Class: Tensorflow::Eager::Operation

Inherits:
Object
  • Object
show all
Defined in:
lib/tensorflow/eager/operation.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(context, op_type, inputs, attrs) ⇒ Operation

Returns a new instance of Operation.

Raises:



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# File 'lib/tensorflow/eager/operation.rb', line 6

def initialize(context, op_type, inputs, attrs)
  @context = context
  @op_def = case op_type
              when Graph::Function
                op_type.function_def.signature
              else
                Tensorflow.op_def(op_type)
            end
  raise(Error::InvalidArgumentError, "Invalid op type: #{op_type}") unless @op_def

  @status = Status.new
  @pointer = FFI.TFE_NewOp(context, self.op_def.name, self.status)
  name = attrs.delete(:name) || op_type

  inputs = Array(inputs)
  @guessed_dtype = figure_dtype(attrs, inputs)

  setup_inputs(inputs, attrs)
  setup_attrs(attrs)
end

Instance Attribute Details

#context ⇒ Object (readonly)

Returns the value of attribute context.



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# File 'lib/tensorflow/eager/operation.rb', line 4

def context
  @context
end

#guessed_dtype ⇒ Object (readonly)

Returns the value of attribute guessed_dtype.



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# File 'lib/tensorflow/eager/operation.rb', line 4

def guessed_dtype
  @guessed_dtype
end

#op_def ⇒ Object (readonly)

Returns the value of attribute op_def.



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# File 'lib/tensorflow/eager/operation.rb', line 4

def op_def
  @op_def
end

#status ⇒ Object (readonly)

Returns the value of attribute status.



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# File 'lib/tensorflow/eager/operation.rb', line 4

def status
  @status
end

Instance Method Details

#add_input(value) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 199

def add_input(value)
  # Check to see if the operation has multiple outputs, and if it does, we need to pack them together
  # to fit into one input
  if value.is_a?(Array) && value.length > 1
    packed = Tensorflow.pack(value)
    FFI.TFE_OpAddInput(self, packed, self.status)
  else
    FFI.TFE_OpAddInput(self, value, self.status)
  end
  self.status.check
end

#add_input_list(values) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 211

def add_input_list(values)
  input_ptr = ::FFI::MemoryPointer.new(:pointer, values.length)
  input_ptr.write_array_of_pointer(values)
  FFI.TFE_OpAddInputList(self, input_ptr, values.length, self.status)
  self.status.check
end

#add_list_attr(type, attr_name, attr_value) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 73

def add_list_attr(type, attr_name, attr_value)
  num_values = attr_value.size

  case type
    when :int
      values = ::FFI::MemoryPointer.new(:int64, num_values)
      values.write_array_of_int64(attr_value)
      FFI.TFE_OpSetAttrIntList(self, attr_name, values, num_values)
    when :float
      values = ::FFI::MemoryPointer.new(:float, num_values)
      values.write_array_of_float(attr_value)
      FFI.TFE_OpSetAttrFloatList(self, attr_name, values, num_values)
    when :shape
      dims_pointer = ::FFI::MemoryPointer.new(:pointer, num_values)
      num_dims_pointer = ::FFI::MemoryPointer.new(:int32, num_values)
      attr_value.each_with_index do |shape, i|
        dim_pointer = ::FFI::MemoryPointer.new(:int64, shape.length)
        dim_pointer.write_array_of_int64(shape)
        dims_pointer.put_pointer(i * ::FFI.type_size(:pointer), dim_pointer)
        num_dims_pointer.put_int32(i * ::FFI.type_size(:int32), shape.length)
      end
      FFI.TFE_OpSetAttrShapeList(self, attr_name, dims_pointer, num_dims_pointer, num_values, self.status)
      self.status.check
    when :type
      values = ::FFI::MemoryPointer.new(:int, num_values)
      types =
          attr_value.map do |v|
            if v.is_a?(Symbol)
              FFI::DataType[v]
            else
              v
            end
          end
      values.write_array_of_int(types)
      FFI.TFE_OpSetAttrTypeList(self, attr_name, values, num_values)
    else
      raise "Unknown list type: #{type}"
  end
end

#add_scalar_attr(type, attr_name, attr_value) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 113

def add_scalar_attr(type, attr_name, attr_value)
  case type
    when :string
      FFI.TFE_OpSetAttrString(self, attr_name, attr_value, attr_value.bytesize)
    when :int
      FFI.TFE_OpSetAttrInt(self, attr_name, attr_value)
    when :float
      FFI.TFE_OpSetAttrFloat(self, attr_name, attr_value)
    when :bool
      FFI.TFE_OpSetAttrBool(self, attr_name, attr_value ? 1 : 0)
    when :type
      attr_value = FFI::DataType[attr_value] if attr_value.is_a?(Symbol)
      FFI.TFE_OpSetAttrType(self, attr_name, attr_value)
    when :shape
      ptr = ::FFI::MemoryPointer.new(:int64, attr_value.size)
      ptr.write_array_of_int64(attr_value)
      FFI.TFE_OpSetAttrShape(self, attr_name, ptr, attr_value.size, self.status)
    when :tensor
      attr_value = TensorHandle.from_value(self.context, attr_value)
      FFI.TFE_OpSetAttrTensor(self, attr_name, attr_value.tensor, self.status)
    # when :placeholder
    when :func
      case attr_value
        when Graph::Function
          FFI.TFE_OpSetAttrFunctionName(self, attr_name, attr_value.name, attr_value.name.length)
        when String
          FFI.TFE_OpSetAttrFunctionName(self, attr_name, attr_value, attr_value.length)
        else
          self.status.set(:tf_invalid_argument, "Invalid function attribute for attribute: #{attr_name}")
      end
    else
      self.status.set(:tf_unknown, "Unsupported attribute type: #{type}")
  end
  self.status.check
end

#check_input(arg_def, input, dtype) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 155

def check_input(arg_def, input, dtype)
  case input
    when Variable
      arg_def.type == :DT_RESOURCE ? input.handle : input.value_handle
    else
      TensorHandle.from_value(self.context, input, dtype: dtype)
  end
end

#dtype ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 31

def dtype
  list_ptr = ::FFI::MemoryPointer.new(:int)
  FFI.TFE_OpGetAttrType(self, 'dtype', list_ptr, self.status)
end

#figure_dtype(attrs, inputs) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 36

def figure_dtype(attrs, inputs)
  attr_def = self.op_def.attr.detect do |attr_def|
    attr_def.type == 'type'
  end

  result = attr_def ? attrs[attr_def.name.to_sym] : nil
  unless result
    inputs.each do |input|
      case input
        when Operation
          return input.output_types.first
        when Variable
          return input.dtype
      end
    end
  end
  result
end

#setup_attrs(attrs) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 55

def setup_attrs(attrs)
  attrs.each do |attr_name, attr_value|
    next unless attr_value

    attr_name = attr_name.to_s
    list_ptr = ::FFI::MemoryPointer.new(:int)
    type = FFI.TFE_OpGetAttrType(self, attr_name, list_ptr, self.status)
    self.status.check
    is_list = Boolean(list_ptr.read_int)

    if is_list
      add_list_attr(type, attr_name, attr_value)
    else
      add_scalar_attr(type, attr_name, attr_value)
    end
  end
end

#setup_input(index, value, attrs) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 164

def setup_input(index, value, attrs)
  if value.nil?
    self.status.set(:tf_invalid_argument, "Argument is unset. Index: #{index}")
    self.status.check
  end

  arg_def = self.op_def.input_arg[index]
  dtype = attrs[arg_def.type_attr.to_sym]

  # Value can be an operation with multiple outputs. For example calling PACK with an input operation of SPLIT
  checked_value = if (!arg_def.number_attr.empty? || !arg_def.type_list_attr.empty?)  && value.is_a?(Array)
                    value.map do |sub_value|
                      self.check_input(arg_def, sub_value, dtype)
                    end
                  else
                    self.check_input(arg_def, value, dtype)
                  end

  if !arg_def.type_list_attr.empty?
    # This input is a heterogeneous list
    self.add_input_list(checked_value)
  elsif !arg_def.number_attr.empty? && !arg_def.type_attr.empty?
    # This input is a homogeneous list
    self.add_input_list(checked_value)
  elsif !arg_def.number_attr.empty?
    # This is a list but we have to set it up one input at a time
    checked_value.each do |sub_checked_value|
      self.add_input(sub_checked_value)
    end
  else
    # This input is a single item
    self.add_input(checked_value)
  end
end

#setup_inputs(inputs, attrs) ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 149

def setup_inputs(inputs, attrs)
  inputs.each_with_index do |input, index|
    setup_input(index, input, attrs)
  end
end

#to_ptr ⇒ Object 



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# File 'lib/tensorflow/eager/operation.rb', line 27

def to_ptr
  @pointer
end