TensorRT-LLMs/cpp/include/tensorrt_llm/runtime/speculativeDecodingModule.h
Kaiyu Xie db4edea1e1
Update TensorRT-LLM (#1763)
* Update TensorRT-LLM

---------

Co-authored-by: Kota Tsuyuzaki <bloodeagle40234@gmail.com>
Co-authored-by: Pzzzzz <hello-cd.plus@hotmail.com>
Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com>
2024-06-11 16:59:02 +08:00

112 lines
3.4 KiB
C++

/*
* Copyright (c) 2024, 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/runtime/common.h"
namespace tensorrt_llm::runtime
{
class SpeculativeDecodingModule
{
public:
explicit SpeculativeDecodingModule(
SizeType32 maxDraftPathLen, SizeType32 maxDecodingDraftTokens, SizeType32 maxNumPaths) noexcept
: mMaxDraftPathLen(maxDraftPathLen)
, mMaxDecodingDraftTokens(maxDecodingDraftTokens)
, mMaxNumPaths(maxNumPaths)
{
computeNumPackedMasks();
}
explicit SpeculativeDecodingModule() noexcept
: SpeculativeDecodingModule(0, 0, 0)
{
}
virtual ~SpeculativeDecodingModule() = default;
SpeculativeDecodingModule(SpeculativeDecodingModule const& o) = default;
SpeculativeDecodingModule& operator=(SpeculativeDecodingModule const& o) = default;
/// @return max number of draft tokens that can be accepted by one step of the decoder
[[nodiscard]] SizeType32 getMaxDraftPathLen() const noexcept
{
return mMaxDraftPathLen;
}
/// @return max number of tokens that a request can grow in one step of the decoder
/// @details one more than draft path len for prediction from primary head
[[nodiscard]] SizeType32 getMaxPathLen() const noexcept
{
return getMaxDraftPathLen() + 1;
}
/// @return max number of draft tokens processed by one step of the decoder
[[nodiscard]] SizeType32 getMaxDecodingDraftTokens() const noexcept
{
return mMaxDecodingDraftTokens;
}
/// @return max number of tokens processed by one step of the decoder
/// @details one more than decoding draft tokens for prediction from primary head
[[nodiscard]] SizeType32 getMaxDecodingTokens() const noexcept
{
return getMaxDecodingDraftTokens() + 1;
}
[[nodiscard]] SizeType32 getNumPackedMasks() const noexcept
{
return mMaxNumPackedMasks;
}
[[nodiscard]] SizeType32 getMaxNumPaths() const noexcept
{
return mMaxNumPaths;
}
void setMaxDraftTokens(SizeType32 maxDraftTokens) noexcept
{
mMaxDecodingDraftTokens = maxDraftTokens;
computeNumPackedMasks();
}
void setMaxDraftPathLen(SizeType32 maxDraftPathLen) noexcept
{
mMaxDraftPathLen = maxDraftPathLen;
}
void setMaxNumPaths(SizeType32 maxNumPaths) noexcept
{
mMaxNumPaths = maxNumPaths;
}
private:
void computeNumPackedMasks() noexcept
{
mMaxNumPackedMasks = tensorrt_llm::common::divUp(mMaxDecodingDraftTokens, 32);
}
private:
SizeType32 mMaxDraftPathLen; // max length per path (or ray/branch)
SizeType32 mMaxDecodingDraftTokens; // max combined length of all paths (or rays/branches)
SizeType32 mMaxNumPaths; // max number of paths (or rays/branches)
SizeType32 mMaxNumPackedMasks;
};
} // namespace tensorrt_llm::runtime