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- /* ----------------------------------------------------------------------
- * Project: TinyEngine
- * Title: precision_cnt.h
- *
- * Reference papers:
- * - MCUNet: Tiny Deep Learning on IoT Device, NeurIPS 2020
- * - MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning, NeurIPS 2021
- * - MCUNetV3: On-Device Training Under 256KB Memory, NeurIPS 2022
- * Contact authors:
- * - Wei-Ming Chen, wmchen@mit.edu
- * - Wei-Chen Wang, wweichen@mit.edu
- * - Ji Lin, jilin@mit.edu
- * - Ligeng Zhu, ligeng@mit.edu
- * - Song Han, songhan@mit.edu
- *
- * Target ISA: ARMv7E-M
- * -------------------------------------------------------------------- */
- #ifndef TINYENGINE_SOURCE_CONVOLUTIONFUNCTIONS_MIX_PRECISION_CNT_H_
- #define TINYENGINE_SOURCE_CONVOLUTIONFUNCTIONS_MIX_PRECISION_CNT_H_
- /* MIX precision */
- #define INPUT_PRE 8
- #define KERNEL_PRE 8
- #define OUTPUT_PRE 8
- #define input_scaler (8 / INPUT_PRE)
- #define weight_scaler (8 / KERNEL_PRE)
- #define output_scaler (8 / OUTPUT_PRE)
- #endif /* TINYENGINE_SOURCE_CONVOLUTIONFUNCTIONS_MIX_PRECISION_CNT_H_ */
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