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authorOpen-IOV <dev@open-iov.org>2026-09-23 05:44:08 -0400
committerOpen-IOV <dev@open-iov.org>2026-09-23 05:46:43 -0400
commit2302fc09080bad51c73f293294e19fd4db464eb0 (patch)
treec722d186347fdef5a34131e9e143b1549b1daf8e /tools/module_ops/dry_run.sh
downloadopen-iov-2302fc09080bad51c73f293294e19fd4db464eb0.tar.gz
open-iov-2302fc09080bad51c73f293294e19fd4db464eb0.zip
Open-IOV: initial public release
Open-IOV virtualizes NVIDIA GPUs so that unmodified guest drivers run with real GPU functionality - CUDA first, 3D and video to follow - on unmodified hosts, without a proprietary vGPU license and without patching any driver, firmware or hypervisor. Core principle: emulate the interface, pass through the work. kernel/ open-iov-vfio.ko - host VFIO mdev driver: virtual GPU device (PCI config space, BAR shadows, MSI-X), GSP boot emulation, GSP-RM message-queue/RPC emulation, memory model (GPU-VA to guest-PA discovery) and the semaphore-completion service that advances guest UVM progress. userspace/ libiov.so management API and examples. tools/ guest diagnostics, firmware analysis wrappers, RM probes. scripts/ stack manager, VM harness, build/load/test automation. config/ hardware/version profiles (the portability surface). docs/ documentation tree - start at docs/README.md. wiki/ long-form firmware and protocol deep dives. Status: initialization works end to end for a stock 570.144 Linux guest on Turing (TU104): driver probe, nvidia-smi, the full GSP-RM control battery, object creation and the early CUDA/UVM start-up path. GPU work forwarding - the step that makes CUDA kernels execute on real hardware - is the active work item; see docs/04-implementation/01-known-knowns-and-unknowns.md. License: BSD-3-Clause for the project; GPL-2.0 for kernel modules that link GPL-only kernel interfaces. See LICENSE and docs/09-reference/legal-and-licensing.md.
Diffstat (limited to 'tools/module_ops/dry_run.sh')
-rwxr-xr-xtools/module_ops/dry_run.sh47
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diff --git a/tools/module_ops/dry_run.sh b/tools/module_ops/dry_run.sh
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+#!/bin/bash
+# Run vGPU dry-run validation
+# Usage: sudo ./dry_run.sh
+
+set -euo pipefail
+
+VGPU_KERNEL="${OPEN_IOV_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/../.." && pwd)}/kernel"
+
+echo "=== Open-IOV vGPU Dry-Run Validation ==="
+echo ""
+
+# Check if host nvidia.ko is loaded
+if ! lsmod | grep -q "^nvidia "; then
+ echo "ERROR: Host nvidia.ko not loaded. Load it first with:"
+ echo " rzsh nvidia vgpu load"
+ exit 1
+fi
+
+echo "Host nvidia.ko: LOADED ✓"
+echo ""
+
+# Load vGPU module in dry-run mode
+echo "Loading nvidia-vgpu-vfio.ko in dry-run mode..."
+sudo insmod "$VGPU_KERNEL/nvidia-vgpu-vfio.ko" dyndbg='+p' dry_run=1
+
+# Check result
+sleep 2
+if dmesg -T | grep -q "DRY-RUN MODE: validating init without hardware changes"; then
+ echo ""
+ echo "✓ Dry-run validation PASSED"
+ echo " Firmware, BAR layout, IRQ caps, IOMMU validated"
+else
+ echo ""
+ echo "✗ Dry-run validation FAILED"
+ echo "Check dmesg for errors:"
+ dmesg -T | grep -i -e nvidia-vgpu -e vgpu | tail -20
+fi
+
+# Unload
+echo ""
+echo "Unloading dry-run module..."
+sudo rmmod nvidia-vgpu-vfio
+
+echo ""
+echo "=== Dry-Run Complete ==="
+echo "If validation passed, load for real with:"
+echo " sudo insmod $VGPU_KERNEL/nvidia-vgpu-vfio.ko dyndbg='+p'" \ No newline at end of file