code: def testSliceAllRows(self):
      with self.session():
          sp_input = self._SparseTensor_4x6()
          sp_tensor0 = sparse_ops.sparse_slice(sp_input, [0, 0], [1, 6])
          sp_tensor1 = sparse_ops.sparse_slice(sp_input, [1, 0], [1, 6])
          sp_tensor2 = sparse_ops.sparse_slice(sp_input, [2, 0], [1, 7])
          sp_tensor3 = sparse_ops.sparse_slice(sp_input, [3, 0], [2, 7])
          self.assertAllEqual(
              sp_tensor0.indices, [[0, 0], [0, 2], [0, 4], [0, 5]]
          )
          self.assertAllEqual(sp_tensor0.values, [0, 2, 4, 5])
          self.assertAllEqual(sp_tensor0.dense_shape, [1, 6])
          self.assertAllEqual(
              sp_tensor1.indices, [[0, 1], [0, 3], [0, 4]]
          )
          self.assertAllEqual(sp_tensor1.values, [11, 13, 14])
          self.assertAllEqual(sp_tensor1.dense_shape, [1, 6])
          self.assertAllEqual(
              sp_tensor2.indices, [[0, 0], [0, 3], [0, 5]]
          )
          self.assertAllEqual(sp_tensor2.values, [20, 23, 25])
          self.assertAllEqual(sp_tensor2.dense_shape, [1, 6])
          self.assertAllEqual(
              sp_tensor3.indices, [[0, 0], [0, 2], [0, 3], [0, 5]]
          )
          self.assertAllEqual(sp_tensor3.values, [30, 32, 33, 35])
          self.assertAllEqual(sp_tensor3.dense_shape, [1, 6])
  
imports: import numpy
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import sparse_ops
  import tensorflow.python.ops.sparse_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testSliceAllRows() without return types