mirror of
https://github.com/leejet/stable-diffusion.cpp.git
synced 2026-08-03 16:50:45 -05:00
feat: support mmap for model loading (#1059)
This commit is contained in:
23
model.cpp
23
model.cpp
@@ -1340,7 +1340,7 @@ std::string ModelLoader::load_umt5_tokenizer_json() {
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return json_str;
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}
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bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_threads_p) {
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bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_threads_p, bool enable_mmap) {
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int64_t process_time_ms = 0;
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std::atomic<int64_t> read_time_ms(0);
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std::atomic<int64_t> memcpy_time_ms(0);
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@@ -1390,6 +1390,15 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
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}
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}
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std::unique_ptr<MmapWrapper> mmapped;
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if (enable_mmap && !is_zip) {
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LOG_DEBUG("using mmap for I/O");
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mmapped = MmapWrapper::create(file_path);
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if (!mmapped) {
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LOG_WARN("failed to memory-map '%s'", file_path.c_str());
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}
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}
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int n_threads = is_zip ? 1 : std::min(num_threads_to_use, (int)file_tensors.size());
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if (n_threads < 1) {
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n_threads = 1;
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@@ -1411,7 +1420,7 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
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failed = true;
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return;
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}
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} else {
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} else if (!mmapped) {
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file.open(file_path, std::ios::binary);
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if (!file.is_open()) {
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LOG_ERROR("failed to open '%s'", file_path.c_str());
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@@ -1464,6 +1473,11 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
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zip_entry_noallocread(zip, (void*)buf, n);
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}
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zip_entry_close(zip);
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} else if (mmapped) {
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if (!mmapped->copy_data(buf, n, tensor_storage.offset)) {
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LOG_ERROR("read tensor data failed: '%s'", file_path.c_str());
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failed = true;
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}
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} else {
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file.seekg(tensor_storage.offset);
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file.read(buf, n);
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@@ -1588,7 +1602,8 @@ bool ModelLoader::load_tensors(on_new_tensor_cb_t on_new_tensor_cb, int n_thread
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bool ModelLoader::load_tensors(std::map<std::string, struct ggml_tensor*>& tensors,
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std::set<std::string> ignore_tensors,
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int n_threads) {
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int n_threads,
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bool enable_mmap) {
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std::set<std::string> tensor_names_in_file;
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std::mutex tensor_names_mutex;
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auto on_new_tensor_cb = [&](const TensorStorage& tensor_storage, ggml_tensor** dst_tensor) -> bool {
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@@ -1631,7 +1646,7 @@ bool ModelLoader::load_tensors(std::map<std::string, struct ggml_tensor*>& tenso
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return true;
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};
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bool success = load_tensors(on_new_tensor_cb, n_threads);
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bool success = load_tensors(on_new_tensor_cb, n_threads, enable_mmap);
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if (!success) {
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LOG_ERROR("load tensors from file failed");
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return false;
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