class_docstr: LinearOperator that wraps a [batch] matrix and implements matmul/solve.
class_docstr_tok: ["LinearOperator","that","wraps","a","[","batch","]","matrix","and","implements","matmul\/solve","."]
code: def _shape_tensor(self):
      return array_ops.shape(self._matrix)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LinearOperatorMatmulSolve obj's underlying member method code with example usage: obj._shape_tensor() and returns: array_ops