text: // Copyright (C) 2019. Huawei Technologies Co., Ltd. All rights reserved.
  
  // Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
  // to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
  // and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
  
  // The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
  
  // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
  // WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
  // COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  
  #ifndef _MULTIHEAD_ATTENTION_MALI_FP16
  #define _MULTIHEAD_ATTENTION_MALI_FP16
  
  #include "gpu/mali/fp16/tensor_computing_fp16.h"
  
  EE multihead_attention_transform_filter_bytes_mali_fp16(std::vector<TensorDesc> filterDesc,
      GCLMemDesc_t gclmemFilterDesc,
      U32 *bytes,
      ForwardRunInfoMali_t forwardRunInfo);
  
  EE multihead_attention_transform_filter_mali_fp16(GCLHandle_t handle,
      std::vector<TensorDesc> filterDesc,
      std::vector<void *> filter,
      std::vector<TensorDesc> *fltmemDesc,
      std::vector<void *> fltmem,
      ForwardRunInfoMali_t forwardRunInfo);
  
  EE multihead_attention_infer_forward_tmp_bytes_mali_fp16(TensorDesc inputDesc,
      std::vector<TensorDesc> filterDesc,
      std::vector<bool> eltwiseWithLayerNormIn,
      U32 *firstFCSliceNum,
      U32 matmulSliceLen,
      U32 *bytes,
      ForwardRunInfoMali_t forwardRunInfo);
  
  EE multihead_attention_mali_fp16(GCLHandle_t handle,
      TensorDesc inputDesc,
      const GCLMem_t input,
      std::vector<TensorDesc> filterDesc,
      std::vector<void *> filter,
      std::vector<TensorDesc> biasDesc,
      std::vector<void *> bias,
      std::vector<void *> layerNormAlpha,
      std::vector<void *> layerNormBeta,
      void *multiplyAlpha,
      void *multiplyBeta,
      U32 *firstFCSliceNum,
      U32 matmulSliceLen,
      std::vector<bool> eltwiseWithLayerNormIn,
      ActivationMode activation,
      U32 tmpBytes,
      GCLMem_t tmpBuf,
      TensorDesc outputDesc,
      GCLMem_t output,
      ForwardRunInfoMali_t forwardRunInfo);
  #endif
  