text: /*
  Copyright (c) 2017 Advanced Micro Devices, Inc. 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.
  */
  
  #include "kernels.h"
  struct ActivationLayerLocalData {
      NeuralNetworkCommonHandle * handle;
      miopenActivationMode_t mode;
      double activAlpha;
      double activBeta;
      double activPower;
      miopenTensorDescriptor_t inputDescriptor;
      miopenTensorDescriptor_t outputDescriptor;
      miopenActivationDescriptor_t activationDesc;
      cl_mem input_mem;
      cl_mem output_mem;
  };
  
  
  static vx_status VX_CALLBACK validateActivationLayer(vx_node node, const vx_reference parameters[], vx_uint32 num, vx_meta_format metas[])
  {
      // check scalar type
      vx_enum type;
      ERROR_CHECK_STATUS(vxQueryScalar((vx_scalar)parameters[1], VX_SCALAR_TYPE, &type, sizeof(type)));
      if (type != VX_TYPE_ENUM) return VX_ERROR_INVALID_TYPE;
      ERROR_CHECK_STATUS(vxQueryScalar((vx_scalar)parameters[2], VX_SCALAR_TYPE, &type, sizeof(type)));
      if (type != VX_TYPE_FLOAT32) return VX_ERROR_INVALID_TYPE;
      ERROR_CHECK_STATUS(vxQueryScalar((vx_scalar)parameters[3], VX_SCALAR_TYPE, &type, sizeof(type)));
      if (type != VX_TYPE_FLOAT32) return VX_ERROR_INVALID_TYPE;
  
      // check tensor dimensions
      vx_size num_dims;
      vx_size input_dims[4], output_dims[4];
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_NUMBER_OF_DIMS, &num_dims, sizeof(num_dims)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_DATA_TYPE, &type, sizeof(type)));
      if (num_dims != 4) return VX_ERROR_INVALID_DIMENSION;
      if (type != VX_TYPE_FLOAT32) return VX_ERROR_INVALID_TYPE;
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_DIMS, input_dims, sizeof(input_dims)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[4], VX_TENSOR_NUMBER_OF_DIMS, &num_dims, sizeof(num_dims)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[4], VX_TENSOR_DATA_TYPE, &type, sizeof(type)));
      if (num_dims != 4) return VX_ERROR_INVALID_DIMENSION;
      if (type != VX_TYPE_FLOAT32) return VX_ERROR_INVALID_TYPE;
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[4], VX_TENSOR_DIMS, output_dims, sizeof(output_dims)));
      if (output_dims[3] != input_dims[3]) return VX_ERROR_INVALID_DIMENSION;
      if (output_dims[2] != input_dims[2]) return VX_ERROR_INVALID_DIMENSION;
      if (output_dims[1] != input_dims[1]) return VX_ERROR_INVALID_DIMENSION;
      if (output_dims[0] != input_dims[0]) return VX_ERROR_INVALID_DIMENSION;
  
      // output tensor configuration
      type = VX_TYPE_FLOAT32;
      num_dims = 4;
      ERROR_CHECK_STATUS(vxSetMetaFormatAttribute(metas[4], VX_TENSOR_DATA_TYPE, &type, sizeof(type)));
      ERROR_CHECK_STATUS(vxSetMetaFormatAttribute(metas[4], VX_TENSOR_NUMBER_OF_DIMS, &num_dims, sizeof(num_dims)));
      ERROR_CHECK_STATUS(vxSetMetaFormatAttribute(metas[4], VX_TENSOR_DIMS, output_dims, sizeof(output_dims)));
      return VX_SUCCESS;
  }
  
  static vx_status VX_CALLBACK processActivationLayer(vx_node node, const vx_reference * parameters, vx_uint32 num)
  {
  
      ActivationLayerLocalData * data= NULL;
      ERROR_CHECK_STATUS(vxQueryNode(node, VX_NODE_LOCAL_DATA_PTR, &data, sizeof(data)));
      miopenHandle_t miopenHandle = data->handle->miopen_handle;
  
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_BUFFER_OPENCL, &data->input_mem, sizeof(data->input_mem)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[4], VX_TENSOR_BUFFER_OPENCL, &data->output_mem, sizeof(data->output_mem)));
  
      float alpha = 1.0f, beta = 0.0f;
      //miopen activation forward call.
      ERROR_CHECK_MIOPEN_STATUS((miopenActivationForward(miopenHandle, data->activationDesc, &alpha, data->inputDescriptor, data->input_mem, &beta, data->outputDescriptor, data->output_mem)));
  
      return VX_SUCCESS;
  }
  
  static vx_status VX_CALLBACK initializeActivationLayer(vx_node node, const vx_reference *parameters, vx_uint32 num)
  {
      ActivationLayerLocalData * data = new ActivationLayerLocalData;
      memset(data, 0, sizeof(*data));
      ERROR_CHECK_STATUS(createGraphHandle(node, &data->handle));
  
      //initializing input and output Descriptors.
      vx_size input_dims[4], output_dims[4];
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_DIMS, input_dims, sizeof(input_dims)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[4], VX_TENSOR_DIMS, output_dims, sizeof(output_dims)));
      ERROR_CHECK_MIOPEN_STATUS((miopenCreateTensorDescriptor(&data->inputDescriptor)));
      ERROR_CHECK_MIOPEN_STATUS((miopenCreateTensorDescriptor(&data->outputDescriptor)));
      ERROR_CHECK_MIOPEN_STATUS((miopenSet4dTensorDescriptor(data->inputDescriptor, miopenFloat, input_dims[3], input_dims[2], input_dims[1], input_dims[0])));
      ERROR_CHECK_MIOPEN_STATUS((miopenSet4dTensorDescriptor(data->outputDescriptor, miopenFloat, output_dims[3], output_dims[2], output_dims[1], output_dims[0])));
  
      //activation Function Type
      vx_nn_activation_function_e activationMode;
      ERROR_CHECK_STATUS(vxCopyScalar((vx_scalar)parameters[1], &activationMode, VX_READ_ONLY, VX_MEMORY_TYPE_HOST));
      if (activationMode == VX_NN_ACTIVATION_RELU) {
          data->mode = miopenActivationRELU;
      }
      else if (activationMode == VX_NN_ACTIVATION_ABS) {
          data->mode = miopenActivationABS;
      }
      else if (activationMode == VX_NN_ACTIVATION_LOGISTIC) {
          data->mode = miopenActivationLOGISTIC;
      }
      else if (activationMode == VX_NN_ACTIVATION_HYPERBOLIC_TAN) {
          data->mode = miopenActivationTANH;
      }
      else if (activationMode == VX_NN_ACTIVATION_SOFTRELU) {
          data->mode = miopenActivationSOFTRELU;
      }
      data->activAlpha = 1.0;
      data->activBeta = 0.0;
      data->activPower = 1.0;
  
      //activation Descriptor.
      ERROR_CHECK_MIOPEN_STATUS((miopenCreateActivationDescriptor(&data->activationDesc)));
      ERROR_CHECK_MIOPEN_STATUS((miopenSetActivationDescriptor(data->activationDesc, data->mode, data->activAlpha, data->activBeta, data->activPower)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[0], VX_TENSOR_BUFFER_OPENCL, &data->input_mem, sizeof(data->input_mem)));
      ERROR_CHECK_STATUS(vxQueryTensor((vx_tensor)parameters[4], VX_TENSOR_BUFFER_OPENCL, &data->output_mem, sizeof(data->output_mem)));
  
  #if ENABLE_DEBUG_PRINT_DIMS
      std::cout << "activation input " << input_dims[3] << " " << input_dims[2] << " " << input_dims[1] << " " << input_dims[0] << " ";
      std::cout << "output " << output_dims[3] << " " << output_dims[2] << " " << output_dims[1] << " " << output_dims[0] << std::endl;
  #endif
  
      ERROR_CHECK_STATUS(vxSetNodeAttribute(node, VX_NODE_LOCAL_DATA_PTR, &data, sizeof(data)));
      return VX_SUCCESS;
  }
  
  static vx_status VX_CALLBACK uninitializeActivationLayer(vx_node node, const vx_reference *parameters, vx_uint32 num)
  {
      ActivationLayerLocalData * data = NULL;
      ERROR_CHECK_STATUS(vxQueryNode(node, VX_NODE_LOCAL_DATA_PTR, &data, sizeof(data)));
      ERROR_CHECK_MIOPEN_STATUS(miopenDestroyActivationDescriptor(data->activationDesc));
      ERROR_CHECK_MIOPEN_STATUS(miopenDestroyTensorDescriptor(data->inputDescriptor));
      ERROR_CHECK_MIOPEN_STATUS(miopenDestroyTensorDescriptor(data->outputDescriptor));
      if (data) {
          ERROR_CHECK_STATUS(releaseGraphHandle(node, data->handle));
          delete data;
      }
      return VX_SUCCESS;
  }
  
  vx_status publishActivationLayer(vx_context context)
  {
      // add kernel to the context with callbacks
      vx_kernel kernel = vxAddUserKernel(context, "org.khronos.nn_extension.activation_layer", VX_KERNEL_ACTIVATION_LAYER, processActivationLayer, 5, validateActivationLayer, initializeActivationLayer, uninitializeActivationLayer);
      ERROR_CHECK_OBJECT(kernel);
  
      // enable OpenCL buffer access since the kernel_f callback uses OpenCL buffers instead of host accessible buffers
      vx_bool enableBufferAccess = vx_true_e;
      ERROR_CHECK_STATUS(vxSetKernelAttribute(kernel, VX_KERNEL_ATTRIBUTE_AMD_OPENCL_BUFFER_ACCESS_ENABLE, &enableBufferAccess, sizeof(enableBufferAccess)));
  
      // set kernel parameters
      ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 0, VX_INPUT, VX_TYPE_TENSOR, VX_PARAMETER_STATE_REQUIRED));
      ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 1, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
      ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 2, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
      ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 3, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
      ERROR_CHECK_STATUS(vxAddParameterToKernel(kernel, 4, VX_OUTPUT, VX_TYPE_TENSOR, VX_PARAMETER_STATE_REQUIRED));
  
      // finalize and release kernel object
      ERROR_CHECK_STATUS(vxFinalizeKernel(kernel));
      ERROR_CHECK_STATUS(vxReleaseKernel(&kernel));
  
      return VX_SUCCESS;
  }
  
  VX_API_ENTRY vx_node VX_API_CALL vxActivationLayer(vx_graph graph, vx_tensor inputs, vx_enum function, vx_float32 a, vx_float32 b, vx_tensor outputs)
  {
      vx_node node = NULL;
      vx_context context = vxGetContext((vx_reference)graph);
      if (vxGetStatus((vx_reference)context) == VX_SUCCESS) {
          vx_scalar s_function = vxCreateScalarWithSize(context, VX_TYPE_ENUM, &function, sizeof(function));
          vx_scalar s_a = vxCreateScalarWithSize(context, VX_TYPE_FLOAT32, &a, sizeof(a));
          vx_scalar s_b = vxCreateScalarWithSize(context, VX_TYPE_FLOAT32, &b, sizeof(b));
          if (vxGetStatus((vx_reference)s_function) == VX_SUCCESS &&
                  vxGetStatus((vx_reference)s_a) == VX_SUCCESS &&
                  vxGetStatus((vx_reference)s_b) == VX_SUCCESS)
          {
              vx_reference params[] = {
                  (vx_reference)inputs,
                  (vx_reference)s_function,
                  (vx_reference)s_a,
                  (vx_reference)s_b,
                  (vx_reference)outputs
              };
              node = createNode(graph, VX_KERNEL_ACTIVATION_LAYER, params, sizeof(params) / sizeof(params[0]));
              vxReleaseScalar(&s_function);
              vxReleaseScalar(&s_a);
              vxReleaseScalar(&s_b);
          }
      }
      return node;
  }
  