"internal/orderedmap/orderedmap_test.go" did not exist on "d087e46bd193b1101cef13e28841185a465a077f"
Commit 0ce8bcfd authored by xuxzh1's avatar xuxzh1 🎱
Browse files

init

parent b0135f4b
......@@ -140,7 +140,8 @@ typedef struct cudart_init_resp {
} cudart_init_resp_t;
void cudart_init(char *cudart_lib_path, cudart_init_resp_t *resp);
void cudart_check_vram(cudart_handle_t ch, int device_id, mem_info_t *resp);
void cudart_bootstrap(cudart_handle_t ch, int device_id, mem_info_t *resp);
// TODO - if we keep this library longer term, add cudart_get_free
void cudart_release(cudart_handle_t ch);
#endif // __GPU_INFO_CUDART_H__
......
......@@ -2,3 +2,4 @@
#include <stdint.h>
uint64_t getRecommendedMaxVRAM();
uint64_t getPhysicalMemory();
uint64_t getFreeMemory();
// go:build darwin
#import <Foundation/Foundation.h>
#import <mach/mach.h>
#include "gpu_info_darwin.h"
uint64_t getRecommendedMaxVRAM() {
......@@ -8,6 +9,27 @@ uint64_t getRecommendedMaxVRAM() {
return result;
}
// getPhysicalMemory returns the total physical memory in bytes
uint64_t getPhysicalMemory() {
return [[NSProcessInfo processInfo] physicalMemory];
return [NSProcessInfo processInfo].physicalMemory;
}
// getFreeMemory returns the total free memory in bytes, including inactive
// memory that can be reclaimed by the system.
uint64_t getFreeMemory() {
mach_port_t host_port = mach_host_self();
mach_msg_type_number_t host_size = sizeof(vm_statistics64_data_t) / sizeof(integer_t);
vm_size_t pagesize;
vm_statistics64_data_t vm_stat;
host_page_size(host_port, &pagesize);
if (host_statistics64(host_port, HOST_VM_INFO64, (host_info64_t)&vm_stat, &host_size) != KERN_SUCCESS) {
return 0;
}
uint64_t free_memory = (uint64_t)vm_stat.free_count * pagesize;
free_memory += (uint64_t)vm_stat.speculative_count * pagesize;
free_memory += (uint64_t)vm_stat.inactive_count * pagesize;
return free_memory;
}
......@@ -7,6 +7,7 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
CUresult ret;
resp->err = NULL;
resp->num_devices = 0;
resp->cudaErr = CUDA_SUCCESS;
const int buflen = 256;
char buf[buflen + 1];
int i;
......@@ -38,12 +39,13 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
nvcuda_lib_path, msg);
free(msg);
resp->err = strdup(buf);
resp->cudaErr = -1;
return;
}
for (i = 0; l[i].s != NULL; i++) {
*l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
if (!*l[i].p) {
if (!*(l[i].p)) {
char *msg = LOAD_ERR();
LOG(resp->ch.verbose, "dlerr: %s\n", msg);
UNLOAD_LIBRARY(resp->ch.handle);
......@@ -52,6 +54,7 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
msg);
free(msg);
resp->err = strdup(buf);
resp->cudaErr = -1;
return;
}
}
......@@ -61,12 +64,9 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
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);
snprintf(buf, buflen, "cuda driver library init failure: %d", ret);
resp->err = strdup(buf);
resp->cudaErr = ret;
return;
}
......@@ -91,12 +91,13 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
resp->ch.handle = NULL;
snprintf(buf, buflen, "unable to get device count: %d", ret);
resp->err = strdup(buf);
resp->cudaErr = ret;
return;
}
}
const int buflen = 256;
void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
void nvcuda_bootstrap(nvcuda_handle_t h, int i, mem_info_t *resp) {
resp->err = NULL;
nvcudaMemory_t memInfo = {0,0};
CUresult ret;
......@@ -106,13 +107,13 @@ void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
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");
resp->err = strdup("cuda driver library handle isn't initialized");
return;
}
ret = (*h.cuDeviceGet)(&device, i);
if (ret != CUDA_SUCCESS) {
snprintf(buf, buflen, "nvcuda device failed to initialize");
snprintf(buf, buflen, "cuda driver library device failed to initialize");
resp->err = strdup(buf);
return;
}
......@@ -168,14 +169,14 @@ void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
// 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 primary device context %d", ret);
snprintf(buf, buflen, "cuda driver library 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);
snprintf(buf, buflen, "cuda driver library device memory info lookup failure %d", ret);
resp->err = strdup(buf);
// Best effort on failure...
(*h.cuCtxDestroy)(ctx);
......@@ -193,12 +194,47 @@ void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
ret = (*h.cuCtxDestroy)(ctx);
if (ret != CUDA_SUCCESS) {
LOG(1, "nvcuda failed to release primary device context %d", ret);
LOG(1, "cuda driver library 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, "cuda driver library 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, "cuda driver library failed to get device context %d", ret);
return;
}
ret = (*h.cuMemGetInfo_v2)(free, total);
if (ret != CUDA_SUCCESS) {
LOG(1, "cuda driver library 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, "cuda driver library failed to release device context %d", ret);
}
}
void nvcuda_release(nvcuda_handle_t h) {
LOG(h.verbose, "releasing nvcuda library\n");
LOG(h.verbose, "releasing cuda driver library\n");
UNLOAD_LIBRARY(h.handle);
// TODO and other context release logic?
h.handle = NULL;
......
......@@ -7,9 +7,12 @@
typedef enum cudaError_enum {
CUDA_SUCCESS = 0,
CUDA_ERROR_INVALID_VALUE = 1,
CUDA_ERROR_MEMORY_ALLOCATION = 2,
CUDA_ERROR_OUT_OF_MEMORY = 2,
CUDA_ERROR_NOT_INITIALIZED = 3,
CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
CUDA_ERROR_NO_DEVICE = 100,
CUDA_ERROR_SYSTEM_DRIVER_MISMATCH = 803,
CUDA_ERROR_UNKNOWN = 999,
// Other values omitted for now...
} CUresult;
......@@ -64,10 +67,12 @@ typedef struct nvcuda_init_resp {
char *err; // If err is non-null handle is invalid
nvcuda_handle_t ch;
int num_devices;
CUresult cudaErr;
} nvcuda_init_resp_t;
void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp);
void nvcuda_check_vram(nvcuda_handle_t ch, int device_id, mem_info_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__
......
#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
#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
......@@ -4,15 +4,17 @@
#include <string.h>
void oneapi_init(char *oneapi_lib_path, oneapi_init_resp_t *resp)
{
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;
struct lookup
{
int i, d;
struct lookup {
char *s;
void **p;
} l[] = {
......@@ -28,8 +30,7 @@ void oneapi_init(char *oneapi_lib_path, oneapi_init_resp_t *resp)
};
resp->oh.handle = LOAD_LIBRARY(oneapi_lib_path, RTLD_LAZY);
if (!resp->oh.handle)
{
if (!resp->oh.handle) {
char *msg = LOAD_ERR();
snprintf(buf, buflen,
"Unable to load %s library to query for Intel GPUs: %s\n",
......@@ -44,14 +45,12 @@ void oneapi_init(char *oneapi_lib_path, oneapi_init_resp_t *resp)
"wiring Level-Zero management library functions in %s\n",
oneapi_lib_path);
for (i = 0; l[i].s != NULL; i++)
{
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)
{
if (!*(l[i].p)) {
resp->oh.handle = NULL;
char *msg = LOAD_ERR();
LOG(resp->oh.verbose, "dlerr: %s\n", msg);
......@@ -63,23 +62,70 @@ void oneapi_init(char *oneapi_lib_path, oneapi_init_resp_t *resp)
}
}
LOG(resp->oh.verbose, "calling zesInit\n");
ret = (*resp->oh.zesInit)(0);
if (ret != ZE_RESULT_SUCCESS)
{
LOG(resp->oh.verbose, "zesInit err: %d\n", ret);
UNLOAD_LIBRARY(resp->oh.handle);
resp->oh.handle = NULL;
snprintf(buf, buflen, "oneapi vram init failure: %d", ret);
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;
}
(*resp->oh.zesDriverGet)(&resp->num_devices, NULL);
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, mem_info_t *resp)
{
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;
......@@ -88,127 +134,126 @@ void oneapi_check_vram(oneapi_handle_t h, mem_info_t *resp)
char buf[buflen + 1];
int i, d, m;
if (h.handle == NULL)
{
if (h.handle == NULL) {
resp->err = strdup("Level-Zero handle not initialized");
return;
}
uint32_t driversCount = 0;
ret = (*h.zesDriverGet)(&driversCount, NULL);
if (ret != ZE_RESULT_SUCCESS)
{
snprintf(buf, buflen, "unable to get driver count: %d", ret);
resp->err = strdup(buf);
if (driver > h.num_drivers || device > h.num_devices[driver]) {
resp->err = strdup("driver of device index out of bounds");
return;
}
LOG(h.verbose, "discovered %d Level-Zero drivers\n", driversCount);
zes_driver_handle_t *allDrivers =
malloc(driversCount * sizeof(zes_driver_handle_t));
(*h.zesDriverGet)(&driversCount, allDrivers);
resp->total = 0;
resp->free = 0;
for (d = 0; d < driversCount; d++)
{
uint32_t deviceCount = 0;
ret = (*h.zesDeviceGet)(allDrivers[d], &deviceCount, NULL);
if (ret != ZE_RESULT_SUCCESS)
{
snprintf(buf, buflen, "unable to get device count: %d", ret);
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(allDrivers);
free(mems);
return;
}
LOG(h.verbose, "discovered %d Level-Zero devices\n", deviceCount);
zes_device_handle_t *devices =
malloc(deviceCount * sizeof(zes_device_handle_t));
(*h.zesDeviceGet)(allDrivers[d], &deviceCount, devices);
for (i = 0; i < deviceCount; i++)
{
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)(devices[i], &props);
if (ret != ZE_RESULT_SUCCESS)
{
snprintf(buf, buflen, "unable to get device properties: %d", ret);
resp->err = strdup(buf);
free(allDrivers);
free(devices);
return;
}
if (h.verbose)
{
// When in verbose mode, report more information about
// the card we discover.
LOG(h.verbose, "[%d] oneAPI device name: %s\n", i,
props.modelName);
LOG(h.verbose, "[%d] oneAPI brand: %s\n", i,
props.brandName);
LOG(h.verbose, "[%d] oneAPI vendor: %s\n", i,
props.vendorName);
LOG(h.verbose, "[%d] oneAPI S/N: %s\n", i,
props.serialNumber);
LOG(h.verbose, "[%d] oneAPI board number: %s\n", i,
props.boardNumber);
}
uint32_t memCount = 0;
ret = (*h.zesDeviceEnumMemoryModules)(devices[i], &memCount, NULL);
if (ret != ZE_RESULT_SUCCESS)
{
snprintf(buf, buflen,
"unable to enumerate Level-Zero memory modules: %d", ret);
resp->err = strdup(buf);
free(allDrivers);
free(devices);
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)(devices[i], &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: %d", ret);
resp->err = strdup(buf);
free(allDrivers);
free(devices);
free(mems);
return;
}
resp->total += state.size;
resp->free += state.free;
}
resp->total += state.size;
resp->free += state.free;
}
free(mems);
}
free(mems);
}
free(devices);
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;
}
free(allDrivers);
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__
......@@ -9,8 +9,7 @@
#define ZE_BIT(_i) (1 << _i)
// Just enough typedef's to dlopen/dlsym for memory information
typedef enum ze_result_t
{
typedef enum ze_result_t {
ZE_RESULT_SUCCESS = 0,
// Other values omitted for now...
} ze_result_t;
......@@ -20,13 +19,11 @@ 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
{
typedef enum _ze_structure_type_t {
ZE_STRUCTURE_TYPE_FORCE_UINT32 = 0x7fffffff
} ze_structure_type_t;
typedef enum _zes_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,
......@@ -34,35 +31,29 @@ typedef enum _zes_structure_type_t
ZES_STRUCTURE_TYPE_FORCE_UINT32 = 0x7fffffff
} zes_structure_type_t;
typedef enum _zes_mem_type_t
{
typedef enum _zes_mem_type_t {
ZES_MEM_TYPE_FORCE_UINT32 = 0x7fffffff
} zes_mem_type_t;
typedef enum _zes_mem_loc_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
{
typedef enum _zes_mem_health_t {
ZES_MEM_HEALTH_FORCE_UINT32 = 0x7fffffff
} zes_mem_health_t;
typedef struct _ze_device_uuid_t
{
typedef struct _ze_device_uuid_t {
uint8_t id[ZE_MAX_DEVICE_UUID_SIZE];
} ze_device_uuid_t;
typedef struct _zes_uuid_t
{
typedef struct _zes_uuid_t {
uint8_t id[ZE_MAX_DEVICE_UUID_SIZE];
} zes_uuid_t;
typedef enum _ze_device_type_t
{
typedef enum _ze_device_type_t {
ZE_DEVICE_TYPE_GPU = 1,
ZE_DEVICE_TYPE_CPU = 2,
ZE_DEVICE_TYPE_FPGA = 3,
......@@ -71,8 +62,7 @@ typedef enum _ze_device_type_t
ZE_DEVICE_TYPE_FORCE_UINT32 = 0x7fffffff
} ze_device_type_t;
typedef enum _zes_device_type_t
{
typedef enum _zes_device_type_t {
ZES_DEVICE_TYPE_GPU = 1,
ZES_DEVICE_TYPE_CPU = 2,
ZES_DEVICE_TYPE_FPGA = 3,
......@@ -82,8 +72,7 @@ typedef enum _zes_device_type_t
} zes_device_type_t;
typedef uint32_t ze_device_property_flags_t;
typedef enum _ze_device_property_flag_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),
......@@ -92,8 +81,7 @@ typedef enum _ze_device_property_flag_t
} ze_device_property_flag_t;
typedef uint32_t zes_device_property_flags_t;
typedef enum _zes_device_property_flag_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),
......@@ -101,8 +89,7 @@ typedef enum _zes_device_property_flag_t
ZES_DEVICE_PROPERTY_FLAG_FORCE_UINT32 = 0x7fffffff
} zes_device_property_flag_t;
typedef struct _ze_device_properties_t
{
typedef struct _ze_device_properties_t {
ze_structure_type_t stype;
void *pNext;
ze_device_type_t type;
......@@ -126,8 +113,7 @@ typedef struct _ze_device_properties_t
char name[ZE_MAX_DEVICE_NAME];
} ze_device_properties_t;
typedef struct _zes_device_properties_t
{
typedef struct _zes_device_properties_t {
zes_structure_type_t stype;
void *pNext;
ze_device_properties_t core;
......@@ -140,8 +126,7 @@ typedef struct _zes_device_properties_t
char driverVersion[ZES_STRING_PROPERTY_SIZE];
} zes_device_properties_t;
typedef struct _zes_device_ext_properties_t
{
typedef struct _zes_device_ext_properties_t {
zes_structure_type_t stype;
void *pNext;
zes_uuid_t uuid;
......@@ -149,8 +134,7 @@ typedef struct _zes_device_ext_properties_t
zes_device_property_flags_t flags;
} zes_device_ext_properties_t;
typedef struct _zes_mem_properties_t
{
typedef struct _zes_mem_properties_t {
zes_structure_type_t stype;
void *pNext;
zes_mem_type_t type;
......@@ -162,8 +146,7 @@ typedef struct _zes_mem_properties_t
int32_t numChannels;
} zes_mem_properties_t;
typedef struct _zes_mem_state_t
{
typedef struct _zes_mem_state_t {
zes_structure_type_t stype;
const void *pNext;
zes_mem_health_t health;
......@@ -171,10 +154,19 @@ typedef struct _zes_mem_state_t
uint64_t size;
} zes_mem_state_t;
typedef struct oneapi_handle
{
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,
......@@ -191,21 +183,21 @@ typedef struct oneapi_handle
} oneapi_handle_t;
typedef struct oneapi_init_resp
{
typedef struct oneapi_init_resp {
char *err; // If err is non-null handle is invalid
int num_devices;
oneapi_handle_t oh;
} oneapi_init_resp_t;
typedef struct oneapi_version_resp
{
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 rh, mem_info_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__
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*"
NvcudaMgmtName = "libcuda.so*"
NvmlMgmtName = "" // not currently wired on linux
OneapiMgmtName = "libze_intel_gpu.so"
)
func GetCPUMem() (memInfo, error) {
var mem memInfo
var total, available, free, buffers, cached, freeSwap 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)
case strings.HasPrefix(line, "SwapFree:"):
_, err = fmt.Sscanf(line, "SwapFree:%d", &freeSwap)
default:
continue
}
if err != nil {
return mem, err
}
}
mem.TotalMemory = total * format.KibiByte
mem.FreeSwap = freeSwap * format.KibiByte
if available > 0 {
mem.FreeMemory = available * format.KibiByte
} else {
mem.FreeMemory = (free + buffers + cached) * format.KibiByte
}
return mem, nil
}
......@@ -5,11 +5,12 @@ import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestBasicGetGPUInfo(t *testing.T) {
info := GetGPUInfo()
assert.Greater(t, len(info), 0)
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))
......@@ -19,7 +20,7 @@ func TestBasicGetGPUInfo(t *testing.T) {
func TestCPUMemInfo(t *testing.T) {
info, err := GetCPUMem()
assert.NoError(t, err)
require.NoError(t, err)
switch runtime.GOOS {
case "darwin":
t.Skip("CPU memory not populated on darwin")
......
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"
NvcudaMgmtName = "nvcuda.dll"
NvmlMgmtName = "nvml.dll"
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, FreeSwap: memStatus.AvailPageFile}, nil
}
......@@ -10,6 +10,7 @@ import (
type memInfo struct {
TotalMemory uint64 `json:"total_memory,omitempty"`
FreeMemory uint64 `json:"free_memory,omitempty"`
FreeSwap uint64 `json:"free_swap,omitempty"`
}
// Beginning of an `ollama info` command
......@@ -18,7 +19,7 @@ type GpuInfo struct {
Library string `json:"library,omitempty"`
// Optional variant to select (e.g. versions, cpu feature flags)
Variant string `json:"variant,omitempty"`
Variant CPUCapability `json:"variant"`
// MinimumMemory represents the minimum memory required to use the GPU
MinimumMemory uint64 `json:"-"`
......@@ -26,6 +27,14 @@ type GpuInfo struct {
// 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"`
// Set to true if we can NOT reliably discover FreeMemory. A value of true indicates
// the FreeMemory is best effort, and may over or under report actual memory usage
// False indicates FreeMemory can generally be trusted on this GPU
UnreliableFreeMemory bool
// 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
......@@ -38,6 +47,31 @@ type GpuInfo struct {
// TODO other performance capability info to help in scheduling decisions
}
type CPUInfo struct {
GpuInfo
}
type CudaGPUInfo struct {
GpuInfo
OSOverhead uint64 // Memory overhead between the driver library and management library
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
......@@ -47,8 +81,8 @@ func (l GpuInfoList) ByLibrary() []GpuInfoList {
for _, info := range l {
found := false
requested := info.Library
if info.Variant != "" {
requested += "_" + info.Variant
if info.Variant != CPUCapabilityNone {
requested += "_" + info.Variant.String()
}
for i, lib := range libs {
if lib == requested {
......@@ -86,3 +120,26 @@ 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"
}
}
......@@ -45,14 +45,7 @@ func TestUnicodeModelDir(t *testing.T) {
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)
t.Setenv("OLLAMA_MODELS", modelDir)
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
......
......@@ -11,25 +11,29 @@ import (
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/require"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/format"
)
func TestMultiModelConcurrency(t *testing.T) {
var (
req = [2]api.GenerateRequest{
{
Model: "orca-mini",
Prompt: "why is the ocean blue?",
Stream: &stream,
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,
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,
......@@ -37,43 +41,64 @@ func TestMultiModelConcurrency(t *testing.T) {
},
}
resp = [2][]string{
[]string{"sunlight"},
[]string{"england", "english", "massachusetts", "pilgrims"},
{"sunlight"},
{"england", "english", "massachusetts", "pilgrims", "british"},
}
)
var wg sync.WaitGroup
wg.Add(len(req))
ctx, cancel := context.WithTimeout(context.Background(), time.Second*120)
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()
GenerateTestHelper(ctx, t, req[i], resp[i])
DoGenerate(ctx, t, client, req[i], resp[i], 60*time.Second, 10*time.Second)
}(i)
}
wg.Wait()
}
func TestIntegrationConcurrentPredictOrcaMini(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 10*time.Minute) // GTX 750 2G card takes ~9 minutes
req, resp := GenerateRequests()
reqLimit := len(req)
iterLimit := 5
if s := os.Getenv("OLLAMA_MAX_VRAM"); s != "" {
maxVram, err := strconv.ParseUint(s, 10, 64)
require.NoError(t, err)
// Don't hammer on small VRAM cards...
if maxVram < 4*format.GibiByte {
reqLimit = min(reqLimit, 2)
iterLimit = 2
}
}
ctx, cancel := context.WithTimeout(context.Background(), 9*time.Minute)
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
req, resp := GenerateRequests()
// 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, 5*time.Second)
DoGenerate(ctx, t, client, req[0], resp[0], 60*time.Second, 10*time.Second)
var wg sync.WaitGroup
wg.Add(len(req))
for i := 0; i < len(req); i++ {
wg.Add(reqLimit)
for i := 0; i < reqLimit; i++ {
go func(i int) {
defer wg.Done()
for j := 0; j < 5; j++ {
for j := 0; j < iterLimit; j++ {
slog.Info("Starting", "req", i, "iter", j)
// On slower GPUs it can take a while to process the 4 concurrent requests
// 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], 90*time.Second, 5*time.Second)
DoGenerate(ctx, t, client, req[i], resp[i], 120*time.Second, 20*time.Second)
}
}(i)
}
......@@ -82,13 +107,16 @@ func TestIntegrationConcurrentPredictOrcaMini(t *testing.T) {
// 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 == "" {
s := os.Getenv("OLLAMA_MAX_VRAM") // TODO - discover actual VRAM
if s == "" {
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)
maxVram, err := strconv.ParseUint(s, 10, 64)
if err != nil {
t.Fatal(err)
}
type model struct {
name string
size uint64 // Approximate amount of VRAM they typically use when fully loaded in VRAM
......@@ -97,83 +125,82 @@ func TestMultiModelStress(t *testing.T) {
smallModels := []model{
{
name: "orca-mini",
size: 2992 * MB,
size: 2992 * format.MebiByte,
},
{
name: "phi",
size: 2616 * MB,
size: 2616 * format.MebiByte,
},
{
name: "gemma:2b",
size: 2364 * MB,
size: 2364 * format.MebiByte,
},
{
name: "stable-code:3b",
size: 2608 * MB,
size: 2608 * format.MebiByte,
},
{
name: "starcoder2:3b",
size: 2166 * MB,
size: 2166 * format.MebiByte,
},
}
mediumModels := []model{
{
name: "llama2",
size: 5118 * MB,
size: 5118 * format.MebiByte,
},
{
name: "mistral",
size: 4620 * MB,
size: 4620 * format.MebiByte,
},
{
name: "orca-mini:7b",
size: 5118 * MB,
size: 5118 * format.MebiByte,
},
{
name: "dolphin-mistral",
size: 4620 * MB,
size: 4620 * format.MebiByte,
},
{
name: "gemma:7b",
size: 5000 * MB,
size: 5000 * format.MebiByte,
},
{
name: "codellama:7b",
size: 5118 * format.MebiByte,
},
// 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,
// size: 7400 * format.MebiByte,
// },
// {
// name: "codellama:13b",
// size: 7400 * MB,
// size: 7400 * format.MebiByte,
// },
// {
// name: "orca-mini:13b",
// size: 7400 * MB,
// size: 7400 * format.MebiByte,
// },
// {
// name: "gemma:7b",
// size: 5000 * MB,
// size: 5000 * format.MebiByte,
// },
// {
// name: "starcoder2:15b",
// size: 9100 * MB,
// size: 9100 * format.MebiByte,
// },
// }
var chosenModels []model
switch {
case max < 10000*MB:
case maxVram < 10000*format.MebiByte:
slog.Info("selecting small models")
chosenModels = smallModels
// case max < 30000*MB:
// case maxVram < 30000*format.MebiByte:
default:
slog.Info("selecting medium models")
chosenModels = mediumModels
......@@ -202,15 +229,15 @@ func TestMultiModelStress(t *testing.T) {
}
var wg sync.WaitGroup
consumed := uint64(256 * MB) // Assume some baseline usage
consumed := uint64(256 * format.MebiByte) // 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)
if i > 1 && consumed > maxVram {
slog.Info("achieved target vram exhaustion", "count", i, "vram", format.HumanBytes2(maxVram), "models", format.HumanBytes2(consumed))
break
}
consumed += chosenModels[i].size
slog.Info("target vram", "count", i, "vramMB", max/1024/1024, "modelsMB", consumed/1024/1024)
slog.Info("target vram", "count", i, "vram", format.HumanBytes2(maxVram), "models", format.HumanBytes2(consumed))
wg.Add(1)
go func(i int) {
......@@ -221,5 +248,23 @@ func TestMultiModelStress(t *testing.T) {
}
}(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()
}
......@@ -11,7 +11,8 @@ import (
)
func TestContextExhaustion(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute) // TODO maybe shorter?
// Longer needed for small footprint GPUs
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
defer cancel()
// Set up the test data
req := api.GenerateRequest{
......@@ -24,5 +25,10 @@ func TestContextExhaustion(t *testing.T) {
"num_ctx": 128,
},
}
GenerateTestHelper(ctx, t, req, []string{"once", "upon", "lived"})
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
if err := PullIfMissing(ctx, client, req.Model); err != nil {
t.Fatalf("PullIfMissing failed: %v", err)
}
DoGenerate(ctx, t, client, req, []string{"once", "upon", "lived"}, 120*time.Second, 10*time.Second)
}
//go:build integration
package integration
import (
"context"
"math"
"testing"
"time"
"github.com/ollama/ollama/api"
)
func floatsEqual32(a, b float32) bool {
return math.Abs(float64(a-b)) <= 1e-4
}
func floatsEqual64(a, b float64) bool {
return math.Abs(a-b) <= 1e-4
}
func TestAllMiniLMEmbeddings(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
req := api.EmbeddingRequest{
Model: "all-minilm",
Prompt: "why is the sky blue?",
}
res, err := embeddingTestHelper(ctx, t, req)
if err != nil {
t.Fatalf("error: %v", err)
}
if len(res.Embedding) != 384 {
t.Fatalf("expected 384 floats, got %d", len(res.Embedding))
}
if !floatsEqual64(res.Embedding[0], 0.06642947345972061) {
t.Fatalf("expected 0.06642947345972061, got %.16f", res.Embedding[0])
}
}
func TestAllMiniLMEmbed(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
req := api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
}
res, err := embedTestHelper(ctx, t, req)
if err != nil {
t.Fatalf("error: %v", err)
}
if len(res.Embeddings) != 1 {
t.Fatalf("expected 1 embedding, got %d", len(res.Embeddings))
}
if len(res.Embeddings[0]) != 384 {
t.Fatalf("expected 384 floats, got %d", len(res.Embeddings[0]))
}
if !floatsEqual32(res.Embeddings[0][0], 0.010071031) {
t.Fatalf("expected 0.010071031, got %.8f", res.Embeddings[0][0])
}
if res.PromptEvalCount != 8 {
t.Fatalf("expected 8 prompt tokens, got %d", res.PromptEvalCount)
}
}
func TestAllMiniLMBatchEmbed(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
req := api.EmbedRequest{
Model: "all-minilm",
Input: []string{"why is the sky blue?", "why is the grass green?"},
}
res, err := embedTestHelper(ctx, t, req)
if err != nil {
t.Fatalf("error: %v", err)
}
if len(res.Embeddings) != 2 {
t.Fatalf("expected 2 embeddings, got %d", len(res.Embeddings))
}
if len(res.Embeddings[0]) != 384 {
t.Fatalf("expected 384 floats, got %d", len(res.Embeddings[0]))
}
if !floatsEqual32(res.Embeddings[0][0], 0.010071031) || !floatsEqual32(res.Embeddings[1][0], -0.009802706) {
t.Fatalf("expected 0.010071031 and -0.009802706, got %.8f and %.8f", res.Embeddings[0][0], res.Embeddings[1][0])
}
if res.PromptEvalCount != 16 {
t.Fatalf("expected 16 prompt tokens, got %d", res.PromptEvalCount)
}
}
func TestAllMiniLMEmbedTruncate(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
truncTrue, truncFalse := true, false
type testReq struct {
Name string
Request api.EmbedRequest
}
reqs := []testReq{
{
Name: "Target Truncation",
Request: api.EmbedRequest{
Model: "all-minilm",
Input: "why",
},
},
{
Name: "Default Truncate",
Request: api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
Options: map[string]any{"num_ctx": 1},
},
},
{
Name: "Explicit Truncate",
Request: api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
Truncate: &truncTrue,
Options: map[string]any{"num_ctx": 1},
},
},
}
res := make(map[string]*api.EmbedResponse)
for _, req := range reqs {
response, err := embedTestHelper(ctx, t, req.Request)
if err != nil {
t.Fatalf("error: %v", err)
}
res[req.Name] = response
}
if res["Target Truncation"].Embeddings[0][0] != res["Default Truncate"].Embeddings[0][0] {
t.Fatal("expected default request to truncate correctly")
}
if res["Default Truncate"].Embeddings[0][0] != res["Explicit Truncate"].Embeddings[0][0] {
t.Fatal("expected default request and truncate true request to be the same")
}
// check that truncate set to false returns an error if context length is exceeded
_, err := embedTestHelper(ctx, t, api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
Truncate: &truncFalse,
Options: map[string]any{"num_ctx": 1},
})
if err == nil {
t.Fatal("expected error, got nil")
}
}
func embeddingTestHelper(ctx context.Context, t *testing.T, req api.EmbeddingRequest) (*api.EmbeddingResponse, error) {
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
if err := PullIfMissing(ctx, client, req.Model); err != nil {
t.Fatalf("failed to pull model %s: %v", req.Model, err)
}
response, err := client.Embeddings(ctx, &req)
if err != nil {
return nil, err
}
return response, nil
}
func embedTestHelper(ctx context.Context, t *testing.T, req api.EmbedRequest) (*api.EmbedResponse, error) {
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
if err := PullIfMissing(ctx, client, req.Model); err != nil {
t.Fatalf("failed to pull model %s: %v", req.Model, err)
}
response, err := client.Embed(ctx, &req)
if err != nil {
return nil, err
}
return response, nil
}
......@@ -32,7 +32,11 @@ func TestIntegrationMultimodal(t *testing.T) {
resp := "the ollam"
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Minute)
defer cancel()
GenerateTestHelper(ctx, t, req, []string{resp})
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)
}
const imageEncoding = `iVBORw0KGgoAAAANSUhEUgAAANIAAAB4CAYAAACHHqzKAAAAAXNSR0IArs4c6QAAAIRlWElmTU0AKgAAAAgABQESAAMAAAABAAEAAAEaAAUAAAABAAAASgEb
......
......@@ -35,8 +35,8 @@ var (
},
}
resp = [2][]string{
[]string{"sunlight"},
[]string{"england", "english", "massachusetts", "pilgrims"},
{"sunlight"},
{"england", "english", "massachusetts", "pilgrims"},
}
)
......
......@@ -5,7 +5,6 @@ package integration
import (
"context"
"errors"
"fmt"
"log/slog"
"os"
"strconv"
......@@ -14,8 +13,10 @@ import (
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/require"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/envconfig"
)
func TestMaxQueue(t *testing.T) {
......@@ -27,13 +28,10 @@ func TestMaxQueue(t *testing.T) {
// 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)
if maxQueue := envconfig.MaxQueue(); maxQueue != 0 {
threadCount = int(maxQueue)
} else {
os.Setenv("OLLAMA_MAX_QUEUE", fmt.Sprintf("%d", threadCount))
t.Setenv("OLLAMA_MAX_QUEUE", strconv.Itoa(threadCount))
}
req := api.GenerateRequest{
......
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