feat: add d4r inference engines and Windows parity tooling

Add native K/M/RR inference engines, HIP kernels, replay and validation
harnesses, and Windows DLSS setup and runtime support. Include GPU
profiling tools, build and packaging scripts, platform integration
patches, and implementation documentation.
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ayo committed 2026-10-16 08:54:47 -04:00
1 parent 25493b3198
commit 7c5d3c9157
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#include "gpu_target.h"
#include <cstdio>
int main(int argc, char** argv) {
using namespace d4r::diag;
try {
unsigned rejected = 0, objects = 0;
for (const auto& info : gpu_targets) {
const char* target = info.architecture;
require_gpu_target(target, target);
require_gpu_target(std::string(target) + ":xnack-:sramecc-", target);
for (const char* invalid : {"gfx1030", "gfx1104", "gfx1155", "gfx1170", "gfx12000", "gfx1202", "gfx1250", ""}) {
try { require_gpu_target(invalid, target); }
catch (const std::exception&) { ++rejected; continue; }
throw std::runtime_error("Invalid GPU target accepted");
}
}
for (int i = 1; i < argc; ++i) {
require_code_object_target(argv[i], D4R_TARGET_ARCH);
const auto other = std::string(D4R_TARGET_ARCH) == "gfx1201" ? "gfx1200" : "gfx1201";
try { require_code_object_target(argv[i], other); }
catch (const std::exception&) { ++rejected; ++objects; continue; }
throw std::runtime_error("Wrong code-object target accepted");
}
if (!objects) throw std::runtime_error("Supply actual compiled code objects");
std::printf("PASS GPU_TARGET_CONTRACT target=%s objects=%u rejected=%u hardware_executed=0\n",
D4R_TARGET_ARCH, objects, rejected);
return 0;
} catch (const std::exception& e) {
std::fprintf(stderr, "FAIL GPU_TARGET_CONTRACT %s\n", e.what()); return 5;
}
}