class_docstr: Generates an array with sequence of numbers.
  
  .. math::
      \mathbf x[i] = start + step * i
  
  Args:
      start (int): A start value.
      step (int): A step value.
  
  Example:
  
  .. code-block:: python
  
      import nnabla as nn
      import nnabla.initializer as I
  
      x = nn.Variable([100])
      x.d = I.RangeInitializer(0, 1)(x.shape)
code: def __call__(self, shape):
      a = np.arange(0, shape[-1], 1)
      return np.broadcast_to(self.start + a * self.step, shape)
  
imports: import numpy
  from .None import random
label_desc: Use image node_id 2 for calling the RangeInitializer obj's underlying member method code with example usage: obj.__call__(shape) and returns: np