remove the inhibition here
@@ -54,11 +54,6 @@ class BiEncoderRankerAgent(TorchRankerAgent):
self.opt["type_optimization"],
self.opt["learningrate"])
- def receive_metrics(self, metrics_dict):
- """ Inibiting the scheduler.
- """
- pass
-
def make_candidate_vecs(self, cands):
cand_batches = [cands[i:i + 200] for i in range(0, len(cands), 200)]
print("[ Vectorizing fixed candidates set from ({} batch(es) of up to 200) ]"
