ollama/gpu/gpu_info_cuda.c
Daniel Hiltgen 3c49c3ab0d Harden GPU mgmt library lookup
When there are multiple management libraries installed on a system
not every one will be compatible with the current driver.  This change
improves our management library algorithm to build up a set of discovered
libraries based on glob patterns, and then try all of them until we're able to
load one without error.
2024-01-10 15:06:41 -08:00

155 lines
No EOL
4 KiB
C

#ifndef __APPLE__ // TODO - maybe consider nvidia support on intel macs?
#include "gpu_info_cuda.h"
#include <string.h>
#define CUDA_LOOKUP_SIZE 6
void cuda_init(char *cuda_lib_path, cuda_init_resp_t *resp) {
nvmlReturn_t ret;
resp->err = NULL;
const int buflen = 256;
char buf[buflen + 1];
int i;
struct lookup {
char *s;
void **p;
} l[CUDA_LOOKUP_SIZE] = {
{"nvmlInit_v2", (void *)&resp->ch.initFn},
{"nvmlShutdown", (void *)&resp->ch.shutdownFn},
{"nvmlDeviceGetHandleByIndex", (void *)&resp->ch.getHandle},
{"nvmlDeviceGetMemoryInfo", (void *)&resp->ch.getMemInfo},
{"nvmlDeviceGetCount_v2", (void *)&resp->ch.getCount},
{"nvmlDeviceGetCudaComputeCapability", (void *)&resp->ch.getComputeCapability},
};
resp->ch.handle = LOAD_LIBRARY(cuda_lib_path, RTLD_LAZY);
if (!resp->ch.handle) {
char *msg = LOAD_ERR();
snprintf(buf, buflen,
"Unable to load %s library to query for Nvidia GPUs: %s",
cuda_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
}
for (i = 0; i < CUDA_LOOKUP_SIZE; i++) { // TODO - fix this to use a null terminated list
*l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
if (!l[i].p) {
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
char *msg = LOAD_ERR();
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
msg);
free(msg);
resp->err = strdup(buf);
return;
}
}
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);
}
return;
}
void cuda_check_vram(cuda_handle_t h, mem_info_t *resp) {
resp->err = NULL;
nvmlDevice_t device;
nvmlMemory_t memInfo = {0};
nvmlReturn_t ret;
const int buflen = 256;
char buf[buflen + 1];
int i;
if (h.handle == NULL) {
resp->err = strdup("nvml handle sn't initialized");
return;
}
ret = (*h.getCount)(&resp->count);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
return;
}
resp->total = 0;
resp->free = 0;
for (i = 0; i < resp->count; i++) {
ret = (*h.getHandle)(i, &device);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device handle %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
ret = (*h.getMemInfo)(device, &memInfo);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "device memory info lookup failure %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
resp->total += memInfo.total;
resp->free += memInfo.free;
}
}
void cuda_compute_capability(cuda_handle_t h, cuda_compute_capability_t *resp) {
resp->err = NULL;
resp->major = 0;
resp->minor = 0;
nvmlDevice_t device;
int major = 0;
int minor = 0;
nvmlReturn_t ret;
const int buflen = 256;
char buf[buflen + 1];
int i;
if (h.handle == NULL) {
resp->err = strdup("nvml handle not initialized");
return;
}
unsigned int devices;
ret = (*h.getCount)(&devices);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
return;
}
for (i = 0; i < devices; i++) {
ret = (*h.getHandle)(i, &device);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "unable to get device handle %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
ret = (*h.getComputeCapability)(device, &major, &minor);
if (ret != NVML_SUCCESS) {
snprintf(buf, buflen, "device compute capability lookup failure %d: %d", i, ret);
resp->err = strdup(buf);
return;
}
// Report the lowest major.minor we detect as that limits our compatibility
if (resp->major == 0 || resp->major > major ) {
resp->major = major;
resp->minor = minor;
} else if ( resp->major == major && resp->minor > minor ) {
resp->minor = minor;
}
}
}
#endif // __APPLE__