Class Hierarchy#
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Mobilint SDK qb Compiler v1.0
MCS002-EN
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 12]
| Cqbcompiler.calibration.preprocess.CenterCrop | Perform a centered crop on the image |
| CCompiler | |
| Cqbcompiler.frontend.Model_Dict | Wrapper around the Mobilint compiler to support compilation and inference workflows |
| CConfigABC | |
| Cqbcompiler.configs.advanced_quantization_config.AdvancedQuantizationConfig | Configuration for advanced quantization options used during quantization |
| Cqbcompiler.configs.compile_config.CompileConfig | |
| Cqbcompiler.configs.equivalent_transformation_config.EquivalentTransformationConfig | Configuration for equivalent transformation techniques |
| Cqbcompiler.configs.input_process_config.InputProcessConfig | Unified configuration for input processing |
| Cqbcompiler.configs.input_process_config.PreprocessingConfig | Configuration for input preprocessing pipeline |
| Cqbcompiler.configs.input_process_config.Uint8InputConfig | Configuration for uint8 input handling |
| Cqbcompiler.configs.llm_config.LlmConfig | Configuration for Large Language Model (LLM) compilation |
| Cqbcompiler.configs.mod_config.ModConfig | Configuration for Minimum Output Difference algorithm |
| Cqbcompiler.configs.quantization_config.BitConfig | Configuration for bit precision |
| Cqbcompiler.configs.quantization_config.CalibrationConfig | Configuration for calibration during quantization |
| Cqbcompiler.configs.quantization_config.QuantizationConfig | Unified quantization configuration |
| Cqbcompiler.configs.resource_management_config.ResourceManagementConfig | Configuration for resource management during model compilation |
| Cqbcompiler.configs.search_weight_scale_config.SearchWeightScaleConfig | Configuration for searching weight scale |
| Cqbcompiler.calibration.preprocess.GetImage | Retrieve an image tensor from a file path or NumPy array using OpenCV |
| Cqbcompiler.calibration.preprocess.GetNpy | Load NumPy data from an in-memory array or a .npy file |
| CGetText | Extract text strings from raw inputs |
| Cqbcompiler.calibration.preprocess.Normalize | Apply mean/std normalization to images |
| Cqbcompiler.calibration.preprocess.NpyNormalize | |
| Cqbcompiler.calibration.preprocess.NpyPad | Pad NumPy arrays to a desired shape |
| Cqbcompiler.calibration.preprocess.Pad | Pad images to a target shape or to meet a size divisor |
| Cqbcompiler.calibration.preprocess.preproc_builder | Build a calibration preprocessing pipeline from a YAML or dict configuration |
| Cqbcompiler.calibration.preprocess.Resize | Resize images with optional aspect-ratio preservation |
| Cqbcompiler.calibration.preprocess.ResizeTorch | |
| Cqbcompiler.calibration.preprocess.SetOrder | |
| CTokenizeToEmbedding | Convert tokenized text into embeddings using a Hugging Face model |
| CYoloPre | Apply YOLO-style resize, padding, and normalization to images |
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