code: def dot(self, y, weights=None):
      """Compute a dot product between two tensors"""
      assert self.size() == y.size(), "Number of elements do not match"
      if weights is not None:
          assert (
              weights.size() == self.size()
          ), "Incorrect number of weights"
          result = self * weights
      else:
          result = self.clone()
  
      return result.mul(y).sum()
  
imports: import torch
  from ..common.tensor_types import is_tensor
  from ..common.util import torch_cat, torch_stack
label_desc: Use image node_id 12 for calling a global function with example usage: dot(y, weights) and returns: result