Class: TensorStream::Tensor

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

Overview

Base class that defines a tensor like interface

Direct Known Subclasses

Constant, 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, i_var, int_type?, reduced_shape, shape_eval, shape_full_specified, shapes_fully_specified_and_equal

Methods included from TensorMixins

#!=, #%, #*, #**, #+, #-, #-@, #/, #<, #<=, #==, #>, #>=, #[], #and, #cast, #ceil, #dot, #floor, #log, #matmul, #reduce, #reshape, #round, #var, #zero?

Instance Attribute Details

#data_type ⇒ Object

Returns the value of attribute data_type.



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# File 'lib/tensor_stream/tensor.rb', line 11

def data_type
  @data_type
end

#given_name ⇒ Object

Returns the value of attribute given_name.



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# File 'lib/tensor_stream/tensor.rb', line 11

def given_name
  @given_name
end

#graph ⇒ Object (readonly)

Returns the value of attribute graph.



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# File 'lib/tensor_stream/tensor.rb', line 10

def graph
  @graph
end

#internal ⇒ Object

Returns the value of attribute internal.



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# File 'lib/tensor_stream/tensor.rb', line 11

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 11

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 11

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 11

def native_buffer
  @native_buffer
end

#op ⇒ Object

Returns the value of attribute op.



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# File 'lib/tensor_stream/tensor.rb', line 11

def op
  @op
end

#outputs ⇒ Object

Returns the value of attribute outputs.



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# File 'lib/tensor_stream/tensor.rb', line 11

def outputs
  @outputs
end

#rank ⇒ Object

Returns the value of attribute rank.



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# File 'lib/tensor_stream/tensor.rb', line 11

def rank
  @rank
end

#shape ⇒ Object

Returns the value of attribute shape.



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# File 'lib/tensor_stream/tensor.rb', line 11

def shape
  @shape
end

#source ⇒ Object

Returns the value of attribute source.



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# File 'lib/tensor_stream/tensor.rb', line 11

def source
  @source
end

#value ⇒ Object (readonly)

Returns the value of attribute value.



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# File 'lib/tensor_stream/tensor.rb', line 10

def value
  @value
end

Class Method Details

.cast_dtype(val, dtype) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 104

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, :float16, :float
    if !!val == val
      val ? 1.0 : 0.0
    else
      val.to_f
    end
  when :string
    val.to_s
  when :uint32, :int32, :uint64, :uint16, :int16, :int64, :uint8, :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 86

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 29

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

Instance Method Details

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



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# File 'lib/tensor_stream/tensor.rb', line 82

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 140

def breakpoint!(&_block)
  self
end

#collect(&block) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 39

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

#consumers ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 25

def consumers
  op.consumers
end

#device ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 35

def device
  @op.device
end

#dtype ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 21

def dtype
  @data_type
end

#eval(options = {}) ⇒ Object 



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

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

#first ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 68

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

#inspect ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 14

def inspect
end

#internal? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/tensor_stream/tensor.rb', line 17

def internal?
  !!@internal
end

#print!(message) ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 144

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

#to_a ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 60

def to_a
  @value
end

#to_f ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 64

def to_f
  @value
end

#to_h ⇒ Object 



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

def to_h
  {
  }
end

#to_i ⇒ Object 



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# File 'lib/tensor_stream/tensor.rb', line 56

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 72

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 43

def to_s
  @name
end