tflchef::TFliteOpUnidirectionalSequenceLSTM Class Reference

tflchef operator builder for UnidirectionalSequenceLSTM More...

#include <UnidirectionalSequenceLSTM.h>

Collaboration diagram for tflchef::TFliteOpUnidirectionalSequenceLSTM:

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 UnidirectionalSequenceLSTM

Definition at line 28 of file UnidirectionalSequenceLSTM.h.

Member Function Documentation

build()

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

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 44 of file UnidirectionalSequenceLSTM.cpp.

{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  auto op_params = op->builtin_options_as_UnidirectionalSequenceLSTMOptions();
  assert(op_params != nullptr);
 
  operation->set_type("UnidirectionalSequenceLSTM");
 
  auto op_options = operation->mutable_unidirectional_sequence_lstm_options();
 
  op_options->set_activation(as_tflchef_activation(op_params->fused_activation_function()));
  op_options->set_cell_clip(op_params->cell_clip());
  op_options->set_proj_clip(op_params->proj_clip());
  op_options->set_time_major(op_params->time_major());
  op_options->set_asymmetric_quantize_inputs(op_params->asymmetric_quantize_inputs());
 
  return operation;
}

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

filler()

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

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 25 of file UnidirectionalSequenceLSTM.cpp.

{
  const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
  assert(inputs.size() == 24);
 
  for (int32_t i = 0; i < inputs.size(); i++)
  {
    // Except for Input 0, 18 and 19.
    // Each Input mean Input[0](=Input Tensor), Input[18](=OutputState Tensor) and
    // Input[19](=CellState Tensor).
    // This could be updated from previous input or User Given data, so This could not be Const
    if (i == 0 || i == 18 || i == 19)
      continue;
    if (inputs[i] != -1)
      fill_tensor_to_import(inputs[i], import);
  }
}

References tflchef::as_index_vector(), and tflchef::fill_tensor_to_import().

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

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