[INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
This commit is contained in:
327
cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/nvrtcc.cpp
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327
cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/nvrtcc.cpp
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//===----------------------------------------------------------------------===//
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//
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// Part of libcu++, the C++ Standard Library for your entire system,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <algorithm>
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#include <cassert>
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#include <deque>
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#include <functional>
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#include <regex>
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#include <set>
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#include <string>
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#include <vector>
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#include <stdio.h>
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#include "nvrtcc_build.h"
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#include "nvrtcc_run.h"
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#include "utils/platform.h"
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ArgList nvrtcArguments;
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ArgList ignoredArguments;
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std::string outputDir;
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std::string outputFile;
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std::string inputFile;
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bool skipOutput = false;
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bool building = false;
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bool execute = false;
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ExecutionConfig executionConfig;
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enum ArgProcessorState
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{
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NORMAL,
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GREEDY,
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ABORT,
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};
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// Handlers may increment the iterator of the argument parser if they need multiple arguments
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// First argument is incrementable, last argument is the end of the list
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using ArgHandler = std::function<ArgProcessorState(const std::smatch&)>;
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using ArgPair = std::pair<std::regex, ArgHandler>;
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using ArgHandlerMap = std::vector<ArgPair>;
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int g_argc;
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char** g_argv;
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// Ignore PTX arch, only capture output version since PTX only compilation *must* be the same
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std::regex real_capture("^.*arch=.*,code=(sm_[0-9]+a?)$");
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std::regex virtual_capture("^.*arch=.*,code=(compute_[0-9]+a?)$");
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// Arch list is a set of unique pairs of strings and bools
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// e.x. { compute_arch, real_or_virtual }
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// { "sm_80", true } { "compute_80", false }
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using ArchList = std::set<ArchConfig>;
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ArchList buildList;
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// Input example: arch=compute_80,code=sm_80
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static ArchConfig translate_gpu_arch(const std::string& arch)
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{
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std::smatch real;
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std::smatch virt;
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std::regex_match(arch, real, real_capture);
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std::regex_match(arch, virt, virtual_capture);
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// Safe default of "compute_60" in case parsing fails
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ArchConfig config = (real.size()) ? ArchConfig{real[1].str(), true}
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: (virt.size()) ? ArchConfig{virt[1].str(), false}
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: ArchConfig{"compute_60", false};
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return config;
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}
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// Greedy handlers inform the argument processor to expect more arguments
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constexpr auto make_greedy_handler = [](char const* match) {
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return ArgPair{std::regex(match), [](const std::smatch&) {
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return GREEDY;
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}};
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};
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ArgPair argHandlers[] = {
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{// Forward all arguments to NVCC
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std::regex("^-c$"),
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[](const std::smatch&) {
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building = true;
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// We're compiling, maybe do something useful
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return NORMAL; // Unreachable
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}},
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{// Forward all arguments to NVCC
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std::regex("^-E$"),
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[](const std::smatch&) {
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platform_exec("nvcc", g_argv, g_argc);
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return ABORT; // Unreachable
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}},
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{// Greed input file type flag
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make_greedy_handler("^-x$")},
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{// Matches for CUDA input type
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std::regex("^-x ?cu$"),
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[](const std::smatch& match) {
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ignoredArguments.emplace_back(match[0].str());
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return NORMAL;
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}},
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{// Matches anything other than CUDA as the CUDA flag is captured before this one
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std::regex("^-x ?(.*)$"),
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[](const std::smatch&) {
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// If we're building with something else just add the default arch
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buildList.emplace(translate_gpu_arch(""));
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return NORMAL;
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}},
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{// The include flag is improperly formatted, greed append
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make_greedy_handler("^-I$")},
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{std::regex("^-I ?(.+)$"),
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[](const std::smatch& match) {
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nvrtcArguments.emplace_back(match[0].str());
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return NORMAL;
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}},
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{make_greedy_handler("^(-include|-isystem)$")},
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{// Matches any force include or system include directories
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// Might need to figure out if we need to force include a file manually
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std::regex("^-include ?(.+)$"),
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[](const std::smatch& match) {
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nvrtcArguments.emplace_back("--pre-include=" + match[1].str());
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return NORMAL;
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}},
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{make_greedy_handler("^-o$")},
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{// Matches '-o nul' which is used for syntax only testing (i.e. .fail.cpp tests)
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std::regex("^-o (?:.*?dev)?.*nul$"),
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[](const std::smatch&) {
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skipOutput = true;
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return NORMAL;
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}},
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{// Matches '-o object' and obtains the output directory
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// \\\\ skip C++ escape, and skip regex escape to match \ on Windows
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// The second match grouping catches the name sorta of the file. i.e. test.pass.cpp -> test.pass
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std::regex("^-o (.+)[\\\\/]([^\\\\/]+)\\..+$"),
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[](const std::smatch& match) {
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outputDir = match[1].str();
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outputFile = match[2].str();
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return NORMAL;
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}},
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{make_greedy_handler("^-gencode$")},
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{// Matches '-gencode=' or '-gencode ...'
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std::regex("^-gencode[= ]?(.+)$"),
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[](const std::smatch& match) {
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buildList.emplace(translate_gpu_arch(match[1].str().data()));
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return NORMAL;
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}},
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{// Matches the many various versions of dialect switch and normalizes it
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std::regex("^[-/]std[:=](.+)$"),
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[](const std::smatch& match) {
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nvrtcArguments.emplace_back("-std=" + match[1].str());
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return NORMAL;
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}},
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{// Matches -G/--device-debug
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std::regex("^(?:-G|--device-debug)$"),
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[](const std::smatch&) {
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nvrtcArguments.emplace_back("-G");
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return NORMAL;
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}},
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{// Matches --device-int128/-device-int128
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std::regex("^(?:--device-int128|-device-int128)$"),
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[](const std::smatch&) {
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nvrtcArguments.emplace_back("-device-int128");
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return NORMAL;
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}},
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#if CUDA_VERSION >= 12080
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{// Matches --device-float128/-device-float128
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std::regex("^(?:--device-float128|-device-float128)$"),
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[](const std::smatch&) {
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enable_float128 = true;
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return NORMAL;
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}},
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#endif // CUDA_VERSION >= 12080
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{// Matches -D
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std::regex("^-D.+$"),
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[](const std::smatch& match) {
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nvrtcArguments.emplace_back(match[0].str());
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return NORMAL;
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}},
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{// Capture an argument that is just '-'. If no input file is listed input is on stdin
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std::regex("^-$"),
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[](const std::smatch& match) {
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inputFile = match[0].str();
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return NORMAL;
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}},
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{// If an input lists a .gpu file, run that file instead
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std::regex("^([^-].*).gpu$"),
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[](const std::smatch& match) {
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execute = true;
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executionConfig = ExecutionConfig{RunConfig{1, 0}, {match[0].str()}};
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return NORMAL;
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}},
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{// If an input is a .exe file, search for other builds and run those
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std::regex("^([^-].*).exe$"),
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[](const std::smatch& match) {
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execute = true;
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executionConfig = load_execution_config_from_file(match[1].str() + ".build.yml");
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assert(executionConfig.builds.size());
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return NORMAL;
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}},
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{// Capture any argument not starting with '-' as the input file
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std::regex("^([^-].+)[\\\\/].+$"),
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[](const std::smatch& match) {
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inputFile = match[0].str();
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// Capture directory of input file as an include path
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nvrtcArguments.emplace_back("-I " + match[1].str());
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return NORMAL;
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}},
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{// Throw away remaining arguments
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std::regex("^-.+$"),
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[](const std::smatch& match) {
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ignoredArguments.emplace_back(match[0].str());
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return NORMAL;
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}},
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};
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int main(int argc, char** argv)
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{
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// Greedily take off first arg
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g_argc = argc - 1;
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g_argv = argv + 1;
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ArgProcessorState argState = NORMAL;
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// Start by parsing arguments and building the configuration
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std::string c_arg{};
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for (auto a = g_argv; a < g_argv + g_argc; a++)
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{
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// If the argument was greedy, we'll retry with an appended argument
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c_arg = (argState == GREEDY) ? c_arg + " " + *a : *a;
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for (auto& h : argHandlers)
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{
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auto& regex = h.first;
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auto& handler = h.second;
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std::smatch matches;
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std::regex_match(c_arg, matches, regex);
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if (matches.size())
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{
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argState = handler(matches);
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break;
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}
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}
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}
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fprintf(stderr, "NVRTCC Configuration:\r\n");
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fprintf(stderr, " Output dir: %s\r\n", outputDir.c_str());
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fprintf(stderr, " Output file: %s\r\n", outputFile.c_str());
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fprintf(stderr, " Input file: %s\r\n", inputFile.c_str());
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fprintf(stderr, " Building: %s\r\n", building ? "true" : "false");
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fprintf(stderr, " Skipping output: %s\r\n", skipOutput ? "true" : "false");
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fprintf(stderr, " Executing: %s\r\n", execute ? "true" : "false");
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// Load the input file and execute
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if (execute)
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{
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fprintf(
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stderr, "Executing %s with %i threads\r\n", executionConfig.builds[0].c_str(), executionConfig.rc.threadCount);
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load_and_run_gpu_code(executionConfig.builds[0], executionConfig.rc);
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fprintf(stderr, "Execution Passed\r\n");
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return 0;
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}
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// Linking exits and does nothing
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if (!building)
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{
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return 0;
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}
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// Rebuild the output file template based on the filename
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// Check for nul - do not write files
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std::string outputTemplate;
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if (outputDir.size() && outputFile.size())
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{
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outputTemplate = outputDir + "/" + outputFile;
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}
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else
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{
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outputTemplate = "temp";
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}
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// load input test file and prepend fakemain
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std::string testCu = program + load_input_file(inputFile);
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// Write any needed kernel launch data to file for later
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RunConfig runConfig = parse_run_config(testCu);
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nvrtcArguments.emplace_back("-DCCCL_ENABLE_ASSERTIONS");
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if (!skipOutput)
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{
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std::ofstream ostr(outputTemplate + ".build.yml");
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ostr << "cuda_thread_count: " << runConfig.threadCount << '\n';
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ostr << "cuda_block_shmem_size: " << runConfig.shmemSize << '\n';
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// Do a build for each arch and add it to the build list
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ostr << "builds:\n";
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for (const auto& build : buildList)
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{
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auto gpuCode = nvrtc_build_prog(testCu, build, nvrtcArguments);
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std::string gpuCodeFile = outputTemplate + "." + archString(build) + ".gpu";
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write_output_file(gpuCode.data(), gpuCode.size(), gpuCodeFile);
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ostr << " - ";
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ostr << '\'' << gpuCodeFile << '\'';
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ostr << '\n';
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}
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ostr.close();
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}
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else
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{
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for (const auto& build : buildList)
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{
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auto gpuCode = nvrtc_build_prog(testCu, build, nvrtcArguments);
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}
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}
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return 0;
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}
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