ggml-backend : fix async copy from CPU (#8897)
* ggml-backend : fix async copy from CPU * cuda : more reliable async copy, fix stream used when the devices are the same
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0478174d59
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2 changed files with 31 additions and 24 deletions
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@ -351,15 +351,10 @@ void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t b
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}
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// an async copy would normally happen after all the queued operations on both backends are completed
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// sync src, set_async dst
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if (ggml_backend_buffer_is_host(src->buffer)) {
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ggml_backend_synchronize(backend_src);
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ggml_backend_tensor_set_async(backend_dst, dst, src->data, 0, ggml_nbytes(src));
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} else {
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ggml_backend_synchronize(backend_src);
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ggml_backend_tensor_copy(src, dst);
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ggml_backend_synchronize(backend_dst);
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}
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// to simulate the same behavior, we need to synchronize both backends first, and do a blocking copy
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ggml_backend_synchronize(backend_src);
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ggml_backend_synchronize(backend_dst);
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ggml_backend_tensor_copy(src, dst);
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}
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// events
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@ -1782,7 +1777,17 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
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} else {
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ggml_backend_synchronize(split_backend);
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}
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ggml_backend_tensor_copy_async(input_backend, split_backend, input, input_cpy);
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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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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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} else {
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ggml_backend_synchronize(split_backend);
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}
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ggml_backend_tensor_copy(input, input_cpy);
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}
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}
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}
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