tflchef::TFliteOpDepthwiseConv2D Class Reference

tflchef operator builder for DepthwiseConv2D More...

#include <DepthwiseConv2D.h>

Collaboration diagram for tflchef::TFliteOpDepthwiseConv2D:

Public Member Functions
void	filler (const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
tflchef::Operation *	build (RecipeChefContext *ctx) const override
Public Member Functions inherited from tflchef::TFliteOpChef
virtual	~TFliteOpChef ()

Detailed Description

tflchef operator builder for DepthwiseConv2D

Definition at line 28 of file DepthwiseConv2D.h.

Member Function Documentation

build()

tflchef::Operation * tflchef::TFliteOpDepthwiseConv2D::build ( RecipeChefContext *  ctx ) const

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 37 of file DepthwiseConv2D.cpp.

{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  auto op_params = op->builtin_options_as_DepthwiseConv2DOptions();
  assert(op_params != nullptr);
 
  operation->set_type("DepthwiseConv2D");
 
  auto op_options = operation->mutable_depthwiseconv2d_options();
 
  op_options->set_activation(as_tflchef_activation(op_params->fused_activation_function()));
  op_options->set_stride_h(op_params->stride_h());
  op_options->set_stride_w(op_params->stride_w());
  op_options->set_depth_multiplier(op_params->depth_multiplier());
  op_options->set_dilation_w_factor(op_params->dilation_w_factor());
  op_options->set_dilation_h_factor(op_params->dilation_h_factor());
  op_options->set_padding(as_tflchef_padding(op_params->padding()));
 
  return operation;
}

References tflchef::as_tflchef_activation(), tflchef::as_tflchef_padding(), tflchef::RecipeChefContext::chefop, and tflchef::RecipeChefContext::tflop.

filler()

void tflchef::TFliteOpDepthwiseConv2D::filler ( const tflite::Operator *  op, TFliteImport *  import, tflchef::ModelRecipe *  model_recipe  ) const

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 24 of file DepthwiseConv2D.cpp.

{
  const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
 
  bool hasBias = (inputs.size() == 3);
  assert(inputs.size() == 2 || hasBias);
 
  import->set_tensor_filler(inputs.at(1)); // kernel
  if (hasBias)
    import->set_tensor_filler(inputs.at(2)); // bias
}

References tflchef::as_index_vector().

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The documentation for this class was generated from the following files:

• compiler/tflchef/tflite/src/Op/include/DepthwiseConv2D.h
• compiler/tflchef/tflite/src/Op/DepthwiseConv2D.cpp