avoid per-batch blocking in metric (apache#9636)

rahul003 · Jan 31, 2018 · 3fe694e · 3fe694e
1 parent 60ae6d4
commit 3fe694e
Showing 1 changed file with 6 additions and 2 deletions.
diff --git a/python/mxnet/metric.py b/python/mxnet/metric.py
@@ -28,6 +28,7 @@
 from .base import numeric_types, string_types
 from . import ndarray
 from . import registry
+from .context import cpu
 
 
 def check_label_shapes(labels, preds, shape=0):
@@ -388,6 +389,7 @@ def update(self, labels, preds):
         """
         check_label_shapes(labels, preds)
 
+        results = []
         for label, pred_label in zip(labels, preds):
             if pred_label.shape != label.shape:
                 pred_label = ndarray.argmax(pred_label, axis=self.axis)
@@ -399,8 +401,10 @@ def update(self, labels, preds):
             if pred_label.context != label.context:
                 pred_label = pred_label.as_in_context(label.context)
 
-            self.sum_metric += (pred_label.reshape((-1,)) == label.reshape((-1,))).sum().asscalar()
-            self.num_inst += numpy.prod(pred_label.shape)
+            self.num_inst += pred_label.size
+            results.append((pred_label.reshape((-1,)) == label.reshape((-1,)))
+                           .sum().as_in_context(cpu()))
+        self.sum_metric += ndarray.add_n(*results).asscalar()
 
 
 @register