tflchef::TFliteOpOneHot Class Reference

tflchef operator builder for OneHot More...

#include <OneHot.h>

Collaboration diagram for tflchef::TFliteOpOneHot:

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 OneHot

Definition at line 28 of file OneHot.h.

Member Function Documentation

build()

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

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 70 of file OneHot.cpp.

{
  tflchef::Operation *operation = ctx->chefop;
  const tflite::Operator *op = ctx->tflop;
 
  auto op_params = op->builtin_options_as_OneHotOptions();
  assert(op_params != nullptr);
 
  operation->set_type("OneHot");
 
  auto op_options = operation->mutable_onehot_options();
 
  op_options->set_axis(op_params->axis());
 
  return operation;
}

References tflchef::RecipeChefContext::chefop, and tflchef::RecipeChefContext::tflop.

filler()

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

overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 23 of file OneHot.cpp.

{
  // only depth(second input) has constant on recipe cause depth value is used in shape inference.
  const auto &inputs = *op->inputs();
 
  const tflite::Tensor *tensor = import->tensors()->Get(inputs[1]);
  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[1], vec);
  }
 
  // on/off can be dtype of input/output. let's support INT32/FLOAT32 for now
  for (int32_t index = 2; index <= 3; ++index)
  {
    const tflite::Tensor *tensor = import->tensors()->Get(inputs[index]);
    const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
    if (buffer && buffer->data())
    {
      switch (tensor->type())
      {
        case tflite::TensorType::TensorType_INT32:
        {
          auto vec = extract_buffer<int32_t>(buffer);
          import->set_tensor_filler(inputs[index], vec);
          break;
        }
 
        case tflite::TensorType::TensorType_FLOAT32:
        {
          auto vec = extract_buffer<float>(buffer);
          import->set_tensor_filler(inputs[index], vec);
          break;
        }
 
        default:
          assert(false);
          break;
      }
    }
  }
}

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

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