DarthAffe/stable-diffusion.cpp
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fix: make parameter loading backend-aware (#1828)

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yzyyzyhhh authored and GitHub committed 2026-07-29 22:18:44 +08:00
1 parent 53856e7ec8
commit 2993b7fb43
7 files changed
+162 -30
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src/model_loader.cpp
+3 -12
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@@ -1053,7 +1053,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb,
std::atomic<size_t> tensor_idx(0);
std::atomic<bool> failed(false);
std::vector<std::thread> workers;
std::mutex rpc_backend_mutex;
std::mutex backend_tensor_set_mutex;
for (int i = 0; i < n_threads; ++i) {
workers.emplace_back([&, file_path, is_zip]() {
@@ -1214,17 +1214,8 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb,
if (dst_tensor->buffer != nullptr && !ggml_backend_buffer_is_host(dst_tensor->buffer)) {
t0 = ggml_time_ms();
// RPC backends require serialized access to prevent concurrency issues
const char* buffer_type_name = ggml_backend_buft_name(ggml_backend_buffer_get_type(dst_tensor->buffer));
bool is_rpc_buffer = buffer_type_name != nullptr &&
std::string(buffer_type_name).find("RPC") != std::string::npos;
if (is_rpc_buffer) {
std::lock_guard<std::mutex> lock(rpc_backend_mutex);
ggml_backend_tensor_set(dst_tensor, convert_buf, 0, ggml_nbytes(dst_tensor));
} else {
ggml_backend_tensor_set(dst_tensor, convert_buf, 0, ggml_nbytes(dst_tensor));
}
std::lock_guard<std::mutex> lock(backend_tensor_set_mutex);
ggml_backend_tensor_set(dst_tensor, convert_buf, 0, ggml_nbytes(dst_tensor));
t1 = ggml_time_ms();
copy_to_backend_time_ms.fetch_add(t1 - t0);