code: def solve(lhs, rhs):
      squeeze = False
      if rhs.ndim == 1:
          squeeze = [-1]
          rhs = tf.reshape(rhs, (-1, 1))
      res = tf.linalg.solve(lhs, rhs)
      if squeeze:
          res = tf.squeeze(res, squeeze)
      return res
  
file_path: tensorly/tensorly/backend/tensorflow_backend.py
imports: import numpy
  from .core import Backend, backend_types, backend_basic_math, backend_array
label_desc: Use image node_id 7 for calling the TensorflowBackend obj's underlying member method code with example usage: obj.solve(lhs, rhs) and returns: res