!8740 Fix full batch error in field slice mode

From: @huangxinjing
Reviewed-by: @yao_yf,@stsuteng,@kisnwang
Signed-off-by: @stsuteng

model_zoo/official/recommend/wide_and_deep/src/metrics.py

@@ -18,9 +18,7 @@ Area under cure metric
 """
 
 from sklearn.metrics import roc_auc_score
-from mindspore import context
 from mindspore.nn.metrics import Metric
-from mindspore.communication.management import get_rank, get_group_size
 
 class AUCMetric(Metric):
     """
@@ -30,7 +28,6 @@ class AUCMetric(Metric):
     def __init__(self):
         super(AUCMetric, self).__init__()
         self.clear()
-        self.full_batch = context.get_auto_parallel_context("full_batch")
 
     def clear(self):
         """Clear the internal evaluation result."""
@@ -42,13 +39,7 @@ class AUCMetric(Metric):
         all_predict = inputs[1].asnumpy().flatten().tolist() # predict
         all_label = inputs[2].asnumpy().flatten().tolist() # label
         self.pred_probs.extend(all_predict)
-        if self.full_batch:
-            rank_id = get_rank()
-            group_size = get_group_size()
-            gap = len(all_label) // group_size
-            self.true_labels.extend(all_label[rank_id*gap: (rank_id+1)*gap])
-        else:
-            self.true_labels.extend(all_label)
+        self.true_labels.extend(all_label)
 
     def eval(self):
         if len(self.true_labels) != len(self.pred_probs):