code: def testBatchGradientUnknownSize(self):
      with self.cached_session():
          batch_size = constant_op.constant(3)
          matrix_size = constant_op.constant(4)
          batch_identity = array_ops.tile(
              array_ops.expand_dims(
                  array_ops.diag(array_ops.ones([matrix_size])), 0
              ),
              [batch_size, 1, 1],
          )
          determinants = linalg_ops.matrix_determinant(batch_identity)
          reduced = math_ops.reduce_sum(determinants)
          sum_grad = gradients_impl.gradients(reduced, batch_identity)[
              0
          ]
          self.assertAllClose(batch_identity, self.evaluate(sum_grad))
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the ShapeTest obj's underlying member method code with example usage: obj.testBatchGradientUnknownSize() without return types