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Commit ff27a817 authored by wangkx1's avatar wangkx1
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init

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ollama/gpu/gpu_info_darwin.h 0 → 100755
View file @ ff27a817
#import <Metal/Metal.h>
#include <stdint.h>
uint64_t getRecommendedMaxVRAM();
uint64_t getPhysicalMemory();
ollama/gpu/gpu_info_darwin.m 0 → 100755
View file @ ff27a817
// go:build darwin
#include "gpu_info_darwin.h"
uint64_t getRecommendedMaxVRAM() {
id<MTLDevice> device = MTLCreateSystemDefaultDevice();
uint64_t result = device.recommendedMaxWorkingSetSize;
CFRelease(device);
return result;
}
uint64_t getPhysicalMemory() {
return [[NSProcessInfo processInfo] physicalMemory];
}
ollama/gpu/gpu_info_nvcuda.c 0 → 100755
View file @ ff27a817
#ifndef __APPLE__ // TODO - maybe consider nvidia support on intel macs?
#include <string.h>
#include "gpu_info_nvcuda.h"
void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
CUresult ret;
resp->err = NULL;
resp->num_devices = 0;
const int buflen = 256;
char buf[buflen + 1];
int i;
struct lookup {
char *s;
void **p;
} l[] = {
{"cuInit", (void *)&resp->ch.cuInit},
{"cuDriverGetVersion", (void *)&resp->ch.cuDriverGetVersion},
{"cuDeviceGetCount", (void *)&resp->ch.cuDeviceGetCount},
{"cuDeviceGet", (void *)&resp->ch.cuDeviceGet},
{"cuDeviceGetAttribute", (void *)&resp->ch.cuDeviceGetAttribute},
{"cuDeviceGetUuid", (void *)&resp->ch.cuDeviceGetUuid},
{"cuDeviceGetName", (void *)&resp->ch.cuDeviceGetName},
{"cuCtxCreate_v3", (void *)&resp->ch.cuCtxCreate_v3},
{"cuMemGetInfo_v2", (void *)&resp->ch.cuMemGetInfo_v2},
{"cuCtxDestroy", (void *)&resp->ch.cuCtxDestroy},
{NULL, NULL},
};
resp->ch.handle = LOAD_LIBRARY(nvcuda_lib_path, RTLD_LAZY);
if (!resp->ch.handle) {
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "library %s load err: %s\n", nvcuda_lib_path, msg);
snprintf(buf, buflen,
"Unable to load %s library to query for Nvidia GPUs: %s",
nvcuda_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
}
for (i = 0; l[i].s != NULL; i++) {
*l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
if (!*l[i].p) {
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "dlerr: %s\n", msg);
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
msg);
free(msg);
resp->err = strdup(buf);
return;
}
}
ret = (*resp->ch.cuInit)(0);
if (ret != CUDA_SUCCESS) {
LOG(resp->ch.verbose, "cuInit err: %d\n", ret);
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
if (ret == CUDA_ERROR_INSUFFICIENT_DRIVER) {
resp->err = strdup("your nvidia driver is too old or missing. If you have a CUDA GPU please upgrade to run ollama");
return;
}
snprintf(buf, buflen, "nvcuda init failure: %d", ret);
resp->err = strdup(buf);
return;
}
int version = 0;
resp->ch.driver_major = 0;
resp->ch.driver_minor = 0;
// Report driver version if we're in verbose mode, ignore errors
ret = (*resp->ch.cuDriverGetVersion)(&version);
if (ret != CUDA_SUCCESS) {
LOG(resp->ch.verbose, "cuDriverGetVersion failed: %d\n", ret);
} else {
resp->ch.driver_major = version / 1000;
resp->ch.driver_minor = (version - (resp->ch.driver_major * 1000)) / 10;
LOG(resp->ch.verbose, "CUDA driver version: %d.%d\n", resp->ch.driver_major, resp->ch.driver_minor);
}
ret = (*resp->ch.cuDeviceGetCount)(&resp->num_devices);
if (ret != CUDA_SUCCESS) {
LOG(resp->ch.verbose, "cuDeviceGetCount err: %d\n", ret);
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
return;
}
}
const int buflen = 256;
void nvcuda_bootstrap(nvcuda_handle_t h, int i, mem_info_t *resp) {
resp->err = NULL;
nvcudaMemory_t memInfo = {0,0};
CUresult ret;
CUdevice device = -1;
CUcontext ctx = NULL;
char buf[buflen + 1];
CUuuid uuid = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
if (h.handle == NULL) {
resp->err = strdup("nvcuda handle isn't initialized");
return;
}
ret = (*h.cuDeviceGet)(&device, i);
if (ret != CUDA_SUCCESS) {
snprintf(buf, buflen, "nvcuda device failed to initialize");
resp->err = strdup(buf);
return;
}
int major = 0;
int minor = 0;
ret = (*h.cuDeviceGetAttribute)(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, device);
if (ret != CUDA_SUCCESS) {
LOG(h.verbose, "[%d] device major lookup failure: %d\n", i, ret);
} else {
ret = (*h.cuDeviceGetAttribute)(&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, device);
if (ret != CUDA_SUCCESS) {
LOG(h.verbose, "[%d] device minor lookup failure: %d\n", i, ret);
} else {
resp->minor = minor;
resp->major = major;
}
}
ret = (*h.cuDeviceGetUuid)(&uuid, device);
if (ret != CUDA_SUCCESS) {
LOG(h.verbose, "[%d] device uuid lookup failure: %d\n", i, ret);
snprintf(&resp->gpu_id[0], GPU_ID_LEN, "%d", i);
} else {
// GPU-d110a105-ac29-1d54-7b49-9c90440f215b
snprintf(&resp->gpu_id[0], GPU_ID_LEN,
"GPU-%02x%02x%02x%02x-%02x%02x-%02x%02x-%02x%02x-%02x%02x%02x%02x%02x%02x",
uuid.bytes[0],
uuid.bytes[1],
uuid.bytes[2],
uuid.bytes[3],
uuid.bytes[4],
uuid.bytes[5],
uuid.bytes[6],
uuid.bytes[7],
uuid.bytes[8],
uuid.bytes[9],
uuid.bytes[10],
uuid.bytes[11],
uuid.bytes[12],
uuid.bytes[13],
uuid.bytes[14],
uuid.bytes[15]
);
}
ret = (*h.cuDeviceGetName)(&resp->gpu_name[0], GPU_NAME_LEN, device);
if (ret != CUDA_SUCCESS) {
LOG(h.verbose, "[%d] device name lookup failure: %d\n", i, ret);
resp->gpu_name[0] = '\0';
}
// To get memory we have to set (and release) a context
ret = (*h.cuCtxCreate_v3)(&ctx, NULL, 0, 0, device);
if (ret != CUDA_SUCCESS) {
snprintf(buf, buflen, "nvcuda failed to get device context %d", ret);
resp->err = strdup(buf);
return;
}
ret = (*h.cuMemGetInfo_v2)(&memInfo.free, &memInfo.total);
if (ret != CUDA_SUCCESS) {
snprintf(buf, buflen, "nvcuda device memory info lookup failure %d", ret);
resp->err = strdup(buf);
// Best effort on failure...
(*h.cuCtxDestroy)(ctx);
return;
}
resp->total = memInfo.total;
resp->free = memInfo.free;
LOG(h.verbose, "[%s] CUDA totalMem %lu mb\n", resp->gpu_id, resp->total / 1024 / 1024);
LOG(h.verbose, "[%s] CUDA freeMem %lu mb\n", resp->gpu_id, resp->free / 1024 / 1024);
LOG(h.verbose, "[%s] Compute Capability %d.%d\n", resp->gpu_id, resp->major, resp->minor);
ret = (*h.cuCtxDestroy)(ctx);
if (ret != CUDA_SUCCESS) {
LOG(1, "nvcuda failed to release device context %d", ret);
}
}
void nvcuda_get_free(nvcuda_handle_t h, int i, uint64_t *free, uint64_t *total) {
CUresult ret;
CUcontext ctx = NULL;
CUdevice device = -1;
*free = 0;
*total = 0;
ret = (*h.cuDeviceGet)(&device, i);
if (ret != CUDA_SUCCESS) {
LOG(1, "nvcuda device failed to initialize");
return;
}
// To get memory we have to set (and release) a context
ret = (*h.cuCtxCreate_v3)(&ctx, NULL, 0, 0, device);
if (ret != CUDA_SUCCESS) {
LOG(1, "nvcuda failed to get device context %d", ret);
return;
}
ret = (*h.cuMemGetInfo_v2)(free, total);
if (ret != CUDA_SUCCESS) {
LOG(1, "nvcuda device memory info lookup failure %d", ret);
// Best effort on failure...
(*h.cuCtxDestroy)(ctx);
return;
}
ret = (*h.cuCtxDestroy)(ctx);
if (ret != CUDA_SUCCESS) {
LOG(1, "nvcuda failed to release device context %d", ret);
}
}
void nvcuda_release(nvcuda_handle_t h) {
LOG(h.verbose, "releasing nvcuda library\n");
UNLOAD_LIBRARY(h.handle);
// TODO and other context release logic?
h.handle = NULL;
}
#endif // __APPLE__
\ No newline at end of file
ollama/gpu/gpu_info_nvcuda.h 0 → 100755
View file @ ff27a817
#ifndef __APPLE__
#ifndef __GPU_INFO_NVCUDA_H__
#define __GPU_INFO_NVCUDA_H__
#include "gpu_info.h"
// Just enough typedef's to dlopen/dlsym for memory information
typedef enum cudaError_enum {
CUDA_SUCCESS = 0,
CUDA_ERROR_INVALID_VALUE = 1,
CUDA_ERROR_MEMORY_ALLOCATION = 2,
CUDA_ERROR_NOT_INITIALIZED = 3,
CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
// Other values omitted for now...
} CUresult;
typedef enum CUdevice_attribute_enum {
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75,
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR = 76,
// TODO - not yet wired up but may be useful for Jetson or other
// integrated GPU scenarios with shared memory
CU_DEVICE_ATTRIBUTE_INTEGRATED = 18
} CUdevice_attribute;
typedef void *nvcudaDevice_t; // Opaque is sufficient
typedef struct nvcudaMemory_st {
uint64_t total;
uint64_t free;
} nvcudaMemory_t;
typedef struct nvcudaDriverVersion {
int major;
int minor;
} nvcudaDriverVersion_t;
typedef struct CUuuid_st {
unsigned char bytes[16];
} CUuuid;
typedef int CUdevice;
typedef void* CUcontext;
typedef struct nvcuda_handle {
void *handle;
uint16_t verbose;
int driver_major;
int driver_minor;
CUresult (*cuInit)(unsigned int Flags);
CUresult (*cuDriverGetVersion)(int *driverVersion);
CUresult (*cuDeviceGetCount)(int *);
CUresult (*cuDeviceGet)(CUdevice* device, int ordinal);
CUresult (*cuDeviceGetAttribute)(int* pi, CUdevice_attribute attrib, CUdevice dev);
CUresult (*cuDeviceGetUuid)(CUuuid* uuid, CUdevice dev); // signature compatible with cuDeviceGetUuid_v2
CUresult (*cuDeviceGetName)(char *name, int len, CUdevice dev);
// Context specific aspects
CUresult (*cuCtxCreate_v3)(CUcontext* pctx, void *params, int len, unsigned int flags, CUdevice dev);
CUresult (*cuMemGetInfo_v2)(uint64_t* free, uint64_t* total);
CUresult (*cuCtxDestroy)(CUcontext ctx);
} nvcuda_handle_t;
typedef struct nvcuda_init_resp {
char *err; // If err is non-null handle is invalid
nvcuda_handle_t ch;
int num_devices;
} nvcuda_init_resp_t;
void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp);
void nvcuda_bootstrap(nvcuda_handle_t ch, int device_id, mem_info_t *resp);
void nvcuda_get_free(nvcuda_handle_t ch, int device_id, uint64_t *free, uint64_t *total);
void nvcuda_release(nvcuda_handle_t ch);
#endif // __GPU_INFO_NVCUDA_H__
#endif // __APPLE__
ollama/gpu/gpu_info_nvml.c 0 → 100755
View file @ ff27a817
#ifndef __APPLE__ // TODO - maybe consider nvidia support on intel macs?
#include <string.h>
#include "gpu_info_nvml.h"
void nvml_init(char *nvml_lib_path, nvml_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[] = {
{"nvmlInit_v2", (void *)&resp->ch.nvmlInit_v2},
{"nvmlShutdown", (void *)&resp->ch.nvmlShutdown},
{"nvmlDeviceGetHandleByIndex", (void *)&resp->ch.nvmlDeviceGetHandleByIndex},
{"nvmlDeviceGetMemoryInfo", (void *)&resp->ch.nvmlDeviceGetMemoryInfo},
{NULL, NULL},
};
resp->ch.handle = LOAD_LIBRARY(nvml_lib_path, RTLD_LAZY);
if (!resp->ch.handle) {
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "library %s load err: %s\n", nvml_lib_path, msg);
snprintf(buf, buflen,
"Unable to load %s library to query for Nvidia GPUs: %s",
nvml_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
}
// TODO once we've squashed the remaining corner cases remove this log
// LOG(resp->ch.verbose, "wiring nvidia management library functions in %s\n", nvml_lib_path);
for (i = 0; l[i].s != NULL; i++) {
// TODO once we've squashed the remaining corner cases remove this log
// LOG(resp->ch.verbose, "dlsym: %s\n", l[i].s);
*l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
if (!l[i].p) {
resp->ch.handle = NULL;
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "dlerr: %s\n", msg);
UNLOAD_LIBRARY(resp->ch.handle);
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
msg);
free(msg);
resp->err = strdup(buf);
return;
}
}
ret = (*resp->ch.nvmlInit_v2)();
if (ret != NVML_SUCCESS) {
LOG(resp->ch.verbose, "nvmlInit_v2 err: %d\n", ret);
UNLOAD_LIBRARY(resp->ch.handle);
resp->ch.handle = NULL;
snprintf(buf, buflen, "nvml vram init failure: %d", ret);
resp->err = strdup(buf);
return;
}
}
void nvml_get_free(nvml_handle_t h, int device_id, uint64_t *free, uint64_t *total, uint64_t *used) {
nvmlDevice_t device;
nvmlMemory_t memInfo = {0};
nvmlReturn_t ret;
ret = (*h.nvmlDeviceGetHandleByIndex)(device_id, &device);
if (ret != NVML_SUCCESS) {
LOG(1, "unable to get device handle %d: %d", device_id, ret);
*free = 0;
return;
}
ret = (*h.nvmlDeviceGetMemoryInfo)(device, &memInfo);
if (ret != NVML_SUCCESS) {
LOG(1, "device memory info lookup failure %d: %d", device_id, ret);
*free = 0;
return;
}
*free = memInfo.free;
*total = memInfo.total;
*used = memInfo.used;
}
void nvml_release(nvml_handle_t h) {
LOG(h.verbose, "releasing nvml library\n");
nvmlReturn_t ret;
ret = (*h.nvmlShutdown)();
if (ret != NVML_SUCCESS) {
LOG(1, "error during nvmlShutdown %d", ret);
}
UNLOAD_LIBRARY(h.handle);
h.handle = NULL;
}
#endif // __APPLE__
\ No newline at end of file
ollama/gpu/gpu_info_nvml.h 0 → 100755
View file @ ff27a817
#ifndef __APPLE__
#ifndef __GPU_INFO_NVML_H__
#define __GPU_INFO_NVML_H__
#include "gpu_info.h"
// Just enough typedef's to dlopen/dlsym for memory information
typedef enum nvmlReturn_enum {
NVML_SUCCESS = 0,
// Other values omitted for now...
} nvmlReturn_t;
typedef void *nvmlDevice_t; // Opaque is sufficient
typedef struct nvmlMemory_st {
unsigned long long total;
unsigned long long free;
unsigned long long used;
} nvmlMemory_t;
typedef enum nvmlBrandType_enum
{
NVML_BRAND_UNKNOWN = 0,
} nvmlBrandType_t;
typedef struct nvml_handle {
void *handle;
uint16_t verbose;
nvmlReturn_t (*nvmlInit_v2)(void);
nvmlReturn_t (*nvmlShutdown)(void);
nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(unsigned int, nvmlDevice_t *);
nvmlReturn_t (*nvmlDeviceGetMemoryInfo)(nvmlDevice_t, nvmlMemory_t *);
} nvml_handle_t;
typedef struct nvml_init_resp {
char *err; // If err is non-null handle is invalid
nvml_handle_t ch;
} nvml_init_resp_t;
typedef struct nvml_compute_capability {
char *err;
int major;
int minor;
} nvml_compute_capability_t;
void nvml_init(char *nvml_lib_path, nvml_init_resp_t *resp);
void nvml_get_free(nvml_handle_t ch, int device_id, uint64_t *free, uint64_t *total, uint64_t *used);
void nvml_release(nvml_handle_t ch);
#endif // __GPU_INFO_NVML_H__
#endif // __APPLE__
\ No newline at end of file
ollama/gpu/gpu_info_oneapi.c 0 → 100755
View file @ ff27a817
#ifndef __APPLE__
#include "gpu_info_oneapi.h"
#include <string.h>
void oneapi_init(char *oneapi_lib_path, oneapi_init_resp_t *resp) {
ze_result_t ret;
resp->err = NULL;
resp->oh.devices = NULL;
resp->oh.num_devices = NULL;
resp->oh.drivers = NULL;
resp->oh.num_drivers = 0;
const int buflen = 256;
char buf[buflen + 1];
int i, d;
struct lookup {
char *s;
void **p;
} l[] = {
{"zesInit", (void *)&resp->oh.zesInit},
{"zesDriverGet", (void *)&resp->oh.zesDriverGet},
{"zesDeviceGet", (void *)&resp->oh.zesDeviceGet},
{"zesDeviceGetProperties", (void *)&resp->oh.zesDeviceGetProperties},
{"zesDeviceEnumMemoryModules",
(void *)&resp->oh.zesDeviceEnumMemoryModules},
{"zesMemoryGetProperties", (void *)&resp->oh.zesMemoryGetProperties},
{"zesMemoryGetState", (void *)&resp->oh.zesMemoryGetState},
{NULL, NULL},
};
resp->oh.handle = LOAD_LIBRARY(oneapi_lib_path, RTLD_LAZY);
if (!resp->oh.handle) {
char *msg = LOAD_ERR();
snprintf(buf, buflen,
"Unable to load %s library to query for Intel GPUs: %s\n",
oneapi_lib_path, msg);
free(msg);
resp->err = strdup(buf);
return;
}
// TODO once we've squashed the remaining corner cases remove this log
LOG(resp->oh.verbose,
"wiring Level-Zero management library functions in %s\n",
oneapi_lib_path);
for (i = 0; l[i].s != NULL; i++) {
// TODO once we've squashed the remaining corner cases remove this log
LOG(resp->oh.verbose, "dlsym: %s\n", l[i].s);
*l[i].p = LOAD_SYMBOL(resp->oh.handle, l[i].s);
if (!l[i].p) {
resp->oh.handle = NULL;
char *msg = LOAD_ERR();
LOG(resp->oh.verbose, "dlerr: %s\n", msg);
UNLOAD_LIBRARY(resp->oh.handle);
snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s, msg);
free(msg);
resp->err = strdup(buf);
return;
}
}
LOG(resp->oh.verbose, "calling zesInit\n");
ret = (*resp->oh.zesInit)(0);
if (ret != ZE_RESULT_SUCCESS) {
LOG(resp->oh.verbose, "zesInit err: %x\n", ret);
snprintf(buf, buflen, "oneapi vram init failure: %x", ret);
resp->err = strdup(buf);
oneapi_release(resp->oh);
return;
}
LOG(resp->oh.verbose, "calling zesDriverGet\n");
ret = (*resp->oh.zesDriverGet)(&resp->oh.num_drivers, NULL);
if (ret != ZE_RESULT_SUCCESS) {
LOG(resp->oh.verbose, "zesDriverGet err: %x\n", ret);
snprintf(buf, buflen, "unable to get driver count: %x", ret);
resp->err = strdup(buf);
oneapi_release(resp->oh);
return;
}
LOG(resp->oh.verbose, "oneapi driver count: %d\n", resp->oh.num_drivers);
resp->oh.drivers = malloc(resp->oh.num_drivers * sizeof(zes_driver_handle_t));
resp->oh.num_devices = malloc(resp->oh.num_drivers * sizeof(uint32_t));
memset(&resp->oh.num_devices[0], 0, resp->oh.num_drivers * sizeof(uint32_t));
resp->oh.devices =
malloc(resp->oh.num_drivers * sizeof(zes_device_handle_t *));
ret = (*resp->oh.zesDriverGet)(&resp->oh.num_drivers, &resp->oh.drivers[0]);
if (ret != ZE_RESULT_SUCCESS) {
LOG(resp->oh.verbose, "zesDriverGet err: %x\n", ret);
snprintf(buf, buflen, "unable to get driver count: %x", ret);
resp->err = strdup(buf);
oneapi_release(resp->oh);
return;
}
for (d = 0; d < resp->oh.num_drivers; d++) {
LOG(resp->oh.verbose, "calling zesDeviceGet count %d: %p\n", d, resp->oh.drivers[d]);
ret = (*resp->oh.zesDeviceGet)(resp->oh.drivers[d],
&resp->oh.num_devices[d], NULL);
if (ret != ZE_RESULT_SUCCESS) {
LOG(resp->oh.verbose, "zesDeviceGet err: %x\n", ret);
snprintf(buf, buflen, "unable to get device count: %x", ret);
resp->err = strdup(buf);
oneapi_release(resp->oh);
return;
}
resp->oh.devices[d] =
malloc(resp->oh.num_devices[d] * sizeof(zes_device_handle_t));
ret = (*resp->oh.zesDeviceGet)(
resp->oh.drivers[d], &resp->oh.num_devices[d], resp->oh.devices[d]);
if (ret != ZE_RESULT_SUCCESS) {
LOG(resp->oh.verbose, "zesDeviceGet err: %x\n", ret);
snprintf(buf, buflen, "unable to get device count: %x", ret);
resp->err = strdup(buf);
oneapi_release(resp->oh);
return;
}
}
return;
}
void oneapi_check_vram(oneapi_handle_t h, int driver, int device,
mem_info_t *resp) {
ze_result_t ret;
resp->err = NULL;
uint64_t totalMem = 0;
uint64_t usedMem = 0;
const int buflen = 256;
char buf[buflen + 1];
int i, d, m;
if (h.handle == NULL) {
resp->err = strdup("Level-Zero handle not initialized");
return;
}
if (driver > h.num_drivers || device > h.num_devices[driver]) {
resp->err = strdup("driver of device index out of bounds");
return;
}
resp->total = 0;
resp->free = 0;
zes_device_ext_properties_t ext_props;
ext_props.stype = ZES_STRUCTURE_TYPE_DEVICE_EXT_PROPERTIES;
ext_props.pNext = NULL;
zes_device_properties_t props;
props.stype = ZES_STRUCTURE_TYPE_DEVICE_PROPERTIES;
props.pNext = &ext_props;
ret = (*h.zesDeviceGetProperties)(h.devices[driver][device], &props);
if (ret != ZE_RESULT_SUCCESS) {
snprintf(buf, buflen, "unable to get device properties: %d", ret);
resp->err = strdup(buf);
return;
}
snprintf(&resp->gpu_name[0], GPU_NAME_LEN, "%s", props.modelName);
// TODO this needs to map to ONEAPI_DEVICE_SELECTOR syntax
// (this is probably wrong...)
// TODO - the driver isn't included - what if there are multiple drivers?
snprintf(&resp->gpu_id[0], GPU_ID_LEN, "%d", device);
if (h.verbose) {
// When in verbose mode, report more information about
// the card we discover.
LOG(h.verbose, "[%d:%d] oneAPI device name: %s\n", driver, device,
props.modelName);
LOG(h.verbose, "[%d:%d] oneAPI brand: %s\n", driver, device,
props.brandName);
LOG(h.verbose, "[%d:%d] oneAPI vendor: %s\n", driver, device,
props.vendorName);
LOG(h.verbose, "[%d:%d] oneAPI S/N: %s\n", driver, device,
props.serialNumber);
LOG(h.verbose, "[%d:%d] oneAPI board number: %s\n", driver, device,
props.boardNumber);
}
// TODO
// Compute Capability equivalent in resp->major, resp->minor, resp->patch
uint32_t memCount = 0;
ret = (*h.zesDeviceEnumMemoryModules)(h.devices[driver][device], &memCount,
NULL);
if (ret != ZE_RESULT_SUCCESS) {
snprintf(buf, buflen, "unable to enumerate Level-Zero memory modules: %x",
ret);
resp->err = strdup(buf);
return;
}
LOG(h.verbose, "discovered %d Level-Zero memory modules\n", memCount);
zes_mem_handle_t *mems = malloc(memCount * sizeof(zes_mem_handle_t));
(*h.zesDeviceEnumMemoryModules)(h.devices[driver][device], &memCount, mems);
for (m = 0; m < memCount; m++) {
zes_mem_state_t state;
state.stype = ZES_STRUCTURE_TYPE_MEM_STATE;
state.pNext = NULL;
ret = (*h.zesMemoryGetState)(mems[m], &state);
if (ret != ZE_RESULT_SUCCESS) {
snprintf(buf, buflen, "unable to get memory state: %x", ret);
resp->err = strdup(buf);
free(mems);
return;
}
resp->total += state.size;
resp->free += state.free;
}
free(mems);
}
void oneapi_release(oneapi_handle_t h) {
int d;
LOG(h.verbose, "releasing oneapi library\n");
for (d = 0; d < h.num_drivers; d++) {
if (h.devices != NULL && h.devices[d] != NULL) {
free(h.devices[d]);
}
}
if (h.devices != NULL) {
free(h.devices);
h.devices = NULL;
}
if (h.num_devices != NULL) {
free(h.num_devices);
h.num_devices = NULL;
}
if (h.drivers != NULL) {
free(h.drivers);
h.drivers = NULL;
}
h.num_drivers = 0;
UNLOAD_LIBRARY(h.handle);
h.handle = NULL;
}
int oneapi_get_device_count(oneapi_handle_t h, int driver) {
if (h.handle == NULL || h.num_devices == NULL) {
return 0;
}
if (driver > h.num_drivers) {
return 0;
}
return (int)h.num_devices[driver];
}
#endif // __APPLE__
ollama/gpu/gpu_info_oneapi.h 0 → 100755
View file @ ff27a817
#ifndef __APPLE__
#ifndef __GPU_INFO_ONEAPI_H__
#define __GPU_INFO_ONEAPI_H__
#include "gpu_info.h"
#define ZE_MAX_DEVICE_NAME 256
#define ZE_MAX_DEVICE_UUID_SIZE 16
#define ZES_STRING_PROPERTY_SIZE 64
#define ZE_BIT(_i) (1 << _i)
// Just enough typedef's to dlopen/dlsym for memory information
typedef enum ze_result_t {
ZE_RESULT_SUCCESS = 0,
// Other values omitted for now...
} ze_result_t;
typedef uint8_t ze_bool_t;
typedef struct _zes_driver_handle_t *zes_driver_handle_t;
typedef struct _zes_device_handle_t *zes_device_handle_t;
typedef struct _zes_mem_handle_t *zes_mem_handle_t;
typedef enum _ze_structure_type_t {
ZE_STRUCTURE_TYPE_FORCE_UINT32 = 0x7fffffff
} ze_structure_type_t;
typedef enum _zes_structure_type_t {
ZES_STRUCTURE_TYPE_DEVICE_PROPERTIES = 0x1,
ZES_STRUCTURE_TYPE_MEM_PROPERTIES = 0xb,
ZES_STRUCTURE_TYPE_MEM_STATE = 0x1e,
ZES_STRUCTURE_TYPE_DEVICE_EXT_PROPERTIES = 0x2d,
ZES_STRUCTURE_TYPE_FORCE_UINT32 = 0x7fffffff
} zes_structure_type_t;
typedef enum _zes_mem_type_t {
ZES_MEM_TYPE_FORCE_UINT32 = 0x7fffffff
} zes_mem_type_t;
typedef enum _zes_mem_loc_t {
ZES_MEM_LOC_SYSTEM = 0,
ZES_MEM_LOC_DEVICE = 1,
ZES_MEM_LOC_FORCE_UINT32 = 0x7fffffff
} zes_mem_loc_t;
typedef enum _zes_mem_health_t {
ZES_MEM_HEALTH_FORCE_UINT32 = 0x7fffffff
} zes_mem_health_t;
typedef struct _ze_device_uuid_t {
uint8_t id[ZE_MAX_DEVICE_UUID_SIZE];
} ze_device_uuid_t;
typedef struct _zes_uuid_t {
uint8_t id[ZE_MAX_DEVICE_UUID_SIZE];
} zes_uuid_t;
typedef enum _ze_device_type_t {
ZE_DEVICE_TYPE_GPU = 1,
ZE_DEVICE_TYPE_CPU = 2,
ZE_DEVICE_TYPE_FPGA = 3,
ZE_DEVICE_TYPE_MCA = 4,
ZE_DEVICE_TYPE_VPU = 5,
ZE_DEVICE_TYPE_FORCE_UINT32 = 0x7fffffff
} ze_device_type_t;
typedef enum _zes_device_type_t {
ZES_DEVICE_TYPE_GPU = 1,
ZES_DEVICE_TYPE_CPU = 2,
ZES_DEVICE_TYPE_FPGA = 3,
ZES_DEVICE_TYPE_MCA = 4,
ZES_DEVICE_TYPE_VPU = 5,
ZES_DEVICE_TYPE_FORCE_UINT32 = 0x7fffffff
} zes_device_type_t;
typedef uint32_t ze_device_property_flags_t;
typedef enum _ze_device_property_flag_t {
ZE_DEVICE_PROPERTY_FLAG_INTEGRATED = ZE_BIT(0),
ZE_DEVICE_PROPERTY_FLAG_SUBDEVICE = ZE_BIT(1),
ZE_DEVICE_PROPERTY_FLAG_ECC = ZE_BIT(2),
ZE_DEVICE_PROPERTY_FLAG_ONDEMANDPAGING = ZE_BIT(3),
ZE_DEVICE_PROPERTY_FLAG_FORCE_UINT32 = 0x7fffffff
} ze_device_property_flag_t;
typedef uint32_t zes_device_property_flags_t;
typedef enum _zes_device_property_flag_t {
ZES_DEVICE_PROPERTY_FLAG_INTEGRATED = ZE_BIT(0),
ZES_DEVICE_PROPERTY_FLAG_SUBDEVICE = ZE_BIT(1),
ZES_DEVICE_PROPERTY_FLAG_ECC = ZE_BIT(2),
ZES_DEVICE_PROPERTY_FLAG_ONDEMANDPAGING = ZE_BIT(3),
ZES_DEVICE_PROPERTY_FLAG_FORCE_UINT32 = 0x7fffffff
} zes_device_property_flag_t;
typedef struct _ze_device_properties_t {
ze_structure_type_t stype;
void *pNext;
ze_device_type_t type;
uint32_t vendorId;
uint32_t deviceId;
ze_device_property_flags_t flags;
uint32_t subdeviceId;
uint32_t coreClockRate;
uint64_t maxMemAllocSize;
uint32_t maxHardwareContexts;
uint32_t maxCommandQueuePriority;
uint32_t numThreadsPerEU;
uint32_t physicalEUSimdWidth;
uint32_t numEUsPerSubslice;
uint32_t numSubslicesPerSlice;
uint32_t numSlices;
uint64_t timerResolution;
uint32_t timestampValidBits;
uint32_t kernelTimestampValidBits;
ze_device_uuid_t uuid;
char name[ZE_MAX_DEVICE_NAME];
} ze_device_properties_t;
typedef struct _zes_device_properties_t {
zes_structure_type_t stype;
void *pNext;
ze_device_properties_t core;
uint32_t numSubdevices;
char serialNumber[ZES_STRING_PROPERTY_SIZE];
char boardNumber[ZES_STRING_PROPERTY_SIZE];
char brandName[ZES_STRING_PROPERTY_SIZE];
char modelName[ZES_STRING_PROPERTY_SIZE];
char vendorName[ZES_STRING_PROPERTY_SIZE];
char driverVersion[ZES_STRING_PROPERTY_SIZE];
} zes_device_properties_t;
typedef struct _zes_device_ext_properties_t {
zes_structure_type_t stype;
void *pNext;
zes_uuid_t uuid;
zes_device_type_t type;
zes_device_property_flags_t flags;
} zes_device_ext_properties_t;
typedef struct _zes_mem_properties_t {
zes_structure_type_t stype;
void *pNext;
zes_mem_type_t type;
ze_bool_t onSubdevice;
uint32_t subdeviceId;
zes_mem_loc_t location;
uint64_t physicalSize;
int32_t busWidth;
int32_t numChannels;
} zes_mem_properties_t;
typedef struct _zes_mem_state_t {
zes_structure_type_t stype;
const void *pNext;
zes_mem_health_t health;
uint64_t free;
uint64_t size;
} zes_mem_state_t;
typedef struct oneapi_handle {
void *handle;
uint16_t verbose;
uint32_t num_drivers;
zes_driver_handle_t *drivers;
uint32_t *num_devices;
zes_device_handle_t **devices;
// TODO Driver major, minor information
// int driver_major;
// int driver_minor;
ze_result_t (*zesInit)(int);
ze_result_t (*zesDriverGet)(uint32_t *pCount, zes_driver_handle_t *phDrivers);
ze_result_t (*zesDeviceGet)(zes_driver_handle_t hDriver, uint32_t *pCount,
zes_device_handle_t *phDevices);
ze_result_t (*zesDeviceGetProperties)(zes_device_handle_t hDevice,
zes_device_properties_t *pProperties);
ze_result_t (*zesDeviceEnumMemoryModules)(zes_device_handle_t hDevice,
uint32_t *pCount,
zes_mem_handle_t *phMemory);
ze_result_t (*zesMemoryGetProperties)(zes_mem_handle_t hMemory,
zes_mem_properties_t *pProperties);
ze_result_t (*zesMemoryGetState)(zes_mem_handle_t hMemory,
zes_mem_state_t *pState);
} oneapi_handle_t;
typedef struct oneapi_init_resp {
char *err; // If err is non-null handle is invalid
oneapi_handle_t oh;
} oneapi_init_resp_t;
typedef struct oneapi_version_resp {
ze_result_t status;
char *str; // Contains version or error string if status != 0
} oneapi_version_resp_t;
void oneapi_init(char *oneapi_lib_path, oneapi_init_resp_t *resp);
void oneapi_check_vram(oneapi_handle_t h, int driver, int device,
mem_info_t *resp);
void oneapi_release(oneapi_handle_t h);
int oneapi_get_device_count(oneapi_handle_t h, int driver);
#endif // __GPU_INFO_INTEL_H__
#endif // __APPLE__
ollama/gpu/gpu_linux.go 0 → 100755
View file @ ff27a817
package gpu
import (
"bufio"
"fmt"
"os"
"strings"
"github.com/ollama/ollama/format"
)
var CudartGlobs = []string{
"/usr/local/cuda/lib64/libcudart.so*",
"/usr/lib/x86_64-linux-gnu/nvidia/current/libcudart.so*",
"/usr/lib/x86_64-linux-gnu/libcudart.so*",
"/usr/lib/wsl/lib/libcudart.so*",
"/usr/lib/wsl/drivers/*/libcudart.so*",
"/opt/cuda/lib64/libcudart.so*",
"/usr/local/cuda*/targets/aarch64-linux/lib/libcudart.so*",
"/usr/lib/aarch64-linux-gnu/nvidia/current/libcudart.so*",
"/usr/lib/aarch64-linux-gnu/libcudart.so*",
"/usr/local/cuda/lib*/libcudart.so*",
"/usr/lib*/libcudart.so*",
"/usr/local/lib*/libcudart.so*",
}
var NvmlGlobs = []string{}
var NvcudaGlobs = []string{
"/usr/local/cuda*/targets/*/lib/libcuda.so*",
"/usr/lib/*-linux-gnu/nvidia/current/libcuda.so*",
"/usr/lib/*-linux-gnu/libcuda.so*",
"/usr/lib/wsl/lib/libcuda.so*",
"/usr/lib/wsl/drivers/*/libcuda.so*",
"/opt/cuda/lib*/libcuda.so*",
"/usr/local/cuda/lib*/libcuda.so*",
"/usr/lib*/libcuda.so*",
"/usr/local/lib*/libcuda.so*",
}
var OneapiGlobs = []string{
"/usr/lib/x86_64-linux-gnu/libze_intel_gpu.so*",
"/usr/lib*/libze_intel_gpu.so*",
}
var CudartMgmtName = "libcudart.so*"
var NvcudaMgmtName = "libcuda.so*"
var NvmlMgmtName = "" // not currently wired on linux
var OneapiMgmtName = "libze_intel_gpu.so"
func GetCPUMem() (memInfo, error) {
var mem memInfo
var total, available, free, buffers, cached uint64
f, err := os.Open("/proc/meminfo")
if err != nil {
return mem, err
}
defer f.Close()
s := bufio.NewScanner(f)
for s.Scan() {
line := s.Text()
switch {
case strings.HasPrefix(line, "MemTotal:"):
_, err = fmt.Sscanf(line, "MemTotal:%d", &total)
case strings.HasPrefix(line, "MemAvailable:"):
_, err = fmt.Sscanf(line, "MemAvailable:%d", &available)
case strings.HasPrefix(line, "MemFree:"):
_, err = fmt.Sscanf(line, "MemFree:%d", &free)
case strings.HasPrefix(line, "Buffers:"):
_, err = fmt.Sscanf(line, "Buffers:%d", &buffers)
case strings.HasPrefix(line, "Cached:"):
_, err = fmt.Sscanf(line, "Cached:%d", &cached)
default:
continue
}
if err != nil {
return mem, err
}
if total > 0 && available > 0 {
mem.TotalMemory = total * format.KibiByte
mem.FreeMemory = available * format.KibiByte
return mem, nil
}
}
mem.TotalMemory = total * format.KibiByte
mem.FreeMemory = (free + buffers + cached) * format.KibiByte
return mem, nil
}
ollama/gpu/gpu_oneapi.go 0 → 100755
View file @ ff27a817
//go:build linux || windows
package gpu
import (
"log/slog"
"strings"
)
func oneapiGetVisibleDevicesEnv(gpuInfo []GpuInfo) (string, string) {
ids := []string{}
for _, info := range gpuInfo {
if info.Library != "oneapi" {
// TODO shouldn't happen if things are wired correctly...
slog.Debug("oneapiGetVisibleDevicesEnv skipping over non-sycl device", "library", info.Library)
continue
}
ids = append(ids, info.ID)
}
return "ONEAPI_DEVICE_SELECTOR", "level_zero:" + strings.Join(ids, ",")
}
ollama/gpu/gpu_test.go 0 → 100755
View file @ ff27a817
package gpu
import (
"runtime"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestBasicGetGPUInfo(t *testing.T) {
info := GetGPUInfo()
assert.NotEmpty(t, len(info))
assert.Contains(t, "cuda rocm cpu metal", info[0].Library)
if info[0].Library != "cpu" {
assert.Greater(t, info[0].TotalMemory, uint64(0))
assert.Greater(t, info[0].FreeMemory, uint64(0))
}
}
func TestCPUMemInfo(t *testing.T) {
info, err := GetCPUMem()
require.NoError(t, err)
switch runtime.GOOS {
case "darwin":
t.Skip("CPU memory not populated on darwin")
case "linux", "windows":
assert.Greater(t, info.TotalMemory, uint64(0))
assert.Greater(t, info.FreeMemory, uint64(0))
default:
return
}
}
// TODO - add some logic to figure out card type through other means and actually verify we got back what we expected
ollama/gpu/gpu_windows.go 0 → 100755
View file @ ff27a817
package gpu
import (
"fmt"
"syscall"
"unsafe"
)
type MEMORYSTATUSEX struct {
length uint32
MemoryLoad uint32
TotalPhys uint64
AvailPhys uint64
TotalPageFile uint64
AvailPageFile uint64
TotalVirtual uint64
AvailVirtual uint64
AvailExtendedVirtual uint64
}
var (
k32 = syscall.NewLazyDLL("kernel32.dll")
globalMemoryStatusExProc = k32.NewProc("GlobalMemoryStatusEx")
sizeofMemoryStatusEx = uint32(unsafe.Sizeof(MEMORYSTATUSEX{}))
)
var CudartGlobs = []string{
"c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll",
}
var NvmlGlobs = []string{
"c:\\Windows\\System32\\nvml.dll",
}
var NvcudaGlobs = []string{
"c:\\windows\\system*\\nvcuda.dll",
}
var OneapiGlobs = []string{
"c:\\Windows\\System32\\DriverStore\\FileRepository\\*\\ze_intel_gpu64.dll",
}
var CudartMgmtName = "cudart64_*.dll"
var NvcudaMgmtName = "nvcuda.dll"
var NvmlMgmtName = "nvml.dll"
var OneapiMgmtName = "ze_intel_gpu64.dll"
func GetCPUMem() (memInfo, error) {
memStatus := MEMORYSTATUSEX{length: sizeofMemoryStatusEx}
r1, _, err := globalMemoryStatusExProc.Call(uintptr(unsafe.Pointer(&memStatus)))
if r1 == 0 {
return memInfo{}, fmt.Errorf("GlobalMemoryStatusEx failed: %w", err)
}
return memInfo{TotalMemory: memStatus.TotalPhys, FreeMemory: memStatus.AvailPhys}, nil
}
ollama/gpu/types.go 0 → 100755
View file @ ff27a817
package gpu
import (
"fmt"
"log/slog"
"github.com/ollama/ollama/format"
)
type memInfo struct {
TotalMemory uint64 `json:"total_memory,omitempty"`
FreeMemory uint64 `json:"free_memory,omitempty"`
}
// Beginning of an `ollama info` command
type GpuInfo struct {
memInfo
Library string `json:"library,omitempty"`
// Optional variant to select (e.g. versions, cpu feature flags)
Variant CPUCapability `json:"variant"`
// MinimumMemory represents the minimum memory required to use the GPU
MinimumMemory uint64 `json:"-"`
// Any extra PATH/LD_LIBRARY_PATH dependencies required for the Library to operate properly
DependencyPath string `json:"lib_path,omitempty"`
// Extra environment variables specific to the GPU as list of [key,value]
EnvWorkarounds [][2]string `json:"envs,omitempty"`
// GPU information
ID string `json:"gpu_id"` // string to use for selection of this specific GPU
Name string `json:"name"` // user friendly name if available
Compute string `json:"compute"` // Compute Capability or gfx
// Driver Information - TODO no need to put this on each GPU
DriverMajor int `json:"driver_major,omitempty"`
DriverMinor int `json:"driver_minor,omitempty"`
// TODO other performance capability info to help in scheduling decisions
}
type CPUInfo struct {
GpuInfo
}
type CudaGPUInfo struct {
GpuInfo
index int //nolint:unused,nolintlint
}
type CudaGPUInfoList []CudaGPUInfo
type RocmGPUInfo struct {
GpuInfo
usedFilepath string //nolint:unused,nolintlint
index int //nolint:unused,nolintlint
}
type RocmGPUInfoList []RocmGPUInfo
type OneapiGPUInfo struct {
GpuInfo
driverIndex int //nolint:unused,nolintlint
gpuIndex int //nolint:unused,nolintlint
}
type OneapiGPUInfoList []OneapiGPUInfo
type GpuInfoList []GpuInfo
// Split up the set of gpu info's by Library and variant
func (l GpuInfoList) ByLibrary() []GpuInfoList {
resp := []GpuInfoList{}
libs := []string{}
for _, info := range l {
found := false
requested := info.Library
if info.Variant != CPUCapabilityNone {
requested += "_" + info.Variant.String()
}
for i, lib := range libs {
if lib == requested {
resp[i] = append(resp[i], info)
found = true
break
}
}
if !found {
libs = append(libs, info.Library)
resp = append(resp, []GpuInfo{info})
}
}
return resp
}
// Report the GPU information into the log an Info level
func (l GpuInfoList) LogDetails() {
for _, g := range l {
slog.Info("inference compute",
"id", g.ID,
"library", g.Library,
"compute", g.Compute,
"driver", fmt.Sprintf("%d.%d", g.DriverMajor, g.DriverMinor),
"name", g.Name,
"total", format.HumanBytes2(g.TotalMemory),
"available", format.HumanBytes2(g.FreeMemory),
)
}
}
// Sort by Free Space
type ByFreeMemory []GpuInfo
func (a ByFreeMemory) Len() int { return len(a) }
func (a ByFreeMemory) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
func (a ByFreeMemory) Less(i, j int) bool { return a[i].FreeMemory < a[j].FreeMemory }
type CPUCapability uint32
// Override at build time when building base GPU runners
var GPURunnerCPUCapability = CPUCapabilityAVX
const (
CPUCapabilityNone CPUCapability = iota
CPUCapabilityAVX
CPUCapabilityAVX2
// TODO AVX512
)
func (c CPUCapability) String() string {
switch c {
case CPUCapabilityAVX:
return "avx"
case CPUCapabilityAVX2:
return "avx2"
default:
return "no vector extensions"
}
}
ollama/integration/README.md 0 → 100755
View file @ ff27a817
# Integration Tests
This directory contains integration tests to exercise Ollama end-to-end to verify behavior
By default, these tests are disabled so `go test ./...` will exercise only unit tests. To run integration tests you must pass the integration tag. `go test -tags=integration ./...`
The integration tests have 2 modes of operating.
1. By default, they will start the server on a random port, run the tests, and then shutdown the server.
2. If `OLLAMA_TEST_EXISTING` is set to a non-empty string, the tests will run against an existing running server, which can be remote
ollama/integration/basic_test.go 0 → 100755
View file @ ff27a817
//go:build integration
package integration
import (
"context"
"log/slog"
"os"
"runtime"
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/require"
)
func TestOrcaMiniBlueSky(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
// Set up the test data
req := api.GenerateRequest{
Model: "orca-mini",
Prompt: "why is the sky blue?",
Stream: &stream,
Options: map[string]interface{}{
"temperature": 0,
"seed": 123,
},
}
GenerateTestHelper(ctx, t, req, []string{"rayleigh", "scattering"})
}
func TestUnicodeModelDir(t *testing.T) {
// This is only useful for Windows with utf-16 characters, so skip this test for other platforms
if runtime.GOOS != "windows" {
t.Skip("Unicode test only applicable to windows")
}
// Only works for local testing
if os.Getenv("OLLAMA_TEST_EXISTING") != "" {
t.Skip("TestUnicodeModelDir only works for local testing, skipping")
}
modelDir, err := os.MkdirTemp("", "ollama_埃")
require.NoError(t, err)
defer os.RemoveAll(modelDir)
slog.Info("unicode", "OLLAMA_MODELS", modelDir)
oldModelsDir := os.Getenv("OLLAMA_MODELS")
if oldModelsDir == "" {
defer os.Unsetenv("OLLAMA_MODELS")
} else {
defer os.Setenv("OLLAMA_MODELS", oldModelsDir)
}
err = os.Setenv("OLLAMA_MODELS", modelDir)
require.NoError(t, err)
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
req := api.GenerateRequest{
Model: "orca-mini",
Prompt: "why is the sky blue?",
Stream: &stream,
Options: map[string]interface{}{
"temperature": 0,
"seed": 123,
},
}
GenerateTestHelper(ctx, t, req, []string{"rayleigh", "scattering"})
}
ollama/integration/concurrency_test.go 0 → 100755
View file @ ff27a817
//go:build integration
package integration
import (
"context"
"log/slog"
"os"
"strconv"
"sync"
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/require"
)
func TestMultiModelConcurrency(t *testing.T) {
var (
req = [2]api.GenerateRequest{
{
Model: "orca-mini",
Prompt: "why is the ocean blue?",
Stream: &stream,
KeepAlive: &api.Duration{Duration: 10 * time.Second},
Options: map[string]interface{}{
"seed": 42,
"temperature": 0.0,
},
}, {
Model: "tinydolphin",
Prompt: "what is the origin of the us thanksgiving holiday?",
Stream: &stream,
KeepAlive: &api.Duration{Duration: 10 * time.Second},
Options: map[string]interface{}{
"seed": 42,
"temperature": 0.0,
},
},
}
resp = [2][]string{
[]string{"sunlight"},
[]string{"england", "english", "massachusetts", "pilgrims", "british"},
}
)
var wg sync.WaitGroup
wg.Add(len(req))
ctx, cancel := context.WithTimeout(context.Background(), time.Second*240)
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
for i := 0; i < len(req); i++ {
require.NoError(t, PullIfMissing(ctx, client, req[i].Model))
}
for i := 0; i < len(req); i++ {
go func(i int) {
defer wg.Done()
DoGenerate(ctx, t, client, req[i], resp[i], 60*time.Second, 10*time.Second)
}(i)
}
wg.Wait()
}
func TestIntegrationConcurrentPredictOrcaMini(t *testing.T) {
req, resp := GenerateRequests()
reqLimit := len(req)
iterLimit := 5
vram := os.Getenv("OLLAMA_MAX_VRAM")
if vram != "" {
max, err := strconv.ParseUint(vram, 10, 64)
require.NoError(t, err)
// Don't hammer on small VRAM cards...
if max < 4*1024*1024*1024 {
reqLimit = min(reqLimit, 2)
iterLimit = 2
}
}
ctx, cancel := context.WithTimeout(context.Background(), 9*time.Minute)
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
// Get the server running (if applicable) warm the model up with a single initial request
DoGenerate(ctx, t, client, req[0], resp[0], 60*time.Second, 10*time.Second)
var wg sync.WaitGroup
wg.Add(reqLimit)
for i := 0; i < reqLimit; i++ {
go func(i int) {
defer wg.Done()
for j := 0; j < iterLimit; j++ {
slog.Info("Starting", "req", i, "iter", j)
// On slower GPUs it can take a while to process the concurrent requests
// so we allow a much longer initial timeout
DoGenerate(ctx, t, client, req[i], resp[i], 120*time.Second, 20*time.Second)
}
}(i)
}
wg.Wait()
}
// Stress the system if we know how much VRAM it has, and attempt to load more models than will fit
func TestMultiModelStress(t *testing.T) {
vram := os.Getenv("OLLAMA_MAX_VRAM")
if vram == "" {
t.Skip("OLLAMA_MAX_VRAM not specified, can't pick the right models for the stress test")
}
max, err := strconv.ParseUint(vram, 10, 64)
require.NoError(t, err)
const MB = uint64(1024 * 1024)
type model struct {
name string
size uint64 // Approximate amount of VRAM they typically use when fully loaded in VRAM
}
smallModels := []model{
{
name: "orca-mini",
size: 2992 * MB,
},
{
name: "phi",
size: 2616 * MB,
},
{
name: "gemma:2b",
size: 2364 * MB,
},
{
name: "stable-code:3b",
size: 2608 * MB,
},
{
name: "starcoder2:3b",
size: 2166 * MB,
},
}
mediumModels := []model{
{
name: "llama2",
size: 5118 * MB,
},
{
name: "mistral",
size: 4620 * MB,
},
{
name: "orca-mini:7b",
size: 5118 * MB,
},
{
name: "dolphin-mistral",
size: 4620 * MB,
},
{
name: "gemma:7b",
size: 5000 * MB,
},
// TODO - uncomment this once #3565 is merged and this is rebased on it
// {
// name: "codellama:7b",
// size: 5118 * MB,
// },
}
// These seem to be too slow to be useful...
// largeModels := []model{
// {
// name: "llama2:13b",
// size: 7400 * MB,
// },
// {
// name: "codellama:13b",
// size: 7400 * MB,
// },
// {
// name: "orca-mini:13b",
// size: 7400 * MB,
// },
// {
// name: "gemma:7b",
// size: 5000 * MB,
// },
// {
// name: "starcoder2:15b",
// size: 9100 * MB,
// },
// }
var chosenModels []model
switch {
case max < 10000*MB:
slog.Info("selecting small models")
chosenModels = smallModels
// case max < 30000*MB:
default:
slog.Info("selecting medium models")
chosenModels = mediumModels
// default:
// slog.Info("selecting large models")
// chosenModels = largModels
}
req, resp := GenerateRequests()
for i := range req {
if i > len(chosenModels) {
break
}
req[i].Model = chosenModels[i].name
}
ctx, cancel := context.WithTimeout(context.Background(), 15*time.Minute) // TODO baseline -- 10m too short
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
// Make sure all the models are pulled before we get started
for _, r := range req {
require.NoError(t, PullIfMissing(ctx, client, r.Model))
}
var wg sync.WaitGroup
consumed := uint64(256 * MB) // Assume some baseline usage
for i := 0; i < len(req); i++ {
// Always get at least 2 models, but dont' overshoot VRAM too much or we'll take too long
if i > 1 && consumed > max {
slog.Info("achieved target vram exhaustion", "count", i, "vramMB", max/1024/1024, "modelsMB", consumed/1024/1024)
break
}
consumed += chosenModels[i].size
slog.Info("target vram", "count", i, "vramMB", max/1024/1024, "modelsMB", consumed/1024/1024)
wg.Add(1)
go func(i int) {
defer wg.Done()
for j := 0; j < 3; j++ {
slog.Info("Starting", "req", i, "iter", j, "model", req[i].Model)
DoGenerate(ctx, t, client, req[i], resp[i], 120*time.Second, 5*time.Second)
}
}(i)
}
go func() {
for {
time.Sleep(2 * time.Second)
select {
case <-ctx.Done():
return
default:
models, err := client.ListRunning(ctx)
if err != nil {
slog.Warn("failed to list running models", "error", err)
continue
}
for _, m := range models.Models {
slog.Info("loaded model snapshot", "model", m)
}
}
}
}()
wg.Wait()
}
ollama/integration/context_test.go 0 → 100755
View file @ ff27a817
//go:build integration
package integration
import (
"context"
"testing"
"time"
"github.com/ollama/ollama/api"
)
func TestContextExhaustion(t *testing.T) {
// Longer needed for small footprint GPUs
ctx, cancel := context.WithTimeout(context.Background(), 6*time.Minute)
defer cancel()
// Set up the test data
req := api.GenerateRequest{
Model: "llama2",
Prompt: "Write me a story with a ton of emojis?",
Stream: &stream,
Options: map[string]interface{}{
"temperature": 0,
"seed": 123,
"num_ctx": 128,
},
}
GenerateTestHelper(ctx, t, req, []string{"once", "upon", "lived"})
}
ollama/integration/llm_image_test.go 0 → 100755
View file @ ff27a817
//go:build integration
package integration
import (
"context"
"encoding/base64"
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/require"
)
func TestIntegrationMultimodal(t *testing.T) {
image, err := base64.StdEncoding.DecodeString(imageEncoding)
require.NoError(t, err)
req := api.GenerateRequest{
Model: "llava:7b",
Prompt: "what does the text in this image say?",
Stream: &stream,
Options: map[string]interface{}{
"seed": 42,
"temperature": 0.0,
},
Images: []api.ImageData{
image,
},
}
// Note: sometimes it returns "the ollamas" sometimes "the ollams"
resp := "the ollam"
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Minute)
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
require.NoError(t, PullIfMissing(ctx, client, req.Model))
// llava models on CPU can be quite slow to start,
DoGenerate(ctx, t, client, req, []string{resp}, 120*time.Second, 30*time.Second)
}
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ollama/integration/llm_test.go 0 → 100755
View file @ ff27a817
//go:build integration
package integration
import (
"context"
"testing"
"time"
"github.com/ollama/ollama/api"
)
// TODO - this would ideally be in the llm package, but that would require some refactoring of interfaces in the server
// package to avoid circular dependencies
var (
stream = false
req = [2]api.GenerateRequest{
{
Model: "orca-mini",
Prompt: "why is the ocean blue?",
Stream: &stream,
Options: map[string]interface{}{
"seed": 42,
"temperature": 0.0,
},
}, {
Model: "orca-mini",
Prompt: "what is the origin of the us thanksgiving holiday?",
Stream: &stream,
Options: map[string]interface{}{
"seed": 42,
"temperature": 0.0,
},
},
}
resp = [2][]string{
[]string{"sunlight"},
[]string{"england", "english", "massachusetts", "pilgrims"},
}
)
func TestIntegrationSimpleOrcaMini(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), time.Second*120)
defer cancel()
GenerateTestHelper(ctx, t, req[0], resp[0])
}
ollama/integration/max_queue_test.go 0 → 100755
View file @ ff27a817
//go:build integration
package integration
import (
"context"
"errors"
"fmt"
"log/slog"
"os"
"strconv"
"strings"
"sync"
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/require"
)
func TestMaxQueue(t *testing.T) {
if os.Getenv("OLLAMA_TEST_EXISTING") != "" {
t.Skip("Max Queue test requires spawing a local server so we can adjust the queue size")
return
}
// Note: This test can be quite slow when running in CPU mode, so keep the threadCount low unless your on GPU
// Also note that by default Darwin can't sustain > ~128 connections without adjusting limits
threadCount := 32
mq := os.Getenv("OLLAMA_MAX_QUEUE")
if mq != "" {
var err error
threadCount, err = strconv.Atoi(mq)
require.NoError(t, err)
} else {
os.Setenv("OLLAMA_MAX_QUEUE", fmt.Sprintf("%d", threadCount))
}
req := api.GenerateRequest{
Model: "orca-mini",
Prompt: "write a long historical fiction story about christopher columbus. use at least 10 facts from his actual journey",
Options: map[string]interface{}{
"seed": 42,
"temperature": 0.0,
},
}
resp := []string{"explore", "discover", "ocean"}
// CPU mode takes much longer at the limit with a large queue setting
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
require.NoError(t, PullIfMissing(ctx, client, req.Model))
// Context for the worker threads so we can shut them down
// embedCtx, embedCancel := context.WithCancel(ctx)
embedCtx := ctx
var genwg sync.WaitGroup
go func() {
genwg.Add(1)
defer genwg.Done()
slog.Info("Starting generate request")
DoGenerate(ctx, t, client, req, resp, 45*time.Second, 5*time.Second)
slog.Info("generate completed")
}()
// Give the generate a chance to get started before we start hammering on embed requests
time.Sleep(5 * time.Millisecond)
threadCount += 10 // Add a few extra to ensure we push the queue past its limit
busyCount := 0
resetByPeerCount := 0
canceledCount := 0
succesCount := 0
counterMu := sync.Mutex{}
var embedwg sync.WaitGroup
for i := 0; i < threadCount; i++ {
go func(i int) {
embedwg.Add(1)
defer embedwg.Done()
slog.Info("embed started", "id", i)
embedReq := api.EmbeddingRequest{
Model: req.Model,
Prompt: req.Prompt,
Options: req.Options,
}
// Fresh client for every request
client, _ = GetTestEndpoint()
resp, genErr := client.Embeddings(embedCtx, &embedReq)
counterMu.Lock()
defer counterMu.Unlock()
switch {
case genErr == nil:
succesCount++
require.Greater(t, len(resp.Embedding), 5) // somewhat arbitrary, but sufficient to be reasonable
case errors.Is(genErr, context.Canceled):
canceledCount++
case strings.Contains(genErr.Error(), "busy"):
busyCount++
case strings.Contains(genErr.Error(), "connection reset by peer"):
resetByPeerCount++
default:
require.NoError(t, genErr, "%d request failed", i)
}
slog.Info("embed finished", "id", i)
}(i)
}
genwg.Wait()
slog.Info("generate done, waiting for embeds")
embedwg.Wait()
slog.Info("embeds completed", "success", succesCount, "busy", busyCount, "reset", resetByPeerCount, "canceled", canceledCount)
require.Equal(t, resetByPeerCount, 0, "Connections reset by peer, have you updated your fd and socket limits?")
require.True(t, busyCount > 0, "no requests hit busy error but some should have")
require.True(t, canceledCount == 0, "no requests should have been canceled due to timeout")
}
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