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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/07/29 07:45:01 UTC

[GitHub] [incubator-mxnet] sxjscience commented on a change in pull request #17196: [NumPy] loss for np array

sxjscience commented on a change in pull request #17196:
URL: https://github.com/apache/incubator-mxnet/pull/17196#discussion_r461310396



##########
File path: python/mxnet/gluon/loss.py
##########
@@ -74,6 +74,26 @@ def _reshape_like(F, x, y):
     return F.reshape_like(x, y)
 
 
+def _batch_mean(F, loss, batch_axis):
+    """Return mean on the specified batch axis, not keeping the axis"""
+    if is_np_array():
+        axes = list(range(loss.ndim))

Review comment:
       Would this work for the hybridized case?




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