code: def test_generic_to_dense_method_non_square_matrix_static(self):
      matrix = rng.randn(2, 3, 4)
      operator = LinearOperatorMatmulSolve(matrix)
      with self.cached_session():
          operator_dense = operator.to_dense()
          self.assertAllEqual((2, 3, 4), operator_dense.shape)
          self.assertAllClose(matrix, self.evaluate(operator_dense))
  
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 5 for calling the LinearOperatorTest obj's underlying member method code with example usage: obj.test_generic_to_dense_method_non_square_matrix_static() without return types