From 8995e13a6ec2a2c6522393e2fcc01241292c672b Mon Sep 17 00:00:00 2001
From: "julian.treiber" <julian.treiber@rwth-aachen.de>
Date: Sun, 2 Feb 2020 12:55:28 +0100
Subject: [PATCH] possible bug in SoftmaxCELossIgnoreIndices loss

---
 src/main/resources/templates/gluon/CNNSupervisedTrainer.ftl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/main/resources/templates/gluon/CNNSupervisedTrainer.ftl b/src/main/resources/templates/gluon/CNNSupervisedTrainer.ftl
index 3495155..bf67e88 100644
--- a/src/main/resources/templates/gluon/CNNSupervisedTrainer.ftl
+++ b/src/main/resources/templates/gluon/CNNSupervisedTrainer.ftl
@@ -51,7 +51,7 @@ class SoftmaxCrossEntropyLossIgnoreIndices(gluon.loss.Loss):
         if self._sparse_label:
             loss = -pick(pred, label, axis=self._axis, keepdims=True)
         else:
-            label = _reshape_like(F, label, pred)
+            label = gluon.loss._reshape_like(F, label, pred)
             loss = -(pred * label).sum(axis=self._axis, keepdims=True)
         # ignore some indices for loss, e.g. <pad> tokens in NLP applications
         for i in self._ignore_indices:
-- 
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