ollama/gpu/gpu.go
Daniel Hiltgen 4072b5879b
Merge pull request #2246 from dhiltgen/reject_cuda_without_avx
Don't disable GPUs on arm without AVX
2024-01-28 16:26:55 -08:00

331 lines
9.7 KiB
Go

//go:build linux || windows
package gpu
/*
#cgo linux LDFLAGS: -lrt -lpthread -ldl -lstdc++ -lm
#cgo windows LDFLAGS: -lpthread
#include "gpu_info.h"
*/
import "C"
import (
"fmt"
"log/slog"
"os"
"path/filepath"
"runtime"
"strconv"
"strings"
"sync"
"unsafe"
)
type handles struct {
cuda *C.cuda_handle_t
rocm *C.rocm_handle_t
}
var gpuMutex sync.Mutex
var gpuHandles *handles = nil
// With our current CUDA compile flags, older than 5.0 will not work properly
var CudaComputeMin = [2]C.int{5, 0}
// Possible locations for the nvidia-ml library
var CudaLinuxGlobs = []string{
"/usr/local/cuda/lib64/libnvidia-ml.so*",
"/usr/lib/x86_64-linux-gnu/nvidia/current/libnvidia-ml.so*",
"/usr/lib/x86_64-linux-gnu/libnvidia-ml.so*",
"/usr/lib/wsl/lib/libnvidia-ml.so*",
"/usr/lib/wsl/drivers/*/libnvidia-ml.so*",
"/opt/cuda/lib64/libnvidia-ml.so*",
"/usr/lib*/libnvidia-ml.so*",
"/usr/local/lib*/libnvidia-ml.so*",
"/usr/lib/aarch64-linux-gnu/nvidia/current/libnvidia-ml.so*",
"/usr/lib/aarch64-linux-gnu/libnvidia-ml.so*",
// TODO: are these stubs ever valid?
"/opt/cuda/targets/x86_64-linux/lib/stubs/libnvidia-ml.so*",
}
var CudaWindowsGlobs = []string{
"c:\\Windows\\System32\\nvml.dll",
}
var RocmLinuxGlobs = []string{
"/opt/rocm*/lib*/librocm_smi64.so*",
}
var RocmWindowsGlobs = []string{
"c:\\Windows\\System32\\rocm_smi64.dll",
}
// Note: gpuMutex must already be held
func initGPUHandles() {
// TODO - if the ollama build is CPU only, don't do these checks as they're irrelevant and confusing
gpuHandles = &handles{nil, nil}
var cudaMgmtName string
var cudaMgmtPatterns []string
var rocmMgmtName string
var rocmMgmtPatterns []string
switch runtime.GOOS {
case "windows":
cudaMgmtName = "nvml.dll"
cudaMgmtPatterns = make([]string, len(CudaWindowsGlobs))
copy(cudaMgmtPatterns, CudaWindowsGlobs)
rocmMgmtName = "rocm_smi64.dll"
rocmMgmtPatterns = make([]string, len(RocmWindowsGlobs))
copy(rocmMgmtPatterns, RocmWindowsGlobs)
case "linux":
cudaMgmtName = "libnvidia-ml.so"
cudaMgmtPatterns = make([]string, len(CudaLinuxGlobs))
copy(cudaMgmtPatterns, CudaLinuxGlobs)
rocmMgmtName = "librocm_smi64.so"
rocmMgmtPatterns = make([]string, len(RocmLinuxGlobs))
copy(rocmMgmtPatterns, RocmLinuxGlobs)
default:
return
}
slog.Info("Detecting GPU type")
cudaLibPaths := FindGPULibs(cudaMgmtName, cudaMgmtPatterns)
if len(cudaLibPaths) > 0 {
cuda := LoadCUDAMgmt(cudaLibPaths)
if cuda != nil {
slog.Info("Nvidia GPU detected")
gpuHandles.cuda = cuda
return
}
}
rocmLibPaths := FindGPULibs(rocmMgmtName, rocmMgmtPatterns)
if len(rocmLibPaths) > 0 {
rocm := LoadROCMMgmt(rocmLibPaths)
if rocm != nil {
slog.Info("Radeon GPU detected")
gpuHandles.rocm = rocm
return
}
}
}
func GetGPUInfo() GpuInfo {
// TODO - consider exploring lspci (and equivalent on windows) to check for
// GPUs so we can report warnings if we see Nvidia/AMD but fail to load the libraries
gpuMutex.Lock()
defer gpuMutex.Unlock()
if gpuHandles == nil {
initGPUHandles()
}
// All our GPU builds on x86 have AVX enabled, so fallback to CPU if we don't detect at least AVX
cpuVariant := GetCPUVariant()
if cpuVariant == "" && runtime.GOARCH == "amd64" {
slog.Warn("CPU does not have AVX or AVX2, disabling GPU support.")
}
var memInfo C.mem_info_t
resp := GpuInfo{}
if gpuHandles.cuda != nil && (cpuVariant != "" || runtime.GOARCH != "amd64") {
C.cuda_check_vram(*gpuHandles.cuda, &memInfo)
if memInfo.err != nil {
slog.Info(fmt.Sprintf("error looking up CUDA GPU memory: %s", C.GoString(memInfo.err)))
C.free(unsafe.Pointer(memInfo.err))
} else if memInfo.count > 0 {
// Verify minimum compute capability
var cc C.cuda_compute_capability_t
C.cuda_compute_capability(*gpuHandles.cuda, &cc)
if cc.err != nil {
slog.Info(fmt.Sprintf("error looking up CUDA GPU compute capability: %s", C.GoString(cc.err)))
C.free(unsafe.Pointer(cc.err))
} else if cc.major > CudaComputeMin[0] || (cc.major == CudaComputeMin[0] && cc.minor >= CudaComputeMin[1]) {
slog.Info(fmt.Sprintf("CUDA Compute Capability detected: %d.%d", cc.major, cc.minor))
resp.Library = "cuda"
} else {
slog.Info(fmt.Sprintf("CUDA GPU is too old. Falling back to CPU mode. Compute Capability detected: %d.%d", cc.major, cc.minor))
}
}
} else if gpuHandles.rocm != nil && (cpuVariant != "" || runtime.GOARCH != "amd64") {
C.rocm_check_vram(*gpuHandles.rocm, &memInfo)
if memInfo.err != nil {
slog.Info(fmt.Sprintf("error looking up ROCm GPU memory: %s", C.GoString(memInfo.err)))
C.free(unsafe.Pointer(memInfo.err))
} else if memInfo.igpu_index >= 0 && memInfo.count == 1 {
// Only one GPU detected and it appears to be an integrated GPU - skip it
slog.Info("ROCm unsupported integrated GPU detected")
} else if memInfo.count > 0 {
if memInfo.igpu_index >= 0 {
// We have multiple GPUs reported, and one of them is an integrated GPU
// so we have to set the env var to bypass it
// If the user has specified their own ROCR_VISIBLE_DEVICES, don't clobber it
val := os.Getenv("ROCR_VISIBLE_DEVICES")
if val == "" {
devices := []string{}
for i := 0; i < int(memInfo.count); i++ {
if i == int(memInfo.igpu_index) {
continue
}
devices = append(devices, strconv.Itoa(i))
}
val = strings.Join(devices, ",")
os.Setenv("ROCR_VISIBLE_DEVICES", val)
}
slog.Info(fmt.Sprintf("ROCm integrated GPU detected - ROCR_VISIBLE_DEVICES=%s", val))
}
resp.Library = "rocm"
var version C.rocm_version_resp_t
C.rocm_get_version(*gpuHandles.rocm, &version)
verString := C.GoString(version.str)
if version.status == 0 {
resp.Variant = "v" + verString
} else {
slog.Info(fmt.Sprintf("failed to look up ROCm version: %s", verString))
}
C.free(unsafe.Pointer(version.str))
}
}
if resp.Library == "" {
C.cpu_check_ram(&memInfo)
resp.Library = "cpu"
resp.Variant = cpuVariant
}
if memInfo.err != nil {
slog.Info(fmt.Sprintf("error looking up CPU memory: %s", C.GoString(memInfo.err)))
C.free(unsafe.Pointer(memInfo.err))
return resp
}
resp.DeviceCount = uint32(memInfo.count)
resp.FreeMemory = uint64(memInfo.free)
resp.TotalMemory = uint64(memInfo.total)
return resp
}
func getCPUMem() (memInfo, error) {
var ret memInfo
var info C.mem_info_t
C.cpu_check_ram(&info)
if info.err != nil {
defer C.free(unsafe.Pointer(info.err))
return ret, fmt.Errorf(C.GoString(info.err))
}
ret.FreeMemory = uint64(info.free)
ret.TotalMemory = uint64(info.total)
return ret, nil
}
func CheckVRAM() (int64, error) {
gpuInfo := GetGPUInfo()
if gpuInfo.FreeMemory > 0 && (gpuInfo.Library == "cuda" || gpuInfo.Library == "rocm") {
// leave 10% or 1024MiB of VRAM free per GPU to handle unaccounted for overhead
overhead := gpuInfo.FreeMemory / 10
gpus := uint64(gpuInfo.DeviceCount)
if overhead < gpus*1024*1024*1024 {
overhead = gpus * 1024 * 1024 * 1024
}
avail := int64(gpuInfo.FreeMemory - overhead)
slog.Debug(fmt.Sprintf("%s detected %d devices with %dM available memory", gpuInfo.Library, gpuInfo.DeviceCount, avail/1024/1024))
return avail, nil
}
return 0, fmt.Errorf("no GPU detected") // TODO - better handling of CPU based memory determiniation
}
func FindGPULibs(baseLibName string, patterns []string) []string {
// Multiple GPU libraries may exist, and some may not work, so keep trying until we exhaust them
var ldPaths []string
gpuLibPaths := []string{}
slog.Info(fmt.Sprintf("Searching for GPU management library %s", baseLibName))
switch runtime.GOOS {
case "windows":
ldPaths = strings.Split(os.Getenv("PATH"), ";")
case "linux":
ldPaths = strings.Split(os.Getenv("LD_LIBRARY_PATH"), ":")
default:
return gpuLibPaths
}
// Start with whatever we find in the PATH/LD_LIBRARY_PATH
for _, ldPath := range ldPaths {
d, err := filepath.Abs(ldPath)
if err != nil {
continue
}
patterns = append(patterns, filepath.Join(d, baseLibName+"*"))
}
slog.Debug(fmt.Sprintf("gpu management search paths: %v", patterns))
for _, pattern := range patterns {
// Ignore glob discovery errors
matches, _ := filepath.Glob(pattern)
for _, match := range matches {
// Resolve any links so we don't try the same lib multiple times
// and weed out any dups across globs
libPath := match
tmp := match
var err error
for ; err == nil; tmp, err = os.Readlink(libPath) {
if !filepath.IsAbs(tmp) {
tmp = filepath.Join(filepath.Dir(libPath), tmp)
}
libPath = tmp
}
new := true
for _, cmp := range gpuLibPaths {
if cmp == libPath {
new = false
break
}
}
if new {
gpuLibPaths = append(gpuLibPaths, libPath)
}
}
}
slog.Info(fmt.Sprintf("Discovered GPU libraries: %v", gpuLibPaths))
return gpuLibPaths
}
func LoadCUDAMgmt(cudaLibPaths []string) *C.cuda_handle_t {
var resp C.cuda_init_resp_t
resp.ch.verbose = getVerboseState()
for _, libPath := range cudaLibPaths {
lib := C.CString(libPath)
defer C.free(unsafe.Pointer(lib))
C.cuda_init(lib, &resp)
if resp.err != nil {
slog.Info(fmt.Sprintf("Unable to load CUDA management library %s: %s", libPath, C.GoString(resp.err)))
C.free(unsafe.Pointer(resp.err))
} else {
return &resp.ch
}
}
return nil
}
func LoadROCMMgmt(rocmLibPaths []string) *C.rocm_handle_t {
var resp C.rocm_init_resp_t
resp.rh.verbose = getVerboseState()
for _, libPath := range rocmLibPaths {
lib := C.CString(libPath)
defer C.free(unsafe.Pointer(lib))
C.rocm_init(lib, &resp)
if resp.err != nil {
slog.Info(fmt.Sprintf("Unable to load ROCm management library %s: %s", libPath, C.GoString(resp.err)))
C.free(unsafe.Pointer(resp.err))
} else {
return &resp.rh
}
}
return nil
}
func getVerboseState() C.uint16_t {
if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
return C.uint16_t(1)
}
return C.uint16_t(0)
}