code: def testSliceColumns(self):
      with self.session():
          sp_input = self._SparseTensor_4x6()
          sparse_tensor0 = sparse_ops.sparse_slice(
              sp_input, [0, 0], [4, 2]
          )
          sparse_tensor1 = sparse_ops.sparse_slice(
              sp_input, [0, 2], [5, 2]
          )
          sparse_tensor2 = sparse_ops.sparse_slice(
              sp_input, [0, 4], [5, 3]
          )
  
          self.assertAllEqual(
              sparse_tensor0.indices, [[0, 0], [1, 1], [2, 0], [3, 0]]
          )
          self.assertAllEqual(sparse_tensor0.values, [0, 11, 20, 30])
          self.assertAllEqual(sparse_tensor0.dense_shape, [4, 2])
          self.assertAllEqual(
              sparse_tensor1.indices,
              [[0, 0], [1, 1], [2, 1], [3, 0], [3, 1]],
          )
          self.assertAllEqual(
              sparse_tensor1.values, [2, 13, 23, 32, 33]
          )
          self.assertAllEqual(sparse_tensor1.dense_shape, [4, 2])
          self.assertAllEqual(
              sparse_tensor2.indices,
              [[0, 0], [0, 1], [1, 0], [2, 1], [3, 1]],
          )
          self.assertAllEqual(sparse_tensor2.values, [4, 5, 14, 25, 35])
          self.assertAllEqual(sparse_tensor2.dense_shape, [4, 2])
  
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 10 for calling the SparseSliceOpTest obj's underlying member method code with example usage: obj.testSliceColumns() without return types