tflchef::TFliteOpTransposeConv Class Reference

tflchef operator builder for TransposeConv More...

#include <TransposeConv.h>

Collaboration diagram for tflchef::TFliteOpTransposeConv:

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 TransposeConv

Definition at line 28 of file TransposeConv.h.

Member Function Documentation

build()

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

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 44 of file TransposeConv.cpp.

{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  auto op_params = op->builtin_options_as_TransposeConvOptions();
 
  assert(op_params != nullptr);
 
  operation->set_type("TransposeConv");
 
  auto op_options = operation->mutable_transpose_conv_options();
  auto tflchef_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_padding(as_tflchef_padding(op_params->padding()));
  op_options->set_activation(tflchef_activation);
 
  return operation;
}

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

filler()

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

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 24 of file TransposeConv.cpp.

{
  const auto &inputs = *op->inputs();
 
  const tflite::Tensor *tensor = import->tensors()->Get(inputs[0]);
  assert(tensor->type() == tflite::TensorType::TensorType_INT32);
  const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
 
  if (buffer && buffer->data())
  {
    auto vec = extract_buffer<int32_t>(buffer);
    import->set_tensor_filler(inputs[0], vec);
  }
 
  // filter
  const tflite::Tensor *filter_tensor = import->tensors()->Get(inputs[1]);
  import->set_tensor_filler(inputs[1]);
}

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

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