Update metric_for_tp_fp_samples.py

metric_for_tp_fp_samples.py

@@ -120,6 +120,7 @@ class metric_tp_fp_Datasets(evaluate.Metric):
 	def softmax_topk(self, logits, topk):
 		softmax = torch.softmax(logits, dim=-1)
 		predictions = softmax.topk(topk).indices.tolist()
+		print(predictions)        
 		return predictions
 	def threshold(self, logits, threshold):
 		predictions = []