code: def pow(self, p, **kwargs):
      """
      Computes an element-wise exponent `p` of a tensor, where `p` is an
      integer.
      """
      if isinstance(p, float) and int(p) == p:
          p = int(p)
  
      if not isinstance(p, int):
          raise TypeError(
              "pow must take an integer exponent. For non-integer powers, use"
              " pos_pow with positive-valued base."
          )
      if p < -1:
          return self.reciprocal().pow(-p)
      elif p == -1:
          return self.reciprocal()
      elif p == 0:
          # Note: This returns 0 ** 0 -> 1 when inputs have zeros.
          # This is consistent with PyTorch's pow function.
          return self.new(torch.ones_like(self.data))
      elif p == 1:
          return self.clone()
      elif p == 2:
          return self.square()
      elif p % 2 == 0:
          return self.square().pow(p // 2)
      else:
          x = self.square().mul_(self)
          return x.pow((p - 1) // 2)
  
imports: import crypten
  import torch
  from ..tensor_types import is_tensor
label_desc: Use image node_id 1 for calling a global function with example usage: pow(p) and returns: self, self, self, self, self, self, x