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Merge pull request #1914 from dhiltgen/smarter_cuda_detection

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Smarter GPU Management library detection
This commit is contained in:
Daniel Hiltgen 2024-01-10 15:21:56 -08:00 committed by GitHub
commit ac70ab6761
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GPG key ID: 4AEE18F83AFDEB23
6 changed files with 171 additions and 67 deletions
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174
gpu/gpu.go
View file

@ -13,7 +13,10 @@ import "C"
import (
"fmt"
"log"
"os"
"path/filepath"
"runtime"
"strings"
"sync"
"unsafe"
)
@ -29,31 +32,79 @@ var gpuHandles *handles = nil
// With our current CUDA compile flags, 5.2 and older will not work properly
const CudaComputeMajorMin = 6
// 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*",
"/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*",
}
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
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
}
log.Printf("Detecting GPU type")
gpuHandles = &handles{nil, nil}
var resp C.cuda_init_resp_t
C.cuda_init(&resp)
if resp.err != nil {
log.Printf("CUDA not detected: %s", C.GoString(resp.err))
C.free(unsafe.Pointer(resp.err))
var resp C.rocm_init_resp_t
C.rocm_init(&resp)
if resp.err != nil {
log.Printf("ROCm not detected: %s", C.GoString(resp.err))
C.free(unsafe.Pointer(resp.err))
} else {
log.Printf("Radeon GPU detected")
rocm := resp.rh
gpuHandles.rocm = &rocm
cudaLibPaths := FindGPULibs(cudaMgmtName, cudaMgmtPatterns)
if len(cudaLibPaths) > 0 {
cuda := LoadCUDAMgmt(cudaLibPaths)
if cuda != nil {
log.Printf("Nvidia GPU detected")
gpuHandles.cuda = cuda
return
}
}
rocmLibPaths := FindGPULibs(rocmMgmtName, rocmMgmtPatterns)
if len(rocmLibPaths) > 0 {
rocm := LoadROCMMgmt(rocmLibPaths)
if rocm != nil {
log.Printf("Radeon GPU detected")
gpuHandles.rocm = rocm
return
}
} else {
log.Printf("Nvidia GPU detected")
cuda := resp.ch
gpuHandles.cuda = &cuda
}
}
@ -143,3 +194,88 @@ func CheckVRAM() (int64, error) {
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{}
log.Printf("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+"*"))
}
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)
}
}
}
log.Printf("Discovered GPU libraries: %v", gpuLibPaths)
return gpuLibPaths
}
func LoadCUDAMgmt(cudaLibPaths []string) *C.cuda_handle_t {
var resp C.cuda_init_resp_t
for _, libPath := range cudaLibPaths {
lib := C.CString(libPath)
defer C.free(unsafe.Pointer(lib))
C.cuda_init(lib, &resp)
if resp.err != nil {
log.Printf("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
for _, libPath := range rocmLibPaths {
lib := C.CString(libPath)
defer C.free(unsafe.Pointer(lib))
C.rocm_init(lib, &resp)
if resp.err != nil {
log.Printf("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
}

29
gpu/gpu_info_cuda.c
View file

@ -4,26 +4,9 @@
#include <string.h>
#ifndef _WIN32
const char *cuda_lib_paths[] = {
"libnvidia-ml.so",
"/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.1",
"/usr/lib/wsl/lib/libnvidia-ml.so.1", // TODO Maybe glob?
NULL,
};
#else
const char *cuda_lib_paths[] = {
"nvml.dll",
"",
NULL,
};
#endif
#define CUDA_LOOKUP_SIZE 6
void cuda_init(cuda_init_resp_t *resp) {
void cuda_init(char *cuda_lib_path, cuda_init_resp_t *resp) {
nvmlReturn_t ret;
resp->err = NULL;
const int buflen = 256;
@ -42,16 +25,12 @@ void cuda_init(cuda_init_resp_t *resp) {
{"nvmlDeviceGetCudaComputeCapability", (void *)&resp->ch.getComputeCapability},
};
for (i = 0; cuda_lib_paths[i] != NULL && resp->ch.handle == NULL; i++) {
resp->ch.handle = LOAD_LIBRARY(cuda_lib_paths[i], RTLD_LAZY);
}
resp->ch.handle = LOAD_LIBRARY(cuda_lib_path, RTLD_LAZY);
if (!resp->ch.handle) {
// TODO improve error message, as the LOAD_ERR will have typically have the
// final path that was checked which might be confusing.
char *msg = LOAD_ERR();
snprintf(buf, buflen,
"Unable to load %s library to query for Nvidia GPUs: %s",
cuda_lib_paths[0], msg);
cuda_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
@ -73,6 +52,8 @@ void cuda_init(cuda_init_resp_t *resp) {
ret = (*resp->ch.initFn)();
if (ret != NVML_SUCCESS) {
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
snprintf(buf, buflen, "nvml vram init failure: %d", ret);
resp->err = strdup(buf);
}

2
gpu/gpu_info_cuda.h
View file

@ -36,7 +36,7 @@ typedef struct cuda_compute_capability {
int minor;
} cuda_compute_capability_t;
void cuda_init(cuda_init_resp_t *resp);
void cuda_init(char *cuda_lib_path, cuda_init_resp_t *resp);
void cuda_check_vram(cuda_handle_t ch, mem_info_t *resp);
void cuda_compute_capability(cuda_handle_t ch, cuda_compute_capability_t *cc);

28
gpu/gpu_info_rocm.c
View file

@ -4,22 +4,7 @@
#include <string.h>
#ifndef _WIN32
const char *rocm_lib_paths[] = {
"librocm_smi64.so",
"/opt/rocm/lib/librocm_smi64.so",
NULL,
};
#else
// TODO untested
const char *rocm_lib_paths[] = {
"rocm_smi64.dll",
"/opt/rocm/lib/rocm_smi64.dll",
NULL,
};
#endif
void rocm_init(rocm_init_resp_t *resp) {
void rocm_init(char *rocm_lib_path, rocm_init_resp_t *resp) {
rsmi_status_t ret;
resp->err = NULL;
const int buflen = 256;
@ -36,14 +21,12 @@ void rocm_init(rocm_init_resp_t *resp) {
// { "rsmi_dev_id_get", (void*)&resp->rh.getHandle },
};
for (i = 0; rocm_lib_paths[i] != NULL && resp->rh.handle == NULL; i++) {
resp->rh.handle = LOAD_LIBRARY(rocm_lib_paths[i], RTLD_LAZY);
}
resp->rh.handle = LOAD_LIBRARY(rocm_lib_path, RTLD_LAZY);
if (!resp->rh.handle) {
char *msg = LOAD_ERR();
snprintf(buf, buflen,
"Unable to load %s library to query for Radeon GPUs: %s\n",
rocm_lib_paths[0], msg);
rocm_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
@ -53,6 +36,7 @@ void rocm_init(rocm_init_resp_t *resp) {
*l[i].p = LOAD_SYMBOL(resp->rh.handle, l[i].s);
if (!l[i].p) {
UNLOAD_LIBRARY(resp->rh.handle);
resp->rh.handle = NULL;
char *msg = LOAD_ERR();
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
msg);
@ -64,6 +48,8 @@ void rocm_init(rocm_init_resp_t *resp) {
ret = (*resp->rh.initFn)(0);
if (ret != RSMI_STATUS_SUCCESS) {
UNLOAD_LIBRARY(resp->rh.handle);
resp->rh.handle = NULL;
snprintf(buf, buflen, "rocm vram init failure: %d", ret);
resp->err = strdup(buf);
}
@ -83,7 +69,7 @@ void rocm_check_vram(rocm_handle_t h, mem_info_t *resp) {
int i;
if (h.handle == NULL) {
resp->err = strdup("nvml handle sn't initialized");
resp->err = strdup("rocm handle not initialized");
return;
}

2
gpu/gpu_info_rocm.h
View file

@ -29,7 +29,7 @@ typedef struct rocm_init_resp {
rocm_handle_t rh;
} rocm_init_resp_t;
void rocm_init(rocm_init_resp_t *resp);
void rocm_init(char *rocm_lib_path, rocm_init_resp_t *resp);
void rocm_check_vram(rocm_handle_t rh, mem_info_t *resp);
#endif // __GPU_INFO_ROCM_H__

3
scripts/build_linux.sh
View file

@ -5,9 +5,10 @@ set -eu
export VERSION=${VERSION:-0.0.0}
export GOFLAGS="'-ldflags=-w -s \"-X=github.com/jmorganca/ollama/version.Version=$VERSION\" \"-X=github.com/jmorganca/ollama/server.mode=release\"'"
BUILD_ARCH=${BUILD_ARCH:-"amd64 arm64"}
mkdir -p dist
for TARGETARCH in amd64 arm64; do
for TARGETARCH in ${BUILD_ARCH}; do
docker build --platform=linux/$TARGETARCH --build-arg=GOFLAGS --build-arg=CGO_CFLAGS -f Dockerfile.build -t builder:$TARGETARCH .
docker create --platform linux/$TARGETARCH --name builder-$TARGETARCH builder:$TARGETARCH
docker cp builder-$TARGETARCH:/go/src/github.com/jmorganca/ollama/ollama ./dist/ollama-linux-$TARGETARCH