size = xqaParams.head_size; unsigned int num_q_heads = xqaParams.num_q_heads; unsigned int num_kv_heads = xqaParams.num_kv_heads; TLLM_CHECK_WITH_INFO(num_q_heads % num_kv_heads == 0, "numQHeads should be multiple of numKVHeads."); unsigned int num_q_heads_over_kv = num_q_heads / num_kv_heads; unsigned int beam_width = xqaParams.beam_width; // Use mTileSize = 16 kernels when qSeqLen <= 16. unsigned int qSeqLen = static_cast(xqaParams.generation_input_length); unsigned int mTileSize = qSeqLen <= 16 ? 16 : 32; // MultiQueryToken kernels can support any num_q_heads_over_kv that is power of 2. unsigned int kernel_num_q_heads_over_kv = xqaParams.multi_query_tokens ? 0 : num_q_heads_over_kv; // MultiQueryToken kernels can handle either 16/32 for M direction per CTA. unsigned int kernel_m_tilesize = getKernelMTileSize(num_q_heads_over_kv, xqaParams.multi_query_tokens, qSeqLen, isXqaJit); return {xqaParams.kv_cache_data_type, head_size, beam_width, kernel_num_q_heads_over_kv, kernel_m_tilesize, xqaParams.paged_kv_cache ? static_cast(xqaParams.tokens_per_block) : 0, xqaParams.paged_kv_cache, xqaParams.multi_query_tokens}; } } // namespace tensorrt_llm::kernels