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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#pragma once
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#include <cstdint>
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#include <string>
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// Public NGX driver export ABI, also used by the upstream shim and OptiScaler.
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// NVIDIA SDK headers or binaries are not build dependencies.
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namespace d4r::ngx {
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struct PathListInfo { const wchar_t* const* Path; unsigned Length; };
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struct LoggingInfo { void* LoggingCallback; int MinimumLoggingLevel; bool DisableOtherLoggingSinks; };
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struct FeatureCommonInfo { PathListInfo PathListInfo; void* InternalData; LoggingInfo LoggingInfo; };
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struct ProjectDescription { const char* ProjectId; int EngineType; const char* EngineVersion; };
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struct ApplicationIdentifier {
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unsigned IdentifierType;
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union Value { ProjectDescription ProjectDesc; unsigned long long ApplicationId; } v;
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};
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struct FeatureDiscoveryInfo {
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unsigned SDKVersion, FeatureID;
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ApplicationIdentifier Identifier;
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const wchar_t* ApplicationDataPath;
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const FeatureCommonInfo* FeatureInfo;
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};
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struct FeatureRequirement { unsigned FeatureSupported, MinHWArchitecture; char MinOSVersion[255]; };
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struct ProjectIdentity { std::string id; int engine; std::string version; };
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static_assert(sizeof(FeatureCommonInfo) == 40 && sizeof(FeatureDiscoveryInfo) == 56 && sizeof(FeatureRequirement) == 264);
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}
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