Engine: native presets K and M in the D3D12 shim, wider game coverage
A standalone Vulkan inference engine (engine/) for DLSS presets K and M that runs from weights extracted from the user's own nvngx_dlss.dll, with d4r's own input, network and reconstruction shaders or the native HIP network layers, recorded into the game's command list by the shim. Opt-in ([Engine] Enabled / D4R_ENGINE=1); anything uncovered falls back to the CUDA/ZLUDA path with the reason logged. Byte-identical to NGX's CUDA backend under the phase-capable reference (1706x960 -> 2560x1440, native HIP network, eleven frames, RX 9070 XT): - K render- and display-resolution motion vectors, HDR and LDR - K game-supplied exposure and automatic exposure with any pre-exposure and exposure scale (one residual: effective exposure exactly 2 or 4) - K and M with the DLSS indicator's inverted-axis parameters - M with any exposure settings (NGX ignores them for M) K packages need the current compile_k.py (marker D4RO0003). Also: HIP shared buffers are pooled across feature recreation (ROCm leaks destroyed imports), hipnet.bin must match the preset, M-only games do not load the K model, install_d4r_runtime.sh stages k, k-ldr, m, m-ldr with hip/, the activation table has a generator (gen_activation_m.py), and package_release.sh can bundle the engine's shaders (never its weights). Signed-off-by: woutermans <[email protected]>
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@@ -12,6 +12,9 @@ class FrameCompletionTests(unittest.TestCase):
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shim = (ROOT / 'tools/d4r_nvngx_shim.cpp').read_text()
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start = shim.index('static void release_split_frame(Feature* feature, uint32_t frame)\n{')
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end = shim.index('\nstatic void split_watchdog()', start)
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# release_split_frame signals through this helper, defined after the engine network's exports
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helper = shim.index('\nstatic VkResult signal_split_semaphore(Feature& feature, uint64_t value)\n{')
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helper = shim[helper:shim.index('\n}\n', helper) + 3]
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source = r'''
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#include "d4r_frame_completion.h"
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#include <cassert>
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@@ -25,7 +28,10 @@ struct Feature {
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D4rFrameCompletion splitCompletion;
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uint64_t splitSignalled = 0;
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int splitSemaphore = 1;
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bool engineNetTimeline = false; // the Vulkan timeline of this test, not the native network's
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int engineNet = 0;
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};
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static struct { int (*signalTimeline)(int, uint64_t) = nullptr; } g_engineNet;
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static uint64_t gpuTimeline = 0;
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static bool failSignal = false;
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static int signal(int, const VkSemaphoreSignalInfo* info) {
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@@ -36,7 +42,7 @@ static int signal(int, const VkSemaphoreSignalInfo* info) {
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}
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static struct { int device = 1; decltype(&signal) signalSemaphore = signal; } g_vk;
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static void logf(const char*, ...) {}
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''' + shim[start:end] + r'''
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''' + helper + shim[start:end] + r'''
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int main() {
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Feature feature;
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feature.splitCompletion.admit(1); // still running on the CUDA worker
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