diff options
Diffstat (limited to 'ggml-alloc.c')
-rw-r--r-- | ggml-alloc.c | 106 |
1 files changed, 82 insertions, 24 deletions
diff --git a/ggml-alloc.c b/ggml-alloc.c index 95a93c99..dfe5ba2e 100644 --- a/ggml-alloc.c +++ b/ggml-alloc.c @@ -778,38 +778,26 @@ size_t ggml_allocr_alloc_graph(ggml_allocr_t alloc, struct ggml_cgraph * graph) } // utils -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 nbytes = 0; - for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { - if (t->data == NULL && t->view_src == NULL) { - nbytes += GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); - } - } - - if (nbytes == 0) { - // all the tensors in the context are already allocated -#ifndef NDEBUG - fprintf(stderr, "%s: all tensors in the context are already allocated\n", __func__); -#endif - return NULL; - } - ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes); +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) { - // failed to allocate buffer #ifndef NDEBUG - fprintf(stderr, "%s: failed to allocate buffer\n", __func__); + fprintf(stderr, "%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(buft), size); #endif - return NULL; + for (size_t i = 0; i < *n_buffers; i++) { + ggml_backend_buffer_free(*buffers[i]); + } + free(buffers); + return false; } ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); - for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + 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); @@ -826,6 +814,76 @@ ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_conte ggml_tallocr_free(tallocr); + *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) { + // tensor is too large to fit in a single buffer + 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) { + // all the tensors in the context are already allocated +#ifndef NDEBUG + fprintf(stderr, "%s: all tensors in the context are already allocated\n", __func__); +#endif + 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; } |