Module: OnnxRuntime::Utils

Defined in:
lib/onnxruntime/utils.rb

Class Attribute Summary collapse

Class Method Summary collapse

Class Attribute Details

.mutex ⇒ Object

Returns the value of attribute mutex.



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# File 'lib/onnxruntime/utils.rb', line 4

def mutex
  @mutex
end

Class Method Details

.allocator ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 134

def self.allocator
  @allocator ||= begin
    allocator = ::FFI::MemoryPointer.new(:pointer)
    check_status api[:GetAllocatorWithDefaultOptions].call(allocator)
    allocator
  end
end

.api ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 16

def self.api
  FFI.api
end

.check_status(status) ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 8

def self.check_status(status)
  unless status.null?
    message = api[:GetErrorMessage].call(status).read_string
    api[:ReleaseStatus].call(status)
    raise Error, message
  end
end

.input_shape(input) ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 120

def self.input_shape(input)
  if numo_array?(input)
    input.shape
  else
    shape = []
    s = input
    while s.is_a?(Array)
      shape << s.size
      s = s.first
    end
    shape
  end
end

.node_info(typeinfo) ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 48

def self.node_info(typeinfo)
  onnx_type = ::FFI::MemoryPointer.new(:int)
  check_status api[:GetOnnxTypeFromTypeInfo].call(typeinfo.read_pointer, onnx_type)

  type = FFI::OnnxType[onnx_type.read_int]
  case type
  when :tensor
    tensor_info = ::FFI::MemoryPointer.new(:pointer)
    # don't free tensor_info
    check_status api[:CastTypeInfoToTensorInfo].call(typeinfo.read_pointer, tensor_info)

    type, shape = Utils.tensor_type_and_shape(tensor_info)
    {
      type: "tensor(#{FFI::TensorElementDataType[type]})",
      shape: shape
    }
  when :sequence
    sequence_type_info = ::FFI::MemoryPointer.new(:pointer)
    check_status api[:CastTypeInfoToSequenceTypeInfo].call(typeinfo.read_pointer, sequence_type_info)
    nested_type_info = ::FFI::MemoryPointer.new(:pointer)
    check_status api[:GetSequenceElementType].call(sequence_type_info.read_pointer, nested_type_info)
    v = node_info(nested_type_info)[:type]

    {
      type: "seq(#{v})",
      shape: []
    }
  when :map
    map_type_info = ::FFI::MemoryPointer.new(:pointer)
    check_status api[:CastTypeInfoToMapTypeInfo].call(typeinfo.read_pointer, map_type_info)

    # key
    key_type = ::FFI::MemoryPointer.new(:int)
    check_status api[:GetMapKeyType].call(map_type_info.read_pointer, key_type)
    k = FFI::TensorElementDataType[key_type.read_int]

    # value
    value_type_info = ::FFI::MemoryPointer.new(:pointer)
    check_status api[:GetMapValueType].call(map_type_info.read_pointer, value_type_info)
    v = node_info(value_type_info)[:type]

    {
      type: "map(#{k},#{v})",
      shape: []
    }
  else
    Utils.unsupported_type("ONNX", type)
  end
ensure
  release :TypeInfo, typeinfo
end

.numo_array?(obj) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/onnxruntime/utils.rb', line 100

def self.numo_array?(obj)
  defined?(Numo::NArray) && obj.is_a?(Numo::NArray)
end

.numo_types ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 104

def self.numo_types
  @numo_types ||= {
    float: Numo::SFloat,
    uint8: Numo::UInt8,
    int8: Numo::Int8,
    uint16: Numo::UInt16,
    int16: Numo::Int16,
    int32: Numo::Int32,
    int64: Numo::Int64,
    bool: Numo::UInt8,
    double: Numo::DFloat,
    uint32: Numo::UInt32,
    uint64: Numo::UInt64
  }
end

.release(type, pointer) ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 20

def self.release(type, pointer)
  FFI.api[:"Release#{type}"].call(pointer.read_pointer) if pointer && !pointer.null?
end

.tensor_type_and_shape(tensor_info) ⇒ Object 



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# File 'lib/onnxruntime/utils.rb', line 28

def self.tensor_type_and_shape(tensor_info)
  type = ::FFI::MemoryPointer.new(:int)
  check_status api[:GetTensorElementType].call(tensor_info.read_pointer, type)

  num_dims_ptr = ::FFI::MemoryPointer.new(:size_t)
  check_status api[:GetDimensionsCount].call(tensor_info.read_pointer, num_dims_ptr)
  num_dims = num_dims_ptr.read(:size_t)

  node_dims = ::FFI::MemoryPointer.new(:int64, num_dims)
  check_status api[:GetDimensions].call(tensor_info.read_pointer, node_dims, num_dims)
  dims = node_dims.read_array_of_int64(num_dims)

  symbolic_dims = ::FFI::MemoryPointer.new(:pointer, num_dims)
  check_status api[:GetSymbolicDimensions].call(tensor_info.read_pointer, symbolic_dims, num_dims)
  named_dims = num_dims.times.map { |i| symbolic_dims[i].read_pointer.read_string }
  dims = named_dims.zip(dims).map { |n, d| n.empty? ? d : n }

  [type.read_int, dims]
end

.unsupported_type(name, type) ⇒ Object

Raises:



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# File 'lib/onnxruntime/utils.rb', line 24

def self.unsupported_type(name, type)
  raise Error, "Unsupported #{name} type: #{type}"
end