mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
aaacc9bd68
* Update TensorRT-LLM --------- Co-authored-by: Starrick Liu <73152103+StarrickLiu@users.noreply.github.com>
33 lines
1.2 KiB
C++
33 lines
1.2 KiB
C++
/*
|
|
* Copyright (c) 2022-2024, 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/runtime/bufferManager.h"
|
|
|
|
namespace tensorrt_llm::runtime::utils
|
|
{
|
|
|
|
template <typename T>
|
|
bool tensorHasInvalid(ITensor const& tensor, BufferManager const& manager, std::string const& infoStr);
|
|
|
|
bool tensorHasInvalid(
|
|
size_t M, size_t K, nvinfer1::DataType type, void const* data, cudaStream_t stream, std::string const& infoStr);
|
|
|
|
int stallStream(
|
|
char const* name, std::optional<cudaStream_t> stream = std::nullopt, std::optional<int> delay = std::nullopt);
|
|
|
|
} // namespace tensorrt_llm::runtime::utils
|