code: def dot(
      a: paddle.Tensor,
      b: paddle.Tensor,
      /,
      *,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      if len(a.shape) == 0 or len(b.shape) == 0:
          return paddle.multiply(a, b)
      if (
          len(a.shape) in [1, 2]
          and len(b.shape) in [1, 2]
          or (len(a.shape) >= 1 and len(b.shape) == 1)
      ):
          return paddle.matmul(a, b)
  
      return paddle.tensordot(a, b, axes=[[-1], [-2]])
  
file_path: ivy/ivy/functional/backends/paddle/experimental/linear_algebra.py
imports: import paddle
  from typing import Optional, Tuple, Union, Any
  from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_supported_device_and_dtypes
  from ivy.utils.exceptions import IvyNotImplementedException
  from ..None import backend_version
label_desc: Use image node_id 10 for calling a global function with example usage: dot() and returns: paddle, paddle, paddle