#include "nnfw.h"
#include <pybind11/stl.h>
#include <pybind11/numpy.h>

Data Structures
struct	tensorinfo
	tensor info describes the type and shape of tensors More...

class	NNFW_SESSION

Functions
void	ensure_status (NNFW_STATUS status)
	Handle errors with NNFW_STATUS in API functions.

NNFW_LAYOUT	getLayout (const char *layout="")

NNFW_TYPE	getType (const char *type="")

const char *	getStringType (NNFW_TYPE type)

uint64_t	num_elems (const nnfw_tensorinfo *tensor_info)
	Get the total number of elements in nnfw_tensorinfo->dims.

py::list	get_dims (const tensorinfo &tensor_info)
	Get nnfw_tensorinfo->dims.

void	set_dims (tensorinfo &tensor_info, const py::list &array)
	Set nnfw_tensorinfo->dims.

Function Documentation

◆ ensure_status()

void ensure_status ( NNFW_STATUS status )

Handle errors with NNFW_STATUS in API functions.

This only handles NNFW_STATUS errors.

Parameters

[in] status The status returned by API functions

Definition at line 21 of file nnfw_api_wrapper.cc.

{
  switch (status)
  {
    case NNFW_STATUS::NNFW_STATUS_NO_ERROR:
      break;
    case NNFW_STATUS::NNFW_STATUS_ERROR:
      std::cout << "[ERROR]\tNNFW_STATUS_ERROR\n";
      exit(1);
    case NNFW_STATUS::NNFW_STATUS_UNEXPECTED_NULL:
      std::cout << "[ERROR]\tNNFW_STATUS_UNEXPECTED_NULL\n";
      exit(1);
    case NNFW_STATUS::NNFW_STATUS_INVALID_STATE:
      std::cout << "[ERROR]\tNNFW_STATUS_INVALID_STATE\n";
      exit(1);
    case NNFW_STATUS::NNFW_STATUS_OUT_OF_MEMORY:
      std::cout << "[ERROR]\tNNFW_STATUS_OUT_OF_MEMORY\n";
      exit(1);
    case NNFW_STATUS::NNFW_STATUS_INSUFFICIENT_OUTPUT_SIZE:
      std::cout << "[ERROR]\tNNFW_STATUS_INSUFFICIENT_OUTPUT_SIZE\n";
      exit(1);
    case NNFW_STATUS::NNFW_STATUS_DEPRECATED_API:
      std::cout << "[ERROR]\tNNFW_STATUS_DEPRECATED_API\n";
      exit(1);
  }
}

References NNFW_STATUS_DEPRECATED_API, NNFW_STATUS_ERROR, NNFW_STATUS_INSUFFICIENT_OUTPUT_SIZE, NNFW_STATUS_INVALID_STATE, NNFW_STATUS_NO_ERROR, NNFW_STATUS_OUT_OF_MEMORY, and NNFW_STATUS_UNEXPECTED_NULL.

Referenced by NNFW_SESSION::close_session(), NNFW_SESSION::input_size(), NNFW_SESSION::input_tensorinfo(), NNFW_SESSION::NNFW_SESSION(), NNFW_SESSION::output_size(), NNFW_SESSION::output_tensorinfo(), NNFW_SESSION::run(), NNFW_SESSION::run_async(), NNFW_SESSION::set_input(), NNFW_SESSION::set_input_layout(), NNFW_SESSION::set_input_tensorinfo(), NNFW_SESSION::set_output(), NNFW_SESSION::set_output_layout(), and NNFW_SESSION::wait().

◆ get_dims()

py::list get_dims ( const tensorinfo & tensor_info )

Get nnfw_tensorinfo->dims.

This function is called to get dimension array of tensorinfo.

Parameters

[in] tensor_info Tensor info (shape, type, etc)

Returns: python list of dims

Definition at line 142 of file nnfw_api_wrapper.cc.

{
  py::list dims_list;
  for (int32_t i = 0; i < tensor_info.rank; ++i)
  {
    dims_list.append(tensor_info.dims[i]);
  }
  return dims_list;
}

References tensorinfo::dims, and tensorinfo::rank.

Referenced by PYBIND11_MODULE().

◆ getLayout()

NNFW_LAYOUT getLayout ( const char * layout = "" )

Convert the layout with string to NNFW_LAYOUT

Parameters

[in] layout layout to be converted

Returns: proper layout if exists

Definition at line 48 of file nnfw_api_wrapper.cc.

{
  if (!strcmp(layout, "NCHW"))
  {
    return NNFW_LAYOUT::NNFW_LAYOUT_CHANNELS_FIRST;
  }
  else if (!strcmp(layout, "NHWC"))
  {
    return NNFW_LAYOUT::NNFW_LAYOUT_CHANNELS_LAST;
  }
  else if (!strcmp(layout, "NONE"))
  {
    return NNFW_LAYOUT::NNFW_LAYOUT_NONE;
  }
  else
  {
    std::cout << "[ERROR]\tLAYOUT_TYPE\n";
    exit(1);
  }
}

References NNFW_LAYOUT_CHANNELS_FIRST, NNFW_LAYOUT_CHANNELS_LAST, and NNFW_LAYOUT_NONE.

Referenced by NNFW_SESSION::set_input_layout(), and NNFW_SESSION::set_output_layout().

◆ getStringType()

const char * getStringType ( NNFW_TYPE type )

Convert the type with NNFW_TYPE to string

Parameters

[in] type type to be converted

Returns: proper type

Definition at line 107 of file nnfw_api_wrapper.cc.

{
  switch (type)
  {
    case NNFW_TYPE::NNFW_TYPE_TENSOR_FLOAT32:
      return "float32";
    case NNFW_TYPE::NNFW_TYPE_TENSOR_INT32:
      return "int32";
    case NNFW_TYPE::NNFW_TYPE_TENSOR_QUANT8_ASYMM:
    case NNFW_TYPE::NNFW_TYPE_TENSOR_UINT8:
      return "uint8";
    case NNFW_TYPE::NNFW_TYPE_TENSOR_BOOL:
      return "bool";
    case NNFW_TYPE::NNFW_TYPE_TENSOR_INT64:
      return "int64";
    case NNFW_TYPE::NNFW_TYPE_TENSOR_QUANT8_ASYMM_SIGNED:
      return "int8";
    case NNFW_TYPE::NNFW_TYPE_TENSOR_QUANT16_SYMM_SIGNED:
      return "int16";
    default:
      std::cout << "[ERROR] NNFW_TYPE to String Failure\n";
      exit(1);
  }
}

References NNFW_TYPE_TENSOR_FLOAT32, and NNFW_TYPE_TENSOR_INT32.

Referenced by NNFW_SESSION::input_tensorinfo(), and NNFW_SESSION::output_tensorinfo().

◆ getType()

NNFW_TYPE getType ( const char * type = "" )

Convert the type with string to NNFW_TYPE

Parameters

[in] type type to be converted

Returns: proper type if exists

Definition at line 69 of file nnfw_api_wrapper.cc.

{
  if (!strcmp(type, "float32"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_FLOAT32;
  }
  else if (!strcmp(type, "int32"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_INT32;
  }
  else if (!strcmp(type, "uint8"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_UINT8;
    // return NNFW_TYPE::NNFW_TYPE_TENSOR_QUANT8_ASYMM;
  }
  else if (!strcmp(type, "bool"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_BOOL;
  }
  else if (!strcmp(type, "int64"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_INT64;
  }
  else if (!strcmp(type, "int8"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_QUANT8_ASYMM_SIGNED;
  }
  else if (!strcmp(type, "int16"))
  {
    return NNFW_TYPE::NNFW_TYPE_TENSOR_QUANT16_SYMM_SIGNED;
  }
  else
  {
    std::cout << "[ERROR] String to NNFW_TYPE Failure\n";
    exit(1);
  }
}

References NNFW_TYPE_TENSOR_FLOAT32, and NNFW_TYPE_TENSOR_INT32.

Referenced by mir_onnx::convertExpandV8(), mir::Operation::Output::getElementType(), mir::Operation::Output::getShape(), and NNFW_SESSION::set_input_tensorinfo().

◆ num_elems()

uint64_t num_elems ( const nnfw_tensorinfo * tensor_info )

Get the total number of elements in nnfw_tensorinfo->dims.

This function is called to set the size of the input, output array.

Parameters

[in] tensor_info Tensor info (shape, type, etc)

Returns: total number of elements

Definition at line 132 of file nnfw_api_wrapper.cc.

{
  uint64_t n = 1;
  for (int32_t i = 0; i < tensor_info->rank; ++i)
  {
    n *= tensor_info->dims[i];
  }
  return n;
}

References nnfw_tensorinfo::dims, and nnfw_tensorinfo::rank.

Referenced by circle_eval_diff::MAEPrinter::init(), circle_eval_diff::MSEPrinter::init(), circle_eval_diff::MAPEPrinter::init(), circle_eval_diff::TopKMatchPrinter::init(), main(), dalgona::Dalgona::runAnalysisWithRandomInput(), NNFW_SESSION::set_input(), and NNFW_SESSION::set_output().

◆ set_dims()

void set_dims	(	tensorinfo &	tensor_info,
		const py::list &	array
	)

Set nnfw_tensorinfo->dims.

This function is called to set dimension array of tensorinfo.

Parameters

[in]	tensor_info	Tensor info (shape, type, etc)
[in]	array	array to set dimension

Definition at line 152 of file nnfw_api_wrapper.cc.

{
  tensor_info.rank = py::len(array);
  for (int32_t i = 0; i < tensor_info.rank; ++i)
  {
    tensor_info.dims[i] = py::cast<int32_t>(array[i]);
  }
}

References tensorinfo::dims, and tensorinfo::rank.

Referenced by PYBIND11_MODULE().

Data Structures

Functions

Function Documentation

◆ ensure_status()

◆ get_dims()

◆ getLayout()

◆ getStringType()

◆ getType()

◆ num_elems()

◆ set_dims()