feat: stream model conversion (#1581)

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Shikaku2 authored and GitHub committed 2026-07-05 17:46:07 +08:00
1 parent e9dee542c4
commit da6db07c5c
12 files changed
+676 -82

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@@ -1,8 +1,10 @@
#include "safetensors_io.h"
#include <algorithm>
#include <cstdint>
#include <exception>
#include <fstream>
#include <ostream>
#include <string>
#include <vector>
@@ -314,3 +316,102 @@ bool write_safetensors_file(const std::string& file_path,
return true;
}
bool SafetensorsStreamingWriter::write_metadata(const std::string& file_path,
const std::vector<TensorWritePlan>& tensors,
std::string* error) {
file_path_ = file_path;
tensors_ = tensors;
tensor_offsets_.clear();
data_start_ = 0;
file_size_ = 0;
nlohmann::ordered_json header = nlohmann::ordered_json::object();
uint64_t data_offset = 0;
tensor_offsets_.resize(tensors.size());
for (size_t i = 0; i < tensors.size(); i++) {
const TensorWritePlan& plan = tensors[i];
std::string dtype;
if (!ggml_type_to_safetensors_dtype(plan.type, &dtype)) {
set_error(error,
"unsupported safetensors dtype '" + std::string(ggml_type_name(plan.type)) +
"' for tensor '" + plan.name + "'");
return false;
}
nlohmann::ordered_json json_tensor_info = nlohmann::ordered_json::object();
json_tensor_info["dtype"] = dtype;
nlohmann::ordered_json shape = nlohmann::ordered_json::array();
for (int j = 0; j < plan.n_dims; ++j) {
shape.push_back(plan.ne[plan.n_dims - 1 - j]);
}
json_tensor_info["shape"] = shape;
nlohmann::ordered_json data_offsets = nlohmann::ordered_json::array();
data_offsets.push_back(data_offset);
data_offsets.push_back(data_offset + plan.nbytes());
json_tensor_info["data_offsets"] = data_offsets;
header[plan.name] = json_tensor_info;
tensor_offsets_[i] = data_offset;
data_offset += plan.nbytes();
}
const std::string header_str = header.dump();
data_start_ = ST_HEADER_SIZE_LEN + header_str.size();
LOG_INFO("trying to save tensors to %s", file_path.c_str());
std::ofstream file(file_path, std::ios::binary | std::ios::trunc);
if (!file.is_open()) {
set_error(error, "failed to open '" + file_path + "' for writing");
return false;
}
uint8_t header_size[ST_HEADER_SIZE_LEN];
for (int i = 0; i < static_cast<int>(ST_HEADER_SIZE_LEN); ++i) {
header_size[i] = static_cast<uint8_t>((header_str.size() >> (8 * i)) & 0xFF);
}
file.write(reinterpret_cast<const char*>(header_size), sizeof(header_size));
file.write(header_str.data(), static_cast<std::streamsize>(header_str.size()));
if (!file) {
set_error(error, "failed to write safetensors header to '" + file_path + "'");
return false;
}
file_size_ = data_start_ + data_offset;
return true;
}
bool SafetensorsStreamingWriter::write_tensor(std::ostream& output,
size_t tensor_index,
const uint8_t* data,
size_t size,
std::string* error) const {
if (tensor_index >= tensors_.size() || tensor_index >= tensor_offsets_.size()) {
set_error(error, "invalid safetensors tensor index");
return false;
}
const TensorWritePlan& plan = tensors_[tensor_index];
if (size != plan.nbytes()) {
set_error(error, "size mismatch while writing tensor '" + plan.name + "'");
return false;
}
output.seekp(static_cast<std::streamoff>(data_start_ + tensor_offsets_[tensor_index]), std::ios::beg);
if (!output) {
set_error(error, "failed to seek output for tensor '" + plan.name + "'");
return false;
}
if (size > 0) {
output.write(reinterpret_cast<const char*>(data), static_cast<std::streamsize>(size));
}
if (!output) {
set_error(error, "failed to write tensor '" + plan.name + "' to '" + file_path_ + "'");
return false;
}
return true;
}
uint64_t SafetensorsStreamingWriter::file_size() const {
return file_size_;
}