code: def test_col_reduce_basic(self):
      with test_util.use_gpu():
          v = self.evaluate(
              gen_math_ops.dense_bincount(
                  input=[[1, 2, 3], [0, 3, 2]], weights=[], size=4
              )
          )
      expected_out = [[0.0, 1.0, 1.0, 1.0], [1.0, 0.0, 1.0, 1.0]]
      self.assertAllEqual(expected_out, v)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bincount_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 8 for calling the BincountOpTest obj's underlying member method code with example usage: obj.test_col_reduce_basic() without return types