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refactor: reorganize src model layout (#1615)
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#ifndef __SD_CORE_UTIL_H__
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#define __SD_CORE_UTIL_H__
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#include <cstdint>
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#include <memory>
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#include <string>
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#include <utility>
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#include <vector>
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#include "core/tensor.hpp"
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#include "ggml-backend.h"
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#include "stable-diffusion.h"
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#define SAFE_STR(s) ((s) ? (s) : "")
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#define BOOL_STR(b) ((b) ? "true" : "false")
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bool ends_with(const std::string& str, const std::string& ending);
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bool starts_with(const std::string& str, const std::string& start);
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bool contains(const std::string& str, const std::string& substr);
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std::string sd_format(const char* fmt, ...);
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void replace_all_chars(std::string& str, char target, char replacement);
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int round_up_to(int value, int base);
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bool file_exists(const std::string& filename);
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bool is_directory(const std::string& path);
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std::u32string utf8_to_utf32(const std::string& utf8_str);
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std::string utf32_to_utf8(const std::u32string& utf32_str);
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std::u32string unicode_value_to_utf32(int unicode_value);
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// std::string sd_basename(const std::string& path);
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sd_image_t tensor_to_sd_image(const sd::Tensor<float>& tensor, int frame_index = 0);
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sd::Tensor<float> sd_image_to_tensor(sd_image_t image,
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int target_width = -1,
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int target_height = -1,
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bool scale = true);
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sd::Tensor<float> clip_preprocess(const sd::Tensor<float>& image, int target_width, int target_height);
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class MmapWrapper {
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public:
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static std::unique_ptr<MmapWrapper> create(const std::string& filename, bool writable = false);
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virtual ~MmapWrapper() = default;
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MmapWrapper(const MmapWrapper&) = delete;
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MmapWrapper& operator=(const MmapWrapper&) = delete;
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MmapWrapper(MmapWrapper&&) = delete;
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MmapWrapper& operator=(MmapWrapper&&) = delete;
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const uint8_t* data() const { return static_cast<uint8_t*>(data_); }
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uint8_t* writable_data() { return static_cast<uint8_t*>(data_); }
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size_t size() const { return size_; }
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bool copy_data(void* buf, size_t n, size_t offset) const;
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protected:
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MmapWrapper(void* data, size_t size)
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: data_(data), size_(size) {}
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void* data_ = nullptr;
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size_t size_ = 0;
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};
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std::string path_join(const std::string& p1, const std::string& p2);
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std::vector<std::string> split_string(const std::string& str, char delimiter);
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using KeyValueArgs = std::vector<std::pair<std::string, std::string>>;
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KeyValueArgs parse_key_value_args(const char* args, const char* context = "key=value arg");
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KeyValueArgs parse_key_value_args(const std::string& args, const char* context = "key=value arg");
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bool parse_strict_float(const std::string& text, float& value);
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bool parse_strict_int(const std::string& text, int& value);
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bool parse_strict_bool(const std::string& text, bool& value);
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void pretty_progress(int step, int steps, float time);
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void pretty_bytes_progress(int step, int steps, uint64_t bytes_processed, float elapsed_seconds);
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void log_printf(sd_log_level_t level, const char* file, int line, const char* format, ...);
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std::string trim(const std::string& s);
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std::vector<std::pair<std::string, float>> parse_prompt_attention(const std::string& text);
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std::vector<std::pair<std::string, float>> split_quotation_attention(
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const std::vector<std::pair<std::string, float>>& parsed_attention);
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sd_progress_cb_t sd_get_progress_callback();
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void* sd_get_progress_callback_data();
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sd_preview_cb_t sd_get_preview_callback();
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void* sd_get_preview_callback_data();
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preview_t sd_get_preview_mode();
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int sd_get_preview_interval();
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bool sd_should_preview_denoised();
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bool sd_should_preview_noisy();
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// test if the backend is a specific one, e.g. "CUDA", "ROCm", "Vulkan" etc.
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bool sd_backend_is(ggml_backend_t backend, const std::string& name);
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#define LOG_DEBUG(format, ...) log_printf(SD_LOG_DEBUG, __FILE__, __LINE__, format, ##__VA_ARGS__)
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#define LOG_INFO(format, ...) log_printf(SD_LOG_INFO, __FILE__, __LINE__, format, ##__VA_ARGS__)
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#define LOG_WARN(format, ...) log_printf(SD_LOG_WARN, __FILE__, __LINE__, format, ##__VA_ARGS__)
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#define LOG_ERROR(format, ...) log_printf(SD_LOG_ERROR, __FILE__, __LINE__, format, ##__VA_ARGS__)
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#endif // __SD_CORE_UTIL_H__
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