}
// an async copy would normally happen after all the queued operations on both backends are completed
- // sync src, set_async dst
- if (ggml_backend_buffer_is_host(src->buffer)) {
- ggml_backend_synchronize(backend_src);
- ggml_backend_tensor_set_async(backend_dst, dst, src->data, 0, ggml_nbytes(src));
- } else {
- ggml_backend_synchronize(backend_src);
- ggml_backend_tensor_copy(src, dst);
- ggml_backend_synchronize(backend_dst);
- }
+ // to simulate the same behavior, we need to synchronize both backends first, and do a blocking copy
+ ggml_backend_synchronize(backend_src);
+ ggml_backend_synchronize(backend_dst);
+ ggml_backend_tensor_copy(src, dst);
}
// events
} else {
ggml_backend_synchronize(split_backend);
}
- ggml_backend_tensor_copy_async(input_backend, split_backend, input, input_cpy);
+ // 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
+ // TODO: add public function to facilitate this, since applications do not have direct access to the backend interface
+ if (!split_backend->iface.cpy_tensor_async || !split_backend->iface.cpy_tensor_async(input_backend, split_backend, input, input_cpy)) {
+ ggml_backend_synchronize(input_backend);
+ if (sched->events[split_backend_id][sched->cur_copy] != NULL) {
+ ggml_backend_event_synchronize(sched->events[split_backend_id][sched->cur_copy]);
+ } else {
+ ggml_backend_synchronize(split_backend);
+ }
+ ggml_backend_tensor_copy(input, input_cpy);
+ }
}
}
}
GGML_CALL static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) {
- GGML_ASSERT(ggml_backend_is_cuda(backend_src) || ggml_backend_is_cuda(backend_dst));
-
ggml_backend_buffer_t buf_src = src->view_src ? src->view_src->buffer : src->buffer;
ggml_backend_buffer_t buf_dst = dst->view_src ? dst->view_src->buffer : dst->buffer;
- if (!ggml_backend_buffer_is_cuda(src->buffer)) {
+ if (!ggml_backend_is_cuda(backend_src) || !ggml_backend_is_cuda(backend_dst)) {
return false;
}
- if (!ggml_backend_buffer_is_cuda(dst->buffer)) {
+ if (!ggml_backend_buffer_is_cuda(src->buffer) || !ggml_backend_buffer_is_cuda(dst->buffer)) {
return false;
}
- // device -> device
+ // device -> device copy
ggml_backend_cuda_context * cuda_ctx_src = (ggml_backend_cuda_context *)backend_src->context;
ggml_backend_cuda_context * cuda_ctx_dst = (ggml_backend_cuda_context *)backend_dst->context;
- if (backend_src != backend_dst) {
- ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *)buf_src->context;
- ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *)buf_dst->context;
+ ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *)buf_src->context;
+ ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *)buf_dst->context;
- GGML_ASSERT(cuda_ctx_src->device == buf_ctx_src->device);
- GGML_ASSERT(cuda_ctx_dst->device == buf_ctx_dst->device);
+ if (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device) {
+#ifndef NDEBUG
+ GGML_CUDA_LOG_WARN("%s: backend and buffer devices do not match\n", __func__);
+#endif
+ return false;
+ }
+ if (backend_src != backend_dst) {
// copy on src stream
if (cuda_ctx_src->device == cuda_ctx_dst->device) {
- CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_dst->stream()));
+ CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_src->stream()));
} else {
#ifdef GGML_CUDA_NO_PEER_COPY
return false;
#endif
}
- // record event on src stream
+ // record event on src stream after the copy
if (!cuda_ctx_src->copy_event) {
ggml_cuda_set_device(cuda_ctx_src->device);
CUDA_CHECK(cudaEventCreateWithFlags(&cuda_ctx_src->copy_event, cudaEventDisableTiming));
CUDA_CHECK(cudaStreamWaitEvent(cuda_ctx_dst->stream(), cuda_ctx_src->copy_event, 0));
} else {
// src and dst are on the same backend
- CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_dst->stream()));
+ CUDA_CHECK(cudaMemcpyAsync(dst->data, src->data, ggml_nbytes(dst), cudaMemcpyDeviceToDevice, cuda_ctx_src->stream()));
}
return true;
}