/** ****************************************************************************** * @file stm32f7xx_it.h ****************************************************************************** * @attention * *

© COPYRIGHT(c) 2017 STMicroelectronics

* * Redistribution and use in source and binary forms, with or without modification, * are permitted provided that the following conditions are met: * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * 3. Neither the name of STMicroelectronics nor the names of its contributors * may be used to endorse or promote products derived from this software * without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * ****************************************************************************** */ /* ---------------------------------------------------------------------- * Project: TinyEngine * Title: stm32f7xx_it.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 __STM32F7xx_IT_H #define __STM32F7xx_IT_H #ifdef __cplusplus extern "C" { #endif void NMI_Handler(void); void HardFault_Handler(void); void MemManage_Handler(void); void BusFault_Handler(void); void UsageFault_Handler(void); void SVC_Handler(void); void DebugMon_Handler(void); void PendSV_Handler(void); void TIM6_DAC_IRQHandler(void); #ifdef __cplusplus } #endif #endif