text: /****************************************************************************
  *
  *    Copyright (c) 2020 Vivante Corporation
  *
  *    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.
  *
  *****************************************************************************/
  #include <string.h>
  #include <stdlib.h>
  
  #include "vsi_nn_types.h"
  #include "vsi_nn_platform.h"
  #include "vsi_nn_log.h"
  #include "vsi_nn_graph.h"
  #include "vsi_nn_node.h"
  #include "vsi_nn_prv.h"
  #include "utils/vsi_nn_math.h"
  #include "vsi_nn_ops.h"
  #include "vsi_nn_tensor.h"
  #include "vsi_nn_tensor_util.h"
  #include "libnnext/vsi_nn_vxkernel.h"
  #include "kernel/vsi_nn_kernel.h"
  #include "utils/vsi_nn_constraint_check.h"
  
  #define _INPUT_NUM          (1)
  #define _OUTPUT_NUM         (1)
  
  static vsi_status op_compute
      (
      vsi_nn_node_t * self,
      vsi_nn_tensor_t ** inputs,
      vsi_nn_tensor_t ** outputs
      )
  {
      vsi_status status = VSI_FAILURE;
      vsi_nn_kernel_param_t * param = NULL;
      vsi_nn_kernel_node_t    n = NULL;
      param =vsi_nn_kernel_param_create();
  
      vsi_nn_kernel_param_add_int32( param, "scale_x", self->nn_param.pre_process_rgb.local.scale_x );
      vsi_nn_kernel_param_add_int32( param, "scale_y", self->nn_param.pre_process_rgb.local.scale_y );
      vsi_nn_kernel_param_add_int32( param, "left", self->nn_param.pre_process_rgb.rect.left );
      vsi_nn_kernel_param_add_int32( param, "top", self->nn_param.pre_process_rgb.rect.top );
      vsi_nn_kernel_param_add_float32( param, "r_mean", self->nn_param.pre_process_rgb.r_mean );
      vsi_nn_kernel_param_add_float32( param, "g_mean", self->nn_param.pre_process_rgb.g_mean );
      vsi_nn_kernel_param_add_float32( param, "b_mean", self->nn_param.pre_process_rgb.b_mean );
      vsi_nn_kernel_param_add_float32( param, "rgb_scale", self->nn_param.pre_process_rgb.rgb_scale );
      vsi_nn_kernel_param_add_int32( param, "reverse", self->nn_param.pre_process_rgb.reverse_channel );
      vsi_nn_kernel_param_add_int32( param, "enable_perm", self->nn_param.pre_process_rgb.local.enable_perm );
      vsi_nn_kernel_param_add_int32( param, "enable_copy", self->nn_param.pre_process_rgb.local.enable_copy );
      n = vsi_nn_kernel_selector( self->graph, "pre_process_rgb", inputs, 1, outputs, 1, param );
      if( n != NULL )
      {
          self->n = (vx_node)n;
          status = VSI_SUCCESS;
      }
  
      if(param != NULL)
      {
          vsi_nn_kernel_param_release( &param );
      }
  
      return status;
  } /* op_compute() */
  
  static vsi_bool op_check
      (
      vsi_nn_node_t * self,
      vsi_nn_tensor_t ** inputs,
      vsi_nn_tensor_t ** outputs
      )
  {
      BEGIN_IO_TYPE_DECL(PRE_PROCESS_RGB, 1, 1)
          IO_TYPE(D_U8|Q_ASYM,  D_U8|Q_ASYM)
          IO_TYPE(D_U8|Q_ASYM,  D_I8|Q_DFP)
          IO_TYPE(D_U8|Q_ASYM,  D_I16|Q_DFP)
          IO_TYPE(D_U8|Q_ASYM,  D_F16)
          IO_TYPE(D_U8,  D_U8|Q_ASYM)
          IO_TYPE(D_U8,  D_I8|Q_DFP)
          IO_TYPE(D_U8,  D_I16|Q_DFP)
          IO_TYPE(D_U8,  D_F16)
      END_IO_TYPE_DECL(PRE_PROCESS_RGB)
      if(!VALIDATE_OP_IO_TYPES(PRE_PROCESS_RGB, self, inputs, self->input.num, outputs, self->output.num)) {
          char* desc = generate_op_io_types_desc(inputs,
                  self->input.num, outputs, self->output.num);
          VSILOGE("Inputs/Outputs data type not support: %s", desc);
          destroy_op_io_types_desc(desc);
          return FALSE;
      }
  
      return TRUE;
  } /* op_check() */
  
  static vsi_bool op_setup
      (
      vsi_nn_node_t * self,
      vsi_nn_tensor_t ** inputs,
      vsi_nn_tensor_t ** outputs
      )
  {
      /* TODO: Add code to comput outputs' shape. */
      vsi_nn_pre_process_rgb_param * p = NULL;
      uint32_t i = 0;
      p = (vsi_nn_pre_process_rgb_param *)&(self->nn_param.pre_process_rgb);
  
      if (p->rect.width == 0 || p->rect.height == 0)
      {
          VSILOGE("Image size cannot be zero !(PRE_PROCESS_RGB)\n");
          return FALSE;
      }
      else
      {
          for (i = 0; i < p->output_attr.dim_num; i++)
          {
              if (p->output_attr.size[i] == 0)
              {
                  VSILOGE("output size cannot be zero!(PRE_PROCESS_RGB)\n");
                  return FALSE;
              }
          }
      }
  
      if( VSI_NN_DIM_AUTO == outputs[PRE_PROCESS_RGB_OUTPUT]->attr.dim_num )
      {
          if (p->output_attr.dim_num > 0)
          {
              for (i = 0; i < p->output_attr.dim_num; i++)
              {
                  if (p->output_attr.size[i] == 0)
                  {
                      VSILOGE("output size cannot be zero!(PRE_PROCESS_RGB)\n");
                      return FALSE;
                  }
                  else
                  {
                      outputs[PRE_PROCESS_RGB_OUTPUT]->attr.dim_num = p->output_attr.dim_num;
                      outputs[PRE_PROCESS_RGB_OUTPUT]->attr.size[i] = p->output_attr.size[i];
                  }
              }
          }
          else
          {
              VSILOGE("output dim num cannot be zero!(PRE_PROCESS_RGB)\n");
              return FALSE;
          }
      }
  
  
      self->nn_param.pre_process_rgb.local.enable_perm = FALSE;
  
      if (self->nn_param.pre_process_rgb.local.enable_perm == FALSE)
      {
          p->local.scale_x = (int32_t)((p->rect.width << 15) / outputs[PRE_PROCESS_RGB_OUTPUT]->attr.size[0]);
          p->local.scale_y = (int32_t)((p->rect.height << 15) / outputs[PRE_PROCESS_RGB_OUTPUT]->attr.size[1]);
      }
      else
      {
          p->local.scale_x = (int32_t)((p->rect.width << 15) / outputs[PRE_PROCESS_RGB_OUTPUT]->attr.size[1]);
          p->local.scale_y = (int32_t)((p->rect.height << 15) / outputs[PRE_PROCESS_RGB_OUTPUT]->attr.size[2]);
      }
  
      p->local.enable_copy = ((p->local.scale_x == p->local.scale_y) && (p->local.scale_x == (1 << 15)));
  
      return TRUE;
  } /* op_setup() */
  
  static vsi_status op_deinit
      (
      vsi_nn_node_t * self
      )
  {
      if (self->nn_param.pre_process_rgb.local.local_tensor != NULL)
      {
          vxReleaseTensor(&self->nn_param.pre_process_rgb.local.local_tensor);
          self->nn_param.pre_process_rgb.local.local_tensor = NULL;
      }
  
      vsi_nn_op_common_deinit(self);
  
      return VSI_SUCCESS;
  } /* op_deinit() */
  
  
  #ifdef __cplusplus
  extern "C" {
  #endif
  /* Registrar */
  DEF_OP_REG
      (
      /* op_name    */ PRE_PROCESS_RGB,
      /* init       */ NULL,
      /* compute    */ op_compute,
      /* deinit     */ op_deinit,
      /* check      */ op_check,
      /* setup      */ op_setup,
      /* optimize   */ NULL,
      /* input_num  */ _INPUT_NUM,
      /* output_num */ _OUTPUT_NUM
      );
  #ifdef __cplusplus
  }
  #endif
  