Class: TensorStream::Operation

Inherits:
Tensor
  • Object
show all
Defined in:
lib/tensor_stream/operation.rb

Overview

TensorStream class that defines an operation

Direct Known Subclasses

ControlFlow

Instance Attribute Summary collapse

Attributes inherited from Tensor

#breakpoint, #consumers, #data_type, #given_name, #graph, #internal, #is_const, #native_buffer, #shape, #source, #value

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from Tensor

#!=, #*, #**, #+, #-, #-@, #/, #<, #<=, #==, #>, #>=, #[], #and, #auto_math, #breakpoint!, cast_dtype, #collect, detect_type, #dot, #dtype, #eval, #first, #internal?, #matmul, #print!, reset_counters, #to_a, #to_f, #to_i

Methods included from OpHelper

#_op, #cons, #dtype_eval, #format_source, #fp_type?, #i_cons, #i_op, #shape_eval, #val_to_dtype

Constructor Details

#initialize(operation, input_a, input_b, options = {}) ⇒ Operation

Returns a new instance of Operation.



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# File 'lib/tensor_stream/operation.rb', line 7

def initialize(operation, input_a, input_b, options = {})
  @graph = options[:graph] || TensorStream.get_default_graph

  @operation = operation
  @rank = options[:rank] || 0
  @name = [@graph.get_name_scope, options[:name] || set_name].compact.join('/')
  @internal = options[:internal]
  @given_name = @name
  @source = format_source(caller_locations)

  @options = options

  @items = [input_a, input_b].map { |i| options[:preserve_params_type] ? i : TensorStream.convert_to_tensor(i) }
  @data_type = set_data_type(options[:data_type])

  @shape = TensorShape.new(infer_shape)
  @graph.add_node(self)
end

Instance Attribute Details

#items ⇒ Object

Returns the value of attribute items.



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# File 'lib/tensor_stream/operation.rb', line 4

def items
  @items
end

#name ⇒ Object

Returns the value of attribute name.



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# File 'lib/tensor_stream/operation.rb', line 4

def name
  @name
end

#operation ⇒ Object

Returns the value of attribute operation.



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# File 'lib/tensor_stream/operation.rb', line 4

def operation
  @operation
end

#options ⇒ Object

Returns the value of attribute options.



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# File 'lib/tensor_stream/operation.rb', line 4

def options
  @options
end

#outputs ⇒ Object (readonly)

Returns the value of attribute outputs.



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# File 'lib/tensor_stream/operation.rb', line 5

def outputs
  @outputs
end

#rank ⇒ Object

Returns the value of attribute rank.



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# File 'lib/tensor_stream/operation.rb', line 4

def rank
  @rank
end

Class Method Details

.empty_matrix?(input) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/tensor_stream/operation.rb', line 38

def self.empty_matrix?(input)
  if input.is_a?(Array)
    input.each do |item|
      if item.is_a?(Array)
        return false unless empty_matrix?(item)
      elsif item != 0 || item != 0.0
        return false
      end
    end
  end

  true
end

Instance Method Details

#op ⇒ Object 



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# File 'lib/tensor_stream/operation.rb', line 187

def op
  self
end

#run ⇒ Object 



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# File 'lib/tensor_stream/operation.rb', line 183

def run
  eval
end

#set_data_type(passed_data_type) ⇒ Object 



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# File 'lib/tensor_stream/operation.rb', line 52

def set_data_type(passed_data_type)
  case operation
  when :greater, :less, :equal, :not_equal, :greater_equal, :less_equal
    :boolean
  when :shape, :rank
    :int32
  else
    return passed_data_type if passed_data_type
    if @items[0]
      @items[0].data_type
    elsif @items[1]
      @items[1].data_type
    else
      :unknown
    end
  end
end

#to_h ⇒ Object 



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# File 'lib/tensor_stream/operation.rb', line 30

def to_h
  {
    op: operation,
    name: name,
    operands: hashify_tensor(items)
  }
end

#to_math(name_only = false, max_depth = 99, _cur_depth = 0) ⇒ Object 



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# File 'lib/tensor_stream/operation.rb', line 70

def to_math(name_only = false, max_depth = 99, _cur_depth = 0)
  return @name if max_depth.zero?

  sub_item = auto_math(items[0], name_only, max_depth - 1, _cur_depth + 1)
  sub_item2 = auto_math(items[1], name_only, max_depth - 1, _cur_depth + 1) if items[1]

  out = case operation
  when :argmax
    "argmax(#{sub_item},#{options[:axis]})"
  when :negate
    "-#{sub_item}"
  when :index
    "#{sub_item}[#{sub_item2}]"
  when :slice
    "#{sub_item}[#{sub_item2}]"
  when :assign_sub
    "(#{items[0] ? items[0].name : 'self'} -= #{auto_math(items[1], name_only, 1)})"
  when :assign_add
    "(#{items[0] ? items[0].name : 'self'} += #{auto_math(items[1], name_only, 1)})"
  when :assign
    "(#{items[0] ? items[0].name : 'self'} = #{auto_math(items[1], name_only, 1)})"
  when :sin, :cos, :tanh
    "#{operation}(#{sub_item})"
  when :add
    "(#{sub_item} + #{sub_item2})"
  when :sub
    "(#{sub_item} - #{sub_item2})"
  when :pow
    "(#{sub_item}^#{sub_item2})"
  when :div
    "(#{sub_item} / #{sub_item2})"
  when :mul
    if auto_math(items[0]) == 1
      sub_item2
    elsif auto_math(items[1]) == 1
      sub_item
    else
      "(#{sub_item} * #{sub_item2})"
    end
  when :reduce_sum
    "reduce_sum(|#{sub_item}|)"
  when :reduce_mean
    "reduce_mean(|#{sub_item}|)"
  when :reduce_prod
    "reduce_prod(|#{sub_item}|)"
  when :gradients
    "gradient(#{sub_item})"
  when :stop_gradient
    sub_item
  when :matmul
    "#{sub_item}.matmul(#{sub_item2})"
  when :eye
    "eye(#{sub_item})"
  when :transpose
    "transpose(#{sub_item})"
  when :shape
    "#{sub_item}.shape"
  when :exp
    "e^#{sub_item})"
  when :ones
    "ones(#{sub_item})"
  when :ones_like
    "ones_like(#{sub_item})"
  when :flow_group
    "flow_group(#{items.collect { |i| auto_math(i) }.join(',')})"
  when :zeros
    "zeros(#{sub_item})"
  when :reshape
    "reshape(#{sub_item},#{sub_item2})"
  when :rank
    "#{sub_item}.rank"
  when :cond
    "(#{auto_math(options[:pred], name_only, max_depth - 1, _cur_depth)} ? #{sub_item} : #{sub_item2})"
  when :less
    "#{sub_item} < #{sub_item2}"
  when :less_equal
    "#{sub_item} <= #{sub_item2}"
  when :greater
    "#{sub_item} > #{sub_item2}"
  when :greater_equal
    "#{sub_item} >= #{sub_item2}"
  when :square
    "#{sub_item}\u00B2"
  when :log
    "log(#{sub_item})"
  when :identity
    "identity(#{sub_item})"
  when :print
    "print(#{sub_item})"
  when :pad
    "pad(#{sub_item},#{auto_math(options[:paddings])})"
  when :equal
    "#{sub_item} == #{sub_item2}"
  when :not_equal
    "#{sub_item} != #{sub_item2}"
  when :logical_and
    "#{sub_item} && #{sub_item2}"
  when :sqrt
    "sqrt(#{sub_item})"
  when :zeros_like
    "zeros_like(#{sub_item})"
  when :where
    "where(#{auto_math(options[:pred], name_only, max_depth - 1, _cur_depth)}, #{sub_item}, #{sub_item2})"
  when :max
    "max(#{sub_item},#{sub_item2})"
  when :cast
    "cast(#{sub_item}, #{data_type})"
  else
    raise "no math form for #{operation} defined"
  end
  ["\n",(_cur_depth + 1).times.collect { ' ' }, out].flatten.join
end

#to_s ⇒ Object 



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# File 'lib/tensor_stream/operation.rb', line 26

def to_s
  @name
end