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https://github.com/dogkeeper886/ollama37.git
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Better nvidia GPU discovery logging
Refine the way we log GPU discovery to improve the non-debug output, and report more actionable log messages when possible to help users troubleshoot on their own.
This commit is contained in:
23
gpu/gpu.go
23
gpu/gpu.go
@@ -202,7 +202,7 @@ func GetGPUInfo() GpuInfoList {
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}()
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if !bootstrapped {
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slog.Debug("Detecting GPUs")
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slog.Info("looking for compatible GPUs")
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needRefresh = false
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cpuCapability = GetCPUCapability()
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var memInfo C.mem_info_t
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@@ -320,6 +320,9 @@ func GetGPUInfo() GpuInfoList {
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rocmGPUs = AMDGetGPUInfo()
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bootstrapped = true
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if len(cudaGPUs) == 0 && len(rocmGPUs) == 0 && len(oneapiGPUs) == 0 {
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slog.Info("no compatible GPUs were discovered")
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}
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}
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// For detected GPUs, load library if not loaded
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@@ -514,7 +517,23 @@ func LoadNVCUDAMgmt(nvcudaLibPaths []string) (int, *C.nvcuda_handle_t, string) {
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defer C.free(unsafe.Pointer(lib))
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C.nvcuda_init(lib, &resp)
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if resp.err != nil {
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slog.Debug("Unable to load nvcuda", "library", libPath, "error", C.GoString(resp.err))
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// Decide what log level based on the type of error message to help users understand why
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msg := C.GoString(resp.err)
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switch resp.cudaErr {
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case C.CUDA_ERROR_INSUFFICIENT_DRIVER, C.CUDA_ERROR_SYSTEM_DRIVER_MISMATCH:
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slog.Warn("version mismatch between driver and cuda driver library - reboot or upgrade may be required", "library", libPath, "error", msg)
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case C.CUDA_ERROR_NO_DEVICE:
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slog.Info("no nvidia devices detected", "library", libPath)
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case C.CUDA_ERROR_UNKNOWN:
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slog.Warn("unknown error initializing cuda driver library", "library", libPath, "error", msg)
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slog.Warn("see https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md for more information")
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default:
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if strings.Contains(msg, "wrong ELF class") {
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slog.Debug("skipping 32bit library", "library", libPath)
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} else {
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slog.Info("unable to load cuda driver library", "library", libPath, "error", msg)
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}
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}
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C.free(unsafe.Pointer(resp.err))
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} else {
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return int(resp.num_devices), &resp.ch, libPath
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