in datasets/MixedPrioritizedSampler.py [0:0]
def initialize(self, init_weight):
"""Initialize the tree."""
# Rescale the fixed_weights if it is not zero
if self.fixed_weights.sum() > 0 and init_weight > 0:
self.fixed_weights *= self.fixed_scale * init_weight * self.capacity \
/ self.fixed_weights.sum()
print('FixedWeights: {}'.format(self.fixed_weights.sum()))
self.update_whole(init_weight + self.fixed_weights)
self._initialized = True