Class: TensorStream::Tensor

Inherits:
Object
  • Object
show all
Includes:
OpHelper
Defined in:
lib/tensor_stream/tensor.rb

Overview

Base class that defines a tensor like interface

Direct Known Subclasses

Operation, Placeholder, Variable

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from OpHelper

#_op, #cons, #format_source, #fp_type?, #i_cons, #i_op, #int_type?, #reduced_shape, #shape_eval, #shape_full_specified, #shapes_fully_specified_and_equal

Constructor Details

#initialize(data_type, rank, shape, options = {}) ⇒ Tensor

Returns a new instance of Tensor.



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# File 'lib/tensor_stream/tensor.rb', line 12

def initialize(data_type, rank, shape, options = {})
  setup_initial_state(options)
  @data_type = data_type
  @rank = rank
  @breakpoint = false
  @shape = TensorShape.new(shape, rank)
  @value = nil

  @is_const = options[:const] || false
  @internal = options[:internal]
  @name = [@graph.get_name_scope, options[:name] || build_name].compact.reject(&:empty?).join('/')
  @given_name = @name

  if options[:value]
    if options[:value].is_a?(Array)
      # check if single dimenstion array is passed
      options[:value] = reshape(options[:value], shape.reverse.dup) if shape.size >= 2 && !options[:value].empty? && !options[:value][0].is_a?(Array)

      @value = options[:value].collect do |v|
        v.is_a?(Tensor) ? Tensor.cast_dtype(v, @data_type) : v
      end
    elsif !shape.empty?
      @value = reshape(Tensor.cast_dtype(options[:value], @data_type), shape.dup)
    else
      @value = Tensor.cast_dtype(options[:value], @data_type)
    end
  end

  @graph.add_node(self)
end

Instance Attribute Details

#breakpoint ⇒ Object

Returns the value of attribute breakpoint.



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# File 'lib/tensor_stream/tensor.rb', line 8

def breakpoint
  @breakpoint
end

#consumers ⇒ Object

Returns the value of attribute consumers.



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# File 'lib/tensor_stream/tensor.rb', line 8

def consumers
  @consumers
end

#data_type ⇒ Object

Returns the value of attribute data_type.



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# File 'lib/tensor_stream/tensor.rb', line 8

def data_type
  @data_type
end

#device ⇒ Object

Returns the value of attribute device.



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# File 'lib/tensor_stream/tensor.rb', line 8

def device
  @device
end

#given_name ⇒ Object

Returns the value of attribute given_name.



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# File 'lib/tensor_stream/tensor.rb', line 8

def given_name
  @given_name
end

#graph ⇒ Object

Returns the value of attribute graph.



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# File 'lib/tensor_stream/tensor.rb', line 8

def graph
  @graph
end

#internal ⇒ Object

Returns the value of attribute internal.



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# File 'lib/tensor_stream/tensor.rb', line 8

def internal
  @internal
end

#is_const ⇒ Object

Returns the value of attribute is_const.



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# File 'lib/tensor_stream/tensor.rb', line 8

def is_const
  @is_const
end

#name ⇒ Object

Returns the value of attribute name.



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# File 'lib/tensor_stream/tensor.rb', line 8

def name
  @name
end

#native_buffer ⇒ Object

Returns the value of attribute native_buffer.



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# File 'lib/tensor_stream/tensor.rb', line 8

def native_buffer
  @native_buffer
end

#outputs ⇒ Object

Returns the value of attribute outputs.



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# File 'lib/tensor_stream/tensor.rb', line 8

def outputs
  @outputs
end

#rank ⇒ Object

Returns the value of attribute rank.



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# File 'lib/tensor_stream/tensor.rb', line 8

def rank
  @rank
end

#shape ⇒ Object

Returns the value of attribute shape.



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# File 'lib/tensor_stream/tensor.rb', line 8

def shape
  @shape
end

#source ⇒ Object

Returns the value of attribute source.



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# File 'lib/tensor_stream/tensor.rb', line 8

def source
  @source
end

#value ⇒ Object

Returns the value of attribute value.



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# File 'lib/tensor_stream/tensor.rb', line 8

def value
  @value
end

Class Method Details

.cast_dtype(val, dtype) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 242

def self.cast_dtype(val, dtype)
  return val if dtype.nil?
  return val if val.is_a?(Tensor)

  if val.is_a?(Array)
    return val.collect do |v|
      cast_dtype(v, dtype)
    end
  end

  dtype = dtype[:dtype] if dtype.is_a?(Hash)

  case dtype.to_sym
  when :float64, :float32, :float
    if !!val == val
      val ? 1.0 : 0.0
    else
      val.to_f
    end
  when :string
    val.to_s
  when :int32, :int16, :int
    if !!val == val
      val ? 1 : 0
    else
      val.to_i
    end
  when :boolean
    !!val
  when :unknown
    val
  else
    raise "unknown data_type #{dtype} passed"
  end
end

.detect_type(value) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 224

def self.detect_type(value)
  if !!value == value
    :boolean
  elsif value.is_a?(String)
    :string
  elsif value.is_a?(Float)
    :float32
  elsif value.is_a?(Integer)
    :int32
  elsif value.is_a?(Array)
    detect_type(value[0])
  elsif value.is_a?(Tensor)
    value.data_type
  else
    :float32
  end
end

.reset_counters ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 51

def self.reset_counters
  @const_counter = 0
  @var_counter = 0
  @placeholder_counter = 0
end

Instance Method Details

#!=(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 117

def !=(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:not_equal, self, other)
end

#%(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 90

def %(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:mod, self, TensorStream.convert_to_tensor(other, dtype: data_type))
end

#*(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 66

def *(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:mul, self, TensorStream.convert_to_tensor(other, dtype: data_type))
end

#**(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 71

def **(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:pow, self, TensorStream.convert_to_tensor(other, dtype: data_type))
end

#+(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 57

def +(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:add, self, other)
end

#-(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 81

def -(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:sub, self, TensorStream.convert_to_tensor(other, dtype: data_type))
end

#-@ ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 86

def -@
  _op(:negate, self, nil)
end

#/(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 76

def /(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:div, self, TensorStream.convert_to_tensor(other, dtype: data_type))
end

#<(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 112

def <(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:less, self, other)
end

#<=(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 132

def <=(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:less_equal, self, other)
end

#==(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 107

def ==(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:equal, self, other)
end

#>(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 122

def >(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:greater, self, other)
end

#>=(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 127

def >=(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:greater_equal, self, other)
end

#[](index) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 62

def [](index)
  _op(:index, self, index)
end

#and(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 137

def and(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:logical_and, self, other)
end

#auto_math(tensor, name_only = false, max_depth = 99, cur_depth = 0) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 220

def auto_math(tensor, name_only = false, max_depth = 99, cur_depth = 0)
  tensor.is_a?(Tensor) ? tensor.to_math(name_only, max_depth, cur_depth) : tensor
end

#breakpoint!(&_block) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 278

def breakpoint!(&_block)
  self
end

#ceil ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 99

def ceil
  TensorStream.ceil(self)
end

#collect(&block) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 168

def collect(&block)
  @value.collect(&block)
end

#dot(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 147

def dot(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:mat_mul, self, other)
end

#dtype ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 47

def dtype
  @data_type
end

#eval(options = {}) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 180

def eval(options = {})
  Session.default_session.run(self, options)
end

#first ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 206

def first
  _op(:index, self, 0)
end

#floor ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 95

def floor
  TensorStream.floor(self)
end

#internal? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/tensor_stream/tensor.rb', line 43

def internal?
  !!@internal
end

#matmul(other) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 142

def matmul(other)
  _a, other = TensorStream.check_data_types(self, other)
  _op(:mat_mul, self, other)
end

#op ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 176

def op
  is_const ? _op(:const, self, nil, name: name) : _op(:variable, self, nil, name: name)
end

#print!(message) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 282

def print!(message)
  _op(:print, self, self, message: message)
end

#reduce(op_type) ⇒ Object

Apply a reduction to tensor



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# File 'lib/tensor_stream/tensor.rb', line 154

def reduce(op_type)
  reduce_op = case op_type.to_sym
              when :+
                :sum
              when :*
                :prod
              else
                raise "unsupported reduce op type #{op_type}"
              end
  raise "blocks are not supported for tensors" if block_given?

  _op(reduce_op, self, nil)
end

#to_a ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 198

def to_a
  @value
end

#to_f ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 202

def to_f
  @value
end

#to_h ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 184

def to_h
  {
    name: @name,
    value: hashify_tensor(@value),
    dtype: @data_type,
    shape: @shape,
    const: !!is_const,
  }
end

#to_i ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 194

def to_i
  @value
end

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



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# File 'lib/tensor_stream/tensor.rb', line 210

def to_math(name_only = false, max_depth = 99, _unused = 0)
  return @name if max_depth.zero? || name_only || @value.nil?

  if @value.is_a?(Array)
    @value.collect { |v| v.is_a?(Tensor) ? v.to_math(name_only, max_depth - 1) : v }
  else
    is_const ? @value : @name
  end
end

#to_s ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 172

def to_s
  @name
end

#zero? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/tensor_stream/tensor.rb', line 103

def zero?
  _op(:equal, self, TensorStream.constant(0, dtype: data_type, name: 'equal/is_zero?'))
end