ollama/gpu/gpu_darwin.go
Daniel Hiltgen 24636dfa87
Discovery CPU details for default thread selection (#6264)
On windows, detect large multi-socket systems and reduce to the number of cores
in one socket for best performance
2024-10-15 11:36:08 -07:00

101 lines
2 KiB
Go

//go:build darwin
package gpu
/*
#cgo CFLAGS: -x objective-c
#cgo LDFLAGS: -framework Foundation -framework CoreGraphics -framework Metal
#include "gpu_info_darwin.h"
*/
import "C"
import (
"log/slog"
"runtime"
"syscall"
"github.com/ollama/ollama/format"
)
const (
metalMinimumMemory = 512 * format.MebiByte
)
func GetGPUInfo() GpuInfoList {
mem, _ := GetCPUMem()
if runtime.GOARCH == "amd64" {
return []GpuInfo{
{
Library: "cpu",
Variant: GetCPUCapability().String(),
memInfo: mem,
},
}
}
info := GpuInfo{
Library: "metal",
ID: "0",
}
info.TotalMemory = uint64(C.getRecommendedMaxVRAM())
// TODO is there a way to gather actual allocated video memory? (currentAllocatedSize doesn't work)
info.FreeMemory = info.TotalMemory
info.MinimumMemory = metalMinimumMemory
return []GpuInfo{info}
}
func GetCPUInfo() GpuInfoList {
mem, _ := GetCPUMem()
return []GpuInfo{
{
Library: "cpu",
Variant: GetCPUCapability().String(),
memInfo: mem,
},
}
}
func GetCPUMem() (memInfo, error) {
return memInfo{
TotalMemory: uint64(C.getPhysicalMemory()),
FreeMemory: uint64(C.getFreeMemory()),
// FreeSwap omitted as Darwin uses dynamic paging
}, nil
}
func (l GpuInfoList) GetVisibleDevicesEnv() (string, string) {
// No-op on darwin
return "", ""
}
func GetSystemInfo() SystemInfo {
mem, _ := GetCPUMem()
query := "hw.perflevel0.physicalcpu"
perfCores, err := syscall.SysctlUint32(query)
if err != nil {
slog.Warn("failed to discover physical CPU details", "query", query, "error", err)
}
query = "hw.perflevel1.physicalcpu"
efficiencyCores, _ := syscall.SysctlUint32(query) // On x86 xeon this wont return data
// Determine thread count
query = "hw.logicalcpu"
logicalCores, _ := syscall.SysctlUint32(query)
return SystemInfo{
System: CPUInfo{
GpuInfo: GpuInfo{
memInfo: mem,
},
CPUs: []CPU{
{
CoreCount: int(perfCores + efficiencyCores),
EfficiencyCoreCount: int(efficiencyCores),
ThreadCount: int(logicalCores),
},
},
},
GPUs: GetGPUInfo(),
}
}