Class: DNN::Layers::Mean

Inherits:
Layer
  • Object
show all
Includes:
LayerNode
Defined in:
lib/dnn/core/layers/math_layers.rb

Instance Attribute Summary collapse

Attributes inherited from Layer

#input_shape, #output_shape

Instance Method Summary collapse

Methods included from LayerNode

#forward

Methods inherited from Layer

#<<, #build, #built?, #call, call, #clean, #compute_output_shape, #forward, from_hash

Constructor Details

#initialize(axis: 0, keepdims: true) ⇒ Mean 



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# File 'lib/dnn/core/layers/math_layers.rb', line 234

def initialize(axis: 0, keepdims: true)
  super()
  @axis = axis
  @keepdims = keepdims
end

Instance Attribute Details

#axis ⇒ Object (readonly)

Returns the value of attribute axis.



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# File 'lib/dnn/core/layers/math_layers.rb', line 231

def axis
  @axis
end

#keepdims ⇒ Object (readonly)

Returns the value of attribute keepdims.



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# File 'lib/dnn/core/layers/math_layers.rb', line 232

def keepdims
  @keepdims
end

Instance Method Details

#backward_node(dy) ⇒ Object 



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# File 'lib/dnn/core/layers/math_layers.rb', line 251

def backward_node(dy)
  MathUtils.broadcast_to(dy, @x_shape) / @dim
end

#forward_node(x) ⇒ Object 



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# File 'lib/dnn/core/layers/math_layers.rb', line 240

def forward_node(x)
  @x_shape = x.shape
  if @axis
    @dim = x.shape[@axis]
    x.mean(axis: @axis, keepdims: true)
  else
    @dim = x.size
    x.mean
  end
end

#load_hash(hash) ⇒ Object 



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# File 'lib/dnn/core/layers/math_layers.rb', line 259

def load_hash(hash)
  initialize(axis: hash[:axis], keepdims: hash[:keepdims])
end

#to_hash ⇒ Object 



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# File 'lib/dnn/core/layers/math_layers.rb', line 255

def to_hash
  super(axis: @axis, keepdims: @keepdims)
end