Spaces:
Sleeping
Sleeping
//#define GGML_ALLOCATOR_DEBUG | |
//#define AT_PRINTF(...) fprintf(stderr, __VA_ARGS__) | |
static bool ggml_is_view(const struct ggml_tensor * t) { | |
return t->view_src != NULL; | |
} | |
static bool ggml_are_same_layout(const struct ggml_tensor * a, const struct ggml_tensor * b) { | |
if (a->type != b->type) { | |
return false; | |
} | |
for (int i = 0; i < GGML_MAX_DIMS; i++) { | |
if (a->ne[i] != b->ne[i]) { | |
return false; | |
} | |
if (a->nb[i] != b->nb[i]) { | |
return false; | |
} | |
} | |
return true; | |
} | |
static bool ggml_op_can_inplace(enum ggml_op op) { | |
switch (op) { | |
case GGML_OP_SCALE: | |
case GGML_OP_DIAG_MASK_ZERO: | |
case GGML_OP_DIAG_MASK_INF: | |
case GGML_OP_ADD: | |
case GGML_OP_ADD1: | |
case GGML_OP_SUB: | |
case GGML_OP_MUL: | |
case GGML_OP_DIV: | |
case GGML_OP_SQR: | |
case GGML_OP_SQRT: | |
case GGML_OP_LOG: | |
case GGML_OP_UNARY: | |
case GGML_OP_ROPE: | |
case GGML_OP_RMS_NORM: | |
case GGML_OP_SOFT_MAX: | |
return true; | |
default: | |
return false; | |
} | |
} | |
static size_t aligned_offset(const void * buffer, size_t offset, size_t alignment) { | |
assert(alignment && !(alignment & (alignment - 1))); // power of 2 | |
size_t align = (alignment - (((uintptr_t)buffer + offset) % alignment)) % alignment; | |
return offset + align; | |
} | |
// tallocr | |
struct ggml_tallocr ggml_tallocr_new(ggml_backend_buffer_t buffer) { | |
void * base = ggml_backend_buffer_get_base(buffer); | |
size_t align = ggml_backend_buffer_get_alignment(buffer); | |
assert(align && !(align & (align - 1))); // power of 2 | |
struct ggml_tallocr talloc = (struct ggml_tallocr) { | |
/*.buffer = */ buffer, | |
/*.base = */ base, | |
/*.alignment = */ align, | |
/*.offset = */ aligned_offset(base, 0, align), | |
}; | |
return talloc; | |
} | |
void ggml_tallocr_alloc(struct ggml_tallocr * talloc, struct ggml_tensor * tensor) { | |
size_t size = ggml_backend_buffer_get_alloc_size(talloc->buffer, tensor); | |
size = GGML_PAD(size, talloc->alignment); | |
if (talloc->offset + size > ggml_backend_buffer_get_size(talloc->buffer)) { | |
fprintf(stderr, "%s: not enough space in the buffer to allocate %s (needed %zu, available %zu)\n", | |
__func__, tensor->name, size, ggml_backend_buffer_get_size(talloc->buffer) - talloc->offset); | |
GGML_ABORT("not enough space in the buffer"); | |
} | |
void * addr = (char *)ggml_backend_buffer_get_base(talloc->buffer) + talloc->offset; | |
talloc->offset += size; | |
assert(((uintptr_t)addr % talloc->alignment) == 0); | |
ggml_backend_tensor_alloc(talloc->buffer, tensor, addr); | |
} | |
// dynamic tensor allocator | |
struct free_block { | |
size_t offset; | |
size_t size; | |
}; | |
struct ggml_dyn_tallocr { | |
size_t alignment; | |
int n_free_blocks; | |
struct free_block free_blocks[MAX_FREE_BLOCKS]; | |
size_t max_size; | |
struct { | |
const struct ggml_tensor * tensor; | |
size_t offset; | |
} allocated_tensors[1024]; | |
}; | |
static void add_allocated_tensor(struct ggml_dyn_tallocr * alloc, size_t offset, const struct ggml_tensor * tensor) { | |
for (int i = 0; i < 1024; i++) { | |
if (alloc->allocated_tensors[i].tensor == NULL) { | |
alloc->allocated_tensors[i].tensor = tensor; | |
alloc->allocated_tensors[i].offset = offset; | |
return; | |
} | |
} | |
GGML_ABORT("out of allocated_tensors"); | |
} | |
static void remove_allocated_tensor(struct ggml_dyn_tallocr * alloc, size_t offset, const struct ggml_tensor * tensor) { | |
for (int i = 0; i < 1024; i++) { | |
if (alloc->allocated_tensors[i].offset == offset) { | |
alloc->allocated_tensors[i].tensor = NULL; | |
return; | |
} | |
} | |
GGML_ABORT("tried to free tensor %s not found\n", tensor->name); | |
} | |
static size_t ggml_dyn_tallocr_alloc(struct ggml_dyn_tallocr * alloc, size_t size, const struct ggml_tensor * tensor) { | |
size = aligned_offset(NULL, size, alloc->alignment); | |
AT_PRINTF("%s: allocating %s (%zu bytes) - ", __func__, tensor->name, size); | |
size_t max_avail = 0; | |
// find the best fitting free block besides the last block | |
int best_fit_block = -1; | |
size_t best_fit_size = SIZE_MAX; | |
for (int i = 0; i < alloc->n_free_blocks - 1; i++) { | |
struct free_block * block = &alloc->free_blocks[i]; | |
max_avail = MAX(max_avail, block->size); | |
if (block->size >= size && block->size <= best_fit_size) { | |
best_fit_block = i; | |
best_fit_size = block->size; | |
} | |
} | |
if (best_fit_block == -1) { | |
// the last block is our last resort | |
struct free_block * block = &alloc->free_blocks[alloc->n_free_blocks - 1]; | |
max_avail = MAX(max_avail, block->size); | |
if (block->size >= size) { | |
best_fit_block = alloc->n_free_blocks - 1; | |
} else { | |
// this should never happen | |
fprintf(stderr, "%s: not enough space in the buffer to allocate %zu bytes, largest block available %zu bytes\n", | |
__func__, size, max_avail); | |
GGML_ABORT("not enough space in the buffer"); | |
} | |
} | |
struct free_block * block = &alloc->free_blocks[best_fit_block]; | |
size_t offset = block->offset; | |
block->offset = offset + size; | |
block->size -= size; | |
if (block->size == 0) { | |
// remove block if empty | |
alloc->n_free_blocks--; | |
for (int j = best_fit_block; j < alloc->n_free_blocks; j++) { | |
alloc->free_blocks[j] = alloc->free_blocks[j+1]; | |
} | |
} | |
AT_PRINTF("block %d, offset %zu\n", best_fit_block, offset); | |
add_allocated_tensor(alloc, offset, tensor); | |
size_t cur_max = offset + size; | |
if (cur_max > alloc->max_size) { | |
// sort allocated_tensors by offset | |
for (int i = 0; i < 1024; i++) { | |
for (int j = i + 1; j < 1024; j++) { | |
if (alloc->allocated_tensors[i].offset > alloc->allocated_tensors[j].offset) { | |
const struct ggml_tensor * tmp_tensor = alloc->allocated_tensors[i].tensor; | |
size_t tmp_offset = alloc->allocated_tensors[i].offset; | |
alloc->allocated_tensors[i].tensor = alloc->allocated_tensors[j].tensor; | |
alloc->allocated_tensors[i].offset = alloc->allocated_tensors[j].offset; | |
alloc->allocated_tensors[j].tensor = tmp_tensor; | |
alloc->allocated_tensors[j].offset = tmp_offset; | |
} | |
} | |
} | |
fprintf(stderr, "max_size = %.2f MB: tensors: ", cur_max / 1024.0 / 1024.0); | |
for (int i = 0; i < 1024; i++) { | |
if (alloc->allocated_tensors[i].tensor) { | |
fprintf(stderr, "%s [%zx-%zx] (%.2f MB) ", alloc->allocated_tensors[i].tensor->name, | |
alloc->allocated_tensors[i].offset, | |
alloc->allocated_tensors[i].offset + ggml_nbytes(alloc->allocated_tensors[i].tensor), | |
ggml_nbytes(alloc->allocated_tensors[i].tensor) / 1024.0 / 1024.0); | |
} | |
} | |
fprintf(stderr, "\n"); | |
} | |
alloc->max_size = MAX(alloc->max_size, offset + size); | |
return offset; | |
GGML_UNUSED(tensor); | |
} | |
// this is a very naive implementation, but for our case the number of free blocks should be very small | |
static void ggml_dyn_tallocr_free_tensor(struct ggml_dyn_tallocr * alloc, size_t offset, size_t size, const struct ggml_tensor * tensor) { | |
size = aligned_offset(NULL, size, alloc->alignment); | |
AT_PRINTF("%s: freeing %s at %zu (%zu bytes) - n_free_blocks = %d\n", __func__, tensor->name, offset, size, alloc->n_free_blocks); | |
remove_allocated_tensor(alloc, offset, tensor); | |
// see if we can merge with an existing block | |
for (int i = 0; i < alloc->n_free_blocks; i++) { | |
struct free_block * block = &alloc->free_blocks[i]; | |
// check if ptr is at the end of the block | |
if (block->offset + block->size == offset) { | |
block->size += size; | |
// check if we can merge with the next block | |
if (i < alloc->n_free_blocks - 1 && block->offset + block->size == alloc->free_blocks[i+1].offset) { | |
block->size += alloc->free_blocks[i+1].size; | |
alloc->n_free_blocks--; | |
for (int j = i+1; j < alloc->n_free_blocks; j++) { | |
alloc->free_blocks[j] = alloc->free_blocks[j+1]; | |
} | |
} | |
return; | |
} | |
// check if ptr is at the beginning of the block | |
if (offset + size == block->offset) { | |
block->offset = offset; | |
block->size += size; | |
// check if we can merge with the previous block | |
if (i > 0 && alloc->free_blocks[i-1].offset + alloc->free_blocks[i-1].size == block->offset) { | |
alloc->free_blocks[i-1].size += block->size; | |
alloc->n_free_blocks--; | |
for (int j = i; j < alloc->n_free_blocks; j++) { | |
alloc->free_blocks[j] = alloc->free_blocks[j+1]; | |
} | |
} | |
return; | |
} | |
} | |
// otherwise, add a new block | |
GGML_ASSERT(alloc->n_free_blocks < MAX_FREE_BLOCKS && "out of free blocks"); | |
// insert the new block in the correct position to keep the array sorted by address (to make merging blocks faster) | |
int insert_pos = 0; | |
while (insert_pos < alloc->n_free_blocks && alloc->free_blocks[insert_pos].offset < offset) { | |
insert_pos++; | |
} | |
// shift all blocks from insert_pos onward to make room for the new block | |
for (int i = alloc->n_free_blocks; i > insert_pos; i--) { | |
alloc->free_blocks[i] = alloc->free_blocks[i-1]; | |
} | |
// insert the new block | |
alloc->free_blocks[insert_pos].offset = offset; | |
alloc->free_blocks[insert_pos].size = size; | |
alloc->n_free_blocks++; | |
GGML_UNUSED(tensor); | |
} | |
static void ggml_dyn_tallocr_reset(struct ggml_dyn_tallocr * alloc) { | |
alloc->n_free_blocks = 1; | |
alloc->free_blocks[0].offset = 0; | |
alloc->free_blocks[0].size = SIZE_MAX/2; // restrict maximum size of a measure allocator to half size_t max to avoid overflows | |
alloc->max_size = 0; | |
} | |
static struct ggml_dyn_tallocr * ggml_dyn_tallocr_new(size_t alignment) { | |
struct ggml_dyn_tallocr * alloc = (struct ggml_dyn_tallocr *)malloc(sizeof(struct ggml_dyn_tallocr)); | |
*alloc = (struct ggml_dyn_tallocr) { | |
/*.alignment = */ alignment, | |
/*.n_free_blocks = */ 0, | |
/*.free_blocks = */ {{0}}, | |
/*.max_size = */ 0, | |
/*.allocated_tensors = */ {{0}}, | |
}; | |
ggml_dyn_tallocr_reset(alloc); | |
return alloc; | |
} | |
static void ggml_dyn_tallocr_free(struct ggml_dyn_tallocr * alloc) { | |
free(alloc); | |
} | |
static size_t ggml_dyn_tallocr_max_size(struct ggml_dyn_tallocr * alloc) { | |
return alloc->max_size; | |
} | |
///////////////////////////////////// | |
// graph allocator | |
struct hash_node { | |
int n_children; | |
int n_views; | |
int buffer_id; | |
size_t offset; // offset within the buffer | |
bool allocated; | |
}; | |
struct tensor_alloc { | |
int buffer_id; | |
size_t offset; | |
size_t size_max; // 0 = pre-allocated, unused, or view | |
}; | |
struct leaf_alloc { | |
int buffer_id; | |
struct tensor_alloc leaf; | |
}; | |
struct node_alloc { | |
struct tensor_alloc dst; | |
struct tensor_alloc src[GGML_MAX_SRC]; | |
}; | |
struct ggml_gallocr { | |
ggml_backend_buffer_type_t * bufts; // [n_buffers] | |
ggml_backend_buffer_t * buffers; // [n_buffers] | |
struct ggml_dyn_tallocr ** buf_tallocs; // [n_buffers] | |
int n_buffers; | |
struct ggml_hash_set hash_set; | |
struct hash_node * hash_values; // [hash_set.size] | |
struct node_alloc * node_allocs; // [n_nodes] | |
int n_nodes; | |
struct leaf_alloc * leaf_allocs; // [n_leafs] | |
int n_leafs; | |
}; | |
ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs) { | |
ggml_gallocr_t galloc = (ggml_gallocr_t)calloc(1, sizeof(struct ggml_gallocr)); | |
GGML_ASSERT(galloc != NULL); | |
galloc->bufts = calloc(n_bufs, sizeof(ggml_backend_buffer_type_t)); | |
GGML_ASSERT(galloc->bufts != NULL); | |
galloc->buffers = calloc(n_bufs, sizeof(ggml_backend_buffer_t)); | |
GGML_ASSERT(galloc->buffers != NULL); | |
galloc->buf_tallocs = calloc(n_bufs, sizeof(struct ggml_dyn_tallocr *)); | |
GGML_ASSERT(galloc->buf_tallocs != NULL); | |
for (int i = 0; i < n_bufs; i++) { | |
galloc->bufts[i] = bufts[i]; | |
galloc->buffers[i] = NULL; | |
// check if the same buffer type is used multiple times and reuse the same allocator | |
for (int j = 0; j < i; j++) { | |
if (bufts[i] == bufts[j]) { | |
galloc->buf_tallocs[i] = galloc->buf_tallocs[j]; | |
break; | |
} | |
} | |
if (galloc->buf_tallocs[i] == NULL) { | |
size_t alignment = ggml_backend_buft_get_alignment(bufts[i]); | |
galloc->buf_tallocs[i] = ggml_dyn_tallocr_new(alignment); | |
} | |
} | |
galloc->n_buffers = n_bufs; | |
return galloc; | |
} | |
ggml_gallocr_t ggml_gallocr_new(ggml_backend_buffer_type_t buft) { | |
return ggml_gallocr_new_n(&buft, 1); | |
} | |
void ggml_gallocr_free(ggml_gallocr_t galloc) { | |
if (galloc == NULL) { | |
return; | |
} | |
for (int i = 0; i < galloc->n_buffers; i++) { | |
if (galloc->buffers != NULL) { | |
// skip if already freed | |
bool freed = false; | |
for (int j = 0; j < i; j++) { | |
if (galloc->buffers[j] == galloc->buffers[i]) { | |
freed = true; | |
break; | |
} | |
} | |
if (!freed) { | |
ggml_backend_buffer_free(galloc->buffers[i]); | |
} | |
} | |
if (galloc->buf_tallocs != NULL) { | |
// skip if already freed | |
bool freed = false; | |
for (int j = 0; j < i; j++) { | |
if (galloc->buf_tallocs[j] == galloc->buf_tallocs[i]) { | |
freed = true; | |
break; | |
} | |
} | |
if (!freed) { | |
ggml_dyn_tallocr_free(galloc->buf_tallocs[i]); | |
} | |
} | |
} | |
ggml_hash_set_free(&galloc->hash_set); | |
free(galloc->hash_values); | |
free(galloc->bufts); | |
free(galloc->buffers); | |
free(galloc->buf_tallocs); | |
free(galloc->node_allocs); | |
free(galloc->leaf_allocs); | |
free(galloc); | |
} | |
typedef struct ggml_gallocr * ggml_gallocr_t; | |
static struct hash_node * ggml_gallocr_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_gallocr_is_own(ggml_gallocr_t galloc, struct ggml_tensor * t) { | |
return ggml_gallocr_hash_get(galloc, t)->allocated; | |
} | |
static void ggml_gallocr_set_node_offset(ggml_gallocr_t galloc, struct ggml_tensor * node, int buffer_id, size_t offset) { | |
struct hash_node * hn = ggml_gallocr_hash_get(galloc, node); | |
hn->buffer_id = buffer_id; | |
hn->offset = offset; | |
hn->allocated = true; | |
} | |
static bool ggml_gallocr_is_allocated(ggml_gallocr_t galloc, struct ggml_tensor * t) { | |
return t->data != NULL || ggml_gallocr_hash_get(galloc, t)->allocated; | |
} | |
static void ggml_gallocr_allocate_node(ggml_gallocr_t galloc, struct ggml_tensor * node, int buffer_id) { | |
struct hash_node * hn = ggml_gallocr_hash_get(galloc, node); | |
if (!ggml_gallocr_is_allocated(galloc, node) && !ggml_is_view(node)) { | |
hn->allocated = true; | |
assert(hn->offset == 0); | |
// try to reuse a parent's buffer (inplace) | |
if (ggml_op_can_inplace(node->op)) { | |
for (int i = 0; i < GGML_MAX_SRC; i++) { | |
struct ggml_tensor * parent = node->src[i]; | |
if (parent == NULL) { | |
continue; | |
} | |
// if the node's data is external, then we cannot re-use it | |
if (!ggml_gallocr_is_own(galloc, parent)) { | |
AT_PRINTF("not reusing parent %s for %s as %p is external\n", parent->name, node->name, parent->data); | |
continue; | |
} | |
// outputs cannot be reused | |
if (parent->flags & GGML_TENSOR_FLAG_OUTPUT || (parent->view_src != NULL && parent->view_src->flags & GGML_TENSOR_FLAG_OUTPUT)) { | |
AT_PRINTF("not reusing parent %s for %s as it is an output\n", parent->name, node->name); | |
continue; | |
} | |
if (!ggml_are_same_layout(node, parent)) { | |
AT_PRINTF("not reusing parent %s for %s as layouts are different\n", parent->name, node->name); | |
continue; | |
} | |
struct hash_node * p_hn = ggml_gallocr_hash_get(galloc, parent); | |
if (p_hn->n_children == 1 && p_hn->n_views == 0) { | |
if (ggml_is_view(parent)) { | |
struct ggml_tensor * view_src = parent->view_src; | |
struct hash_node * view_src_hn = ggml_gallocr_hash_get(galloc, view_src); | |
if (view_src_hn->n_views == 1 && view_src_hn->n_children == 0 && view_src->data == parent->data) { | |
AT_PRINTF("reusing view parent %s (%s) for %s\n", parent->name, view_src->name, node->name); | |
assert(view_src_hn->offset == p_hn->offset); | |
hn->buffer_id = p_hn->buffer_id; | |
hn->offset = p_hn->offset; | |
p_hn->allocated = false; // avoid freeing the parent | |
view_src_hn->allocated = false; | |
return; | |
} | |
} else { | |
AT_PRINTF("reusing parent %s for %s\n", parent->name, node->name); | |
hn->buffer_id = p_hn->buffer_id; | |
hn->offset = p_hn->offset; | |
p_hn->allocated = false; // avoid freeing the parent | |
return; | |
} | |
} | |
} | |
} | |
// allocate tensor from the buffer | |
struct ggml_dyn_tallocr * alloc = galloc->buf_tallocs[buffer_id]; | |
ggml_backend_buffer_type_t buft = galloc->bufts[buffer_id]; | |
size_t size = ggml_backend_buft_get_alloc_size(buft, node); | |
size_t offset = ggml_dyn_tallocr_alloc(alloc, size, node); | |
hn->buffer_id = buffer_id; | |
hn->offset = offset; | |
return; | |
} | |
} | |
static void ggml_gallocr_free_node(ggml_gallocr_t galloc, struct ggml_tensor * node) { | |
// graph outputs are never freed | |
if (node->flags & GGML_TENSOR_FLAG_OUTPUT) { | |
AT_PRINTF("not freeing output %s\n", node->name); | |
return; | |
} | |
struct hash_node * hn = ggml_gallocr_hash_get(galloc, node); | |
size_t offset = hn->offset; | |
int buffer_id = hn->buffer_id; | |
struct ggml_dyn_tallocr * alloc = galloc->buf_tallocs[buffer_id]; | |
ggml_backend_buffer_type_t buft = galloc->bufts[buffer_id]; | |
size_t size = ggml_backend_buft_get_alloc_size(buft, node); | |
ggml_dyn_tallocr_free_tensor(alloc, offset, size, node); | |
hn->allocated = false; | |
} | |
static int get_node_buffer_id(const int * node_buffer_ids, int i) { | |
return node_buffer_ids ? node_buffer_ids[i] : 0; | |
} | |
static void ggml_gallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids, const int * leaf_buffer_ids) { | |
// clear hash tables | |
ggml_hash_set_reset(&galloc->hash_set); | |
memset(galloc->hash_values, 0, sizeof(struct hash_node) * galloc->hash_set.size); | |
// allocate leafs | |
// these may be tensors that the application is not using in the graph, but may still want to allocate for other purposes | |
for (int i = 0; i < graph->n_leafs; i++) { | |
struct ggml_tensor * leaf = graph->leafs[i]; | |
ggml_gallocr_allocate_node(galloc, leaf, get_node_buffer_id(leaf_buffer_ids, i)); | |
} | |
// count number of children and views | |
// allocate other graph inputs and leafs first to avoid overwriting them | |
for (int i = 0; i < graph->n_nodes; i++) { | |
struct ggml_tensor * node = graph->nodes[i]; | |
// TODO: better way to add external dependencies | |
// GGML_OP_NONE does not appear normally in the graph nodes, but is used by ggml-backend to add dependencies to | |
// control when some tensors are allocated and freed. in this case, the dependencies are in `src`, but the node | |
// itself is never used and should not be considered a dependency | |
if (ggml_is_view(node) && node->op != GGML_OP_NONE) { | |
struct ggml_tensor * view_src = node->view_src; | |
ggml_gallocr_hash_get(galloc, view_src)->n_views += 1; | |
} | |
if (node->flags & GGML_TENSOR_FLAG_INPUT) { | |
ggml_gallocr_allocate_node(galloc, graph->nodes[i], get_node_buffer_id(node_buffer_ids, i)); | |
} | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * src = node->src[j]; | |
if (src == NULL) { | |
continue; | |
} | |
ggml_gallocr_hash_get(galloc, src)->n_children += 1; | |
// allocate explicit inputs | |
if (src->flags & GGML_TENSOR_FLAG_INPUT) { | |
ggml_gallocr_allocate_node(galloc, src, get_node_buffer_id(node_buffer_ids, i)); | |
} | |
} | |
} | |
// allocate tensors | |
for (int i = 0; i < graph->n_nodes; i++) { | |
struct ggml_tensor * node = graph->nodes[i]; | |
int buffer_id = get_node_buffer_id(node_buffer_ids, i); | |
// allocate parents (only leafs need to be allocated at this point) | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * parent = node->src[j]; | |
if (parent == NULL) { | |
continue; | |
} | |
ggml_gallocr_allocate_node(galloc, parent, buffer_id); | |
} | |
// allocate node | |
ggml_gallocr_allocate_node(galloc, node, buffer_id); | |
AT_PRINTF("exec: %s (%s) <= ", ggml_op_desc(node), node->name); | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * parent = node->src[j]; | |
if (parent == NULL) { | |
continue; | |
} | |
AT_PRINTF("%s", parent->name); | |
if (j < GGML_MAX_SRC - 1 && node->src[j + 1] != NULL) { | |
AT_PRINTF(", "); | |
} | |
} | |
AT_PRINTF("\n"); | |
// update parents | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * parent = node->src[j]; | |
if (parent == NULL) { | |
continue; | |
} | |
struct hash_node * p_hn = ggml_gallocr_hash_get(galloc, parent); | |
p_hn->n_children -= 1; | |
AT_PRINTF("parent %s: %d children, %d views, allocated: %d\n", | |
parent->name, p_hn->n_children, p_hn->n_views, p_hn->allocated); | |
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 = ggml_gallocr_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 && view_src_hn->allocated) { | |
ggml_gallocr_free_node(galloc, view_src); | |
} | |
} | |
else if (p_hn->allocated) { | |
ggml_gallocr_free_node(galloc, parent); | |
} | |
} | |
AT_PRINTF("\n"); | |
} | |
} | |
} | |
bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, const int * node_buffer_ids, const int * leaf_buffer_ids) { | |
size_t min_hash_size = graph->n_nodes + graph->n_leafs; | |
// add 25% margin to avoid hash collisions | |
min_hash_size += min_hash_size / 4; | |
// initialize hash table | |
if (galloc->hash_set.size < min_hash_size) { | |
ggml_hash_set_free(&galloc->hash_set); | |
galloc->hash_set = ggml_hash_set_new(min_hash_size); | |
GGML_ASSERT(galloc->hash_set.keys != NULL); | |
free(galloc->hash_values); | |
galloc->hash_values = malloc(sizeof(struct hash_node) * galloc->hash_set.size); | |
GGML_ASSERT(galloc->hash_values != NULL); | |
} | |
// reset allocators | |
for (int i = 0; i < galloc->n_buffers; i++) { | |
ggml_dyn_tallocr_reset(galloc->buf_tallocs[i]); | |
} | |
// allocate in hash table | |
ggml_gallocr_alloc_graph_impl(galloc, graph, node_buffer_ids, leaf_buffer_ids); | |
// set the node_allocs from the hash table | |
if (galloc->n_nodes < graph->n_nodes) { | |
free(galloc->node_allocs); | |
galloc->node_allocs = calloc(graph->n_nodes, sizeof(struct node_alloc)); | |
GGML_ASSERT(galloc->node_allocs != NULL); | |
} | |
galloc->n_nodes = graph->n_nodes; | |
for (int i = 0; i < graph->n_nodes; i++) { | |
struct ggml_tensor * node = graph->nodes[i]; | |
struct node_alloc * node_alloc = &galloc->node_allocs[i]; | |
if (node->view_src || node->data) { | |
node_alloc->dst.buffer_id = -1; | |
node_alloc->dst.offset = SIZE_MAX; | |
node_alloc->dst.size_max = 0; | |
} else { | |
struct hash_node * hn = ggml_gallocr_hash_get(galloc, node); | |
node_alloc->dst.buffer_id = hn->buffer_id; | |
node_alloc->dst.offset = hn->offset; | |
node_alloc->dst.size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], node); | |
} | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * src = node->src[j]; | |
if (!src || src->view_src || src->data) { | |
node_alloc->src[j].buffer_id = -1; | |
node_alloc->src[j].offset = SIZE_MAX; | |
node_alloc->src[j].size_max = 0; | |
} else { | |
struct hash_node * hn = ggml_gallocr_hash_get(galloc, src); | |
node_alloc->src[j].buffer_id = hn->buffer_id; | |
node_alloc->src[j].offset = hn->offset; | |
node_alloc->src[j].size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], src); | |
} | |
} | |
} | |
if (galloc->n_leafs < graph->n_leafs) { | |
free(galloc->leaf_allocs); | |
galloc->leaf_allocs = calloc(graph->n_leafs, sizeof(galloc->leaf_allocs[0])); | |
GGML_ASSERT(galloc->leaf_allocs != NULL); | |
} | |
galloc->n_leafs = graph->n_leafs; | |
for (int i = 0; i < graph->n_leafs; i++) { | |
struct ggml_tensor * leaf = graph->leafs[i]; | |
struct hash_node * hn = ggml_gallocr_hash_get(galloc, leaf); | |
galloc->leaf_allocs[i].buffer_id = hn->buffer_id; | |
if (leaf->view_src || leaf->data) { | |
galloc->leaf_allocs[i].leaf.buffer_id = -1; | |
galloc->leaf_allocs[i].leaf.offset = SIZE_MAX; | |
galloc->leaf_allocs[i].leaf.size_max = 0; | |
} else { | |
galloc->leaf_allocs[i].leaf.buffer_id = hn->buffer_id; | |
galloc->leaf_allocs[i].leaf.offset = hn->offset; | |
galloc->leaf_allocs[i].leaf.size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], leaf); | |
} | |
} | |
// reallocate buffers if needed | |
for (int i = 0; i < galloc->n_buffers; i++) { | |
// if the buffer type is used multiple times, we reuse the same buffer | |
for (int j = 0; j < i; j++) { | |
if (galloc->buf_tallocs[j] == galloc->buf_tallocs[i]) { | |
galloc->buffers[i] = galloc->buffers[j]; | |
break; | |
} | |
} | |
size_t cur_size = galloc->buffers[i] ? ggml_backend_buffer_get_size(galloc->buffers[i]) : 0; | |
size_t new_size = ggml_dyn_tallocr_max_size(galloc->buf_tallocs[i]); | |
// even if there are no tensors allocated in this buffer, we still need to allocate it to initialize views | |
if (new_size > cur_size || galloc->buffers[i] == NULL) { | |
fprintf(stderr, "%s: reallocating %s buffer from size %.02f MiB to %.02f MiB\n", __func__, ggml_backend_buft_name(galloc->bufts[i]), cur_size / 1024.0 / 1024.0, new_size / 1024.0 / 1024.0); | |
ggml_backend_buffer_free(galloc->buffers[i]); | |
galloc->buffers[i] = ggml_backend_buft_alloc_buffer(galloc->bufts[i], new_size); | |
if (galloc->buffers[i] == NULL) { | |
fprintf(stderr, "%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(galloc->bufts[i]), new_size); | |
return false; | |
} | |
ggml_backend_buffer_set_usage(galloc->buffers[i], GGML_BACKEND_BUFFER_USAGE_COMPUTE); | |
} | |
} | |
return true; | |
} | |
bool ggml_gallocr_reserve(ggml_gallocr_t galloc, struct ggml_cgraph *graph) { | |
return ggml_gallocr_reserve_n(galloc, graph, NULL, NULL); | |
} | |
static void ggml_gallocr_init_tensor(ggml_gallocr_t galloc, struct ggml_tensor * tensor, struct tensor_alloc * tensor_alloc) { | |
int buffer_id = tensor_alloc->buffer_id; | |
assert(tensor->data || tensor->view_src || ggml_backend_buffer_get_alloc_size(galloc->buffers[buffer_id], tensor) <= tensor_alloc->size_max); | |
if (tensor->view_src != NULL) { | |
if (tensor->buffer == NULL) { | |
assert(tensor_alloc->offset == SIZE_MAX); | |
if (tensor->view_src->buffer == NULL) { | |
// this tensor was allocated without ggml-backend | |
return; | |
} | |
ggml_backend_view_init(tensor); | |
} | |
} else { | |
if (tensor->data == NULL) { | |
assert(tensor_alloc->offset != SIZE_MAX); | |
assert(ggml_backend_buffer_get_alloc_size(galloc->buffers[buffer_id], tensor) <= tensor_alloc->size_max); | |
void * base = ggml_backend_buffer_get_base(galloc->buffers[buffer_id]); | |
void * addr = (char *)base + tensor_alloc->offset; | |
ggml_backend_tensor_alloc(galloc->buffers[buffer_id], tensor, addr); | |
} else { | |
if (tensor->buffer == NULL) { | |
// this tensor was allocated without ggml-backend | |
return; | |
} | |
} | |
} | |
} | |
static bool ggml_gallocr_node_needs_realloc(ggml_gallocr_t galloc, struct ggml_tensor * node, struct tensor_alloc * talloc) { | |
size_t node_size = (node->data || node->view_src) ? 0 : ggml_backend_buft_get_alloc_size(galloc->bufts[talloc->buffer_id], node); | |
return talloc->size_max >= node_size; | |
} | |
static bool ggml_gallocr_needs_realloc(ggml_gallocr_t galloc, struct ggml_cgraph * graph) { | |
if (galloc->n_nodes != graph->n_nodes) { | |
fprintf(stderr, "%s: graph has different number of nodes\n", __func__); | |
return true; | |
} | |
if (galloc->n_leafs != graph->n_leafs) { | |
fprintf(stderr, "%s: graph has different number of leafs\n", __func__); | |
return true; | |
} | |
for (int i = 0; i < graph->n_nodes; i++) { | |
struct ggml_tensor * node = graph->nodes[i]; | |
struct node_alloc * node_alloc = &galloc->node_allocs[i]; | |
if (!ggml_gallocr_node_needs_realloc(galloc, node, &node_alloc->dst)) { | |
fprintf(stderr, "%s: node %s is not valid\n", __func__, node->name); | |
return true; | |
} | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * src = node->src[j]; | |
if (src == NULL) { | |
continue; | |
} | |
if (!ggml_gallocr_node_needs_realloc(galloc, src, &node_alloc->src[j])) { | |
fprintf(stderr, "%s: src %d (%s) of node %s is not valid\n", __func__, j, src->name, node->name); | |
return true; | |
} | |
} | |
} | |
return false; | |
} | |
bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph) { | |
if (ggml_gallocr_needs_realloc(galloc, graph)) { | |
if (galloc->n_buffers == 1) { | |
fprintf(stderr, "%s: reallocating buffers automatically\n", __func__); | |
if (!ggml_gallocr_reserve(galloc, graph)) { | |
return false; | |
} | |
} else { | |
fprintf(stderr, "%s: cannot reallocate multi buffer graph automatically, call reserve\n", __func__); | |
return false; | |
} | |
} | |
// reset buffers | |
for (int i = 0; i < galloc->n_buffers; i++) { | |
if (galloc->buffers[i] != NULL) { | |
ggml_backend_buffer_reset(galloc->buffers[i]); | |
} | |
} | |
// allocate the graph tensors from the previous assignments | |
// leafs | |
for (int i = 0; i < graph->n_leafs; i++) { | |
struct ggml_tensor * leaf = graph->leafs[i]; | |
struct leaf_alloc * leaf_alloc = &galloc->leaf_allocs[i]; | |
ggml_gallocr_init_tensor(galloc, leaf, &leaf_alloc->leaf); | |
} | |
// nodes | |
for (int i = 0; i < graph->n_nodes; i++) { | |
struct ggml_tensor * node = graph->nodes[i]; | |
struct node_alloc * node_alloc = &galloc->node_allocs[i]; | |
for (int j = 0; j < GGML_MAX_SRC; j++) { | |
struct ggml_tensor * src = node->src[j]; | |
if (src == NULL) { | |
continue; | |
} | |
ggml_gallocr_init_tensor(galloc, src, &node_alloc->src[j]); | |
} | |
ggml_gallocr_init_tensor(galloc, node, &node_alloc->dst); | |
} | |
return true; | |
} | |
size_t ggml_gallocr_get_buffer_size(ggml_gallocr_t galloc, int buffer_id) { | |
GGML_ASSERT(buffer_id >= 0 && buffer_id < galloc->n_buffers); | |
if (galloc->buffers[buffer_id] == NULL) { | |
return 0; | |
} | |
for (int i = 0; i < buffer_id; i++) { | |
if (galloc->buffers[i] == galloc->buffers[buffer_id]) { | |
// this buffer is the same as a previous one due to the same buffer type being used multiple times | |
// only return the buffer size the first time it appears to avoid double counting | |
return 0; | |
} | |
} | |
return ggml_backend_buffer_get_size(galloc->buffers[buffer_id]); | |
} | |
// utils | |
static bool alloc_tensor_range(struct ggml_context * ctx, | |
struct ggml_tensor * first, struct ggml_tensor * last, | |
ggml_backend_buffer_type_t buft, size_t size, | |
ggml_backend_buffer_t ** buffers, size_t * n_buffers) { | |
ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, size); | |
if (buffer == NULL) { | |
fprintf(stderr, "%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(buft), size); | |
for (size_t i = 0; i < *n_buffers; i++) { | |
ggml_backend_buffer_free((*buffers)[i]); | |
} | |
free(*buffers); | |
return false; | |
} | |
struct ggml_tallocr tallocr = ggml_tallocr_new(buffer); | |
for (struct ggml_tensor * t = first; t != last; t = ggml_get_next_tensor(ctx, t)) { | |
if (t->data == NULL) { | |
if (t->view_src == NULL) { | |
ggml_tallocr_alloc(&tallocr, t); | |
} else if (t->buffer == NULL) { | |
ggml_backend_view_init(t); | |
} | |
} else { | |
if (t->view_src != NULL && t->buffer == NULL) { | |
// view of a pre-allocated tensor | |
ggml_backend_view_init(t); | |
} | |
} | |
} | |
*buffers = realloc(*buffers, sizeof(ggml_backend_buffer_t) * (*n_buffers + 1)); | |
(*buffers)[(*n_buffers)++] = buffer; | |
return true; | |
} | |
ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) { | |
GGML_ASSERT(ggml_get_no_alloc(ctx) == true); | |
size_t alignment = ggml_backend_buft_get_alignment(buft); | |
size_t max_size = ggml_backend_buft_get_max_size(buft); | |
ggml_backend_buffer_t * buffers = NULL; | |
size_t n_buffers = 0; | |
size_t cur_buf_size = 0; | |
struct ggml_tensor * first = ggml_get_first_tensor(ctx); | |
for (struct ggml_tensor * t = first; t != NULL; t = ggml_get_next_tensor(ctx, t)) { | |
size_t this_size = 0; | |
if (t->data == NULL && t->view_src == NULL) { | |
this_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); | |
} | |
if (this_size > max_size) { | |
fprintf(stderr, "%s: tensor %s is too large to fit in a %s buffer (tensor size: %zu, max buffer size: %zu)\n", | |
__func__, t->name, | |
ggml_backend_buft_name(buft), | |
this_size, max_size); | |
for (size_t i = 0; i < n_buffers; i++) { | |
ggml_backend_buffer_free(buffers[i]); | |
} | |
free(buffers); | |
return NULL; | |
} | |
if ((cur_buf_size + this_size) > max_size) { | |
// allocate tensors in the current buffer | |
if (!alloc_tensor_range(ctx, first, t, buft, cur_buf_size, &buffers, &n_buffers)) { | |
return NULL; | |
} | |
first = t; | |
cur_buf_size = this_size; | |
} else { | |
cur_buf_size += this_size; | |
} | |
} | |
// allocate remaining tensors | |
if (cur_buf_size > 0) { | |
if (!alloc_tensor_range(ctx, first, NULL, buft, cur_buf_size, &buffers, &n_buffers)) { | |
return NULL; | |
} | |
} | |
if (n_buffers == 0) { | |
fprintf(stderr, "%s: all tensors in the context are already allocated\n", __func__); | |
return NULL; | |
} | |
ggml_backend_buffer_t buffer; | |
if (n_buffers == 1) { | |
buffer = buffers[0]; | |
} else { | |
buffer = ggml_backend_multi_buffer_alloc_buffer(buffers, n_buffers); | |
} | |
free(buffers); | |
return buffer; | |
} | |
ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend) { | |
return ggml_backend_alloc_ctx_tensors_from_buft(ctx, ggml_backend_get_default_buffer_type(backend)); | |
} | |