replaced data() by item() for newer pytorch versions

pytorch_widedeep/metrics.py

@@ -5,6 +5,8 @@ from .callbacks import Callback
 from .wdtypes import *
 
 
+import pdb
+
 class Metric(object):
 
     def reset(self):
@@ -58,9 +60,9 @@ class CategoricalAccuracy(Metric):
         self.total_count = 0
 
     def __call__(self, y_pred:Tensor, y_true:Tensor) -> np.ndarray:
-        top_k = y_pred.topk(self.top_k,1)[1]
+        top_k = (y_pred.topk(self.top_k,1)[1])
         true_k = y_true.view(len(y_true),1).expand_as(top_k)
-        self.correct_count += top_k.eq(true_k).float().sum().data[0]
+        self.correct_count += top_k.eq(true_k).float().sum().item()
         self.total_count += len(y_pred)
         accuracy = float(self.correct_count) / float(self.total_count)
         return np.round(accuracy, 4)