code: def exp2(x, out=None, where=None, **kwargs):
      """
      Calculate `2**p` for all `p` in the input tensor.
  
      Parameters
      ----------
      x : array_like
          Input values.
      out : Tensor, None, or tuple of tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      out : Tensor
          Element-wise 2 to the power `x`.
  
      See Also
      --------
      power
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.exp2([2, 3]).execute()
      array([ 4.,  8.])
      """
      op = TensorExp2(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/exp2.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorUnaryOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: exp2(x, out, where) and returns: op