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@@ -1953,6 +1953,7 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
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ggml_backend_tensor_get_async(ids_backend, ids_tensor, ids.data(), 0, ggml_nbytes(ids_tensor));
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ggml_backend_synchronize(ids_backend);
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needs_sync[tensor_backend_id(ids_tensor)] = false;
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unique_ids.resize((n_expert + 31)/32);
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std::memset(unique_ids.data(), 0, unique_ids.size()*sizeof(uint32_t));
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@@ -2009,7 +2010,11 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
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// try async copy, but if not possible, we can still use a sync copy without synchronizing the dst backend, since we handle the synchronization here with multiple copies and events
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// TODO: add public function to facilitate this, since applications do not have direct access to the backend interface
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if (!split_backend->iface.cpy_tensor_async || !split_backend->iface.cpy_tensor_async(input_backend, split_backend, input, input_cpy)) {
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ggml_backend_synchronize(input_backend);
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int input_backend_id = tensor_backend_id(input);
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if (needs_sync[input_backend_id]) {
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ggml_backend_synchronize(input_backend);
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needs_sync[input_backend_id] = false;
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}
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if (needs_sync[split_backend_id]) {
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if (sched->events[split_backend_id][sched->cur_copy] != NULL) {
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ggml_backend_event_synchronize(sched->events[split_backend_id][sched->cur_copy]);
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@@ -2023,7 +2028,9 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
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}
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}
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needs_sync[split_backend_id] = true;
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if (split->n_inputs > 0) {
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needs_sync[split_backend_id] = true;
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}
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if (!sched->callback_eval) {
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#if IK_PRINT_TIMING
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int64_t tim2 = ggml_time_us();
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