diff --git a/ignite/metrics/binary_accuracy.py b/ignite/metrics/binary_accuracy.py
index e64a86d53eca..94176584681c 100644
--- a/ignite/metrics/binary_accuracy.py
+++ b/ignite/metrics/binary_accuracy.py
@@ -11,7 +11,8 @@ class BinaryAccuracy(Metric):
     Calculates the binary accuracy.
 
     `update` must receive output of the form (y_pred, y).
-    `y_pred` must be in the following shape (batch_size, ...)
+    `y_pred` must be in the following shape (batch_size, ...) and it's
+        elements must be between 0 and 1.
     `y` must be in the following shape (batch_size, ...)
     """
     def reset(self):
@@ -20,7 +21,7 @@ def reset(self):
 
     def update(self, output):
         y_pred, y = output
-        correct = torch.eq(torch.round(y_pred).type(torch.LongTensor), y).view(-1)
+        correct = torch.eq(torch.round(y_pred).type(y.type()), y).view(-1)
         self._num_correct += torch.sum(correct)
         self._num_examples += correct.shape[0]