sync : ggml (backend v2) (#3912)

* sync : ggml (backend v2) (wip)

* sync : migrate examples and llama.cpp to dynamic graphs (wip)

* sync : update tests + fix max op params to 64

ggml-ci

* sync : ggml-cuda

ggml-ci

* llama : fix save/load state context size

ggml-ci

* sync : try to fix build on tvOS

* sync : pass custom graph sizes in training examples

* sync : update graph copies to new ggml API

* sync : update sync-ggml.sh with new files

* scripts : fix header in sync script

* train : fix context size calculations

* llama : increase inference graph size up to 4096 nodes

* train : allocate grads for backward graphs

* train : allocate grads for gb_tmp
This commit is contained in:
Georgi Gerganov 2023-11-13 14:16:23 +02:00 committed by GitHub
parent bb50a792ec
commit 4760e7cc0b
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
22 changed files with 1994 additions and 864 deletions

View file

@ -1,51 +1,21 @@
#include "ggml-alloc.h"
#include "ggml-backend.h"
#include "ggml-backend-impl.h"
#include "ggml.h"
#include "ggml-impl.h"
#include <assert.h>
#include <limits.h>
#include <stdarg.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#define UNUSED(x) (void)(x)
#define MAX(a, b) ((a) > (b) ? (a) : (b))
#define GGML_MAX_CONCUR (2*GGML_MAX_NODES)
#define MAX_FREE_BLOCKS 256
//#define GGML_ALLOCATOR_DEBUG
//#define AT_PRINTF printf
#define AT_PRINTF(...) ((void)0)
struct hash_node {
struct ggml_tensor * t;
int n_children;
int n_views;
};
static size_t hash(void * p) {
return (size_t)p % GGML_GRAPH_HASHTABLE_SIZE;
}
static struct hash_node * hash_get(struct hash_node hash_table[], struct ggml_tensor * t) {
size_t h = hash(t);
// linear probing
size_t i = h;
while (hash_table[i].t != NULL) {
if (hash_table[i].t == t) {
return &hash_table[i];
}
i = (i + 1) % GGML_GRAPH_HASHTABLE_SIZE;
if (i == h) {
// hash table is full
GGML_ASSERT(false);
}
}
hash_table[i].t = t;
return &hash_table[i];
}
//#define AT_PRINTF(...) fprintf(stderr, __VA_ARGS__)
#define AT_PRINTF(...)
// TODO: GGML_PAD ?
static size_t aligned_offset(const void * buffer, size_t offset, size_t alignment) {
@ -59,20 +29,18 @@ struct free_block {
size_t size;
};
#define MAX_FREE_BLOCKS 256
struct ggml_allocr {
struct ggml_tallocr {
struct ggml_backend_buffer * buffer;
bool buffer_owned;
void * data;
void * base;
size_t alignment;
int n_free_blocks;
struct free_block free_blocks[MAX_FREE_BLOCKS];
struct hash_node hash_table[GGML_GRAPH_HASHTABLE_SIZE];
size_t max_size;
bool measure;
int parse_seq[GGML_MAX_CONCUR];
int parse_seq_len;
#ifdef GGML_ALLOCATOR_DEBUG
struct ggml_tensor * allocated_tensors[1024];
@ -80,7 +48,7 @@ struct ggml_allocr {
};
#ifdef GGML_ALLOCATOR_DEBUG
static void add_allocated_tensor(struct ggml_allocr * alloc, struct ggml_tensor * tensor) {
static void add_allocated_tensor(ggml_tallocr_t alloc, struct ggml_tensor * tensor) {
for (int i = 0; i < 1024; i++) {
if (alloc->allocated_tensors[i] == NULL) {
alloc->allocated_tensors[i] = tensor;
@ -89,7 +57,7 @@ static void add_allocated_tensor(struct ggml_allocr * alloc, struct ggml_tensor
}
GGML_ASSERT(!"out of allocated_tensors");
}
static void remove_allocated_tensor(struct ggml_allocr * alloc, struct ggml_tensor * tensor) {
static void remove_allocated_tensor(ggml_tallocr_t alloc, struct ggml_tensor * tensor) {
for (int i = 0; i < 1024; i++) {
if (alloc->allocated_tensors[i] == tensor ||
(alloc->allocated_tensors[i] != NULL && alloc->allocated_tensors[i]->data == tensor->data)) {
@ -103,7 +71,7 @@ static void remove_allocated_tensor(struct ggml_allocr * alloc, struct ggml_tens
#endif
// check if a tensor is allocated by this buffer
static bool ggml_allocr_is_own(struct ggml_allocr * alloc, const struct ggml_tensor * tensor) {
static bool ggml_tallocr_is_own(ggml_tallocr_t alloc, const struct ggml_tensor * tensor) {
return tensor->buffer == alloc->buffer;
}
@ -111,7 +79,7 @@ static bool ggml_is_view(struct ggml_tensor * t) {
return t->view_src != NULL;
}
void ggml_allocr_alloc(struct ggml_allocr * alloc, struct ggml_tensor * tensor) {
void ggml_tallocr_alloc(ggml_tallocr_t alloc, struct ggml_tensor * tensor) {
GGML_ASSERT(!ggml_is_view(tensor)); // views generally get data pointer from one of their sources
GGML_ASSERT(tensor->data == NULL); // avoid allocating tensor which already has memory allocated
@ -162,9 +130,10 @@ void ggml_allocr_alloc(struct ggml_allocr * alloc, struct ggml_tensor * tensor)
}
tensor->data = addr;
AT_PRINTF("%s: allocated data at %p\n", __func__, tensor->data);
tensor->buffer = alloc->buffer;
ggml_backend_buffer_init_tensor(alloc->buffer, tensor);
if (!alloc->measure) {
ggml_backend_buffer_init_tensor(alloc->buffer, tensor);
}
#ifdef GGML_ALLOCATOR_DEBUG
add_allocated_tensor(alloc, tensor);
@ -180,16 +149,16 @@ void ggml_allocr_alloc(struct ggml_allocr * alloc, struct ggml_tensor * tensor)
}
#endif
alloc->max_size = MAX(alloc->max_size, (char*)addr - (char*)alloc->data + size);
alloc->max_size = MAX(alloc->max_size, (char*)addr - (char*)alloc->base + size);
}
// this is a very naive implementation, but for our case the number of free blocks should be very small
static void ggml_allocr_free_tensor(struct ggml_allocr * alloc, struct ggml_tensor * tensor) {
if (ggml_allocr_is_own(alloc, tensor) == false) {
static void ggml_tallocr_free_tensor(ggml_tallocr_t alloc, struct ggml_tensor * tensor) {
if (ggml_tallocr_is_own(alloc, tensor) == false) {
// the tensor was not allocated in this buffer
// this can happen because the graph allocator will try to free weights and other tensors from different buffers
// the easiest way to deal with this is just to ignore it
AT_PRINTF("ignoring %s (their buffer: %p, our buffer: %p)\n", tensor->name, (void *)tensor->buffer, (void *)alloc->buffer);
// AT_PRINTF("ignoring %s (their buffer: %p, our buffer: %p)\n", tensor->name, (void *)tensor->buffer, (void *)alloc->buffer);
return;
}
@ -199,7 +168,9 @@ static void ggml_allocr_free_tensor(struct ggml_allocr * alloc, struct ggml_tens
size = aligned_offset(NULL, size, alloc->alignment);
AT_PRINTF("%s: freeing %s at %p (%zu bytes) - n_free_blocks = %d\n", __func__, tensor->name, ptr, size, alloc->n_free_blocks);
ggml_backend_buffer_free_tensor(alloc->buffer, tensor);
if (!alloc->measure) {
ggml_backend_buffer_free_tensor(alloc->buffer, tensor);
}
#ifdef GGML_ALLOCATOR_DEBUG
remove_allocated_tensor(alloc, tensor);
@ -253,91 +224,180 @@ static void ggml_allocr_free_tensor(struct ggml_allocr * alloc, struct ggml_tens
alloc->n_free_blocks++;
}
void ggml_allocr_set_parse_seq(struct ggml_allocr * alloc, const int * list, int n) {
for (int i = 0; i < n; i++) {
alloc->parse_seq[i] = list[i];
}
alloc->parse_seq_len = n;
}
void ggml_allocr_reset(struct ggml_allocr * alloc) {
void ggml_tallocr_reset(ggml_tallocr_t alloc) {
alloc->n_free_blocks = 1;
size_t align_offset = aligned_offset(alloc->data, 0, alloc->alignment);
alloc->free_blocks[0].addr = (char *)alloc->data + align_offset;
alloc->free_blocks[0].size = ggml_backend_buffer_get_size(alloc->buffer) - align_offset;
size_t align_offset = aligned_offset(alloc->base, 0, alloc->alignment);
alloc->free_blocks[0].addr = (char *)alloc->base + align_offset;
if (alloc->measure) {
alloc->free_blocks[0].size = SIZE_MAX/2; // restrict maximum size of a measure allocator to half size_t max to avoid overflows
} else {
alloc->free_blocks[0].size = ggml_backend_buffer_get_size(alloc->buffer) - align_offset;
}
}
struct ggml_allocr * ggml_allocr_new(void * data, size_t size, size_t alignment) {
ggml_tallocr_t ggml_tallocr_new(void * data, size_t size, size_t alignment) {
struct ggml_backend_buffer * buffer = ggml_backend_cpu_buffer_from_ptr(NULL, data, size);
struct ggml_allocr * alloc = (struct ggml_allocr *)malloc(sizeof(struct ggml_allocr));
ggml_tallocr_t alloc = (ggml_tallocr_t)malloc(sizeof(struct ggml_tallocr));
*alloc = (struct ggml_allocr){
*alloc = (struct ggml_tallocr) {
/*.buffer = */ buffer,
/*.buffer_owned = */ true,
/*.base = */ ggml_backend_buffer_get_base(buffer),
/*.alignment = */ alignment,
/*.n_free_blocks = */ 0,
/*.free_blocks = */ {{0}},
/*.hash_table = */ {{0}},
/*.max_size = */ 0,
/*.measure = */ false,
/*.parse_seq = */ {0},
/*.parse_seq_len = */ 0,
#ifdef GGML_ALLOCATOR_DEBUG
/*.allocated_tensors = */ {0},
#endif
};
ggml_allocr_reset(alloc);
ggml_tallocr_reset(alloc);
return alloc;
}
struct ggml_allocr * ggml_allocr_new_measure(size_t alignment) {
struct ggml_allocr * alloc = ggml_allocr_new((void *)0x1000, (size_t)-0x1001, alignment);
ggml_tallocr_t ggml_tallocr_new_measure(size_t alignment) {
ggml_tallocr_t alloc = ggml_tallocr_new((void *)0x1000, SIZE_MAX/2, alignment);
alloc->measure = true;
return alloc;
}
struct ggml_allocr * ggml_allocr_new_from_buffer(struct ggml_backend_buffer * buffer) {
struct ggml_allocr * alloc = (struct ggml_allocr *)malloc(sizeof(struct ggml_allocr));
ggml_tallocr_t ggml_tallocr_new_measure_from_backend(struct ggml_backend * backend) {
// create a backend buffer to get the correct tensor allocation sizes
ggml_backend_buffer_t buffer = ggml_backend_alloc_buffer(backend, 1);
*alloc = (struct ggml_allocr){
// TODO: move alloc initialization to a common ggml_tallocr_new_impl function
ggml_tallocr_t alloc = ggml_tallocr_new_from_buffer(buffer);
alloc->buffer_owned = true;
alloc->measure = true;
ggml_tallocr_reset(alloc);
return alloc;
}
ggml_tallocr_t ggml_tallocr_new_from_backend(struct ggml_backend * backend, size_t size) {
ggml_backend_buffer_t buffer = ggml_backend_alloc_buffer(backend, size);
ggml_tallocr_t alloc = ggml_tallocr_new_from_buffer(buffer);
alloc->buffer_owned = true;
return alloc;
}
ggml_tallocr_t ggml_tallocr_new_from_buffer(struct ggml_backend_buffer * buffer) {
ggml_tallocr_t alloc = (ggml_tallocr_t)malloc(sizeof(struct ggml_tallocr));
*alloc = (struct ggml_tallocr) {
/*.buffer = */ buffer,
/*.buffer_owned = */ false,
/*.base = */ ggml_backend_buffer_get_base(buffer),
/*.alignment = */ ggml_backend_buffer_get_alignment(buffer),
/*.n_free_blocks = */ 0,
/*.free_blocks = */ {{0}},
/*.hash_table = */ {{0}},
/*.max_size = */ 0,
/*.measure = */ false,
/*.parse_seq = */ {0},
/*.parse_seq_len = */ 0,
#ifdef GGML_ALLOCATOR_DEBUG
/*.allocated_tensors = */ {0},
#endif
};
ggml_allocr_reset(alloc);
ggml_tallocr_reset(alloc);
return alloc;
}
void ggml_allocr_free(struct ggml_allocr * alloc) {
struct ggml_backend_buffer * ggml_tallocr_get_buffer(ggml_tallocr_t alloc) {
return alloc->buffer;
}
void ggml_tallocr_free(ggml_tallocr_t alloc) {
if (alloc == NULL) {
return;
}
if (alloc->buffer_owned) {
ggml_backend_buffer_free(alloc->buffer);
}
free(alloc);
}
bool ggml_allocr_is_measure(struct ggml_allocr * alloc) {
bool ggml_tallocr_is_measure(ggml_tallocr_t alloc) {
return alloc->measure;
}
//////////// compute graph allocator
size_t ggml_tallocr_max_size(ggml_tallocr_t alloc) {
return alloc->max_size;
}
// graph allocator
struct hash_node {
int n_children;
int n_views;
};
struct ggml_gallocr {
ggml_tallocr_t talloc;
struct ggml_hash_set hash_set;
struct hash_node * hash_values;
size_t hash_values_size;
ggml_tallocr_t * hash_allocs;
int * parse_seq;
int parse_seq_len;
};
ggml_gallocr_t ggml_gallocr_new(void) {
ggml_gallocr_t galloc = (ggml_gallocr_t)malloc(sizeof(struct ggml_gallocr));
*galloc = (struct ggml_gallocr) {
/*.talloc = */ NULL,
/*.hash_set = */ {0},
/*.hash_values = */ NULL,
/*.hash_values_size = */ 0,
/*.hash_allocs = */ NULL,
/*.parse_seq = */ NULL,
/*.parse_seq_len = */ 0,
};
return galloc;
}
void ggml_gallocr_free(ggml_gallocr_t galloc) {
if (galloc == NULL) {
return;
}
if (galloc->hash_set.keys != NULL) {
free(galloc->hash_set.keys);
}
if (galloc->hash_values != NULL) {
free(galloc->hash_values);
}
if (galloc->hash_allocs != NULL) {
free(galloc->hash_allocs);
}
if (galloc->parse_seq != NULL) {
free(galloc->parse_seq);
}
free(galloc);
}
void ggml_gallocr_set_parse_seq(ggml_gallocr_t galloc, const int * list, int n) {
free(galloc->parse_seq);
galloc->parse_seq = malloc(sizeof(int) * n);
for (int i = 0; i < n; i++) {
galloc->parse_seq[i] = list[i];
}
galloc->parse_seq_len = n;
}
static struct hash_node * hash_get(ggml_gallocr_t galloc, struct ggml_tensor * t) {
size_t i = ggml_hash_find_or_insert(galloc->hash_set, t);
return &galloc->hash_values[i];
}
static bool ggml_are_same_layout(const struct ggml_tensor * a, const struct ggml_tensor * b) {
if (a->type != b->type) {
@ -378,27 +438,40 @@ static bool ggml_op_can_inplace(enum ggml_op op) {
}
}
static void init_view(struct ggml_allocr * alloc, struct ggml_tensor * view, bool update_backend) {
assert(view->view_src != NULL && view->view_src->data != NULL);
static ggml_tallocr_t node_tallocr(ggml_gallocr_t galloc, struct ggml_tensor * node) {
if (galloc->talloc != NULL) {
return galloc->talloc;
}
return galloc->hash_allocs[ggml_hash_find_or_insert(galloc->hash_set, node)];
}
static void init_view(ggml_gallocr_t galloc, struct ggml_tensor * view, bool update_backend) {
ggml_tallocr_t alloc = node_tallocr(galloc, view);
//printf("init_view: %s from src %s\n", view->name, view->view_src->name);
GGML_ASSERT(view->view_src != NULL && view->view_src->data != NULL);
if (update_backend) {
view->backend = view->view_src->backend;
}
view->buffer = view->view_src->buffer;
view->data = (char *)view->view_src->data + view->view_offs;
// FIXME: the view should be initialized by the owning buffer, but currently this breaks the CUDA backend
// due to the ggml_tensor_extra_gpu ring buffer overwriting the KV cache extras
assert(ggml_allocr_is_measure(alloc) || !view->buffer || view->buffer->backend == alloc->buffer->backend);
ggml_backend_buffer_init_tensor(alloc->buffer, view);
assert(ggml_tallocr_is_measure(alloc) || !view->buffer || view->buffer->backend == alloc->buffer->backend);
if (!alloc->measure) {
ggml_backend_buffer_init_tensor(alloc->buffer, view);
}
}
static void allocate_node(struct ggml_allocr * alloc, struct ggml_tensor * node) {
struct hash_node * ht = alloc->hash_table;
static void allocate_node(ggml_gallocr_t galloc, struct ggml_tensor * node) {
ggml_tallocr_t alloc = node_tallocr(galloc, node);
if (node->data == NULL) {
if (ggml_is_view(node)) {
init_view(alloc, node, true);
init_view(galloc, node, true);
} else {
// see if we can reuse a parent's buffer (inplace)
if (ggml_op_can_inplace(node->op)) {
@ -409,16 +482,16 @@ static void allocate_node(struct ggml_allocr * alloc, struct ggml_tensor * node)
}
// if the node's data is external, then we cannot re-use it
if (ggml_allocr_is_own(alloc, parent) == false) {
if (ggml_tallocr_is_own(alloc, parent) == false) {
AT_PRINTF("not reusing parent %s for %s as %p is external\n", parent->name, node->name, parent->data);
continue;
}
struct hash_node * p_hn = hash_get(ht, parent);
struct hash_node * p_hn = hash_get(galloc, parent);
if (parent->data != NULL && p_hn->n_children == 1 && p_hn->n_views == 0 && ggml_are_same_layout(node, parent)) {
if (ggml_is_view(parent)) {
struct ggml_tensor * view_src = parent->view_src;
struct hash_node * view_src_hn = hash_get(ht, view_src);
struct hash_node * view_src_hn = hash_get(galloc, view_src);
if (view_src_hn->n_views == 1 && view_src_hn->n_children == 0 && view_src->data == parent->data) {
// TODO: the offset of the view parent must be kept to ensure that the op doesn't overwrite
// the parent's data that it will need later (same layout requirement). the problem is that then
@ -428,170 +501,267 @@ static void allocate_node(struct ggml_allocr * alloc, struct ggml_tensor * node)
AT_PRINTF("reusing view parent %s (%s) for %s\n", parent->name, view_src->name, node->name);
node->view_src = view_src;
view_src_hn->n_views += 1;
init_view(alloc, node, false);
init_view(galloc, node, false);
return;
}
} else {
AT_PRINTF("reusing parent %s for %s\n", parent->name, node->name);
node->view_src = parent;
p_hn->n_views += 1;
init_view(alloc, node, false);
init_view(galloc, node, false);
return;
}
}
}
}
ggml_allocr_alloc(alloc, node);
ggml_tallocr_alloc(alloc, node);
}
}
}
size_t ggml_allocr_alloc_graph_n(
struct ggml_allocr * alloc,
struct ggml_cgraph ** graphs, int n_graphs,
struct ggml_tensor *** inputs, struct ggml_tensor *** outputs) {
static void free_node(ggml_gallocr_t galloc, struct ggml_tensor * node) {
ggml_tallocr_t alloc = node_tallocr(galloc, node);
// reset hash table
struct hash_node * ht = alloc->hash_table;
memset(ht, 0, sizeof(struct hash_node) * GGML_GRAPH_HASHTABLE_SIZE);
ggml_tallocr_free_tensor(alloc, node);
}
static void ggml_tallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgraph * gf) {
const int * parse_seq = galloc->parse_seq;
int parse_seq_len = galloc->parse_seq_len;
// count number of children and views
for (int g = 0; g < n_graphs; g++) {
struct ggml_cgraph * gf = graphs[g];
for (int i = 0; i < gf->n_nodes; i++) {
for (int i = 0; i < gf->n_nodes; i++) {
struct ggml_tensor * node = gf->nodes[i];
if (ggml_is_view(node)) {
struct ggml_tensor * view_src = node->view_src;
hash_get(galloc, view_src)->n_views += 1;
if (node->buffer == NULL && node->data != NULL) {
// view of a pre-allocated tensor, didn't call init_view() yet
init_view(galloc, node, true);
}
}
for (int j = 0; j < GGML_MAX_SRC; j++) {
struct ggml_tensor * parent = node->src[j];
if (parent == NULL) {
break;
}
hash_get(galloc, parent)->n_children += 1;
if (ggml_is_view(parent) && parent->buffer == NULL && parent->data != NULL) {
init_view(galloc, parent, true);
}
}
}
// allocate tensors
// if we have parse_seq then we allocate nodes following the list, and we only free nodes at barriers
int last_barrier_pos = 0;
int n_nodes = parse_seq_len ? parse_seq_len : gf->n_nodes;
for (int ind = 0; ind < n_nodes; ind++) {
// allocate a node if there is no parse_seq or this is not a barrier
if (parse_seq_len == 0 || parse_seq[ind] != -1) {
int i = parse_seq_len ? parse_seq[ind] : ind;
struct ggml_tensor * node = gf->nodes[i];
if (ggml_is_view(node)) {
struct ggml_tensor * view_src = node->view_src;
hash_get(ht, view_src)->n_views += 1;
if (node->buffer == NULL && node->data != NULL) {
// view of a pre-allocated tensor, didn't call init_view() yet
init_view(alloc, node, true);
}
}
// allocate parents (leafs)
for (int j = 0; j < GGML_MAX_SRC; j++) {
struct ggml_tensor * parent = node->src[j];
if (parent == NULL) {
break;
}
hash_get(ht, parent)->n_children += 1;
if (ggml_is_view(parent) && parent->buffer == NULL && parent->data != NULL) {
init_view(alloc, parent, true);
allocate_node(galloc, parent);
}
// allocate node
allocate_node(galloc, node);
AT_PRINTF("exec: %s (%s) <= ", ggml_op_name(node->op), node->name);
for (int j = 0; j < GGML_MAX_SRC; j++) {
struct ggml_tensor * parent = node->src[j];
if (parent == NULL) {
break;
}
AT_PRINTF("%s", parent->name);
if (j < GGML_MAX_SRC - 1 && node->src[j + 1] != NULL) {
AT_PRINTF(", ");
}
}
AT_PRINTF("\n");
}
}
// allocate tensors
for (int g = 0; g < n_graphs; g++) {
struct ggml_cgraph * gf = graphs[g];
AT_PRINTF("####### graph %d/%d\n", g, n_graphs);
// graph inputs are allocated first to ensure that they are not overwritten by each other
if (inputs != NULL && inputs[g] != NULL) {
for (int i = 0; inputs[g][i] != NULL; i++) {
struct ggml_tensor * input = inputs[g][i];
AT_PRINTF("input: %s\n", input->name);
allocate_node(alloc, input);
}
}
// if we have parse_seq then we allocate nodes following the list, and we only free nodes at barriers
int last_barrier_pos = 0;
int n_nodes = alloc->parse_seq_len ? alloc->parse_seq_len : gf->n_nodes;
// update parents
// update immediately if there is no parse_seq
// update only at barriers if there is parse_seq
if ((parse_seq_len == 0) || parse_seq[ind] == -1) {
int update_start = parse_seq_len ? last_barrier_pos : ind;
int update_end = parse_seq_len ? ind : ind + 1;
for (int i = update_start; i < update_end; i++) {
int node_i = parse_seq_len ? parse_seq[i] : i;
struct ggml_tensor * node = gf->nodes[node_i];
for (int ind = 0; ind < n_nodes; ind++) {
// allocate a node if there is no parse_seq or this is not a barrier
if ((alloc->parse_seq_len==0) || alloc->parse_seq[ind] != -1) {
int i = alloc->parse_seq_len ? alloc->parse_seq[ind] : ind;
struct ggml_tensor * node = gf->nodes[i];
// allocate parents (leafs)
for (int j = 0; j < GGML_MAX_SRC; j++) {
struct ggml_tensor * parent = node->src[j];
if (parent == NULL) {
break;
}
allocate_node(alloc, parent);
}
struct hash_node * p_hn = hash_get(galloc, parent);
p_hn->n_children -= 1;
// allocate node
allocate_node(alloc, node);
//AT_PRINTF("parent %s: %d children, %d views\n", parent->name, parent->n_children, parent->n_views);
AT_PRINTF("exec: %s (%s) <= ", ggml_op_name(node->op), node->name);
for (int j = 0; j < GGML_MAX_SRC; j++) {
struct ggml_tensor * parent = node->src[j];
if (parent == NULL) {
break;
}
AT_PRINTF("%s", parent->name);
if (j < GGML_MAX_SRC - 1 && node->src[j + 1] != NULL) {
AT_PRINTF(", ");
}
}
AT_PRINTF("\n");
}
// update parents
// update immediately if there is no parse_seq
// update only at barriers if there is parse_seq
if ((alloc->parse_seq_len == 0) || alloc->parse_seq[ind] == -1) {
int update_start = alloc->parse_seq_len ? last_barrier_pos : ind;
int update_end = alloc->parse_seq_len ? ind : ind + 1;
for (int i = update_start; i < update_end; i++) {
int node_i = alloc->parse_seq_len ? alloc->parse_seq[i] : i;
struct ggml_tensor * node = gf->nodes[node_i];
for (int j = 0; j < GGML_MAX_SRC; j++) {
struct ggml_tensor * parent = node->src[j];
if (parent == NULL) {
break;
if (p_hn->n_children == 0 && p_hn->n_views == 0) {
if (ggml_is_view(parent)) {
struct ggml_tensor * view_src = parent->view_src;
struct hash_node * view_src_hn = hash_get(galloc, view_src);
view_src_hn->n_views -= 1;
AT_PRINTF("view_src %s: %d children, %d views\n", view_src->name, view_src_hn->n_children, view_src_hn->n_views);
if (view_src_hn->n_views == 0 && view_src_hn->n_children == 0) {
free_node(galloc, view_src);
}
}
struct hash_node * p_hn = hash_get(ht, parent);
p_hn->n_children -= 1;
//AT_PRINTF("parent %s: %d children, %d views\n", parent->name, parent->n_children, parent->n_views);
if (p_hn->n_children == 0 && p_hn->n_views == 0) {
if (ggml_is_view(parent)) {
struct ggml_tensor * view_src = parent->view_src;
struct hash_node * view_src_hn = hash_get(ht, view_src);
view_src_hn->n_views -= 1;
AT_PRINTF("view_src %s: %d children, %d views\n", view_src->name, view_src_hn->n_children, view_src_hn->n_views);
if (view_src_hn->n_views == 0 && view_src_hn->n_children == 0 && view_src->data != node->data) {
ggml_allocr_free_tensor(alloc, view_src);
}
}
else {
if (parent->data != node->data) {
ggml_allocr_free_tensor(alloc, parent);
}
}
else {
free_node(galloc, parent);
}
}
}
AT_PRINTF("\n");
if (alloc->parse_seq_len) {
last_barrier_pos = ind + 1;
}
}
}
// free graph outputs here that wouldn't be freed otherwise because they have no children
if (outputs != NULL && outputs[g] != NULL) {
for (int i = 0; outputs[g][i] != NULL; i++) {
struct ggml_tensor * output = outputs[g][i];
AT_PRINTF("output: %s\n", output->name);
ggml_allocr_free_tensor(alloc, output);
AT_PRINTF("\n");
if (parse_seq_len) {
last_barrier_pos = ind + 1;
}
}
}
return alloc->max_size;
}
size_t ggml_allocr_alloc_graph(struct ggml_allocr * alloc, struct ggml_cgraph * graph) {
return ggml_allocr_alloc_graph_n(alloc, &graph, 1, NULL, NULL);
size_t ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, ggml_tallocr_t talloc, struct ggml_cgraph * graph) {
size_t hash_size = graph->visited_hash_table.size;
// check if the hash table is initialized and large enough
if (galloc->hash_set.size < hash_size) {
if (galloc->hash_set.keys != NULL) {
free(galloc->hash_set.keys);
}
if (galloc->hash_values != NULL) {
free(galloc->hash_values);
}
galloc->hash_set.keys = malloc(sizeof(struct ggml_tensor *) * hash_size);
galloc->hash_set.size = hash_size;
galloc->hash_values = malloc(sizeof(struct hash_node) * hash_size);
}
// reset hash table
memset(galloc->hash_set.keys, 0, sizeof(struct ggml_tensor *) * hash_size);
memset(galloc->hash_values, 0, sizeof(struct hash_node) * hash_size);
galloc->talloc = talloc;
ggml_tallocr_alloc_graph_impl(galloc, graph);
galloc->talloc = NULL;
size_t max_size = ggml_tallocr_max_size(talloc);
return max_size;
}
size_t ggml_allocr_max_size(struct ggml_allocr * alloc) {
return alloc->max_size;
void ggml_gallocr_alloc_graph_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, struct ggml_hash_set hash_set, ggml_tallocr_t * hash_node_talloc) {
const size_t hash_size = hash_set.size;
GGML_ASSERT(hash_size >= (size_t)(graph->n_nodes + graph->n_leafs));
galloc->talloc = NULL;
// alloc hash_values if needed
if (galloc->hash_values == NULL || galloc->hash_values_size < hash_size) {
free(galloc->hash_values);
galloc->hash_values = malloc(sizeof(struct hash_node) * hash_size);
galloc->hash_values_size = hash_size;
}
// free hash_set.keys if needed
if (galloc->hash_set.keys != NULL) {
free(galloc->hash_set.keys);
}
galloc->hash_set = hash_set;
// reset hash values
memset(galloc->hash_values, 0, sizeof(struct hash_node) * hash_size);
galloc->hash_allocs = hash_node_talloc;
ggml_tallocr_alloc_graph_impl(galloc, graph);
// remove unowned resources
galloc->hash_set.keys = NULL;
galloc->hash_allocs = NULL;
}
// legacy API wrapper
struct ggml_allocr {
ggml_tallocr_t talloc;
ggml_gallocr_t galloc;
};
static ggml_allocr_t ggml_allocr_new_impl(ggml_tallocr_t talloc) {
ggml_allocr_t alloc = (ggml_allocr_t)malloc(sizeof(struct ggml_allocr));
*alloc = (struct ggml_allocr) {
/*.talloc = */ talloc,
/*.galloc = */ ggml_gallocr_new(),
};
return alloc;
}
ggml_allocr_t ggml_allocr_new(void * data, size_t size, size_t alignment) {
return ggml_allocr_new_impl(ggml_tallocr_new(data, size, alignment));
}
ggml_allocr_t ggml_allocr_new_measure(size_t alignment) {
return ggml_allocr_new_impl(ggml_tallocr_new_measure(alignment));
}
ggml_allocr_t ggml_allocr_new_from_buffer(struct ggml_backend_buffer * buffer) {
return ggml_allocr_new_impl(ggml_tallocr_new_from_buffer(buffer));
}
ggml_allocr_t ggml_allocr_new_from_backend(struct ggml_backend * backend, size_t size) {
return ggml_allocr_new_impl(ggml_tallocr_new_from_backend(backend, size));
}
ggml_allocr_t ggml_allocr_new_measure_from_backend(struct ggml_backend * backend) {
return ggml_allocr_new_impl(ggml_tallocr_new_measure_from_backend(backend));
}
struct ggml_backend_buffer * ggml_allocr_get_buffer(ggml_allocr_t alloc) {
return ggml_tallocr_get_buffer(alloc->talloc);
}
void ggml_allocr_set_parse_seq(ggml_allocr_t alloc, const int * list, int n) {
ggml_gallocr_set_parse_seq(alloc->galloc, list, n);
}
void ggml_allocr_free(ggml_allocr_t alloc) {
ggml_gallocr_free(alloc->galloc);
ggml_tallocr_free(alloc->talloc);
free(alloc);
}
bool ggml_allocr_is_measure(ggml_allocr_t alloc) {
return ggml_tallocr_is_measure(alloc->talloc);
}
void ggml_allocr_reset(ggml_allocr_t alloc) {
ggml_tallocr_reset(alloc->talloc);
}
void ggml_allocr_alloc(ggml_allocr_t alloc, struct ggml_tensor * tensor) {
ggml_tallocr_alloc(alloc->talloc, tensor);
}
size_t ggml_allocr_max_size(ggml_allocr_t alloc) {
return ggml_tallocr_max_size(alloc->talloc);
}
size_t ggml_allocr_alloc_graph(ggml_allocr_t alloc, struct ggml_cgraph * graph) {
return ggml_gallocr_alloc_graph(alloc->galloc, alloc->talloc, graph);
}