Merge pull request #5580 from dhiltgen/cuda_overhead
Detect CUDA OS overhead
This commit is contained in:
commit
8ea500441d
2 changed files with 29 additions and 1 deletions
27
gpu/gpu.go
27
gpu/gpu.go
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@ -274,6 +274,28 @@ func GetGPUInfo() GpuInfoList {
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gpuInfo.DriverMajor = driverMajor
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gpuInfo.DriverMinor = driverMinor
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// query the management library as well so we can record any skew between the two
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// which represents overhead on the GPU we must set aside on subsequent updates
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if cHandles.nvml != nil {
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C.nvml_get_free(*cHandles.nvml, C.int(gpuInfo.index), &memInfo.free, &memInfo.total, &memInfo.used)
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if memInfo.err != nil {
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slog.Warn("error looking up nvidia GPU memory", "error", C.GoString(memInfo.err))
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C.free(unsafe.Pointer(memInfo.err))
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} else {
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if memInfo.free != 0 && uint64(memInfo.free) > gpuInfo.FreeMemory {
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gpuInfo.OSOverhead = uint64(memInfo.free) - gpuInfo.FreeMemory
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slog.Info("detected OS VRAM overhead",
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"id", gpuInfo.ID,
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"library", gpuInfo.Library,
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"compute", gpuInfo.Compute,
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"driver", fmt.Sprintf("%d.%d", gpuInfo.DriverMajor, gpuInfo.DriverMinor),
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"name", gpuInfo.Name,
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"overhead", format.HumanBytes2(gpuInfo.OSOverhead),
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)
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}
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}
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}
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// TODO potentially sort on our own algorithm instead of what the underlying GPU library does...
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cudaGPUs = append(cudaGPUs, gpuInfo)
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}
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@ -374,9 +396,14 @@ func GetGPUInfo() GpuInfoList {
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slog.Warn("error looking up nvidia GPU memory")
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continue
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}
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if cHandles.nvml != nil && gpu.OSOverhead > 0 {
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// When using the management library update based on recorded overhead
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memInfo.free -= C.uint64_t(gpu.OSOverhead)
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}
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slog.Debug("updating cuda memory data",
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"gpu", gpu.ID,
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"name", gpu.Name,
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"overhead", format.HumanBytes2(gpu.OSOverhead),
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slog.Group(
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"before",
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"total", format.HumanBytes2(gpu.TotalMemory),
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@ -52,7 +52,8 @@ type CPUInfo struct {
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type CudaGPUInfo struct {
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GpuInfo
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index int //nolint:unused,nolintlint
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OSOverhead uint64 // Memory overhead between the driver library and management library
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index int //nolint:unused,nolintlint
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}
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type CudaGPUInfoList []CudaGPUInfo
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