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https://github.com/NVIDIA/TensorRT-LLM.git
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70 lines
2.3 KiB
C++
70 lines
2.3 KiB
C++
/*
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* Copyright (c) 2022-2024, 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/config.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/kernels/gptKernels.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <cstdint>
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#include <cuda_fp16.h>
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#include <cuda_runtime.h>
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#include <sstream>
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namespace tc = tensorrt_llm::common;
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TRTLLM_NAMESPACE_BEGIN
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namespace kernels
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{
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename MaskDataType>
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struct AttentionMaskParams
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{
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// The attention mask's shape is [batchSize, maxQSeqLen, maxKvSeqLen] when cuQSeqLens is nullptr,
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// otherwise [batchSize, maxQSeqLen] is packed as numTokens.
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MaskDataType* mask = nullptr;
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// The cumulative sequence lengths of Q.
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int* cuQSeqLens = nullptr;
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// The actual q sequence lengths (used to create cuMaskRows).
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int const* actualQSeqLens = nullptr;
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// The actual kv sequence lengths (used to construct the packed mask when full mask is not given).
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int const* actualKvSeqLens = nullptr;
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// The attention mask type.
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AttentionMaskType attentionMaskType = AttentionMaskType::PADDING;
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// Params for block sparse pattern
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BlockSparseParams blockSparseParams;
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// The batch size.
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int batchSize;
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// The maximum q sequence length.
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int maxQSeqLen;
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// The maximum kv sequence length.
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int maxKvSeqLen;
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// The sliding window size.
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int slidingWindowSize;
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename MaskDataType>
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void invokeBuildAttentionMask(AttentionMaskParams<MaskDataType> const& params, cudaStream_t stream);
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} // namespace kernels
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TRTLLM_NAMESPACE_END
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