Increase minimum CUDA memory allocation overhead and fix minimum overhead for multi-gpu (#1896)
* increase minimum cuda overhead and fix minimum overhead for multi-gpu * fix multi gpu overhead * limit overhead to 10% of all gpus * better wording * allocate fixed amount before layers * fixed only includes graph alloc
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@ -184,10 +184,11 @@ func getCPUMem() (memInfo, error) {
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func CheckVRAM() (int64, error) {
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gpuInfo := GetGPUInfo()
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if gpuInfo.FreeMemory > 0 && (gpuInfo.Library == "cuda" || gpuInfo.Library == "rocm") {
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// leave 10% or 384Mi of VRAM free for unaccounted for overhead
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overhead := gpuInfo.FreeMemory * uint64(gpuInfo.DeviceCount) / 10
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if overhead < 384*1024*1024 {
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overhead = 384 * 1024 * 1024
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// leave 10% or 512MiB of VRAM free per GPU to handle unaccounted for overhead
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overhead := gpuInfo.FreeMemory / 10
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gpus := uint64(gpuInfo.DeviceCount)
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if overhead < gpus*512*1024*1024 {
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overhead = gpus * 512 * 1024 * 1024
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}
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return int64(gpuInfo.FreeMemory - overhead), nil
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}
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22
llm/llm.go
22
llm/llm.go
@ -95,20 +95,26 @@ func New(workDir, model string, adapters, projectors []string, opts api.Options)
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break
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}
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// no offloading required
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if requiredTotal <= available {
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break
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}
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// requiredAlloc is always loaded for the CUDA runner, so don't load it if it won't fit
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if requiredAlloc > available {
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// alloc buffer and kv cache is allocated as a fixed amount on the main gpu
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// TODO: find the largest GPU and only reserve memory there
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avgAvailable := available / int64(info.DeviceCount)
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if requiredAlloc > avgAvailable {
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log.Printf("not enough vram available, falling back to CPU only")
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library = "cpu"
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opts.NumGPU = 0
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break
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}
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available -= requiredAlloc
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// we don't know which GPU will be used, so estimate
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// the scratch buffer space on all of them
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// TODO: allocate less layers to the GPU with the scratch buffer
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// and more to the others (based on their available memory)
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available -= requiredAlloc * int64(info.DeviceCount)
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// no offloading required
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if requiredModel+requiredKv <= available {
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break
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}
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// fill remaining vram with layers
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log.Println("splitting", available, "of available memory bytes into layers")
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