TensorRT-LLMs/cpp/tensorrt_llm/executor/response.cpp
2025-03-11 21:13:42 +08:00

81 lines
2.0 KiB
C++

/*
* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* 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.
*/
#include "tensorrt_llm/executor/executor.h"
#include "tensorrt_llm/executor/responseImpl.h"
#include "tensorrt_llm/executor/types.h"
namespace tensorrt_llm::executor
{
Response::Response(IdType requestId, std::string errorMsg, std::optional<IdType> clientId)
: mImpl(std::make_unique<Impl>(requestId, std::move(errorMsg), clientId))
{
}
Response::Response(IdType requestId, Result Result, std::optional<IdType> clientId)
: mImpl(std::make_unique<Impl>(requestId, std::move(Result), clientId))
{
}
Response::~Response() = default;
Response::Response(Response const& other)
: mImpl(std::make_unique<Impl>(*other.mImpl))
{
}
Response::Response(Response&& other) noexcept = default;
Response& Response::operator=(Response const& other)
{
if (this != &other)
{
mImpl = std::make_unique<Impl>(*other.mImpl);
}
return *this;
}
Response& Response::operator=(Response&& other) noexcept = default;
bool Response::hasError() const
{
return mImpl->hasError();
}
std::string const& Response::getErrorMsg() const
{
return mImpl->getErrorMsg();
}
IdType Response::getRequestId() const
{
return mImpl->getRequestId();
}
std::optional<IdType> Response::getClientId() const
{
return mImpl->getClientId();
}
Result const& Response::getResult() const
{
return mImpl->getResult();
}
} // namespace tensorrt_llm::executor