class_docstr: A `tf.linalg.LinearOperator` representing a kernel covariance matrix.
class_docstr_tok: ["A","`","tf.linalg.LinearOperator","`","representing","a","kernel","covariance","matrix","."]
code: def _shape(self):
      x1, x2, axis, kernel = self._x1_x2_axis_kernel()
      return functools.reduce(
          tf.broadcast_static_shape,
          (kernel.batch_shape, x1.shape[:axis], x2.shape[:axis]),
      ).concatenate([x1.shape[axis], x2.shape[axis]])
  
imports: import functools
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow.python.ops import control_flow_util
label_desc: Use image node_id 10 for calling the LinearOperatorPSDKernel obj's underlying member method code with example usage: obj._shape() and returns: functools