code: def test_col_reduce_global_memory_with_weights(self, dtype):
      # num_rows * num_bins more than half of max shared memory.
      num_rows = 128
      num_cols = 27
      size = 1024
      self._test_bincount_col_count_with_weights(
          num_rows, num_cols, size, dtype
      )
  
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 12 for calling the BincountOpTest obj's underlying member method code with example usage: obj.test_col_reduce_global_memory_with_weights(dtype) without return types