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66 lines
2.0 KiB
C++
66 lines
2.0 KiB
C++
/*
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* Copyright (c) 1993-2022, 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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#ifndef TENSORRT_SAFE_COMMON_H
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#define TENSORRT_SAFE_COMMON_H
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#include "NvInferRuntimeCommon.h"
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#include <cstdlib>
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#include <iostream>
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#include <memory>
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#include <stdexcept>
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#include <string>
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#define CHECK(status) \
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do { \
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auto ret = (status); \
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if (ret != 0) { \
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std::cerr << "Cuda failure: " << ret << std::endl; \
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abort(); \
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} \
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} while (0)
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namespace samplesCommon {
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template <typename T> inline std::shared_ptr<T> infer_object(T* obj) {
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if (!obj) {
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throw std::runtime_error("Failed to create object");
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}
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return std::shared_ptr<T>(obj);
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}
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inline uint32_t elementSize(nvinfer1::DataType t) {
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switch (t) {
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case nvinfer1::DataType::kINT32:
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case nvinfer1::DataType::kFLOAT:
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return 4;
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case nvinfer1::DataType::kHALF:
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return 2;
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case nvinfer1::DataType::kINT8:
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return 1;
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case nvinfer1::DataType::kBOOL:
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return 1;
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}
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return 0;
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}
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template <typename A, typename B> inline A divUp(A x, B n) {
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return (x + n - 1) / n;
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}
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} // namespace samplesCommon
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#endif // TENSORRT_SAFE_COMMON_H
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