Repository: ggerganov/llama.cpp
File: ggml/src/gguf.cpp (C++)

Code before:
        pad(alignment);
    }
};

void gguf_write_to_buf(const struct gguf_context * ctx, std::vector<int8_t> & buf, bool only_meta) {
    const struct gguf_writer gw(buf);

    const int64_t n_kv      = gguf_get_n_kv(ctx);
    const int64_t n_tensors = gguf_get_n_tensors(ctx);

    // write header
    gw.write(GGUF_MAGIC[0]);
    gw.write(GGUF_MAGIC[1]);
    gw.write(GGUF_MAGIC[2]);
    gw.write(GGUF_MAGIC[3]);
    gw.write(ctx->version);
    gw.write(n_tensors);
    gw.write(n_kv);

    // write key-value pairs
    for (int64_t i = 0; i < n_kv; ++i) {
        gw.write(ctx->kv[i]);
    }

    // write tensor info
    for (int64_t i = 0; i < n_tensors; ++i) {
        gw.write_tensor_meta(ctx->info[i]);
    }

    // we require the data section to be aligned
    gw.pad(ctx->alignment);

    if (only_meta) {
        return;
    }

    const size_t offset_data = gw.buf.size();

    // write tensor data
    for (int64_t i = 0; i < n_tensors; ++i) {
        gw.write_tensor_data(ctx->info[i], offset_data, ctx->alignment);
    }
}

bool gguf_write_to_file(const struct gguf_context * ctx, const char * fname, bool only_meta) {
    FILE * file = ggml_fopen(fname, "wb");

    if (!file) {
        GGML_LOG_ERROR("%s: failed to open file '%s' for writing GGUF data\n", __func__, fname);
        return false;
    }

Review comment (suggestion):
```suggestion
template <typename writer_t>
```

Preferably use snake_case.

Code after:
    void write(const std::vector<int8_t> & val) override {
        buf.insert(buf.end(), val.begin(), val.end());
        written_bytes += val.size();
    }

    void write_tensor_data(const struct gguf_tensor_info & info, const size_t offset_data, const size_t alignment) override {
        GGML_ASSERT(buf.size() - offset_data == info.offset);

        GGML_ASSERT(ggml_is_contiguous(&info.t));
        const size_t offset = buf.size();
        const size_t nbytes = ggml_nbytes(&info.t);

        buf.resize(offset + nbytes);
        if (info.t.buffer) {
            ggml_backend_tensor_get(&info.t, buf.data() + offset, 0, nbytes);
        } else {
            GGML_ASSERT(info.t.data);
            memcpy(buf.data() + offset, info.t.data, nbytes);
        }
        written_bytes += nbytes;

        pad(alignment);
    }
};

// file based writer
struct gguf_writer_file final : public gguf_writer_base {
    FILE * file;

    gguf_writer_file(FILE* file) : file(file) {}

    using gguf_writer_base::write;

    void write(const int8_t val) override {
        const auto real_val = static_cast<uint8_t>(val);
        const auto ret = fputc(real_val, file);
        written_bytes++;
        if (ret != real_val) {
            throw std::runtime_error("unexpected fputc result '" + std::to_string(ret) + "' instead of '" + std::to_string((int)real_val) + "'");
        }
    }

    void write(const std::vector<int8_t> & val) override {
        const auto ret = fwrite(val.data(), 1, val.size(), file);
        written_bytes += val.size();
        if (ret != val.size()) {
            throw std::runtime_error("unexpected fwrite number of bytes written, '" + std::to_string(ret) + "' instead of '" + std::to_string(val.size()) + "'");
        }
    }

    void write_tensor_data(const struct gguf_tensor_info & info, const size_t offset_data, const size_t alignment) override {