code: def test_generic_to_dense_method_non_square_matrix_tensor(self):
      matrix = rng.randn(2, 3, 4)
      matrix_ph = array_ops.placeholder_with_default(
          input=matrix, shape=None
      )
      operator = LinearOperatorMatmulSolve(matrix_ph)
      operator_dense = operator.to_dense()
      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 6 for calling the LinearOperatorTest obj's underlying member method code with example usage: obj.test_generic_to_dense_method_non_square_matrix_tensor() without return types