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#include "core/layer_split_partition.h"
#include <algorithm>
#include <cstdlib>
#include <cstring>
#include <limits>
#include <unordered_set>
#include <utility>
#include "core/util.h"
namespace sd {
static bool layer_split_path_segment_starts_at(const std::string& name, size_t pos) {
return pos == 0 || name[pos - 1] == '.';
}
static bool layer_split_has_path_segment(const std::string& name, const char* segment) {
size_t pos = name.find(segment);
while (pos != std::string::npos) {
if (layer_split_path_segment_starts_at(name, pos)) {
return true;
}
pos = name.find(segment, pos + 1);
}
return false;
}
int layer_split_tensor_block_index(const std::string& name) {
static const char* unet_block_segments[] = {"input_blocks.", "output_blocks.", "middle_block.",
"down_blocks.", "up_blocks.", "mid_block."};
for (const char* segment : unet_block_segments) {
if (layer_split_has_path_segment(name, segment)) {
return -1;
}
}
static const char* block_keywords[] = {"transformer_blocks.", "joint_blocks.", "double_blocks.",
"single_blocks.", "blocks.", "block.", "layers."};
for (const char* keyword : block_keywords) {
size_t pos = name.find(keyword);
while (pos != std::string::npos) {
if (!layer_split_path_segment_starts_at(name, pos)) {
pos = name.find(keyword, pos + 1);
continue;
}
pos += std::strlen(keyword);
size_t end = pos;
while (end < name.size() && name[end] >= '0' && name[end] <= '9') {
end++;
}
if (end > pos && (end == name.size() || name[end] == '.')) {
return std::atoi(name.substr(pos, end - pos).c_str());
}
break;
}
}
return -1;
}
std::string layer_split_backend_device_display_name(ggml_backend_t backend) {
ggml_backend_dev_t dev = ggml_backend_get_device(backend);
const char* name = dev != nullptr ? ggml_backend_dev_name(dev) : ggml_backend_name(backend);
return name != nullptr ? name : "unknown";
}
static size_t graph_cut_layer_split_backend_vram_limit(const std::vector<size_t>& backend_vram_limits,
size_t backend_index,
size_t primary_backend_vram_limit) {
if (backend_index < backend_vram_limits.size()) {
return backend_vram_limits[backend_index];
}
return backend_index == 0 ? primary_backend_vram_limit : 0;
}
static std::vector<int64_t> graph_cut_layer_split_backend_capacities(const std::vector<ggml_backend_t>& backends,
const std::vector<size_t>& backend_vram_limits,
size_t primary_backend_vram_limit) {
std::vector<int64_t> capacities(backends.size(), std::numeric_limits<int64_t>::max() / 4);
constexpr int64_t compute_headroom_bytes = 2ll * 1024 * 1024 * 1024;
for (size_t i = 0; i < backends.size(); i++) {
ggml_backend_dev_t dev = ggml_backend_get_device(backends[i]);
size_t free_bytes = 0, total_bytes = 0;
if (dev != nullptr) {
ggml_backend_dev_memory(dev, &free_bytes, &total_bytes);
}
if (free_bytes > 0) {
capacities[i] = std::max<int64_t>((int64_t)free_bytes - compute_headroom_bytes, 0);
}
size_t limit_bytes = graph_cut_layer_split_backend_vram_limit(backend_vram_limits,
i,
primary_backend_vram_limit);
if (limit_bytes > 0) {
capacities[i] = std::min<int64_t>(capacities[i], (int64_t)limit_bytes);
}
}
return capacities;
}
bool partition_graph_cut_layer_split(const char* desc,
ggml_cgraph* gf,
const sd::ggml_graph_cut::Plan& plan,
const std::vector<ggml_backend_t>& split_backends,
const std::vector<size_t>& backend_vram_limits,
size_t primary_backend_vram_limit,
std::unordered_map<const ggml_tensor*, ggml_backend_t>& param_assignments,
const std::function<ggml_tensor*(ggml_tensor*)>& canonical_param_tensor,
GraphCutLayerSplitAssignment* assignment_out) {
GGML_ASSERT(gf != nullptr);
GGML_ASSERT(assignment_out != nullptr);
GGML_ASSERT(canonical_param_tensor != nullptr);
GGML_ASSERT(!split_backends.empty());
GraphCutLayerSplitAssignment assignment;
assignment.segment_count = plan.segments.size();
assignment.tensors_by_backend.resize(split_backends.size());
assignment.bytes_by_backend.resize(split_backends.size(), 0);
assignment.first_segment_by_backend.resize(split_backends.size(), plan.segments.size());
assignment.last_segment_by_backend.resize(split_backends.size(), 0);
std::vector<std::vector<ggml_tensor*>> segment_params(plan.segments.size());
std::vector<int64_t> segment_param_bytes(plan.segments.size(), 0);
std::unordered_set<ggml_tensor*> seen_params;
for (size_t seg_idx = 0; seg_idx < plan.segments.size(); seg_idx++) {
std::vector<ggml_tensor*> params = sd::ggml_graph_cut::param_tensors(gf, plan.segments[seg_idx]);
for (ggml_tensor* raw_param : params) {
ggml_tensor* param = canonical_param_tensor(raw_param);
if (param == nullptr || !seen_params.insert(param).second) {
continue;
}
segment_params[seg_idx].push_back(param);
segment_param_bytes[seg_idx] += (int64_t)ggml_nbytes(param);
}
}
int64_t total_param_bytes = 0;
for (int64_t bytes : segment_param_bytes) {
total_param_bytes += bytes;
}
if (total_param_bytes <= 0) {
LOG_ERROR("%s graph-cut layer split found no graph params to assign", desc);
return false;
}
std::vector<int64_t> backend_capacities = graph_cut_layer_split_backend_capacities(split_backends,
backend_vram_limits,
primary_backend_vram_limit);
std::vector<ggml_backend_t> backend_by_segment(plan.segments.size(), split_backends[0]);
size_t current_backend = 0;
int64_t current_used = 0;
for (size_t seg_idx = 0; seg_idx < plan.segments.size(); seg_idx++) {
int64_t bytes = segment_param_bytes[seg_idx];
while (current_backend + 1 < split_backends.size() &&
bytes > 0 &&
current_used + bytes > backend_capacities[current_backend]) {
current_backend++;
current_used = 0;
}
if (bytes > 0 && current_used + bytes > backend_capacities[current_backend]) {
LOG_ERROR("%s graph-cut layer split: segment %zu needs %.1f MB on %s, but only %.1f MB is available under current VRAM limits",
desc,
seg_idx,
(current_used + bytes) / (1024.0 * 1024.0),
layer_split_backend_device_display_name(split_backends[current_backend]).c_str(),
backend_capacities[current_backend] / (1024.0 * 1024.0));
return false;
}
current_used += bytes;
backend_by_segment[seg_idx] = split_backends[current_backend];
for (ggml_tensor* param : segment_params[seg_idx]) {
ggml_backend_t target_backend = split_backends[current_backend];
auto assigned_it = param_assignments.find(param);
if (assigned_it == param_assignments.end()) {
param_assignments[param] = target_backend;
assignment.has_new_param_assignment = true;
} else {
target_backend = assigned_it->second;
}
auto backend_it = std::find(split_backends.begin(), split_backends.end(), target_backend);
if (backend_it == split_backends.end()) {
LOG_ERROR("%s graph-cut layer split tensor '%s' is assigned to an unavailable backend",
desc,
ggml_get_name(param));
return false;
}
size_t backend_idx = (size_t)std::distance(split_backends.begin(), backend_it);
assignment.first_segment_by_backend[backend_idx] = std::min(assignment.first_segment_by_backend[backend_idx], seg_idx);
assignment.last_segment_by_backend[backend_idx] = std::max(assignment.last_segment_by_backend[backend_idx], seg_idx + 1);
assignment.tensors_by_backend[backend_idx].push_back(param);
assignment.bytes_by_backend[backend_idx] += (int64_t)ggml_nbytes(param);
}
}
const int n_nodes = ggml_graph_n_nodes(gf);
for (size_t seg_idx = 0; seg_idx < plan.segments.size(); seg_idx++) {
ggml_backend_t backend = backend_by_segment[seg_idx];
const auto& segment = plan.segments[seg_idx];
for (int node_index : segment.internal_node_indices) {
if (node_index < 0 || node_index >= n_nodes) {
continue;
}
ggml_tensor* node = ggml_graph_node(gf, node_index);
if (node != nullptr) {
assignment.node_assignments[node] = backend;
}
}
for (int node_index : segment.output_node_indices) {
if (node_index < 0 || node_index >= n_nodes) {
continue;
}
ggml_tensor* node = ggml_graph_node(gf, node_index);
if (node != nullptr) {
assignment.node_assignments[node] = backend;
}
}
}
*assignment_out = std::move(assignment);
return true;
}
void log_graph_cut_layer_split_assignment(const char* desc,
const std::vector<ggml_backend_t>& split_backends,
const GraphCutLayerSplitAssignment& assignment) {
for (size_t i = 0; i < split_backends.size(); i++) {
if (i >= assignment.tensors_by_backend.size() ||
assignment.tensors_by_backend[i].empty()) {
continue;
}
size_t first_segment = assignment.first_segment_by_backend[i] == assignment.segment_count
? 0
: assignment.first_segment_by_backend[i];
size_t last_segment = assignment.last_segment_by_backend[i];
if (assignment.has_new_param_assignment) {
LOG_INFO("%s graph-cut layer split: %s <- segments [%zu, %zu), %zu tensors, %.1f MB",
desc,
layer_split_backend_device_display_name(split_backends[i]).c_str(),
first_segment,
last_segment,
assignment.tensors_by_backend[i].size(),
assignment.bytes_by_backend[i] / (1024.0 * 1024.0));
} else {
LOG_DEBUG("%s graph-cut layer split: %s <- segments [%zu, %zu), %zu tensors, %.1f MB",
desc,
layer_split_backend_device_display_name(split_backends[i]).c_str(),
first_segment,
last_segment,
assignment.tensors_by_backend[i].size(),
assignment.bytes_by_backend[i] / (1024.0 * 1024.0));
}
}
}
} // namespace sd