Brunobkr/llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.
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1#include "ggml-alloc.h"2#include "ggml-backend-impl.h"3#include "ggml.h"4#include "ggml-impl.h"5 6#include <assert.h>7#include <limits.h>8#include <stdarg.h>9#include <stdio.h>10#include <stdlib.h>11#include <string.h>12 13#define MAX(a, b) ((a) > (b) ? (a) : (b))14#define MAX_FREE_BLOCKS 25615 16//#define GGML_ALLOCATOR_DEBUG17 18//#define AT_PRINTF(...) GGML_LOG_DEBUG(__VA_ARGS__)19#define AT_PRINTF(...)20 21// ops that return true for this function must not use restrict pointers for their backend implementations22bool ggml_op_can_inplace(enum ggml_op op) {23 switch (op) {24 case GGML_OP_FILL:25 case GGML_OP_SCALE:26 case GGML_OP_DIAG_MASK_ZERO:27 case GGML_OP_DIAG_MASK_INF:28 case GGML_OP_ADD:29 case GGML_OP_ADD_ID:30 case GGML_OP_ADD1:31 case GGML_OP_SUB:32 case GGML_OP_MUL:33 case GGML_OP_DIV:34 case GGML_OP_SQR:35 case GGML_OP_SQRT:36 case GGML_OP_LOG:37 case GGML_OP_UNARY:38 case GGML_OP_ROPE:39 case GGML_OP_ROPE_BACK:40 case GGML_OP_SILU_BACK:41 case GGML_OP_RMS_NORM:42 case GGML_OP_RMS_NORM_BACK:43 case GGML_OP_SOFT_MAX:44 case GGML_OP_SOFT_MAX_BACK:45 return true;46 47 default:48 return false;49 }50}51 52static size_t aligned_offset(const void * buffer, size_t offset, size_t alignment) {53 assert(alignment && !(alignment & (alignment - 1))); // power of 254 size_t align = (alignment - (((uintptr_t)buffer + offset) % alignment)) % alignment;55 return offset + align;56}57 58// tallocr59 60struct ggml_tallocr ggml_tallocr_new(ggml_backend_buffer_t buffer) {61 void * base = ggml_backend_buffer_get_base(buffer);62 size_t align = ggml_backend_buffer_get_alignment(buffer);63 64 assert(align && !(align & (align - 1))); // power of 265 66 struct ggml_tallocr talloc = (struct ggml_tallocr) {67 /*.buffer = */ buffer,68 /*.base = */ base,69 /*.alignment = */ align,70 /*.offset = */ aligned_offset(base, 0, align),71 };72 return talloc;73}74 75enum ggml_status ggml_tallocr_alloc(struct ggml_tallocr * talloc, struct ggml_tensor * tensor) {76 size_t size = ggml_backend_buffer_get_alloc_size(talloc->buffer, tensor);77 size = GGML_PAD(size, talloc->alignment);78 79 if (talloc->offset + size > ggml_backend_buffer_get_size(talloc->buffer)) {80 GGML_LOG_ERROR("%s: not enough space in the buffer to allocate %s (needed %zu, available %zu)\n",81 __func__, tensor->name, size, ggml_backend_buffer_get_size(talloc->buffer) - talloc->offset);82 GGML_ABORT("not enough space in the buffer");83 }84 85 void * addr = (char *)ggml_backend_buffer_get_base(talloc->buffer) + talloc->offset;86 talloc->offset += size;87 88 assert(((uintptr_t)addr % talloc->alignment) == 0);89 90 return ggml_backend_tensor_alloc(talloc->buffer, tensor, addr);91}92 93// dynamic tensor allocator94 95#define GGML_VBUFFER_MAX_CHUNKS 1696 97// relative memory address within an allocation that can be split into multiple buffers (chunks)98struct buffer_address {99 int chunk; // index of a backend buffer100 size_t offset; // local memory offset within the buffer101};102 103static const struct buffer_address GGML_BUFFER_ADDRESS_INVALID = { -1, SIZE_MAX };104 105static bool ggml_buffer_address_less(struct buffer_address a, struct buffer_address b) {106 return a.chunk != b.chunk ? a.chunk < b.chunk : a.offset < b.offset;107}108 109struct free_block {110 size_t offset;111 size_t size;112};113 114struct tallocr_chunk {115 struct free_block free_blocks[MAX_FREE_BLOCKS];116 int n_free_blocks;117 size_t max_size;118};119 120struct ggml_dyn_tallocr {121 size_t alignment;122 size_t max_chunk_size;123 struct tallocr_chunk * chunks[GGML_VBUFFER_MAX_CHUNKS];124 int n_chunks;125 126#ifdef GGML_ALLOCATOR_DEBUG127 struct {128 const struct ggml_tensor * tensor;129 struct buffer_address addr;130 } allocated_tensors[1024];131#endif132};133 134static void ggml_dyn_tallocr_insert_block(struct tallocr_chunk * chunk, size_t offset, size_t size) {135 GGML_ASSERT(chunk->n_free_blocks < MAX_FREE_BLOCKS && "out of free blocks");136 // insert the new block in the correct position to keep the array sorted by address (to make merging blocks faster)137 int insert_pos = 0;138 while (insert_pos < chunk->n_free_blocks && chunk->free_blocks[insert_pos].offset < offset) {139 insert_pos++;140 }141 // shift all blocks from insert_pos onward to make room for the new block142 for (int i = chunk->n_free_blocks; i > insert_pos; i--) {143 chunk->free_blocks[i] = chunk->free_blocks[i-1];144 }145 // insert the new block146 chunk->free_blocks[insert_pos].offset = offset;147 chunk->free_blocks[insert_pos].size = size;148 chunk->n_free_blocks++;149}150 151static void ggml_dyn_tallocr_remove_block(struct tallocr_chunk * chunk, int idx) {152 // shift all elements after idx by 1 to the left, overwriting the element at idx153 for (int i = idx; i < chunk->n_free_blocks - 1; i++) {154 chunk->free_blocks[i] = chunk->free_blocks[i+1];155 }156 chunk->n_free_blocks--;157}158 159static int ggml_dyn_tallocr_new_chunk(struct ggml_dyn_tallocr * alloc, size_t min_size) {160 if (alloc->n_chunks >= GGML_VBUFFER_MAX_CHUNKS) {161 return -1;162 }163 struct tallocr_chunk * chunk = calloc(1, sizeof(struct tallocr_chunk));164 chunk->n_free_blocks = 1;165 chunk->free_blocks[0].offset = 0;166 // available space in a chunk is limited to max_chunk_size, but can be higher if:167 // 1. a single tensor exceeds the maximum, and cannot fit any other way168 // 2. we are running out of chunks169 // backends will either manage to allocate the larger size, or report an error.170 chunk->free_blocks[0].size = MAX(min_size, alloc->max_chunk_size);171 if (alloc->n_chunks == GGML_VBUFFER_MAX_CHUNKS - 1) {172 chunk->free_blocks[0].size = SIZE_MAX/2;173 }174 alloc->chunks[alloc->n_chunks] = chunk;175 alloc->n_chunks++;176 return alloc->n_chunks - 1;177}178 179#ifdef GGML_ALLOCATOR_DEBUG180static void add_allocated_tensor(struct ggml_dyn_tallocr * alloc, struct buffer_address addr, const struct ggml_tensor * tensor) {181 for (int i = 0; i < 1024; i++) {182 if (alloc->allocated_tensors[i].tensor == NULL) {183 alloc->allocated_tensors[i].tensor = tensor;184 alloc->allocated_tensors[i].addr = addr;185 return;186 }187 }188 GGML_ABORT("out of allocated_tensors");189}190static void remove_allocated_tensor(struct ggml_dyn_tallocr * alloc, struct buffer_address addr, const struct ggml_tensor * tensor) {191 for (int i = 0; i < 1024; i++) {192 if (alloc->allocated_tensors[i].addr.chunk == addr.chunk && alloc->allocated_tensors[i].addr.offset == addr.offset) {193 alloc->allocated_tensors[i].tensor = NULL;194 return;195 }196 }197 GGML_ABORT("tried to free tensor %s not found\n", tensor->name);198}199#endif200 201static struct buffer_address ggml_dyn_tallocr_alloc(struct ggml_dyn_tallocr * alloc, size_t size, const struct ggml_tensor * tensor) {202 size = aligned_offset(NULL, size, alloc->alignment);203 204 AT_PRINTF("%s: allocating %s (%zu bytes) - ", __func__, tensor->name, size);205 206 int best_fit_chunk = -1;207 int best_fit_block = -1;208 size_t max_avail = 0;209 210 // find the best fitting free block besides the last block, within any chunk211 for (int c = 0; c < alloc->n_chunks; ++c) {212 struct tallocr_chunk * chunk = alloc->chunks[c];213 size_t best_fit_size = SIZE_MAX;214 for (int i = 0; i < chunk->n_free_blocks - 1; i++) {215 struct free_block * block = &chunk->free_blocks[i];216 max_avail = MAX(max_avail, block->size);217 if (block->size >= size && block->size <= best_fit_size) {218 best_fit_chunk = c;219 best_fit_block = i;220 best_fit_size = block->size;221 }222 }223 }224 225 if (best_fit_block == -1) {226 // no suitable block found, try the last block (this may grow a chunks size)227 int64_t best_reuse = INT64_MIN;228 for (int c = 0; c < alloc->n_chunks; ++c) {229 struct tallocr_chunk * chunk = alloc->chunks[c];230 if (chunk->n_free_blocks > 0) {231 struct free_block * block = &chunk->free_blocks[chunk->n_free_blocks - 1];232 max_avail = MAX(max_avail, block->size);233 int64_t reuse_factor = chunk->max_size - block->offset - size;234 // reuse_factor < 0 : amount of extra memory that needs to be allocated235 // reuse_factor = 0 : allocated free space exactly matches tensor size236 // reuse_factor > 0 : superfluous memory that will remain unused237 bool better_reuse = best_reuse < 0 && reuse_factor > best_reuse;238 bool better_fit = reuse_factor >= 0 && reuse_factor < best_reuse;239 if (block->size >= size && (better_reuse || better_fit)) {240 best_fit_chunk = c;241 best_fit_block = chunk->n_free_blocks - 1;242 best_reuse = reuse_factor;243 }244 }245 }246 }247 248 if (best_fit_block == -1) {249 // none of the existing chunks have enough space left250 best_fit_chunk = ggml_dyn_tallocr_new_chunk(alloc, size);251 best_fit_block = 0;252 }253 if (best_fit_chunk == -1) {254 // since the last chunk always has virtually endless memory, this should never happen255 GGML_LOG_ERROR("%s: not enough space in the buffer to allocate %zu bytes, largest block available %zu bytes\n",256 __func__, size, max_avail);257 GGML_ABORT("graph allocation: failed to reserve memory");258 }259 260 struct tallocr_chunk * chunk = alloc->chunks[best_fit_chunk];261 struct free_block * block = &chunk->free_blocks[best_fit_block];262 struct buffer_address addr = {.chunk = best_fit_chunk, .offset = block->offset };263 block->offset += size;264 block->size -= size;265 if (block->size == 0) {266 // remove block if empty267 ggml_dyn_tallocr_remove_block(chunk, best_fit_block);268 }269 270 AT_PRINTF("block %d, offset %zu, chunk %d\n", best_fit_block, addr.offset, addr.chunk);271 272#ifdef GGML_ALLOCATOR_DEBUG273 add_allocated_tensor(alloc, addr, tensor);274 size_t cur_max = addr.offset + size;275 if (cur_max > chunk->max_size) {276 // sort allocated_tensors by chunk/offset277 for (int i = 0; i < 1024; i++) {278 for (int j = i + 1; j < 1024; j++) {279 if (ggml_buffer_address_less(alloc->allocated_tensors[j].addr, alloc->allocated_tensors[i].addr)) {280 const struct ggml_tensor * tmp_tensor = alloc->allocated_tensors[i].tensor;281 struct buffer_address tmp_addr = alloc->allocated_tensors[i].addr;282 alloc->allocated_tensors[i].tensor = alloc->allocated_tensors[j].tensor;283 alloc->allocated_tensors[i].addr = alloc->allocated_tensors[j].addr;284 alloc->allocated_tensors[j].tensor = tmp_tensor;285 alloc->allocated_tensors[j].addr = tmp_addr;286 }287 }288 }289 GGML_LOG_DEBUG("max_size[%d] = %.2f MB: tensors: ", addr.chunk, cur_max / 1024.0 / 1024.0);290 for (int i = 0; i < 1024; i++) {291 if (alloc->allocated_tensors[i].tensor) {292 GGML_LOG_DEBUG("%s [%d: %zx-%zx] (%.2f MB) ", alloc->allocated_tensors[i].tensor->name,293 alloc->allocated_tensors[i].addr.chunk,294 alloc->allocated_tensors[i].addr.offset,295 alloc->allocated_tensors[i].addr.offset + ggml_nbytes(alloc->allocated_tensors[i].tensor),296 ggml_nbytes(alloc->allocated_tensors[i].tensor) / 1024.0 / 1024.0);297 }298 }299 GGML_LOG_DEBUG("\n");300 }301#endif302 303 chunk->max_size = MAX(chunk->max_size, addr.offset + size);304 305 return addr;306 307 GGML_UNUSED(tensor);308}309 310// this is a very naive implementation, but for our case the number of free blocks should be very small311static void ggml_dyn_tallocr_free_bytes(struct ggml_dyn_tallocr * alloc, struct buffer_address addr, size_t size) {312 size = aligned_offset(NULL, size, alloc->alignment);313 314 struct tallocr_chunk * chunk = alloc->chunks[addr.chunk];315 316 // see if we can merge with an existing block317 for (int i = 0; i < chunk->n_free_blocks; i++) {318 struct free_block * block = &chunk->free_blocks[i];319 // check if ptr is at the end of the block320 if (block->offset + block->size == addr.offset) {321 block->size += size;322 // check if we can merge with the next block323 if (i < chunk->n_free_blocks - 1) {324 struct free_block * next = &chunk->free_blocks[i+1];325 if (block->offset + block->size == next->offset) {326 block->size += next->size;327 ggml_dyn_tallocr_remove_block(chunk, i+1);328 }329 }330 return;331 }332 // check if ptr is at the beginning of the block333 if (addr.offset + size == block->offset) {334 block->offset = addr.offset;335 block->size += size;336 // check if we can merge with the previous block337 if (i > 0) {338 struct free_block * prev = &chunk->free_blocks[i-1];339 if (prev->offset + prev->size == block->offset) {340 prev->size += block->size;341 ggml_dyn_tallocr_remove_block(chunk, i);342 }343 }344 return;345 }346 }347 // otherwise, add a new block348 ggml_dyn_tallocr_insert_block(chunk, addr.offset, size);349}350 351static void ggml_dyn_tallocr_reset(struct ggml_dyn_tallocr * alloc) {352 for (int i = 0; i < GGML_VBUFFER_MAX_CHUNKS; i++) {353 free(alloc->chunks[i]);354 alloc->chunks[i] = NULL;355 }356 alloc->n_chunks = 0;357 358#ifdef GGML_ALLOCATOR_DEBUG359 for (int i = 0; i < 1024; i++) {360 alloc->allocated_tensors[i].tensor = NULL;361 }362#endif363}364 365static struct ggml_dyn_tallocr * ggml_dyn_tallocr_new(size_t alignment, size_t max_buffer_size) {366 struct ggml_dyn_tallocr * alloc = (struct ggml_dyn_tallocr *)malloc(sizeof(struct ggml_dyn_tallocr));367 368 *alloc = (struct ggml_dyn_tallocr) {369 /*.alignment = */ alignment,370 /*.max_chunk_size = */ MIN(max_buffer_size, SIZE_MAX/2), // clamp to avoid overflows371 /*.chunks = */ {NULL},372 /*.n_chunks = */ 0,373#ifdef GGML_ALLOCATOR_DEBUG374 /*.allocated_tensors = */ {{0}},375#endif376 };377 378 ggml_dyn_tallocr_reset(alloc);379 380 return alloc;381}382 383static void ggml_dyn_tallocr_free(struct ggml_dyn_tallocr * alloc) {384 for (int i = 0; i < alloc->n_chunks; ++i) {385 free(alloc->chunks[i]);386 }387 free(alloc);388}389 390static size_t ggml_dyn_tallocr_max_size(struct ggml_dyn_tallocr * alloc, int chunk) {391 return chunk < alloc->n_chunks ? alloc->chunks[chunk]->max_size : 0;392}393 394 395// virtual buffer with contiguous memory range, split into multiple backend buffers (chunks)396 397struct vbuffer {398 ggml_backend_buffer_t chunks[GGML_VBUFFER_MAX_CHUNKS];399};400 401static void ggml_vbuffer_free(struct vbuffer * buf) {402 if (buf == NULL) {403 return;404 }405 for (int i = 0; i < GGML_VBUFFER_MAX_CHUNKS; ++i) {406 ggml_backend_buffer_free(buf->chunks[i]);407 }408 free(buf);409}410 411static size_t ggml_vbuffer_chunk_size(struct vbuffer * buf, int chunk) {412 return buf->chunks[chunk] ? ggml_backend_buffer_get_size(buf->chunks[chunk]) : 0;413}414 415static size_t ggml_vbuffer_size(struct vbuffer * buf) {416 size_t size = 0;417 for (int i = 0; i < GGML_VBUFFER_MAX_CHUNKS && buf->chunks[i]; ++i) {418 size += ggml_backend_buffer_get_size(buf->chunks[i]);419 }420 return size;421}422 423static struct vbuffer * ggml_vbuffer_alloc(ggml_backend_buffer_type_t buft, const struct ggml_dyn_tallocr * talloc, enum ggml_backend_buffer_usage usage) {424 struct vbuffer * buf = (struct vbuffer *)calloc(1, sizeof(struct vbuffer));425 if (buf == NULL) {426 return NULL;427 }428 429 for (int n = 0; n < talloc->n_chunks; n++) {430 size_t chunk_size = talloc->chunks[n]->max_size;431 buf->chunks[n] = ggml_backend_buft_alloc_buffer(buft, chunk_size);432 if (buf->chunks[n] == NULL) {433 ggml_vbuffer_free(buf);434 return NULL;435 }436 ggml_backend_buffer_set_usage(buf->chunks[n], usage);437 }438 return buf;439}440 441static void ggml_vbuffer_tensor_alloc(struct vbuffer * buf, struct ggml_tensor * tensor, struct buffer_address buf_addr) {442 void * base = ggml_backend_buffer_get_base(buf->chunks[buf_addr.chunk]);443 void * addr = (char *)base + buf_addr.offset;444 ggml_backend_tensor_alloc(buf->chunks[buf_addr.chunk], tensor, addr);445}446 447static void ggml_vbuffer_reset(struct vbuffer * buf) {448 for (int i = 0; i < GGML_VBUFFER_MAX_CHUNKS && buf->chunks[i]; ++i) {449 ggml_backend_buffer_reset(buf->chunks[i]);450 }451}452 453 454/////////////////////////////////////455 456// graph allocator457 458struct hash_node {459 int n_children;460 int n_views;461 int buffer_id;462 struct buffer_address addr;463 bool allocated;464};465 466struct tensor_alloc {467 int buffer_id;468 struct buffer_address addr;469 size_t size_max; // 0 = pre-allocated, unused, or view470};471 472struct leaf_alloc {473 struct tensor_alloc leaf;474};475 476struct node_alloc {477 struct tensor_alloc dst;478 struct tensor_alloc src[GGML_MAX_SRC];479};480 481struct ggml_gallocr {482 ggml_backend_buffer_type_t * bufts; // [n_buffers]483 struct vbuffer ** buffers; // [n_buffers]484 struct ggml_dyn_tallocr ** buf_tallocs; // [n_buffers]485 int n_buffers;486 487 struct ggml_hash_set hash_set;488 struct hash_node * hash_values; // [hash_set.size]489 490 struct node_alloc * node_allocs; // [n_nodes]491 int n_nodes;492 493 struct leaf_alloc * leaf_allocs; // [n_leafs]494 int n_leafs;495};496 497ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs) {498 ggml_gallocr_t galloc = (ggml_gallocr_t)calloc(1, sizeof(struct ggml_gallocr));499 GGML_ASSERT(galloc != NULL);500 501 galloc->bufts = calloc(n_bufs, sizeof(ggml_backend_buffer_type_t));502 GGML_ASSERT(galloc->bufts != NULL);503 504 galloc->buffers = calloc(n_bufs, sizeof(struct vbuffer *));505 GGML_ASSERT(galloc->buffers != NULL);506 507 galloc->buf_tallocs = calloc(n_bufs, sizeof(struct ggml_dyn_tallocr *));508 GGML_ASSERT(galloc->buf_tallocs != NULL);509 510 for (int i = 0; i < n_bufs; i++) {511 galloc->bufts[i] = bufts[i];512 galloc->buffers[i] = NULL;513 514 // check if the same buffer type is used multiple times and reuse the same allocator515 for (int j = 0; j < i; j++) {516 if (bufts[i] == bufts[j]) {517 galloc->buf_tallocs[i] = galloc->buf_tallocs[j];518 break;519 }520 }521 522 if (galloc->buf_tallocs[i] == NULL) {523 size_t alignment = ggml_backend_buft_get_alignment(bufts[i]);524 size_t max_size = ggml_backend_buft_get_max_size(bufts[i]);525 galloc->buf_tallocs[i] = ggml_dyn_tallocr_new(alignment, max_size);526 }527 }528 galloc->n_buffers = n_bufs;529 530 return galloc;531}532 533ggml_gallocr_t ggml_gallocr_new(ggml_backend_buffer_type_t buft) {534 return ggml_gallocr_new_n(&buft, 1);535}536 537void ggml_gallocr_free(ggml_gallocr_t galloc) {538 if (galloc == NULL) {539 return;540 }541 542 for (int i = 0; i < galloc->n_buffers; i++) {543 if (galloc->buffers != NULL) {544 // skip if already freed545 bool freed = false;546 for (int j = 0; j < i; j++) {547 if (galloc->buffers[j] == galloc->buffers[i]) {548 freed = true;549 break;550 }551 }552 if (!freed) {553 ggml_vbuffer_free(galloc->buffers[i]);554 }555 }556 if (galloc->buf_tallocs != NULL) {557 // skip if already freed558 bool freed = false;559 for (int j = 0; j < i; j++) {560 if (galloc->buf_tallocs[j] == galloc->buf_tallocs[i]) {561 freed = true;562 break;563 }564 }565 if (!freed) {566 ggml_dyn_tallocr_free(galloc->buf_tallocs[i]);567 }568 }569 }570 571 ggml_hash_set_free(&galloc->hash_set);572 free(galloc->hash_values);573 free(galloc->bufts);574 free(galloc->buffers);575 free(galloc->buf_tallocs);576 free(galloc->node_allocs);577 free(galloc->leaf_allocs);578 free(galloc);579}580 581typedef struct ggml_gallocr * ggml_gallocr_t;582 583static struct hash_node * ggml_gallocr_hash_get(ggml_gallocr_t galloc, struct ggml_tensor * t) {584 size_t i = ggml_hash_find_or_insert(&galloc->hash_set, t);585 return &galloc->hash_values[i];586}587 588static bool ggml_gallocr_is_own(ggml_gallocr_t galloc, struct ggml_tensor * t) {589 return ggml_gallocr_hash_get(galloc, t)->allocated;590}591 592static bool ggml_gallocr_is_allocated(ggml_gallocr_t galloc, struct ggml_tensor * t) {593 return t->data != NULL // tensor data already set externally594 || t->buffer // tensor on external buffer (but not yet allocated)595 || ggml_gallocr_is_own(galloc, t); // tensor will be allocated by galloc596}597 598// free the extra space at the end if the new tensor is smaller599static void ggml_gallocr_free_extra_space(ggml_gallocr_t galloc, struct ggml_tensor * node, struct ggml_tensor * parent) {600 struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);601 struct hash_node * p_hn = ggml_gallocr_hash_get(galloc, parent);602 603 size_t parent_size = ggml_backend_buft_get_alloc_size(galloc->bufts[p_hn->buffer_id], parent);604 size_t node_size = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], node);605 606 GGML_ASSERT(parent_size >= node_size);607 608 // note: we want after the freeing the chunks to continue to be aligned609 struct ggml_dyn_tallocr * p_alloc = galloc->buf_tallocs[p_hn->buffer_id];610 parent_size = aligned_offset(NULL, parent_size, p_alloc->alignment);611 node_size = aligned_offset(NULL, node_size, p_alloc->alignment);612 613 if (parent_size > node_size) {614 struct buffer_address p_addr = p_hn->addr;615 p_addr.offset += node_size;616 size_t extra_size = parent_size - node_size;617 AT_PRINTF("freeing extra %zu bytes from parent %s for %s\n", extra_size, parent->name, node->name);618 ggml_dyn_tallocr_free_bytes(p_alloc, p_addr, extra_size);619 }620}621 622static void ggml_gallocr_allocate_node(ggml_gallocr_t galloc, struct ggml_tensor * node, int buffer_id) {623 GGML_ASSERT(buffer_id >= 0);624 struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);625 626 if (!ggml_gallocr_is_allocated(galloc, node) && !ggml_impl_is_view(node)) {627 hn->allocated = true;628 assert(hn->addr.offset == 0);629 630 // try to reuse a parent's buffer (inplace)631 if (ggml_op_can_inplace(node->op)) {632 for (int i = 0; i < GGML_MAX_SRC; i++) {633 struct ggml_tensor * parent = node->src[i];634 if (parent == NULL) {635 continue;636 }637 638 // if the node's data is external, then we cannot re-use it639 if (!ggml_gallocr_is_own(galloc, parent)) {640 AT_PRINTF("not reusing parent %s for %s as %p is external\n", parent->name, node->name, parent->data);641 continue;642 }643 644 // outputs cannot be reused645 if (parent->flags & GGML_TENSOR_FLAG_OUTPUT || (parent->view_src != NULL && parent->view_src->flags & GGML_TENSOR_FLAG_OUTPUT)) {646 AT_PRINTF("not reusing parent %s for %s as it is an output\n", parent->name, node->name);647 continue;648 }649 650 if (!ggml_are_same_layout(node, parent)) {651 AT_PRINTF("not reusing parent %s for %s as layouts are different\n", parent->name, node->name);652 continue;653 }654 655 struct hash_node * p_hn = ggml_gallocr_hash_get(galloc, parent);656 if (p_hn->n_children == 1 && p_hn->n_views == 0) {657 if (ggml_impl_is_view(parent)) {658 struct ggml_tensor * view_src = parent->view_src;659 struct hash_node * view_src_hn = ggml_gallocr_hash_get(galloc, view_src);660 if (view_src_hn->n_views == 1 && view_src_hn->n_children == 0 && view_src->data == parent->data) {661 AT_PRINTF("reusing view parent %s (%s) for %s\n", parent->name, view_src->name, node->name);662 assert(view_src_hn->addr.chunk == p_hn->addr.chunk && view_src_hn->addr.offset == p_hn->addr.offset);663 hn->buffer_id = p_hn->buffer_id;664 hn->addr = p_hn->addr;665 p_hn->allocated = false; // avoid freeing the parent666 view_src_hn->allocated = false;667 ggml_gallocr_free_extra_space(galloc, node, view_src);668 return;669 }670 } else {671 AT_PRINTF("reusing parent %s for %s\n", parent->name, node->name);672 hn->buffer_id = p_hn->buffer_id;673 hn->addr = p_hn->addr;674 p_hn->allocated = false; // avoid freeing the parent675 ggml_gallocr_free_extra_space(galloc, node, parent);676 return;677 }678 }679 }680 }681 // allocate tensor from the buffer682 struct ggml_dyn_tallocr * alloc = galloc->buf_tallocs[buffer_id];683 ggml_backend_buffer_type_t buft = galloc->bufts[buffer_id];684 size_t size = ggml_backend_buft_get_alloc_size(buft, node);685 hn->buffer_id = buffer_id;686 hn->addr = ggml_dyn_tallocr_alloc(alloc, size, node);687 }688}689 690static void ggml_gallocr_free_node(ggml_gallocr_t galloc, struct ggml_tensor * node) {691 // graph outputs are never freed692 if (node->flags & GGML_TENSOR_FLAG_OUTPUT) {693 AT_PRINTF("not freeing output %s\n", node->name);694 return;695 }696 697 struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);698 int buffer_id = hn->buffer_id;699 struct ggml_dyn_tallocr * alloc = galloc->buf_tallocs[buffer_id];700 ggml_backend_buffer_type_t buft = galloc->bufts[buffer_id];701 size_t size = ggml_backend_buft_get_alloc_size(buft, node);702 703 AT_PRINTF("%s: freeing %s at {chunk=%d, offset=%zu} (%zu bytes) - n_free_blocks = %d\n",704 __func__, node->name, hn->addr.chunk, hn->addr.offset, size, alloc->chunks[hn->addr.chunk]->n_free_blocks);705#ifdef GGML_ALLOCATOR_DEBUG706 remove_allocated_tensor(alloc, hn->addr, node);707#endif708 709 ggml_dyn_tallocr_free_bytes(alloc, hn->addr, size);710 hn->allocated = false;711}712 713static int get_node_buffer_id(const int * node_buffer_ids, int i) {714 return node_buffer_ids ? node_buffer_ids[i] : 0;715}716 717static void ggml_gallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids, const int * leaf_buffer_ids) {718 // clear hash tables719 ggml_hash_set_reset(&galloc->hash_set);720 memset(galloc->hash_values, 0, sizeof(struct hash_node) * galloc->hash_set.size);721 722 // allocate leafs723 // these may be tensors that the application is not using in the graph, but may still want to allocate for other purposes724 for (int i = 0; i < graph->n_leafs; i++) {725 struct ggml_tensor * leaf = graph->leafs[i];726 ggml_gallocr_allocate_node(galloc, leaf, get_node_buffer_id(leaf_buffer_ids, i));727 }728 729 // count number of children and views730 // allocate other graph inputs and leafs first to avoid overwriting them731 for (int i = 0; i < graph->n_nodes; i++) {732 struct ggml_tensor * node = graph->nodes[i];733 734 // TODO: better way to add external dependencies735 // GGML_OP_NONE does not appear normally in the graph nodes, but is used by ggml-backend to add dependencies to736 // control when some tensors are allocated and freed. in this case, the dependencies are in `src`, but the node737 // itself is never used and should not be considered a dependency738 if (ggml_impl_is_view(node) && node->op != GGML_OP_NONE) {739 struct ggml_tensor * view_src = node->view_src;740 ggml_gallocr_hash_get(galloc, view_src)->n_views += 1;741 }742 743 if (node->flags & GGML_TENSOR_FLAG_INPUT) {744 ggml_gallocr_allocate_node(galloc, graph->nodes[i], get_node_buffer_id(node_buffer_ids, i));745 }746 747 for (int j = 0; j < GGML_MAX_SRC; j++) {748 struct ggml_tensor * src = node->src[j];749 if (src == NULL) {750 continue;751 }752 753 ggml_gallocr_hash_get(galloc, src)->n_children += 1;754 755 // allocate explicit inputs756 if (src->flags & GGML_TENSOR_FLAG_INPUT) {757 ggml_gallocr_allocate_node(galloc, src, get_node_buffer_id(node_buffer_ids, i));758 }759 }760 }761 762 // allocate tensors763 for (int i = 0; i < graph->n_nodes; i++) {764 struct ggml_tensor * node = graph->nodes[i];765 int buffer_id = get_node_buffer_id(node_buffer_ids, i);766 767 // allocate parents (only leafs need to be allocated at this point)768 for (int j = 0; j < GGML_MAX_SRC; j++) {769 struct ggml_tensor * parent = node->src[j];770 if (parent == NULL) {771 continue;772 }773 ggml_gallocr_allocate_node(galloc, parent, buffer_id);774 }775 776 // allocate node777 ggml_gallocr_allocate_node(galloc, node, buffer_id);778 779 AT_PRINTF("exec: %s (%s) <= ", ggml_op_desc(node), node->name);780 for (int j = 0; j < GGML_MAX_SRC; j++) {781 struct ggml_tensor * parent = node->src[j];782 if (parent == NULL) {783 continue;784 }785 AT_PRINTF("%s", parent->name);786 if (j < GGML_MAX_SRC - 1 && node->src[j + 1] != NULL) {787 AT_PRINTF(", ");788 }789 }790 AT_PRINTF("\n");791 792 // update parents793 for (int j = 0; j < GGML_MAX_SRC; j++) {794 struct ggml_tensor * parent = node->src[j];795 if (parent == NULL) {796 continue;797 }798 struct hash_node * p_hn = ggml_gallocr_hash_get(galloc, parent);799 p_hn->n_children -= 1;800 801 AT_PRINTF("parent %s: %d children, %d views, allocated: %d\n",802 parent->name, p_hn->n_children, p_hn->n_views, p_hn->allocated);803 804 if (p_hn->n_children == 0 && p_hn->n_views == 0) {805 if (ggml_impl_is_view(parent)) {806 struct ggml_tensor * view_src = parent->view_src;807 struct hash_node * view_src_hn = ggml_gallocr_hash_get(galloc, view_src);808 view_src_hn->n_views -= 1;809 AT_PRINTF("view_src %s: %d children, %d views\n",810 view_src->name, view_src_hn->n_children, view_src_hn->n_views);811 if (view_src_hn->n_views == 0 && view_src_hn->n_children == 0 && view_src_hn->allocated) {812 ggml_gallocr_free_node(galloc, view_src);813 }814 }815 else if (p_hn->allocated) {816 ggml_gallocr_free_node(galloc, parent);817 }818 }819 AT_PRINTF("\n");820 }821 }822}823 824static bool ggml_gallocr_reserve_n_impl(825 ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids, const int * leaf_buffer_ids, bool no_alloc) {826 size_t min_hash_size = graph->n_nodes + graph->n_leafs;827 // add 25% margin to avoid hash collisions828 min_hash_size += min_hash_size / 4;829 830 // initialize hash table831 if (galloc->hash_set.size < min_hash_size) {832 ggml_hash_set_free(&galloc->hash_set);833 galloc->hash_set = ggml_hash_set_new(min_hash_size);834 GGML_ASSERT(galloc->hash_set.keys != NULL);835 836 free(galloc->hash_values);837 galloc->hash_values = malloc(sizeof(struct hash_node) * galloc->hash_set.size);838 GGML_ASSERT(galloc->hash_values != NULL);839 }840 841 // reset allocators842 for (int i = 0; i < galloc->n_buffers; i++) {843 ggml_dyn_tallocr_reset(galloc->buf_tallocs[i]);844 }845 846 // allocate in hash table847 ggml_gallocr_alloc_graph_impl(galloc, graph, node_buffer_ids, leaf_buffer_ids);848 849 // set the node_allocs from the hash table850 if (galloc->n_nodes < graph->n_nodes) {851 free(galloc->node_allocs);852 galloc->node_allocs = calloc(graph->n_nodes, sizeof(struct node_alloc));853 GGML_ASSERT(galloc->node_allocs != NULL);854 }855 galloc->n_nodes = graph->n_nodes;856 for (int i = 0; i < graph->n_nodes; i++) {857 struct ggml_tensor * node = graph->nodes[i];858 struct node_alloc * node_alloc = &galloc->node_allocs[i];859 if (node->view_src || node->data) {860 node_alloc->dst.buffer_id = -1;861 node_alloc->dst.addr = GGML_BUFFER_ADDRESS_INVALID;862 node_alloc->dst.size_max = 0;863 } else {864 struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);865 node_alloc->dst.buffer_id = hn->buffer_id;866 node_alloc->dst.addr = hn->addr;867 node_alloc->dst.size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], node);868 }869 for (int j = 0; j < GGML_MAX_SRC; j++) {870 struct ggml_tensor * src = node->src[j];871 if (!src || src->view_src || src->data) {872 node_alloc->src[j].buffer_id = -1;873 node_alloc->src[j].addr = GGML_BUFFER_ADDRESS_INVALID;874 node_alloc->src[j].size_max = 0;875 } else {876 struct hash_node * hn = ggml_gallocr_hash_get(galloc, src);877 node_alloc->src[j].buffer_id = hn->buffer_id;878 node_alloc->src[j].addr = hn->addr;879 node_alloc->src[j].size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], src);880 }881 }882 }883 if (galloc->n_leafs < graph->n_leafs) {884 free(galloc->leaf_allocs);885 galloc->leaf_allocs = calloc(graph->n_leafs, sizeof(galloc->leaf_allocs[0]));886 GGML_ASSERT(galloc->leaf_allocs != NULL);887 }888 galloc->n_leafs = graph->n_leafs;889 for (int i = 0; i < graph->n_leafs; i++) {890 struct ggml_tensor * leaf = graph->leafs[i];891 struct hash_node * hn = ggml_gallocr_hash_get(galloc, leaf);892 if (leaf->view_src || leaf->data) {893 galloc->leaf_allocs[i].leaf.buffer_id = -1;894 galloc->leaf_allocs[i].leaf.addr = GGML_BUFFER_ADDRESS_INVALID;895 galloc->leaf_allocs[i].leaf.size_max = 0;896 } else {897 galloc->leaf_allocs[i].leaf.buffer_id = hn->buffer_id;898 galloc->leaf_allocs[i].leaf.addr = hn->addr;899 galloc->leaf_allocs[i].leaf.size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], leaf);900 }901 }902 903 // reallocate buffers if needed904 for (int i = 0; i < galloc->n_buffers; i++) {905 // if the buffer type is used multiple times, we reuse the same buffer906 for (int j = 0; j < i; j++) {907 if (galloc->buf_tallocs[j] == galloc->buf_tallocs[i]) {908 galloc->buffers[i] = galloc->buffers[j];909 break;910 }911 }912 913 // even if there are no tensors allocated in this buffer, we still need to allocate it to initialize views914 bool realloc = galloc->buffers[i] == NULL;915 size_t new_size = 0;916 for (int c = 0; c < galloc->buf_tallocs[i]->n_chunks; c++) {917 size_t cur_chunk_size = galloc->buffers[i] ? ggml_vbuffer_chunk_size(galloc->buffers[i], c) : 0;918 size_t new_chunk_size = ggml_dyn_tallocr_max_size(galloc->buf_tallocs[i], c);919 new_size += new_chunk_size;920 if (new_chunk_size > cur_chunk_size) {921 realloc = true;922 }923 }924 if (realloc) {925#ifndef NDEBUG926 {927 size_t cur_size = galloc->buffers[i] ? ggml_vbuffer_size(galloc->buffers[i]) : 0;928 if (cur_size > 0) {929 GGML_LOG_DEBUG("%s: reallocating %s buffer from size %.02f MiB to %.02f MiB\n",930 __func__, ggml_backend_buft_name(galloc->bufts[i]), cur_size / 1024.0 / 1024.0, new_size / 1024.0 / 1024.0);931 }932 }933#endif934 ggml_vbuffer_free(galloc->buffers[i]);935 if (no_alloc) {936 galloc->buffers[i] = NULL;937 } else {938 galloc->buffers[i] = ggml_vbuffer_alloc(galloc->bufts[i], galloc->buf_tallocs[i], GGML_BACKEND_BUFFER_USAGE_COMPUTE);939 if (galloc->buffers[i] == NULL) {940 GGML_LOG_ERROR("%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(galloc->bufts[i]), new_size);941 return false;942 }943 }944 }945 }946 947 return true;948}949 950void ggml_gallocr_reserve_n_size(951 ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids, const int * leaf_buffer_ids, size_t * sizes) {952 GGML_ASSERT(ggml_gallocr_reserve_n_impl(galloc, graph, node_buffer_ids, leaf_buffer_ids, /*no_alloc =*/ true));953 for (int i = 0; i < galloc->n_buffers; i++) {954 sizes[i] = 0;955 for (int c = 0; c < galloc->buf_tallocs[i]->n_chunks; c++) {956 sizes[i] += galloc->buf_tallocs[i]->chunks[c]->max_size;957 }958 }959}960 961bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids, const int * leaf_buffer_ids) {962 return ggml_gallocr_reserve_n_impl(galloc, graph, node_buffer_ids, leaf_buffer_ids, /*no_alloc =*/ false);963}964 965bool ggml_gallocr_reserve(ggml_gallocr_t galloc, struct ggml_cgraph *graph) {966 return ggml_gallocr_reserve_n(galloc, graph, NULL, NULL);967}968 969static void ggml_gallocr_init_tensor(ggml_gallocr_t galloc, struct ggml_tensor * tensor, struct tensor_alloc * tensor_alloc) {970 int buffer_id = tensor_alloc->buffer_id;971 assert(tensor->data || tensor->view_src || ggml_backend_buft_get_alloc_size(galloc->bufts[buffer_id], tensor) <= tensor_alloc->size_max);972 973 if (tensor->view_src != NULL) {974 if (tensor->buffer == NULL) {975 assert(tensor_alloc->addr.offset == SIZE_MAX);976 if (tensor->view_src->buffer == NULL) {977 // this tensor was allocated without ggml-backend978 return;979 }980 ggml_backend_view_init(tensor);981 }982 } else {983 if (tensor->data == NULL) {984 assert(tensor_alloc->addr.offset != SIZE_MAX);985 assert(ggml_backend_buft_get_alloc_size(galloc->bufts[buffer_id], tensor) <= tensor_alloc->size_max);986 ggml_vbuffer_tensor_alloc(galloc->buffers[buffer_id], tensor, tensor_alloc->addr);987 } else {988 if (tensor->buffer == NULL) {989 // this tensor was allocated without ggml-backend990 return;991 }992 }993 }994}995 996static bool ggml_gallocr_node_needs_realloc(ggml_gallocr_t galloc, struct ggml_tensor * node, struct tensor_alloc * talloc) {997 size_t node_size = 0;998 if (!node->data && !node->view_src) {999 // If we previously had data but don't now then reallocate1000 if (talloc->buffer_id < 0) {1001 return false;1002 }1003 node_size = ggml_backend_buft_get_alloc_size(galloc->bufts[talloc->buffer_id], node);1004 }1005 return talloc->size_max >= node_size;1006}1007 1008static bool ggml_gallocr_needs_realloc(ggml_gallocr_t galloc, struct ggml_cgraph * graph) {1009 if (galloc->n_nodes != graph->n_nodes) {1010#ifndef NDEBUG1011 GGML_LOG_DEBUG("%s: graph has different number of nodes\n", __func__);1012#endif1013 return true;1014 }1015 1016 if (galloc->n_leafs != graph->n_leafs) {1017#ifndef NDEBUG1018 GGML_LOG_DEBUG("%s: graph has different number of leafs\n", __func__);1019#endif1020 return true;1021 }1022 1023 for (int i = 0; i < graph->n_nodes; i++) {1024 struct ggml_tensor * node = graph->nodes[i];1025 struct node_alloc * node_alloc = &galloc->node_allocs[i];1026 1027 if (!ggml_gallocr_node_needs_realloc(galloc, node, &node_alloc->dst)) {1028#ifndef NDEBUG1029 GGML_LOG_DEBUG("%s: node %s is not valid\n", __func__, node->name);1030#endif1031 return true;1032 }1033 1034 for (int j = 0; j < GGML_MAX_SRC; j++) {1035 struct ggml_tensor * src = node->src[j];1036 if (src == NULL) {1037 continue;1038 }1039 if (!ggml_gallocr_node_needs_realloc(galloc, src, &node_alloc->src[j])) {1040#ifndef NDEBUG1041 GGML_LOG_DEBUG("%s: src %d (%s) of node %s is not valid\n", __func__, j, src->name, node->name);1042#endif1043 return true;1044 }1045 }1046 }1047 1048 return false;1049}1050 1051bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph) {1052 if (ggml_gallocr_needs_realloc(galloc, graph)) {1053 if (galloc->n_buffers == 1) {1054#ifndef NDEBUG1055 GGML_LOG_DEBUG("%s: reallocating buffers automatically\n", __func__);1056#endif1057 if (!ggml_gallocr_reserve(galloc, graph)) {1058 return false;1059 }1060 } else {1061#ifndef NDEBUG1062 GGML_LOG_DEBUG("%s: cannot reallocate multi buffer graph automatically, call reserve\n", __func__);1063#endif1064 return false;1065 }1066 }1067 1068 // reset buffers1069 for (int i = 0; i < galloc->n_buffers; i++) {1070 if (galloc->buffers[i] != NULL) {1071 ggml_vbuffer_reset(galloc->buffers[i]);1072 }1073 }1074 1075 // allocate the graph tensors from the previous assignments1076 // leafs1077 for (int i = 0; i < graph->n_leafs; i++) {1078 struct ggml_tensor * leaf = graph->leafs[i];1079 struct leaf_alloc * leaf_alloc = &galloc->leaf_allocs[i];1080 ggml_gallocr_init_tensor(galloc, leaf, &leaf_alloc->leaf);1081 }1082 // nodes1083 for (int i = 0; i < graph->n_nodes; i++) {1084 struct ggml_tensor * node = graph->nodes[i];1085 struct node_alloc * node_alloc = &galloc->node_allocs[i];1086 for (int j = 0; j < GGML_MAX_SRC; j++) {1087 struct ggml_tensor * src = node->src[j];1088 if (src == NULL) {1089 continue;1090 }1091 ggml_gallocr_init_tensor(galloc, src, &node_alloc->src[j]);1092 }1093 ggml_gallocr_init_tensor(galloc, node, &node_alloc->dst);1094 }1095 1096 return true;1097}1098 1099size_t ggml_gallocr_get_buffer_size(ggml_gallocr_t galloc, int buffer_id) {1100 GGML_ASSERT(buffer_id >= 0 && buffer_id < galloc->n_buffers);1101 1102 if (galloc->buffers[buffer_id] == NULL) {1103 return 0;1104 }1105 1106 for (int i = 0; i < buffer_id; i++) {1107 if (galloc->buffers[i] == galloc->buffers[buffer_id]) {1108 // this buffer is the same as a previous one due to the same buffer type being used multiple times1109 // only return the buffer size the first time it appears to avoid double counting1110 return 0;1111 }1112 }1113 1114 return ggml_vbuffer_size(galloc->buffers[buffer_id]);1115}1116 1117// utils1118 1119static void free_buffers(ggml_backend_buffer_t ** buffers, const size_t * n_buffers) {1120 for (size_t i = 0; i < *n_buffers; i++) {1121 ggml_backend_buffer_free((*buffers)[i]);1122 }1123 free(*buffers);1124}1125 1126static bool alloc_tensor_range(struct ggml_context * ctx,1127 struct ggml_tensor * first, struct ggml_tensor * last,1128 ggml_backend_buffer_type_t buft, size_t size,1129 ggml_backend_buffer_t ** buffers, size_t * n_buffers) {1130 1131 ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, size);1132 if (buffer == NULL) {1133 GGML_LOG_ERROR("%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(buft), size);1134 free_buffers(buffers, n_buffers);1135 return false;1136 }1137 1138 *buffers = realloc(*buffers, sizeof(ggml_backend_buffer_t) * (*n_buffers + 1));1139 (*buffers)[(*n_buffers)++] = buffer;1140 1141 struct ggml_tallocr tallocr = ggml_tallocr_new(buffer);1142 1143 for (struct ggml_tensor * t = first; t != last; t = ggml_get_next_tensor(ctx, t)) {1144 enum ggml_status status = GGML_STATUS_SUCCESS;1145 if (t->data == NULL) {1146 if (t->view_src == NULL) {1147 status = ggml_tallocr_alloc(&tallocr, t);1148 } else if (t->buffer == NULL) {1149 status = ggml_backend_view_init(t);1150 }1151 } else {1152 if (t->view_src != NULL && t->buffer == NULL) {1153 // view of a pre-allocated tensor1154 status = ggml_backend_view_init(t);1155 }1156 }1157 if (status != GGML_STATUS_SUCCESS) {1158 GGML_LOG_ERROR("%s: failed to initialize tensor %s\n", __func__, t->name);1159 free_buffers(buffers, n_buffers);1160 return false;1161 }1162 }1163 1164 return true;1165}1166 1167static ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft_impl(1168 struct ggml_context * ctx, ggml_backend_buffer_type_t buft, size_t * nbytes_total, bool no_alloc) {1169 GGML_ASSERT(ggml_get_no_alloc(ctx) == true);1170 1171 size_t alignment = ggml_backend_buft_get_alignment(buft);1172 size_t max_size = ggml_backend_buft_get_max_size(buft);1173 1174 ggml_backend_buffer_t * buffers = NULL;1175 size_t n_buffers = 0;1176 *nbytes_total = 0;1177 1178 size_t cur_buf_size = 0;1179 struct ggml_tensor * first = ggml_get_first_tensor(ctx);1180 for (struct ggml_tensor * t = first; t != NULL; t = ggml_get_next_tensor(ctx, t)) {1181 size_t this_size = 0;1182 if (t->data == NULL && t->view_src == NULL) {1183 this_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment);1184 }1185 1186 if (cur_buf_size > 0 && (cur_buf_size + this_size) > max_size) {1187 // allocate tensors in the current buffer1188 if (!no_alloc && !alloc_tensor_range(ctx, first, t, buft, cur_buf_size, &buffers, &n_buffers)) {1189 return NULL;1190 }1191 first = t;1192 *nbytes_total += cur_buf_size;1193 cur_buf_size = this_size;1194 } else {1195 cur_buf_size += this_size;1196 }1197 }1198 1199 // allocate remaining tensors1200 if (cur_buf_size > 0) {