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https://github.com/NVIDIA/TensorRT-LLM.git
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be9cd719f7
* Update TensorRT-LLM --------- Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Fabian Joswig <fjosw@users.noreply.github.com> Co-authored-by: Tayef Shah <tayefshah@gmail.com> Co-authored-by: lfz941 <linfanzai941@gmail.com>
67 lines
2.5 KiB
C++
67 lines
2.5 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/kernels/contextFusedMultiHeadAttention/fused_multihead_attention_common.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 tensorrt_llm
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{
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namespace kernels
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{
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename MaskInputDataType>
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struct PackedMaskParams
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{
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// The full mask input with shape [batchSize, maxQSeqLen, maxKvSeqLen].
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MaskInputDataType const* maskInput = nullptr;
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// The packed mask output with shape [numQTokens, maxKvSeqLen / 32].
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uint32_t* packedMask = nullptr;
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// The cumulative mask row offsets with shape [batchSize + 1].
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// Note the number of mask rows in each sequence needs to be padded to multiple of 128.
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int* cuMaskRows = 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 (used to construct the packed mask when full mask is not given).
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ContextAttentionMaskType attentionMaskType = ContextAttentionMaskType::PADDING;
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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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// The value to identify that the position is valid.
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MaskInputDataType validPosVal = MaskInputDataType(1.0f);
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename MaskInputDataType>
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void invokeBuildPackedMask(PackedMaskParams<MaskInputDataType> const& params, cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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