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llama : only use default buffer types for the KV cache (llama/10358)
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@ -880,7 +880,7 @@ static int ggml_backend_sched_backend_id(ggml_backend_sched_t sched, ggml_backen
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}
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static int ggml_backend_sched_backend_from_buffer(ggml_backend_sched_t sched, const struct ggml_tensor * tensor, const struct ggml_tensor * op) {
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ggml_backend_buffer_t buffer = tensor->buffer;
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ggml_backend_buffer_t buffer = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
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if (buffer == NULL) {
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return -1;
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}
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@ -913,8 +913,6 @@ static char causes[GGML_DEFAULT_GRAPH_SIZE*16 + GGML_SCHED_MAX_SPLITS_DEBUG*GGML
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// returns the backend that should be used for the node based on the current locations
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static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, struct ggml_tensor * tensor) {
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// TODO: use supports_op to check if the backend supports the op
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// assign pre-allocated nodes to their backend
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int cur_backend_id = ggml_backend_sched_backend_from_buffer(sched, tensor, tensor);
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if (cur_backend_id != -1) {
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@ -933,7 +931,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st
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if (tensor->buffer || (tensor->view_src && tensor->view_src->buffer)) {
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// since the tensor is pre-allocated, it cannot be moved to another backend
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GGML_ABORT("pre-allocated tensor in a backend that cannot run the operation");
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GGML_ABORT("pre-allocated tensor (%s) in a backend that cannot run the operation", tensor->name);
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}
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// graph input
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@ -1077,6 +1075,9 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
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for (int i = 0; i < graph->n_nodes; i++) {
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struct ggml_tensor * node = graph->nodes[i];
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int * node_backend_id = &tensor_backend_id(node);
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if (ggml_is_view_op(node->op)) {
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continue;
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}
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// do not overwrite user assignments
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if (*node_backend_id == -1) {
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*node_backend_id = ggml_backend_sched_backend_id_from_cur(sched, node);
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