TensorRT-LLMs/cpp/include/tensorrt_llm/runtime/generationOutput.h
Kaiyu Xie f044eb8d94
Update TensorRT-LLM (#302)
* Update TensorRT-LLM

---------

Co-authored-by: wangruohui <12756472+wangruohui@users.noreply.github.com>
2023-11-07 19:51:58 +08:00

69 lines
2.1 KiB
C++

/*
* Copyright (c) 2022-2023, 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.
*/
#pragma once
#include "tensorrt_llm/common/cudaUtils.h"
#include "tensorrt_llm/runtime/common.h"
#include "tensorrt_llm/runtime/iTensor.h"
#include <functional>
#include <utility>
namespace tensorrt_llm::runtime
{
template <typename TTensor>
class GenericGenerationOutput
{
public:
using TensorPtr = TTensor;
using Callback = std::function<void(TensorPtr const& ids, SizeType step, bool finished)>;
explicit GenericGenerationOutput(TensorPtr ids, TensorPtr lengths)
: ids{std::move(ids)}
, lengths{std::move(lengths)}
{
TLLM_CHECK_WITH_INFO(static_cast<bool>(this->ids), "Invalid ids tensor");
TLLM_CHECK_WITH_INFO(static_cast<bool>(this->lengths), "Invalid lengths tensor");
}
// mandatory parameters
TensorPtr ids; // [batchSize, beamWidth, maxInputLength + maxNewTokens]
TensorPtr lengths; // [batchSize, beamWidth]
// optional parameters
TensorPtr logProbs; // [request_output_length, batch_size * beam_width], must be float*, on gpu
TensorPtr contextLogits; // [batch_size, max_input_length, vocab_size_padded]
// callbacks
Callback onTokenGenerated;
};
class GenerationOutput : public GenericGenerationOutput<ITensor::SharedPtr>
{
public:
using Base = GenericGenerationOutput<ITensor::SharedPtr>;
using TensorPtr = Base::TensorPtr;
explicit GenerationOutput(TensorPtr ids, TensorPtr lengths)
: GenericGenerationOutput(std::move(ids), std::move(lengths))
{
}
};
} // namespace tensorrt_llm::runtime