dedf08166a
Added 863 files from NVIDIA/cccl sparse checkout: - c2h/ (27 files): Catch2 test helpers — generators, validators, runner - nvbench_helper/ (10 files): Benchmark harness utilities - cmake/ (29 files): CMake presets and build helpers - cudax/ (794 files): Experimental CUDA extensions - AGENTS.md: NVIDIA's official AI agent instructions for CCCL - CMakePresets.json: Standardized build configurations - cccl-version.json: Version tracking Also added CCCL_ASSET_MAP.md mapping all 4295 CCCL files to competition value and PRD items. cccl_upstream now covers 100% of competition-critical assets: - 27 tuning headers (SM80/90/100 benchmark data) - 32 dispatch headers (algorithm implementations) - 60 Thrust examples (correctness verification) - 217 CUB Catch2 tests (regression matrix) - 153 CUB benchmarks (parameter space search) - 18 CUB examples (API verification) - 27 test helpers + benchmark harness - 794 cudax experimental extensions
39 lines
1.0 KiB
C++
39 lines
1.0 KiB
C++
// SPDX-FileCopyrightText: Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
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// SPDX-License-Identifier: BSD-3
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#pragma once
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//! @file
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//! This file includes implementation of CUDA-specific utilities for custom Catch2 main. When CMake is configured to
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//! include all the tests into a single executable, this file is only included into catch2_runner_helper.cu. When CMake
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//! is configured to compile each test as a separate binary, this file is included into each test.
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#include <iostream>
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int device_guard(int device_id)
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{
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int device_count{};
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if (cudaGetDeviceCount(&device_count) != cudaSuccess)
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{
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std::cerr << "Failed getting number of devices" << '\n';
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std::exit(-1);
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}
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if (device_id >= device_count || device_id < 0)
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{
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std::cerr << "Invalid device ID: " << device_id << '\n';
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std::exit(-1);
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}
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return device_id;
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}
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void set_device(int device_id)
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{
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if (cudaSetDevice(device_guard(device_id)) != cudaSuccess)
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{
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std::cerr << "Failed to set device ID: " << device_id << '\n';
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std::exit(-1);
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}
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}
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