mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-13 14:29:52 +00:00
Merge branch 'ggerganov:master' into k-shift2
This commit is contained in:
commit
5144fd90bf
@ -11,6 +11,8 @@
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extern "C" {
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#endif
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#define GGML_KOMPUTE_MAX_DEVICES 16
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struct ggml_vk_device {
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int index;
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int type; // same as VkPhysicalDeviceType
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@ -41,6 +43,8 @@ GGML_API bool ggml_backend_is_kompute(ggml_backend_t backend);
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GGML_API ggml_backend_buffer_type_t ggml_backend_kompute_buffer_type(int device);
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GGML_API ggml_backend_reg_t ggml_backend_kompute_reg(void);
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#ifdef __cplusplus
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}
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#endif
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@ -562,6 +562,10 @@ void * ggml_backend_reg_get_proc_address(ggml_backend_reg_t reg, const char * na
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#include "ggml-cann.h"
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#endif
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#ifdef GGML_USE_KOMPUTE
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#include "ggml-kompute.h"
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#endif
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struct ggml_backend_registry {
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std::vector<ggml_backend_reg_t> backends;
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std::vector<ggml_backend_dev_t> devices;
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@ -591,8 +595,9 @@ struct ggml_backend_registry {
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#ifdef GGML_USE_AMX
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register_backend(ggml_backend_amx_reg());
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#endif
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// TODO: kompute
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#ifdef GGML_USE_KOMPUTE
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register_backend(ggml_backend_kompute_reg());
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#endif
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register_backend(ggml_backend_cpu_reg());
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}
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@ -42,6 +42,7 @@
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#include <cstring>
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#include <iostream>
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#include <memory>
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#include <mutex>
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#include <stdexcept>
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#include <string>
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#include <unordered_map>
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@ -273,18 +274,9 @@ static std::vector<ggml_vk_device> ggml_vk_available_devices_internal(size_t mem
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return results;
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}
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// public API returns a C-style array
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ggml_vk_device * ggml_vk_available_devices(size_t memoryRequired, size_t * count) {
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auto devices = ggml_vk_available_devices_internal(memoryRequired);
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*count = devices.size();
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if (devices.empty()) {
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return nullptr;
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}
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size_t nbytes = sizeof (ggml_vk_device) * (devices.size());
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auto * arr = static_cast<ggml_vk_device *>(malloc(nbytes));
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memcpy(arr, devices.data(), nbytes);
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return arr;
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static std::vector<ggml_vk_device>& ggml_vk_available_devices() {
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static std::vector<ggml_vk_device> devices = ggml_vk_available_devices_internal(0);
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return devices;
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}
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static void ggml_vk_filterByVendor(std::vector<ggml_vk_device>& devices, const std::string& targetVendor) {
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@ -341,7 +333,7 @@ ggml_vk_device ggml_vk_current_device() {
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if (!komputeManager()->hasDevice())
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return ggml_vk_device();
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auto devices = ggml_vk_available_devices_internal(0);
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auto devices = ggml_vk_available_devices();
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ggml_vk_filterByName(devices, komputeManager()->physicalDevice()->getProperties().deviceName.data());
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GGML_ASSERT(!devices.empty());
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return devices.front();
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@ -1323,17 +1315,7 @@ static void ggml_vk_cpy_f16_f32(Args&&... args) {
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ggml_vk_cpy(spirv, 2, 4, std::forward<Args>(args)...);
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}
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static bool ggml_vk_supports_op(const struct ggml_tensor * op) {
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switch (op->type) {
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case GGML_TYPE_F16:
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case GGML_TYPE_F32:
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case GGML_TYPE_Q4_0:
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case GGML_TYPE_Q4_1:
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break;
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default:
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return false;
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}
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static bool ggml_backend_kompute_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) {
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switch (op->op) {
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case GGML_OP_UNARY:
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switch (ggml_get_unary_op(op)) {
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@ -1410,6 +1392,8 @@ static bool ggml_vk_supports_op(const struct ggml_tensor * op) {
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;
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}
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return false;
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GGML_UNUSED(dev);
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}
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static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml_cgraph * gf) {
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@ -1458,11 +1442,6 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
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any_commands_recorded = true;
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if (!ggml_vk_supports_op(dst)) {
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fprintf(stderr, "%s: error: unsupported op '%s'\n", __func__, ggml_op_desc(dst));
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GGML_ABORT("unsupported op");
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}
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const int32_t ne00 = src0 ? src0->ne[0] : 0;
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const int32_t ne01 = src0 ? src0->ne[1] : 0;
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const int32_t ne02 = src0 ? src0->ne[2] : 0;
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@ -1907,25 +1886,31 @@ static ggml_backend_buffer_type_i ggml_backend_kompute_buffer_type_interface = {
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};
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ggml_backend_buffer_type_t ggml_backend_kompute_buffer_type(int device) {
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static std::vector<ggml_backend_buffer_type> bufts = []() {
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std::vector<ggml_backend_buffer_type> vec;
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auto devices = ggml_vk_available_devices_internal(0);
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vec.reserve(devices.size());
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static std::mutex mutex;
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std::lock_guard<std::mutex> lock(mutex);
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for (const auto & dev : devices) {
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vec.push_back({
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/* .iface = */ ggml_backend_kompute_buffer_type_interface,
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/* .device = */ nullptr,
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/* .context = */ new ggml_backend_kompute_buffer_type_context(dev.index, dev.bufferAlignment, dev.maxAlloc)
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});
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auto devices = ggml_vk_available_devices();
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int32_t device_count = (int32_t) devices.size();
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GGML_ASSERT(device < device_count);
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GGML_ASSERT(devices.size() <= GGML_KOMPUTE_MAX_DEVICES);
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static ggml_backend_buffer_type
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ggml_backend_kompute_buffer_types[GGML_KOMPUTE_MAX_DEVICES];
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static bool ggml_backend_kompute_buffer_type_initialized = false;
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if (!ggml_backend_kompute_buffer_type_initialized) {
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for (int32_t i = 0; i < device_count; i++) {
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ggml_backend_kompute_buffer_types[i] = {
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/* .iface = */ ggml_backend_kompute_buffer_type_interface,
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/* .device = */ ggml_backend_reg_dev_get(ggml_backend_kompute_reg(), i),
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/* .context = */ new ggml_backend_kompute_buffer_type_context{ i, devices[i].bufferAlignment, devices[i].maxAlloc },
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};
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}
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return vec;
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}();
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ggml_backend_kompute_buffer_type_initialized = true;
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}
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auto it = std::find_if(bufts.begin(), bufts.end(), [device](const ggml_backend_buffer_type & t) {
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return device == static_cast<ggml_backend_kompute_buffer_type_context *>(t.context)->device;
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});
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return it < bufts.end() ? &*it : nullptr;
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return &ggml_backend_kompute_buffer_types[device];
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}
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// backend
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@ -1953,16 +1938,6 @@ static ggml_status ggml_backend_kompute_graph_compute(ggml_backend_t backend, st
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return GGML_STATUS_SUCCESS;
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}
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static bool ggml_backend_kompute_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
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GGML_UNUSED(backend);
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return ggml_vk_supports_op(op);
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}
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static bool ggml_backend_kompute_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
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GGML_UNUSED(backend);
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return buft->iface.get_name == ggml_backend_kompute_buffer_type_get_name;
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}
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static struct ggml_backend_i kompute_backend_i = {
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/* .get_name = */ ggml_backend_kompute_name,
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/* .free = */ ggml_backend_kompute_free,
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@ -1991,7 +1966,7 @@ ggml_backend_t ggml_backend_kompute_init(int device) {
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ggml_backend_t kompute_backend = new ggml_backend {
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/* .guid = */ ggml_backend_kompute_guid(),
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/* .interface = */ kompute_backend_i,
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/* .device = */ nullptr,
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/* .device = */ ggml_backend_reg_dev_get(ggml_backend_kompute_reg(), device),
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/* .context = */ s_kompute_context,
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};
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@ -2001,3 +1976,167 @@ ggml_backend_t ggml_backend_kompute_init(int device) {
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bool ggml_backend_is_kompute(ggml_backend_t backend) {
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return backend != NULL && ggml_guid_matches(backend->guid, ggml_backend_kompute_guid());
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}
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static size_t ggml_backend_kompute_get_device_count() {
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auto devices = ggml_vk_available_devices();
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return devices.size();
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}
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static void ggml_backend_kompute_get_device_description(int device, char * description, size_t description_size) {
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auto devices = ggml_vk_available_devices();
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GGML_ASSERT((size_t) device < devices.size());
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snprintf(description, description_size, "%s", devices[device].name);
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}
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static void ggml_backend_kompute_get_device_memory(int device, size_t * free, size_t * total) {
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auto devices = ggml_vk_available_devices();
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GGML_ASSERT((size_t) device < devices.size());
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*total = devices[device].heapSize;
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*free = devices[device].heapSize;
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}
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//////////////////////////
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struct ggml_backend_kompute_device_context {
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int device;
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std::string name;
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std::string description;
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};
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static const char * ggml_backend_kompute_device_get_name(ggml_backend_dev_t dev) {
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ggml_backend_kompute_device_context * ctx = (ggml_backend_kompute_device_context *)dev->context;
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return ctx->name.c_str();
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}
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static const char * ggml_backend_kompute_device_get_description(ggml_backend_dev_t dev) {
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ggml_backend_kompute_device_context * ctx = (ggml_backend_kompute_device_context *)dev->context;
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return ctx->description.c_str();
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}
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static void ggml_backend_kompute_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
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ggml_backend_kompute_device_context * ctx = (ggml_backend_kompute_device_context *)dev->context;
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ggml_backend_kompute_get_device_memory(ctx->device, free, total);
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}
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static ggml_backend_buffer_type_t ggml_backend_kompute_device_get_buffer_type(ggml_backend_dev_t dev) {
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ggml_backend_kompute_device_context * ctx = (ggml_backend_kompute_device_context *)dev->context;
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return ggml_backend_kompute_buffer_type(ctx->device);
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}
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static bool ggml_backend_kompute_device_supports_buft(ggml_backend_dev_t dev, ggml_backend_buffer_type_t buft) {
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if (buft->iface.get_name != ggml_backend_kompute_buffer_type_get_name) {
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return false;
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}
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ggml_backend_kompute_device_context * ctx = (ggml_backend_kompute_device_context *)dev->context;
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ggml_backend_kompute_buffer_type_context * buft_ctx = (ggml_backend_kompute_buffer_type_context *)buft->context;
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return buft_ctx->device == ctx->device;
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}
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static enum ggml_backend_dev_type ggml_backend_kompute_device_get_type(ggml_backend_dev_t dev) {
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GGML_UNUSED(dev);
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return GGML_BACKEND_DEVICE_TYPE_GPU;
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}
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static void ggml_backend_kompute_device_get_props(ggml_backend_dev_t dev, struct ggml_backend_dev_props * props) {
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props->name = ggml_backend_kompute_device_get_name(dev);
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props->description = ggml_backend_kompute_device_get_description(dev);
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props->type = ggml_backend_kompute_device_get_type(dev);
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ggml_backend_kompute_device_get_memory(dev, &props->memory_free, &props->memory_total);
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props->caps = {
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/* async = */ false,
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/* host_buffer = */ false,
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/* .buffer_from_host_ptr = */ false,
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/* events = */ false,
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};
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}
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static ggml_backend_t ggml_backend_kompute_device_init(ggml_backend_dev_t dev, const char * params) {
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GGML_UNUSED(params);
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ggml_backend_kompute_device_context * ctx = (ggml_backend_kompute_device_context *)dev->context;
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return ggml_backend_kompute_init(ctx->device);
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}
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static bool ggml_backend_kompute_device_offload_op(ggml_backend_dev_t dev, const ggml_tensor * op) {
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const int min_batch_size = 32;
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return (op->ne[1] >= min_batch_size && op->op != GGML_OP_GET_ROWS) ||
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(op->ne[2] >= min_batch_size && op->op == GGML_OP_MUL_MAT_ID);
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GGML_UNUSED(dev);
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}
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static const struct ggml_backend_device_i ggml_backend_kompute_device_i = {
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/* .get_name = */ ggml_backend_kompute_device_get_name,
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/* .get_description = */ ggml_backend_kompute_device_get_description,
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/* .get_memory = */ ggml_backend_kompute_device_get_memory,
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/* .get_type = */ ggml_backend_kompute_device_get_type,
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/* .get_props = */ ggml_backend_kompute_device_get_props,
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/* .init_backend = */ ggml_backend_kompute_device_init,
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/* .get_buffer_type = */ ggml_backend_kompute_device_get_buffer_type,
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/* .get_host_buffer_type = */ NULL,
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/* .buffer_from_host_ptr = */ NULL,
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/* .supports_op = */ ggml_backend_kompute_device_supports_op,
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/* .supports_buft = */ ggml_backend_kompute_device_supports_buft,
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/* .offload_op = */ ggml_backend_kompute_device_offload_op,
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/* .event_new = */ NULL,
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/* .event_free = */ NULL,
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/* .event_synchronize = */ NULL,
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};
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static const char * ggml_backend_kompute_reg_get_name(ggml_backend_reg_t reg) {
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GGML_UNUSED(reg);
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return "Kompute";
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}
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static size_t ggml_backend_kompute_reg_get_device_count(ggml_backend_reg_t reg) {
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GGML_UNUSED(reg);
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return ggml_backend_kompute_get_device_count();
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}
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static ggml_backend_dev_t ggml_backend_kompute_reg_get_device(ggml_backend_reg_t reg, size_t device) {
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static std::vector<ggml_backend_dev_t> devices;
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static bool initialized = false;
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{
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static std::mutex mutex;
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std::lock_guard<std::mutex> lock(mutex);
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if (!initialized) {
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for (size_t i = 0; i < ggml_backend_kompute_get_device_count(); i++) {
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ggml_backend_kompute_device_context * ctx = new ggml_backend_kompute_device_context;
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char desc[256];
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ggml_backend_kompute_get_device_description(i, desc, sizeof(desc));
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ctx->device = i;
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ctx->name = "Kompute" + std::to_string(i);
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ctx->description = desc;
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devices.push_back(new ggml_backend_device {
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/* .iface = */ ggml_backend_kompute_device_i,
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/* .reg = */ reg,
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/* .context = */ ctx,
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});
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}
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initialized = true;
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}
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}
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GGML_ASSERT(device < devices.size());
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return devices[device];
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}
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static const struct ggml_backend_reg_i ggml_backend_kompute_reg_i = {
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/* .get_name = */ ggml_backend_kompute_reg_get_name,
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/* .get_device_count = */ ggml_backend_kompute_reg_get_device_count,
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/* .get_device = */ ggml_backend_kompute_reg_get_device,
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/* .get_proc_address = */ NULL,
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};
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ggml_backend_reg_t ggml_backend_kompute_reg() {
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static ggml_backend_reg reg = {
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/* .iface = */ ggml_backend_kompute_reg_i,
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/* .context = */ nullptr,
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};
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return ®
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}
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