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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"""Completion/error contracts for the sleeping CUDA event wait (no GPU needed)."""
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from pathlib import Path
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import subprocess
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import tempfile
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import unittest
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ROOT = Path(__file__).resolve().parents[1]
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class EventWaitTests(unittest.TestCase):
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def test_completion_pending_and_error(self):
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source = r'''
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#include "d4r_event_wait.h"
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#include <cassert>
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int main() {
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int sleeps = 0, queries = 0;
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assert(d4r_wait_event([] { return 0; }, [&] { ++sleeps; }) == 0);
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assert(sleeps == 0);
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assert(d4r_wait_event([&] { return ++queries <= 7 ? 600 : 0; },
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[&] { ++sleeps; }) == 0);
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assert(queries == 8 && sleeps == 7);
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sleeps = 0;
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assert(d4r_wait_event([] { return 719; }, [&] { ++sleeps; }) == 719);
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assert(sleeps == 0);
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queries = 0;
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assert(d4r_wait_event([&] { return ++queries == 1 ? 600 : 700; },
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[&] { ++sleeps; }) == 700);
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assert(sleeps == 1);
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}
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'''
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with tempfile.TemporaryDirectory() as tmp:
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runner = Path(tmp) / "wait"
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subprocess.run(["c++", "-x", "c++", "-std=c++17", "-Wall", "-Wextra", "-Werror",
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"-I", str(ROOT / "tools"), "-o", str(runner), "-"],
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input=source, text=True, check=True, capture_output=True)
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subprocess.run([str(runner)], check=True, timeout=5)
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