/**  * Copyright (c) 2025 Huawei Technologies Co., Ltd.  * This program is free software, you can redistribute it and/or modify it under the terms and conditions of  * CANN Open Software License Agreement Version 2.0 (the "License").  * Please refer to the License for details. You may not use this file except in compliance with the License.  * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,  * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.  * See LICENSE in the root of the software repository for the full text of the License.  */ /*! * \file lightning_indexer_tiling.cpp * \brief */ #include "lightning_indexer_tiling.h" #include "../op_kernel/lightning_indexer_template_tiling_key.h" using namespace ge; using namespace AscendC; using std::map; using std::string; namespace optiling { // --------------------------LIInfoParser类成员函数定义------------------------------------- ge::graphStatus LIInfoParser::CheckRequiredInOutExistence() const { OP_CHECK_IF(opParamInfo_.query.shape == nullptr, OP_LOGE(opName_, "Shape of tensor query is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.query.desc == nullptr, OP_LOGE(opName_, "Desc of tensor query is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.key.shape == nullptr, OP_LOGE(opName_, "Shape of tensor k is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.key.desc == nullptr, OP_LOGE(opName_, "Desc of tensor k is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.weights.shape == nullptr, OP_LOGE(opName_, "Shape of tensor value is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.weights.desc == nullptr, OP_LOGE(opName_, "Desc of tensor value is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.attenOut.shape == nullptr, OP_LOGE(opName_, "Shape of tensor output is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.attenOut.desc == nullptr, OP_LOGE(opName_, "Desc of tensor output is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.valuesOut.shape == nullptr, OP_LOGE(opName_, "Shape of tensor output values is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.valuesOut.desc == nullptr, OP_LOGE(opName_, "Desc of tensor output values is nullptr"), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::CheckRequiredAttrExistence() const { OP_CHECK_IF(opParamInfo_.layOut == nullptr, OP_LOGE(opName_, "attr layout_query is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.layOutKey == nullptr, OP_LOGE(opName_, "attr layout_key is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.sparseCount == nullptr, OP_LOGE(opName_, "attr sparse_count is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.sparseMode == nullptr, OP_LOGE(opName_, "attr sparse_mode is nullptr"), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::CheckRequiredParaExistence() const { if (CheckRequiredInOutExistence() != ge::GRAPH_SUCCESS || CheckRequiredAttrExistence() != ge::GRAPH_SUCCESS) { return ge::GRAPH_FAILED; } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetOpName() { if (context_->GetNodeName() == nullptr) { OP_LOGE("LightningIndexer", "opName got from TilingContext is nullptr"); return ge::GRAPH_FAILED; } opName_ = context_->GetNodeName(); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetNpuInfo() { platformInfo_ = context_->GetPlatformInfo(); OP_CHECK_IF(platformInfo_ == nullptr, OP_LOGE(opName_, "GetPlatformInfo is nullptr."), return ge::GRAPH_FAILED); auto ascendcPlatform = platform_ascendc::PlatformAscendC(platformInfo_); uint32_t aivNum = ascendcPlatform.GetCoreNumAiv(); uint32_t aicNum = ascendcPlatform.GetCoreNumAic(); OP_CHECK_IF(aicNum == 0 || aivNum == 0, OP_LOGE(opName_, "num of core obtained is 0."), return GRAPH_FAILED); socVersion_ = ascendcPlatform.GetSocVersion(); if ((socVersion_ != platform_ascendc::SocVersion::ASCEND910B) && (socVersion_ != platform_ascendc::SocVersion::ASCEND910_93) && (socVersion_ != platform_ascendc::SocVersion::ASCEND950)) { OP_LOGE(opName_, "SOC Version[%d] is not support.", static_cast(socVersion_)); return GRAPH_FAILED; } OP_CHECK_IF(context_->GetWorkspaceSizes(1) == nullptr, OP_LOGE(opName_, "workSpaceSize got from ge is nullptr"), return ge::GRAPH_FAILED); OP_CHECK_IF(context_->GetRawTilingData() == nullptr, OP_LOGE(context_->GetNodeName(), "RawTilingData got from GE context is nullptr."), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } void LIInfoParser::GetOptionalInputParaInfo() { opParamInfo_.actualSeqLengthsQ.tensor = context_->GetOptionalInputTensor(ACTUAL_SEQ_Q_INDEX); opParamInfo_.actualSeqLengthsQ.desc = context_->GetOptionalInputDesc(ACTUAL_SEQ_Q_INDEX); opParamInfo_.actualSeqLengths.tensor = context_->GetOptionalInputTensor(ACTUAL_SEQ_K_INDEX); opParamInfo_.actualSeqLengths.desc = context_->GetOptionalInputDesc(ACTUAL_SEQ_K_INDEX); opParamInfo_.blockTable.tensor = context_->GetOptionalInputTensor(BLOCK_TABLE_INDEX); opParamInfo_.blockTable.desc = context_->GetOptionalInputDesc(BLOCK_TABLE_INDEX); } void LIInfoParser::GetInputParaInfo() { opParamInfo_.query.desc = context_->GetInputDesc(QUERY_INDEX); opParamInfo_.query.shape = context_->GetInputShape(QUERY_INDEX); opParamInfo_.key.desc = context_->GetInputDesc(KEY_INDEX); opParamInfo_.key.shape = context_->GetInputShape(KEY_INDEX); opParamInfo_.weights.desc = context_->GetInputDesc(WEIGTHS_INDEX); opParamInfo_.weights.shape = context_->GetInputShape(WEIGTHS_INDEX); GetOptionalInputParaInfo(); } void LIInfoParser::GetOutputParaInfo() { opParamInfo_.attenOut.desc = context_->GetOutputDesc(LIGHTNING_INDEXER); opParamInfo_.attenOut.shape = context_->GetOutputShape(LIGHTNING_INDEXER); opParamInfo_.valuesOut.desc = context_->GetOutputDesc(LIGHTNING_VALUES); opParamInfo_.valuesOut.shape = context_->GetOutputShape(LIGHTNING_VALUES); } ge::graphStatus LIInfoParser::GetAndCheckAttrParaInfo() { auto attrs = context_->GetAttrs(); OP_CHECK_IF(attrs == nullptr, OPS_REPORT_VECTOR_INNER_ERR(context_->GetNodeName(), "attrs got from ge is nullptr"), return ge::GRAPH_FAILED); OP_LOGI(context_->GetNodeName(), "GetAndCheckAttrParaInfo start"); opParamInfo_.layOut = attrs->GetStr(ATTR_QUERY_LAYOUT_INDEX); opParamInfo_.layOutKey = attrs->GetStr(ATTR_KEY_LAYOUT_INDEX); opParamInfo_.sparseCount = attrs->GetAttrPointer(ATTR_SPARSE_COUNT_INDEX); opParamInfo_.sparseMode = attrs->GetAttrPointer(ATTR_SPARSE_MODE_INDEX); opParamInfo_.preTokens = attrs->GetAttrPointer(ATTR_PRE_TOKENS_INDEX); opParamInfo_.nextTokens = attrs->GetAttrPointer(ATTR_NEXT_TOKENS_INDEX); opParamInfo_.returnValue = attrs->GetAttrPointer(ATTR_RETURN_VALUE_INDEX); if (opParamInfo_.layOut != nullptr) { OP_LOGI(context_->GetNodeName(), "layout_query is:%s", opParamInfo_.layOut); } if (opParamInfo_.layOutKey != nullptr) { OP_LOGI(context_->GetNodeName(), "layout_key is:%s", opParamInfo_.layOutKey); } if (opParamInfo_.sparseCount != nullptr) { OP_LOGI(context_->GetNodeName(), "selscted count is:%d", *opParamInfo_.sparseCount); } if (opParamInfo_.sparseMode != nullptr) { OP_LOGI(context_->GetNodeName(), "sparse mode is:%d", *opParamInfo_.sparseMode); } if (opParamInfo_.preTokens != nullptr) { OP_LOGI(context_->GetNodeName(), "pre tokens is:%d", *opParamInfo_.preTokens); } if (opParamInfo_.nextTokens != nullptr) { OP_LOGI(context_->GetNodeName(), "next tokens is:%d", *opParamInfo_.nextTokens); } if (opParamInfo_.returnValue != nullptr) { OP_LOGI(context_->GetNodeName(), "return value is:%d", *opParamInfo_.returnValue); } OP_LOGI(context_->GetNodeName(), "GetAndCheckAttrParaInfo end"); OP_CHECK_IF( ((std::string(opParamInfo_.layOutKey) != "PA_BSND") && (std::string(opParamInfo_.layOut) != std::string(opParamInfo_.layOutKey))), OP_LOGE(opName_, "under non-PA conditions, layout_query and layout_key should be equal."), return ge::GRAPH_FAILED); OP_CHECK_IF( ((std::string(opParamInfo_.layOutKey) != "PA_BSND") && (std::string(opParamInfo_.layOutKey) != "BSND") && (std::string(opParamInfo_.layOutKey) != "TND")), OP_LOGE(opName_, "input attr layout_key only supported PA_BSND, BSND or TND"), return ge::GRAPH_FAILED); OP_CHECK_IF(((std::string(opParamInfo_.layOut) != "BSND") && (std::string(opParamInfo_.layOut) != "TND")), OP_LOGE(opName_, "input attr layout_query only supported BSND or TND."), return ge::GRAPH_FAILED); OP_CHECK_IF((!((*opParamInfo_.sparseCount > 0) && (*opParamInfo_.sparseCount <= SPARSE_LIMIT)) && *opParamInfo_.sparseCount % 1024 != 0), OP_LOGE(opName_, "input attr sparse_count must > 0 and <= 8192. And when sparse_count > 2048, sparse_count must be an integer multiple of 1024."), return ge::GRAPH_FAILED); OP_CHECK_IF(!((*opParamInfo_.sparseMode == 0) || (*opParamInfo_.sparseMode == SPARSE_MODE_LOWER)), OP_LOGE(opName_, "input attr sparse_mode only supported 0 or 3."), return ge::GRAPH_FAILED); OP_CHECK_IF(*opParamInfo_.preTokens != INT64_MAX, OP_LOGE(opName_, "input attr pre_tokens only supported INT64_MAX."), return ge::GRAPH_FAILED); OP_CHECK_IF(*opParamInfo_.nextTokens != INT64_MAX, OP_LOGE(opName_, "input attr nextTokens only supported INT64_MAX."), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetOpParaInfo() { GetInputParaInfo(); GetOutputParaInfo(); if (ge::GRAPH_SUCCESS != GetAndCheckAttrParaInfo()) { return ge::GRAPH_FAILED; } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetAndCheckInOutDataType() { inputQType_ = opParamInfo_.query.desc->GetDataType(); inputKType_ = opParamInfo_.key.desc->GetDataType(); weightsType_ = opParamInfo_.weights.desc->GetDataType(); outputType_ = opParamInfo_.attenOut.desc->GetDataType(); valuesOutType_ = opParamInfo_.valuesOut.desc->GetDataType(); bool inDTypeAllEqual = (inputQType_ == inputKType_); OP_CHECK_IF(!inDTypeAllEqual, OP_LOGE(opName_, "The data types of the input query and key must be the same."), return ge::GRAPH_FAILED); OP_CHECK_IF(((inputQType_ != ge::DT_FLOAT16) && (inputQType_ != ge::DT_BF16)), OP_LOGE(opName_, "The data types of the input query, key must be float16 or bfloat16."), return ge::GRAPH_FAILED); if (socVersion_ == platform_ascendc::SocVersion::ASCEND950) { OP_CHECK_IF((inputQType_ != weightsType_), OP_LOGE(opName_, "The data types of the input query, key, and weights must be the same."), return ge::GRAPH_FAILED); } else { if (weightsType_ != ge::DT_FLOAT) { OP_CHECK_IF((inputQType_ != weightsType_), OP_LOGE(opName_, "The data types of the input query, key, and weights must be the same."), return ge::GRAPH_FAILED); } else { OP_CHECK_IF((weightsType_ != ge::DT_FLOAT), OP_LOGE(opName_, "The data types of the input weights must be float32."), return ge::GRAPH_FAILED); } } OP_CHECK_IF(outputType_ != ge::DT_INT32, OP_LOGE(opName_, "The data types of the output sparse_indices must be int32."), return ge::GRAPH_FAILED); OP_CHECK_IF(valuesOutType_ != inputQType_, OP_LOGE(opName_, "The data types of the output sparse_values must be same as inputQType."), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetQueryKeyAndOutLayout() { // 获取query,key的Layout基准值 const map layoutMap = { {"BSND", DataLayout::BSND}, {"TND", DataLayout::TND}, {"PA_BSND", DataLayout::BnBsND} }; std::string layout(opParamInfo_.layOut); auto it = layoutMap.find(layout); if (it != layoutMap.end()) { qLayout_ = it->second; } std::string layoutKey(opParamInfo_.layOutKey); auto itKey = layoutMap.find(layoutKey); if (itKey != layoutMap.end()) { kLayout_ = itKey->second; } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetAndCheckOptionalInput() { if (kLayout_ == DataLayout::BnBsND) { OP_CHECK_IF(opParamInfo_.blockTable.tensor == nullptr, OP_LOGE(opName_, "when layout_key is PA_BSND, input block_table must not be null"), return ge::GRAPH_FAILED); OP_CHECK_IF( opParamInfo_.actualSeqLengths.tensor == nullptr, OP_LOGE(opName_, "when layout_key is PA_BSND, input actual_seq_lengths_key must not be null"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.blockTable.desc->GetDataType() != ge::DT_INT32, OP_LOGE(opName_, "input block_table data type only support int32"), return ge::GRAPH_FAILED); } else if (kLayout_ == DataLayout::TND) { OP_CHECK_IF(opParamInfo_.actualSeqLengths.tensor == nullptr, OP_LOGE(opName_, "when layout_key is TND, input actual_seq_lengths_key must not be null"), return ge::GRAPH_FAILED); } OP_CHECK_IF(opParamInfo_.actualSeqLengths.tensor != nullptr && opParamInfo_.actualSeqLengths.desc->GetDataType() != ge::DT_INT32, OP_LOGE(opName_, "input actual_seq_lengths_key data type only support int32"), return ge::GRAPH_FAILED); OP_CHECK_IF(opParamInfo_.actualSeqLengths.tensor != nullptr && opParamInfo_.actualSeqLengths.desc->GetDataType() != ge::DT_INT32, OP_LOGE(opName_, "input actual_seq_lengths_key data type only support int32"), return ge::GRAPH_FAILED); if (qLayout_ == DataLayout::TND) { OP_CHECK_IF(opParamInfo_.actualSeqLengthsQ.tensor == nullptr, OP_LOGE(opName_, "when layout_query is TND, input actual_seq_lengths_query must not be null"), return ge::GRAPH_FAILED); } OP_CHECK_IF(opParamInfo_.actualSeqLengthsQ.tensor != nullptr && opParamInfo_.actualSeqLengthsQ.desc->GetDataType() != ge::DT_INT32, OP_LOGE(opName_, "input actual_seq_lengths_query data type only support int32"), return ge::GRAPH_FAILED); OP_CHECK_IF(kLayout_ != DataLayout::BnBsND && opParamInfo_.blockTable.tensor != nullptr, OP_LOGE(opName_, "when key layout is not PA_BSND, input block_table must be null"), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::CheckShapeDim() { OP_CHECK_IF((opParamInfo_.blockTable.tensor != nullptr) && (opParamInfo_.blockTable.tensor->GetStorageShape().GetDimNum() != DIM_NUM_TWO), OP_LOGE(opName_, "the dim num of block_table's shape should be 2"), return ge::GRAPH_FAILED); uint32_t kShapeDim = opParamInfo_.key.shape->GetStorageShape().GetDimNum(); uint32_t qShapeDim = opParamInfo_.query.shape->GetStorageShape().GetDimNum(); uint32_t weightsShapeDim = opParamInfo_.weights.shape->GetStorageShape().GetDimNum(); uint32_t outShapeDim = opParamInfo_.attenOut.shape->GetStorageShape().GetDimNum(); uint32_t valuesOutShapeDim = opParamInfo_.valuesOut.shape->GetStorageShape().GetDimNum(); uint32_t qExpectShapeDim = DIM_NUM_FOUR; uint32_t kExpectShapeDim = DIM_NUM_FOUR; if (qLayout_ == DataLayout::TND) { qExpectShapeDim = DIM_NUM_THREE; } if (kLayout_ == DataLayout::TND) { kExpectShapeDim = DIM_NUM_THREE; } OP_CHECK_IF(kShapeDim != kExpectShapeDim, OP_LOGE(opName_, "the dim num of key's shape should be %u, but now is %u", kExpectShapeDim, kShapeDim), return ge::GRAPH_FAILED); OP_CHECK_IF(qShapeDim != qExpectShapeDim, OP_LOGE(opName_, "the dim num of query's shape should be %u, but now is %u", qExpectShapeDim, qShapeDim), return ge::GRAPH_FAILED); OP_CHECK_IF(outShapeDim != qExpectShapeDim, OP_LOGE(opName_, "the dim num of sparse_indices's shape should be %u, but now is %u", qExpectShapeDim, outShapeDim), return ge::GRAPH_FAILED); OP_CHECK_IF(valuesOutShapeDim != qExpectShapeDim && (*opParamInfo_.returnValue), OP_LOGE(opName_, "the dim num of sparse_values's shape should be %u, but now is %u", qExpectShapeDim, valuesOutShapeDim), return ge::GRAPH_FAILED); OP_CHECK_IF(!(weightsShapeDim == qExpectShapeDim - 1), OP_LOGE(opName_, "the dim num of weights's shape should be %u, but now is %u", qExpectShapeDim - 1, weightsShapeDim), return ge::GRAPH_FAILED); if (opParamInfo_.valuesOut.shape->GetStorageShape().GetShapeSize() != 0 && !(*opParamInfo_.returnValue)) { OP_LOGW(opName_, "when returnValue is false, valuesOut must be null."); } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetN1Size() { if (qLayout_ == DataLayout::BSND) { n1Size_ = static_cast(opParamInfo_.query.shape->GetStorageShape().GetDim(DIM_IDX_TWO)); } else { // TND n1Size_ = static_cast(opParamInfo_.query.shape->GetStorageShape().GetDim(1)); } OP_LOGI(context_->GetNodeName(), "n1Size is %d", n1Size_); OP_CHECK_IF(n1Size_ > QUERY_HEAD_NUM_LIMIT, OP_LOGE(opName_, "N1 is %u, but N1 must be no greater than %u.", n1Size_, QUERY_HEAD_NUM_LIMIT), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetActualSeqLenSize(uint32_t &size, const gert::Tensor *tensor, const std::string &actualSeqLenName) const { size = static_cast(tensor->GetShapeSize()); if (size <= 0) { OP_LOGE(opName_, "%s's shape size is %u, it should be greater than 0.", actualSeqLenName.c_str(), size); return ge::GRAPH_FAILED; } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetAndCheckN2Size() { uint32_t n2Index = (kLayout_ == DataLayout::TND) ? DIM_IDX_ONE : DIM_IDX_TWO; n2Size_ = static_cast(opParamInfo_.key.shape->GetStorageShape().GetDim(n2Index)); OP_LOGI(context_->GetNodeName(), "n2Size_ is %d", n2Size_); OP_CHECK_IF(n2Size_ != 1, OP_LOGE(opName_, "key shape[%u] is numhead, only support 1.", n2Index), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetGSize() { if (n1Size_ % n2Size_ != 0) { OP_LOGE(opName_, "input query's head_num %u can not be a multiple of key's head_num %u.", n1Size_, n2Size_); return ge::GRAPH_FAILED; } gSize_ = n1Size_ / n2Size_; return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetBatchSize() { // 获取B基准值 // 1、非TND/NTD时, 以query的batch_size维度为基准; // 2、TND/NTD时, actual_seq_lens_q必须传入, 以actual_seq_lens_q数组的长度为B轴大小 if ((qLayout_ == DataLayout::TND)) { return GetActualSeqLenSize(bSize_, opParamInfo_.actualSeqLengthsQ.tensor, "input actual_seq_lengths_query"); } else { // BSND bSize_ = opParamInfo_.query.shape->GetStorageShape().GetDim(0); return ge::GRAPH_SUCCESS; } } ge::graphStatus LIInfoParser::GetHeadDim() { // 以query的D维度为基准 uint32_t dIndex = DIM_IDX_TWO; // 根据layout确定D维度在shape中的位置 switch (qLayout_) { case DataLayout::TND: // TND格式: [Total, N, D] -> D是第2维(索引2) dIndex = DIM_IDX_TWO; break; case DataLayout::BSND: // BSND格式: [Batch, SeqLen, N, D] -> D是第3维(索引3) dIndex = DIM_IDX_THREE; break; default: OP_LOGE(opName_, "unsupported layout for getting head dim."); return ge::GRAPH_FAILED; } headDim_ = opParamInfo_.query.shape->GetStorageShape().GetDim(dIndex); OP_CHECK_IF(headDim_ != HEAD_DIM_LIMIT, OP_LOGE(opName_, "input query's last dim head_dim only support 128."), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetS1Size() { if (qLayout_ == DataLayout::BSND) { s1Size_ = opParamInfo_.query.shape->GetStorageShape().GetDim(1); } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetAndCheckBlockSize() { blockSize_ = static_cast(opParamInfo_.key.shape->GetStorageShape().GetDim(1)); OP_LOGI(context_->GetNodeName(), "blockSize_ is %d", blockSize_); OP_CHECK_IF(((blockSize_ % 16 != 0) || (blockSize_ == 0) || (blockSize_ > 1024)), OP_LOGE(opName_, "input key's block_size must be a multiple of 16 and belong to (0, 1024]."), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::CheckBlockCount() { int32_t blockCount_ = static_cast(opParamInfo_.key.shape->GetStorageShape().GetDim(0)); OP_CHECK_IF((blockCount_ == 0), OP_LOGE(opName_, "input key's block_count cannot be 0."), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetS2SizeForPageAttention() { if (GetAndCheckBlockSize() != ge::GRAPH_SUCCESS) { return ge::GRAPH_FAILED; } if (CheckBlockCount() != ge::GRAPH_SUCCESS) { return ge::GRAPH_FAILED; } maxBlockNumPerBatch_ = opParamInfo_.blockTable.tensor->GetStorageShape().GetDim(1); s2Size_ = maxBlockNumPerBatch_ * blockSize_; OP_LOGI(context_->GetNodeName(), "maxBlockNumPerBatch_ is %d, blockSize_ is %d, s2Size_ is %d", maxBlockNumPerBatch_, blockSize_, s2Size_); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::GetS2Size() { // 获取S2基准值 // 1、BATCH_CONTINUOUS时, 从key的S轴获取 // 3、PAGE_ATTENTION时, S2 = block_table.dim1 * block_size if (kLayout_ == DataLayout::BnBsND) { return GetS2SizeForPageAttention(); } else if (kLayout_ == DataLayout::TND) { s2Size_ = opParamInfo_.key.shape->GetStorageShape().GetDim(0); } else if (kLayout_ == DataLayout::BSND) { s2Size_ = opParamInfo_.key.shape->GetStorageShape().GetDim(1); } return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::ValidateInputShapesMatchQtnd() { // -----------------------check BatchSize------------------- // bSize_ 来源于act_seq_q if (kLayout_ == DataLayout::TND) { OP_CHECK_IF( (opParamInfo_.actualSeqLengths.tensor->GetShapeSize() != bSize_), OP_LOGE(opName_, "TND case input actual_seq_lengths_query, actual_seq_lengths_key are %u, %ld respectively, they must be same.", bSize_, opParamInfo_.actualSeqLengths.tensor->GetShapeSize()), return ge::GRAPH_FAILED); } else { // kLayout_ PA_BSND OP_CHECK_IF( (opParamInfo_.actualSeqLengths.tensor->GetShapeSize() != bSize_) || (opParamInfo_.blockTable.tensor->GetStorageShape().GetDim(0) != bSize_), OP_LOGE( opName_, "TND case input actual_seq_lengths_query, actual_seq_lengths_key, block_table dim 0 are %u, %ld, %ld respectively, they must be same.", bSize_, opParamInfo_.actualSeqLengths.tensor->GetShapeSize(), opParamInfo_.blockTable.tensor->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); } // -----------------------check T------------------- uint32_t qTsize = opParamInfo_.query.shape->GetStorageShape().GetDim(0); OP_CHECK_IF((opParamInfo_.weights.shape->GetStorageShape().GetDim(0) != qTsize) || (opParamInfo_.attenOut.shape->GetStorageShape().GetDim(0) != qTsize), OP_LOGE(opName_, "TND case input query, weights and sparse_indices dim 0 are %u, %ld, %ld respectively, they must be same.", qTsize, opParamInfo_.weights.shape->GetStorageShape().GetDim(0), opParamInfo_.attenOut.shape->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(0) != qTsize && (*opParamInfo_.returnValue)), OP_LOGE(opName_, "TND case input query and sparse_values dim 0 are %u, %ld respectively, they must be same.", qTsize, opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::ValidateInputShapesMatchQbsnd() { // -----------------------check BatchSize------------------- // bSize_ 来源于query if (kLayout_ == DataLayout::BnBsND) { OP_CHECK_IF((opParamInfo_.blockTable.tensor->GetStorageShape().GetDim(0) != bSize_) || (opParamInfo_.actualSeqLengths.tensor->GetShapeSize() != bSize_), OP_LOGE(opName_, "BSND case input query, actual_seq_lengths_key, block_table dim 0 are %u, %ld, %ld respectively, they must be same.", bSize_, opParamInfo_.actualSeqLengths.tensor->GetShapeSize(), opParamInfo_.blockTable.tensor->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); } else if (kLayout_ == DataLayout::BSND) { OP_CHECK_IF(opParamInfo_.key.shape->GetStorageShape().GetDim(0) != bSize_, OP_LOGE(opName_, "BSND case input query, key dim 0 are %u, %ld respectively, they must be same.", bSize_, opParamInfo_.key.shape->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.actualSeqLengths.tensor != nullptr) && (opParamInfo_.actualSeqLengths.tensor->GetShapeSize() != bSize_), OP_LOGE(opName_, "BSND case input query, actual_seq_lengths_key dim 0 are %u, %ld respectively, they must be same.", bSize_, opParamInfo_.actualSeqLengths.tensor->GetShapeSize()), return ge::GRAPH_FAILED); } OP_CHECK_IF((opParamInfo_.weights.shape->GetStorageShape().GetDim(0) != bSize_) || (opParamInfo_.attenOut.shape->GetStorageShape().GetDim(0) != bSize_), OP_LOGE(opName_, "BSND case input query, weight and sparse_indices dim 0 are %u, %ld, %ld respectively, they must be same.", bSize_, opParamInfo_.weights.shape->GetStorageShape().GetDim(0), opParamInfo_.attenOut.shape->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(0) != bSize_ && (*opParamInfo_.returnValue)), OP_LOGE(opName_, "BSND case input query, sparse_values dim 0 are %u, %ld respectively, they must be same.", bSize_, opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(0)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.actualSeqLengthsQ.tensor != nullptr) && (opParamInfo_.actualSeqLengthsQ.tensor->GetShapeSize() != bSize_), OP_LOGE(opName_, "BSND case input query, actual_seq_lengths_query dim 0 are %u, %ld respectively, they must be same", bSize_, opParamInfo_.actualSeqLengthsQ.tensor->GetShapeSize()), return ge::GRAPH_FAILED); // -----------------------check S1------------------- OP_CHECK_IF((opParamInfo_.weights.shape->GetStorageShape().GetDim(1) != s1Size_) || (opParamInfo_.attenOut.shape->GetStorageShape().GetDim(1) != s1Size_), OP_LOGE(opName_, "BSND case input query, weight and sparse_indices dim 1 are %u, %ld, %ld, they must be same.", s1Size_, opParamInfo_.weights.shape->GetStorageShape().GetDim(1), opParamInfo_.attenOut.shape->GetStorageShape().GetDim(1)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(1) != s1Size_ && (*opParamInfo_.returnValue)), OP_LOGE(opName_, "BSND case input query and sparse_values dim 1 are %u, %ld, they must be same.", s1Size_, opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(1)), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } ge::graphStatus LIInfoParser::ValidateInputShapesMatch() { /* TND: query [T,N1,D], key [BlockNum,BlockSize,N2,D], weight [T,N1], block_table [BatchSize, BatchMaxBlockNum], act_seq_k [BatchSize] act_seq_q [BatchSize], out [T,N2,topk] ---------------------- BSND: query [BatchSize,S1,N1,D], key [BlockNum,BlockSize,N2,D], weight [BatchSize,S1,N1], block_table [BatchSize, BatchMaxBlockNum], act_seq_k [BatchSize] act_seq_q [BatchSize] 可选 out [BatchSize,S1,N2,topk] */ uint32_t queryWeightsN1Dim = 1; uint32_t outN2Dim = 1; if (qLayout_ == DataLayout::TND) { if (ValidateInputShapesMatchQtnd() != ge::GRAPH_SUCCESS) { return ge::GRAPH_FAILED; } } else { // qLayout_ BSND if (ValidateInputShapesMatchQbsnd() != ge::GRAPH_SUCCESS) { return ge::GRAPH_FAILED; } queryWeightsN1Dim = DIM_IDX_TWO; outN2Dim = DIM_IDX_TWO; } // -----------------------check N1------------------- OP_CHECK_IF((opParamInfo_.weights.shape->GetStorageShape().GetDim(queryWeightsN1Dim) != n1Size_), OP_LOGE(opName_, "input query, weight shape dim N1 must be same."), return ge::GRAPH_FAILED); // -----------------------check D------------------- uint32_t keyDDim = kLayout_ == DataLayout::TND ? DIM_IDX_TWO : DIM_IDX_THREE; OP_CHECK_IF((opParamInfo_.key.shape->GetStorageShape().GetDim(keyDDim) != headDim_), OP_LOGE(opName_, "input query, key shape last dim must be same."), return ge::GRAPH_FAILED); // -----------------------check N2------------------- OP_CHECK_IF((opParamInfo_.attenOut.shape->GetStorageShape().GetDim(outN2Dim) != n2Size_), OP_LOGE(opName_, "input query and output sparse_indices shape n2 dim must be same," "but now they are %u, %ld respectively.", n2Size_, opParamInfo_.attenOut.shape->GetStorageShape().GetDim(outN2Dim)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(outN2Dim) != n2Size_ && (*opParamInfo_.returnValue)), OP_LOGE(opName_, "input query and sparse_values shape n2 dim must be same," "but now they are %u, %ld respectively.", n2Size_, opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(outN2Dim)), return ge::GRAPH_FAILED); // -----------------------check sparse_count------------------- OP_CHECK_IF((opParamInfo_.attenOut.shape->GetStorageShape().GetDim(outN2Dim + 1) != *opParamInfo_.sparseCount), OP_LOGE(opName_, "output sparse_indices shape last dim must be same as attr sparse_count," "but now they are %u, %ld respectively.", *opParamInfo_.sparseCount, opParamInfo_.attenOut.shape->GetStorageShape().GetDim(outN2Dim + 1)), return ge::GRAPH_FAILED); OP_CHECK_IF((opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(outN2Dim + 1) != *opParamInfo_.sparseCount && (*opParamInfo_.returnValue)), OP_LOGE(opName_, "output sparse_values shape last dim must be same as attr sparse_count," "but now they are %u, %ld respectively.", *opParamInfo_.sparseCount, opParamInfo_.valuesOut.shape->GetStorageShape().GetDim(outN2Dim + 1)), return ge::GRAPH_FAILED); return ge::GRAPH_SUCCESS; } void LIInfoParser::GenerateInfo(LITilingInfo &liInfo) { liInfo.opName = opName_; liInfo.platformInfo = platformInfo_; liInfo.opParamInfo = opParamInfo_; liInfo.socVersion = socVersion_; liInfo.bSize = bSize_; liInfo.n1Size = n1Size_; liInfo.n2Size = n2Size_; liInfo.s1Size = s1Size_; liInfo.s2Size = s2Size_; liInfo.gSize = gSize_; liInfo.inputQType = inputQType_; liInfo.inputKType = inputKType_; liInfo.weightsType = weightsType_; liInfo.outputType = outputType_; liInfo.blockSize = blockSize_; liInfo.maxBlockNumPerBatch = maxBlockNumPerBatch_; std::string layOutKeyStr(opParamInfo_.layOutKey); liInfo.pageAttentionFlag = layOutKeyStr == "PA_BSND" ? true : false; liInfo.sparseMode = *opParamInfo_.sparseMode; liInfo.sparseCount = *opParamInfo_.sparseCount; liInfo.preTokens = *opParamInfo_.preTokens; liInfo.nextTokens = *opParamInfo_.nextTokens; liInfo.returnValue = *opParamInfo_.returnValue; liInfo.inputQLayout = qLayout_; liInfo.inputKLayout = kLayout_; } ge::graphStatus LIInfoParser::ParseAndCheck(LITilingInfo &liInfo) { if (ge::GRAPH_SUCCESS != GetOpName() || ge::GRAPH_SUCCESS != GetNpuInfo() || ge::GRAPH_SUCCESS != GetOpParaInfo() || ge::GRAPH_SUCCESS != CheckRequiredParaExistence()) { return ge::GRAPH_FAILED; } if (ge::GRAPH_SUCCESS != GetAndCheckInOutDataType() || ge::GRAPH_SUCCESS != GetQueryKeyAndOutLayout() || ge::GRAPH_SUCCESS != GetAndCheckOptionalInput()) { return ge::GRAPH_FAILED; } if (ge::GRAPH_SUCCESS != CheckShapeDim() || ge::GRAPH_SUCCESS != GetN1Size() || ge::GRAPH_SUCCESS != GetAndCheckN2Size() || ge::GRAPH_SUCCESS != GetGSize()) { return ge::GRAPH_FAILED; } if (ge::GRAPH_SUCCESS != GetBatchSize() || ge::GRAPH_SUCCESS != GetS1Size() || ge::GRAPH_SUCCESS != GetHeadDim() || ge::GRAPH_SUCCESS != GetS2Size()) { return ge::GRAPH_FAILED; } if (ge::GRAPH_SUCCESS != ValidateInputShapesMatch()) { return ge::GRAPH_FAILED; } GenerateInfo(liInfo); return ge::GRAPH_SUCCESS; } // --------------------------TilingPrepare函数定义------------------------------------- static ge::graphStatus TilingPrepareForLightningIndexer(gert::TilingParseContext * /* context */) { return ge::GRAPH_SUCCESS; } // --------------------------LightningIndexerTiling类成员函数定义----------------------- ge::graphStatus LightningIndexerTiling::DoTiling(LITilingInfo *tilingInfo) { // -------------set blockdim----------------- auto ascendcPlatform = platform_ascendc::PlatformAscendC(tilingInfo->platformInfo); uint32_t aivNum = ascendcPlatform.GetCoreNumAiv(); uint32_t aicNum = ascendcPlatform.GetCoreNumAic(); uint32_t blockDim = ascendcPlatform.CalcTschBlockDim(aivNum, aicNum, aivNum); context_->SetBlockDim(blockDim); // -------------set workspacesize----------------- constexpr uint32_t MM1_RES_ELEM_SIZE = 4; // 4: fp32 constexpr uint32_t DOUBLE_BUFFER = 2; // 双Buffer constexpr uint32_t M_BASE_SIZE = 512; // m轴基本块大小 constexpr uint32_t S2_BASE_SIZE = 512; // S2轴基本块大小 constexpr uint32_t V1_RES_ELEM_SIZE = 4; // 4: int32 constexpr uint32_t V1_RES_ELEM_TYPE = 2; // 保留Index和Value 2种数据 constexpr uint32_t V1_DECODE_PARAM_ELEM_SIZE = 8; // 8: int64 constexpr uint32_t V1_DECODE_PARAM_NUM = 16; // Decode参数个数 constexpr uint32_t V1_DECODE_DATA_NUM = 2; // Decode每个核需要存储头和尾部两块数据 constexpr uint32_t S1_BASE_SIZE = 8; // S1轴基本块的大小 constexpr uint32_t TOPK_MAX_SIZE = 2048; // TopK选取个数 uint32_t workspaceSize = ascendcPlatform.GetLibApiWorkSpaceSize(); // 主流程需Workspace大小 if (ascendcPlatform.GetCurNpuArch() == NpuArch::DAV_3510) { constexpr uint32_t s1BaseSize = 4; constexpr uint32_t s2BaseSize = 128; workspaceSize += s1BaseSize * ((tilingInfo->s2Size + s2BaseSize - 1) / s2BaseSize) * s2BaseSize * sizeof(uint16_t) * aicNum; } else { constexpr uint32_t mm1ResSize = M_BASE_SIZE * S2_BASE_SIZE; workspaceSize += mm1ResSize * MM1_RES_ELEM_SIZE * DOUBLE_BUFFER * aicNum; // Decode流程(LD)需要Workspace大小 // 临时存储Decode中间结果大小: 2(头/尾)*8(s1Base)*2(idx/value)*2048(K)*sizeof(int32)*24=6M workspaceSize += V1_DECODE_DATA_NUM * S1_BASE_SIZE * V1_RES_ELEM_TYPE * TOPK_MAX_SIZE * V1_RES_ELEM_SIZE * aicNum; // 临时存储Decode中间参数信息大小: 2(头/尾)*8(s1Base)*16(paramNum)*sizeof(int64_t)*24=48k workspaceSize += V1_DECODE_DATA_NUM * S1_BASE_SIZE * V1_DECODE_PARAM_NUM * V1_DECODE_PARAM_ELEM_SIZE * aicNum; } size_t *workSpaces = context_->GetWorkspaceSizes(1); workSpaces[0] = workspaceSize; // -------------set tilingdata----------------- tilingData_.set_bSize(tilingInfo->bSize); tilingData_.set_s2Size(tilingInfo->s2Size); tilingData_.set_s1Size(tilingInfo->s1Size); tilingData_.set_sparseCount(tilingInfo->sparseCount); tilingData_.set_gSize(tilingInfo->gSize); tilingData_.set_blockSize(tilingInfo->blockSize); tilingData_.set_maxBlockNumPerBatch(tilingInfo->maxBlockNumPerBatch); tilingData_.set_sparseMode(tilingInfo->sparseMode); tilingData_.set_preTokens(tilingInfo->preTokens); tilingData_.set_nextTokens(tilingInfo->nextTokens); tilingData_.set_returnValue(tilingInfo->returnValue); tilingData_.set_usedCoreNum(blockDim); tilingData_.SaveToBuffer(context_->GetRawTilingData()->GetData(), context_->GetRawTilingData()->GetCapacity()); context_->GetRawTilingData()->SetDataSize(tilingData_.GetDataSize()); // -------------set tilingkey----------------- // int DT_W_FLAG, DT_Q, DT_KV, DT_OUT, PAGE_ATTENTION, FLASH_DECODE, LAYOUT_T, KV_LAYOUT_T uint32_t inputQType = static_cast(tilingInfo->inputQType); uint32_t inputKType = static_cast(tilingInfo->inputKType); uint32_t weightsType = static_cast(tilingInfo->weightsType); uint32_t outputType = static_cast(tilingInfo->outputType); uint32_t pageAttentionFlag = static_cast(tilingInfo->pageAttentionFlag); uint32_t inputQLayout = static_cast(tilingInfo->inputQLayout); uint32_t inputKLayout = static_cast(tilingInfo->inputKLayout); uint32_t weightTypeFlag = (weightsType == ge::DT_FLOAT) ? 1 : 0; uint64_t tilingKey = GET_TPL_TILING_KEY(inputQType, inputKType, outputType, pageAttentionFlag, inputQLayout, inputKLayout, weightTypeFlag); context_->SetTilingKey(tilingKey); context_->SetScheduleMode(1); // 1: batchmode模式 return ge::GRAPH_SUCCESS; } // --------------------------Tiling函数定义--------------------------- ge::graphStatus TilingForLightningIndexer(gert::TilingContext *context) { OP_CHECK_IF(context == nullptr, OPS_REPORT_VECTOR_INNER_ERR("LightningIndexer", "Tiling context is null."), return ge::GRAPH_FAILED); LITilingInfo liInfo; LIInfoParser LIInfoParser(context); if (LIInfoParser.ParseAndCheck(liInfo) != ge::GRAPH_SUCCESS) { return ge::GRAPH_FAILED; } LightningIndexerTiling liTiling(context); return liTiling.DoTiling(&liInfo); } // --------------------------Tiling函数及TilingPrepare函数注册-------- IMPL_OP_OPTILING(LightningIndexer) .Tiling(TilingForLightningIndexer) .TilingParse(TilingPrepareForLightningIndexer); } // namespace optiling