sxjscience commented on a change in pull request #17196:
URL: https://github.com/apache/incubator-mxnet/pull/17196#discussion_r461310396
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File path: python/mxnet/gluon/loss.py
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@@ -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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