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chore: import upstream snapshot with attribution
2026-07-13 13:23:58 +08:00

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C++

/*!
* Copyright (c) 2023-2025 by Contributors
* \file support/vlm_utils.h
* \brief Tools for debug purposes.
*/
#ifndef MLC_LLM_SUPPORT_VLM_UTILS_H_
#define MLC_LLM_SUPPORT_VLM_UTILS_H_
#include <tvm/runtime/tensor.h>
#include <string>
namespace mlc {
namespace llm {
/*!
* \brief Calculate the target height and width for resizing an image based on the input data and
* model type. \param image_data The input image data as a TVM Tensor. \param model_type The type
* of the model influencing the resizing parameters (e.g., phi3v). \param target_height Reference to
* the variable where the calculated target height will be stored. \param target_width Reference to
* the variable where the calculated target width will be stored.
*/
void CalculateResizeShape(tvm::runtime::Tensor image_data, std::string model_type,
int* p_target_height, int* p_target_width);
/*!
* \brief Calculate the padding height and width for an image based on the input data and model
* type. \param image_data The input image data as a TVM Tensor. \param model_type The type of the
* model influencing the padding parameters (e.g., phi3v). \param pad_height Reference to the
* variable where the calculated padding height will be stored. \param pad_width Reference to the
* variable where the calculated padding width will be stored.
*/
void CalculatePadShape(tvm::runtime::Tensor image_data, std::string model_type, int* p_pad_height,
int* p_pad_width);
/*!
* \brief Calculate the cropping height and width for an image based on the input data and model
* type. \param image_data The input image data as a TVM Tensor. \param model_type The type of the
* model influencing the cropping parameters (e.g., phi3v). \param crop_height Reference to the
* variable where the calculated cropping height will be stored. \param crop_width Reference to the
* variable where the calculated cropping width will be stored.
*/
void CalculateCropShape(tvm::runtime::Tensor image_data, std::string model_type, int* p_crop_height,
int* p_crop_width);
} // namespace llm
} // namespace mlc
#endif // MLC_LLM_SUPPORT_IMAGE_UTILS_H_