code: def _knot_positions(bin_sizes, range_min):
      return _padded(
          tf.cumsum(bin_sizes, axis=-1) + range_min, lhs=range_min
      )
  
imports: import collections
  import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
label_desc: Use image node_id 3 for calling a global function with example usage: _knot_positions(bin_sizes, range_min) and returns: _padded