mirror of
https://github.com/dogkeeper886/ollama37.git
synced 2025-12-10 15:57:04 +00:00
Refine build to support CPU only
If someone checks out the ollama repo and doesn't install the CUDA library, this will ensure they can build a CPU only version
This commit is contained in:
33
gpu/gpu.go
33
gpu/gpu.go
@@ -3,6 +3,9 @@
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package gpu
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/*
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#cgo linux LDFLAGS: -lrt -lpthread -ldl -lstdc++ -lm
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#cgo windows LDFLAGS: -lpthread
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#include "gpu_info.h"
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*/
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@@ -26,6 +29,7 @@ var gpuHandles *handles = nil
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// Note: gpuMutex must already be held
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func initGPUHandles() {
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// TODO - if the ollama build is CPU only, don't do these checks as they're irrelevant and confusing
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log.Printf("Detecting GPU type")
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gpuHandles = &handles{nil, nil}
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var resp C.cuda_init_resp_t
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@@ -61,20 +65,32 @@ func GetGPUInfo() GpuInfo {
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}
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var memInfo C.mem_info_t
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var resp GpuInfo
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resp := GpuInfo{"", 0, 0}
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if gpuHandles.cuda != nil {
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C.cuda_check_vram(*gpuHandles.cuda, &memInfo)
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resp.Driver = "CUDA"
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if memInfo.err != nil {
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log.Printf("error looking up CUDA GPU memory: %s", C.GoString(memInfo.err))
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C.free(unsafe.Pointer(memInfo.err))
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} else {
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resp.Driver = "CUDA"
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}
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} else if gpuHandles.rocm != nil {
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C.rocm_check_vram(*gpuHandles.rocm, &memInfo)
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resp.Driver = "ROCM"
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} else {
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if memInfo.err != nil {
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log.Printf("error looking up ROCm GPU memory: %s", C.GoString(memInfo.err))
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C.free(unsafe.Pointer(memInfo.err))
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} else {
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resp.Driver = "ROCM"
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}
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}
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if resp.Driver == "" {
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C.cpu_check_ram(&memInfo)
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resp.Driver = "CPU"
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}
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if memInfo.err != nil {
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log.Printf("error looking up GPU memory: %s", C.GoString(memInfo.err))
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log.Printf("error looking up CPU memory: %s", C.GoString(memInfo.err))
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C.free(unsafe.Pointer(memInfo.err))
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return resp
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}
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resp.FreeMemory = uint64(memInfo.free)
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resp.TotalMemory = uint64(memInfo.total)
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@@ -108,12 +124,7 @@ func NumGPU(numLayer, fileSizeBytes int64, opts api.Options) int {
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// 75% of the absolute max number of layers we can fit in available VRAM, off-loading too many layers to the GPU can cause OOM errors
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layers := int(info.FreeMemory/bytesPerLayer) * 3 / 4
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// TODO - not sure on this part... if we can't fit all the layers, just fallback to CPU
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// if int64(layers) < numLayer {
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// log.Printf("%d MB VRAM available, insufficient to load current model (reuires %d MB) - falling back to CPU %d", freeBytes/(1024*1024), fileSizeBytes/(1024*1024))
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// return 0
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// }
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log.Printf("%d MB VRAM available, loading up to %d GPU layers out of %d", info.FreeMemory/(1024*1024), layers, numLayer)
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log.Printf("%d MB VRAM available, loading up to %d %s GPU layers out of %d", info.FreeMemory/(1024*1024), layers, info.Driver, numLayer)
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return layers
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}
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