mindmap-studio / backend /llama.cpp /ggml /src /ggml-et /ggml-et-kernels.cpp
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#include "ggml-et-kernels.h"
#include "ggml-et-kernels-embed.hpp"
#include "ggml-et-uberkernel-kernel-map.h"
#include "ggml-impl.h"
#include <cstdlib>
#include <cstring>
#include <fstream>
#define ET_TRACE_DECODER_IMPL
#include <et-trace/decoder.h>
#include <et-trace/layout.h>
static constexpr size_t GGML_ET_UBERKERNEL_PARAM_ALIGN = 64;
static size_t ggml_et_align_up(size_t value, size_t alignment) {
return (value + alignment - 1) & ~(alignment - 1);
}
static size_t ggml_et_next_capacity(size_t current_capacity, size_t required_capacity) {
if (current_capacity == 0) {
return required_capacity;
}
size_t next_capacity = current_capacity;
while (next_capacity < required_capacity) {
next_capacity *= 2;
}
return next_capacity;
}
static ggml_backend_et_uberkernel_slot & ggml_et_uberkernel_current_slot(ggml_backend_et_uberkernel_context * uk_ctx) {
return uk_ctx->slots[uk_ctx->current_slot];
}
// Wait for any in-flight launch that previously used this slot to finish,
// so the host vectors and device buffers are safe to mutate / free.
static void ggml_et_uberkernel_slot_wait(ggml_backend_et_uberkernel_slot & slot,
const std::shared_ptr<rt::IRuntime> & runtime) {
if (!slot.has_pending || !runtime) {
return;
}
runtime->waitForEvent(slot.pending_event);
slot.has_pending = false;
}
static void ggml_et_uberkernel_reset_segment(ggml_backend_et_uberkernel_context * uk_ctx) {
if (!uk_ctx) {
return;
}
uk_ctx->shire_mask = 0;
auto & slot = ggml_et_uberkernel_current_slot(uk_ctx);
// Drain any prior launch on this slot before clearing its host buffers.
// begin_graph and abort_graph both come through here; in either case we
// must not yank the source memory out from under an in-flight DMA.
ggml_et_uberkernel_slot_wait(slot, ggml_et_runtime());
slot.insts.clear();
slot.params_blob.clear();
}
static bool ggml_et_uberkernel_ensure_slot_capacity(ggml_backend_et_uberkernel_slot & slot,
ggml_backend_et_device_context * dev_ctx,
size_t insts_size,
size_t params_size) {
std::shared_ptr<rt::IRuntime> runtime = ggml_et_runtime();
if (!dev_ctx || !runtime) {
return false;
}
try {
if (slot.device_insts == nullptr || insts_size > slot.device_insts_capacity) {
const size_t new_capacity = ggml_et_next_capacity(slot.device_insts_capacity, insts_size);
if (slot.device_insts) {
runtime->freeDevice(dev_ctx->rtid, slot.device_insts);
}
slot.device_insts = runtime->mallocDevice(dev_ctx->rtid, new_capacity);
slot.device_insts_capacity = slot.device_insts ? new_capacity : 0;
}
if (slot.device_params == nullptr || params_size > slot.device_params_capacity) {
const size_t new_capacity = ggml_et_next_capacity(slot.device_params_capacity, params_size);
if (slot.device_params) {
runtime->freeDevice(dev_ctx->rtid, slot.device_params);
}
slot.device_params = runtime->mallocDevice(dev_ctx->rtid, new_capacity);
slot.device_params_capacity = slot.device_params ? new_capacity : 0;
}
} catch (const std::exception & e) {
GGML_LOG_ERROR("ET: Failed to resize uberkernel buffers: %s\n", e.what());
return false;
}
return slot.device_insts != nullptr && slot.device_params != nullptr;
}
// Get embedded kernel data by name
static std::vector<std::byte> ggml_et_get_embedded_kernel(const std::string & kernel_name) {
auto it = ggml_et_embedded_kernels.find(kernel_name);
if (it == ggml_et_embedded_kernels.end()) {
GGML_LOG_ERROR("ET: Unknown embedded kernel: %s\n", kernel_name.c_str());
return {};
}
const unsigned char * data = it->second.first;
uint64_t size = it->second.second;
std::vector<std::byte> buffer(size);
std::memcpy(buffer.data(), data, size);
return buffer;
}
// Read kernel from file (for development/override)
static std::vector<std::byte> ggml_et_read_kernel_file(const std::string & kernel_path) {
std::ifstream file(kernel_path, std::ios::binary | std::ios::ate);
if (!file) {
return {};
}
auto size = file.tellg();
file.seekg(0, std::ios::beg);
std::vector<std::byte> buffer(size);
file.read(reinterpret_cast<char *>(buffer.data()), size);
return buffer;
}
// Load kernel from file or embedded data
bool ggml_et_load_kernel(ggml_backend_et_device_context * dev_ctx, const std::string & kernel_name) {
std::shared_ptr<rt::IRuntime> runtime = ggml_et_runtime();
if (!runtime) {
GGML_LOG_ERROR("ET: Runtime not available for kernel loading\n");
return false;
}
// Check if kernel already loaded
if (dev_ctx->loaded_kernels.find(kernel_name) != dev_ctx->loaded_kernels.end()) {
GGML_LOG_DEBUG("ET: Kernel %s already loaded on device %d\n", kernel_name.c_str(), dev_ctx->devidx);
return true;
}
std::vector<std::byte> kernel_data;
const char * kernels_path = getenv("GGML_ET_KERNELS_PATH");
// If GGML_ET_KERNELS_PATH is set, try to load from file first
if (kernels_path) {
std::string kernel_file = std::string(kernels_path) + "/" + kernel_name + ".elf";
kernel_data = ggml_et_read_kernel_file(kernel_file);
if (!kernel_data.empty()) {
GGML_LOG_INFO("ET: Loading kernel %s from file: %s\n", kernel_name.c_str(), kernel_file.c_str());
} else {
GGML_LOG_INFO("ET: Kernel file not found: %s, falling back to embedded\n", kernel_file.c_str());
}
}
// If no file data, use embedded kernel
if (kernel_data.empty()) {
kernel_data = ggml_et_get_embedded_kernel(kernel_name);
if (kernel_data.empty()) {
GGML_LOG_ERROR("ET: Failed to get kernel data for %s\n", kernel_name.c_str());
return false;
}
}
try {
// Load kernel code using device's default stream
auto load_result = runtime->loadCode(dev_ctx->default_stream, kernel_data.data(), kernel_data.size());
runtime->waitForEvent(load_result.event_);
// Store kernel handle
dev_ctx->loaded_kernels[kernel_name] = load_result.kernel_;
return true;
} catch (const std::exception & e) {
GGML_LOG_ERROR("ET: Failed to load kernel %s: %s\n", kernel_name.c_str(), e.what());
return false;
}
}
static bool ggml_et_launch_kernel_internal(ggml_backend_et_device_context * dev_ctx,
const std::string & kernel_name,
void * params,
size_t params_size,
uint64_t shire_mask,
bool enable_print,
bool sync_error_check,
rt::EventId * out_event = nullptr) {
std::shared_ptr<rt::IRuntime> runtime = ggml_et_runtime();
if (!runtime) {
GGML_LOG_ERROR("ET: Runtime not available for kernel launch\n");
return false;
}
// Lazy loading: check if kernel is loaded, load if needed
auto kernel_it = dev_ctx->loaded_kernels.find(kernel_name);
if (kernel_it == dev_ctx->loaded_kernels.end()) {
// Kernel not loaded - load it
if (!ggml_et_load_kernel(dev_ctx, kernel_name)) {
GGML_LOG_ERROR("ET: Failed to lazy-load kernel %s\n", kernel_name.c_str());
return false;
}
// Update iterator after successful load
kernel_it = dev_ctx->loaded_kernels.find(kernel_name);
if (kernel_it == dev_ctx->loaded_kernels.end()) {
GGML_LOG_ERROR("ET: Kernel %s not found after loading\n", kernel_name.c_str());
return false;
}
}
rt::KernelId kernel_id = kernel_it->second;
try {
// Setup kernel launch options
rt::KernelLaunchOptions k_opts;
k_opts.setShireMask(shire_mask); // Default: all shires (0xFFFFFFFF)
k_opts.setBarrier(true); // Wait for completion
k_opts.setFlushL3(false); // No L3 flush needed
if (enable_print) {
k_opts.setUserTracing(reinterpret_cast<uint64_t>(dev_ctx->trace_buffer),
static_cast<uint32_t>(ET_TRACE_BUFFER_SIZE),
0, // threshold
shire_mask, // shire mask
0xFFFFFFFFFFFFFFFFULL, // threadMask - all threads
0xFFFFFFFFU, // eventMask - all events
0xFFFFFFFFU // filterMask - all levels
);
}
if (sync_error_check) {
runtime->waitForStream(dev_ctx->default_stream);
auto errors = runtime->retrieveStreamErrors(dev_ctx->default_stream);
if (!errors.empty()) {
GGML_LOG_ERROR("ET: Errors detected before kernel \"%s\" launch\n", kernel_name.c_str());
for (const auto & error : errors) {
GGML_LOG_ERROR("ET: Error code: %d\n", (int) error.errorCode_);
}
abort();
}
}
rt::EventId launch_event = runtime->kernelLaunch(dev_ctx->default_stream, kernel_id,
reinterpret_cast<std::byte *>(params), params_size, k_opts);
if (out_event) {
*out_event = launch_event;
}
if (enable_print) {
std::vector<std::byte> host_trace_buf(ET_TRACE_BUFFER_SIZE);
runtime->memcpyDeviceToHost(dev_ctx->default_stream, dev_ctx->trace_buffer, host_trace_buf.data(),
ET_TRACE_BUFFER_SIZE);
runtime->waitForStream(dev_ctx->default_stream);
const auto * trace_header = reinterpret_cast<const trace_buffer_std_header_t *>(host_trace_buf.data());
const trace_entry_header_t * entry = nullptr;
while ((entry = Trace_Decode(trace_header, entry))) {
if (entry->type != TRACE_TYPE_STRING) {
continue;
}
const auto * str_entry = reinterpret_cast<const trace_string_t *>(entry);
printf("[hart %d] %s", entry->hart_id, str_entry->string);
}
}
if (sync_error_check) {
// Already triggered. No need to retrigger
if (!enable_print) {
runtime->waitForStream(dev_ctx->default_stream);
}
auto errors = runtime->retrieveStreamErrors(dev_ctx->default_stream);
if (!errors.empty()) {
GGML_LOG_ERROR("ET: Errors detected during kernel \"%s\" execution\n", kernel_name.c_str());
for (const auto & error : errors) {
GGML_LOG_ERROR("ET: Error code: %d\n", (int) error.errorCode_);
}
abort();
}
}
return true;
} catch (const std::exception & e) {
GGML_LOG_ERROR("ET: Failed to launch kernel %s: %s\n", kernel_name.c_str(), e.what());
return false;
}
}
void ggml_et_uberkernel_begin_graph(ggml_backend_et_uberkernel_context * uk_ctx) {
if (!uk_ctx) {
return;
}
uk_ctx->failed = false;
ggml_et_uberkernel_reset_segment(uk_ctx);
}
static bool ggml_et_launch_uberkernel_segment(ggml_backend_et_device_context * dev_ctx,
ggml_backend_et_uberkernel_context * uk_ctx) {
if (!uk_ctx || !dev_ctx) {
return false;
}
auto & slot = ggml_et_uberkernel_current_slot(uk_ctx);
if (slot.insts.empty()) {
return true;
}
std::shared_ptr<rt::IRuntime> runtime = ggml_et_runtime();
if (!runtime) {
GGML_LOG_ERROR("ET: Runtime not available for uberkernel commit\n");
uk_ctx->failed = true;
return false;
}
const size_t insts_size = slot.insts.size() * sizeof(ggml_et_uberkernel_inst);
const size_t params_size = slot.params_blob.size();
const uint64_t shire_mask = uk_ctx->shire_mask;
bool ok = false;
try {
if (!ggml_et_uberkernel_ensure_slot_capacity(slot, dev_ctx, insts_size, params_size)) {
GGML_LOG_ERROR("ET: Failed to allocate uberkernel device buffers\n");
uk_ctx->failed = true;
// Drop this segment but keep the slot drained so we don't leak
// host vectors into the next graph.
slot.insts.clear();
slot.params_blob.clear();
uk_ctx->shire_mask = 0;
return false;
}
// Fire-and-forget H2D + launch on default_stream. In-stream FIFO
// ordering guarantees the kernel sees fully-uploaded buffers; the
// host source bytes (slot.insts / slot.params_blob) stay alive
// because we won't touch this slot again until pending_event fires.
runtime->memcpyHostToDevice(dev_ctx->default_stream, reinterpret_cast<const std::byte *>(slot.insts.data()),
slot.device_insts, insts_size, true);
runtime->memcpyHostToDevice(dev_ctx->default_stream, slot.params_blob.data(), slot.device_params, params_size,
true);
ggml_et_uberkernel_params params = {
static_cast<uint32_t>(slot.insts.size()),
static_cast<uint32_t>(sizeof(ggml_et_uberkernel_inst)),
reinterpret_cast<uint64_t>(slot.device_insts),
reinterpret_cast<uint64_t>(slot.device_params),
};
rt::EventId launch_event{};
ok = ggml_et_launch_kernel_internal(dev_ctx, "uberkernel", &params, sizeof(params), shire_mask, false, false,
&launch_event);
if (ok) {
// The kernelLaunch above is the last thing on default_stream
// that touches this slot's device buffers. Recording its event
// lets the next reuse of this slot wait on that one event
// instead of the whole stream.
slot.pending_event = launch_event;
slot.has_pending = true;
}
} catch (const std::exception & e) {
GGML_LOG_ERROR("ET: Failed to commit uberkernel segment: %s\n", e.what());
}
uk_ctx->failed = !ok;
if (ok) {
uk_ctx->current_slot = (uk_ctx->current_slot + 1) % ggml_backend_et_uberkernel_context::SLOT_COUNT;
auto & next = ggml_et_uberkernel_current_slot(uk_ctx);
ggml_et_uberkernel_slot_wait(next, runtime);
next.insts.clear();
next.params_blob.clear();
} else {
slot.insts.clear();
slot.params_blob.clear();
}
uk_ctx->shire_mask = 0;
return ok;
}
void ggml_et_uberkernel_abort_graph(ggml_backend_et_uberkernel_context * uk_ctx) {
if (!uk_ctx) {
return;
}
uk_ctx->failed = false;
ggml_et_uberkernel_reset_segment(uk_ctx);
}
bool ggml_et_uberkernel_failed(const ggml_backend_et_uberkernel_context * uk_ctx) {
return uk_ctx && uk_ctx->failed;
}
static bool ggml_et_launch_uberkernel(ggml_backend_et_device_context * dev_ctx,
const std::string & kernel_name,
void * params,
size_t params_size,
uint64_t shire_mask,
bool enable_print,
bool sync_error_check) {
if (!dev_ctx) {
return false;
}
ggml_backend_et_uberkernel_context * uk_ctx = &dev_ctx->uberkernel;
const uint16_t uberkernel_id = ggml_et_uberkernel_kernel_id_from_name(kernel_name.c_str());
if (uberkernel_id == GGML_ET_UBERKERNEL_KERNEL_INVALID) {
if (!ggml_et_launch_uberkernel_segment(dev_ctx, uk_ctx)) {
return false;
}
return ggml_et_launch_kernel_internal(dev_ctx, kernel_name, params, params_size, shire_mask, enable_print,
sync_error_check);
}
auto & slot = ggml_et_uberkernel_current_slot(uk_ctx);
const size_t params_offset = ggml_et_align_up(slot.params_blob.size(), GGML_ET_UBERKERNEL_PARAM_ALIGN);
if (params_offset > slot.params_blob.size()) {
slot.params_blob.resize(params_offset);
}
const std::byte * params_bytes = reinterpret_cast<const std::byte *>(params);
slot.params_blob.insert(slot.params_blob.end(), params_bytes, params_bytes + params_size);
ggml_et_uberkernel_inst inst = {
uberkernel_id,
0,
static_cast<uint32_t>(params_offset),
static_cast<uint32_t>(params_size),
};
slot.insts.push_back(inst);
if (slot.insts.size() == 1) {
uk_ctx->shire_mask = shire_mask;
}
return true;
}
bool ggml_et_uberkernel_end_graph(ggml_backend_et_device_context * dev_ctx) {
if (!dev_ctx || !dev_ctx->uberkernel_enabled) {
return true;
}
return ggml_et_launch_uberkernel_segment(dev_ctx, &dev_ctx->uberkernel);
}
bool ggml_et_launch_kernel(ggml_backend_et_device_context * dev_ctx,
const std::string & kernel_name,
void * params,
size_t params_size,
uint64_t shire_mask,
bool enable_print,
bool sync_error_check) {
if (!dev_ctx) {
return false;
}
if (!dev_ctx->uberkernel_enabled) {
return ggml_et_launch_kernel_internal(dev_ctx, kernel_name, params, params_size, shire_mask, enable_print,
sync_error_check);
}
return ggml_et_launch_uberkernel(dev_ctx, kernel_name, params, params_size, shire_mask, enable_print,
sync_error_check);
}
void ggml_et_unload_kernel(ggml_backend_et_device_context * dev_ctx, const std::string & kernel_name) {
std::shared_ptr<rt::IRuntime> runtime = ggml_et_runtime();
if (!runtime) {
return;
}
auto kernel_it = dev_ctx->loaded_kernels.find(kernel_name);
if (kernel_it != dev_ctx->loaded_kernels.end()) {
try {
runtime->unloadCode(kernel_it->second);
dev_ctx->loaded_kernels.erase(kernel_it);
} catch (const std::exception & e) {
GGML_LOG_ERROR("ET: Failed to unload kernel %s: %s\n", kernel_name.c_str(), e.what());
}
}
}
void ggml_et_unload_all_kernels(ggml_backend_et_device_context * dev_ctx) {
if (!dev_ctx) {
return;
}
// Make a copy of kernel names since ggml_et_unload_kernel modifies the map
std::vector<std::string> kernel_names;
kernel_names.reserve(dev_ctx->loaded_kernels.size());
for (const auto & kernel_pair : dev_ctx->loaded_kernels) {
kernel_names.push_back(kernel_pair.first);
}
for (const auto & kernel_name : kernel_names) {
ggml_et_unload_kernel(dev_ctx, kernel_name);
}
}
std::vector<std::pair<std::string, rt::KernelId>> ggml_et_get_loaded_kernels(ggml_backend_et_device_context * dev_ctx) {
std::vector<std::pair<std::string, rt::KernelId>> loaded_kernels;
loaded_kernels.reserve(dev_ctx->loaded_kernels.size());
for (const auto & kernel_pair : dev_ctx->loaded_kernels) {
loaded_kernels.push_back(kernel_pair);
}
return loaded_kernels;
}