roywei opened a new issue #13243: CPP examples training acc does not increase URL: https://github.com/apache/incubator-mxnet/issues/13243 ## Description I found this problem in PR: https://github.com/apache/incubator-mxnet/pull/13185 Following examples here: https://github.com/apache/incubator-mxnet/tree/master/cpp-package/example During traing, the acc actually does not change at all. Right now affected models: 1. inception-bn 2. resnet will continue to check other models ## Error Message: ``` [02:17:51] src/io/iter_mnist.cc:110: MNISTIter: load 60000 images, shuffle=1, shape=(50,784) [02:17:52] src/io/iter_mnist.cc:110: MNISTIter: load 10000 images, shuffle=1, shape=(50,784) [02:17:52] resnet.cpp:199: Epoch: 0 [02:18:06] resnet.cpp:219: Train Accuracy: 0.0987167 [02:18:08] resnet.cpp:230: Validation Accuracy: 0.098 [02:18:08] resnet.cpp:199: Epoch: 1 [02:18:22] resnet.cpp:219: Train Accuracy: 0.0987167 [02:18:24] resnet.cpp:230: Validation Accuracy: 0.098 [02:18:24] resnet.cpp:199: Epoch: 2 [02:18:38] resnet.cpp:219: Train Accuracy: 0.0987167 [02:18:40] resnet.cpp:230: Validation Accuracy: 0.098 [02:18:40] resnet.cpp:199: Epoch: 3 [02:18:54] resnet.cpp:219: Train Accuracy: 0.0987167 [02:18:56] resnet.cpp:230: Validation Accuracy: 0.098 ``` ## Minimum reproducible example (If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.) ## Steps to reproduce follow: https://github.com/apache/incubator-mxnet/tree/master/cpp-package/example run ``` ./resnet ``` ## What have you tried to solve it? 1. changing learning rate and weight decay does not help. 2. changed to `sgd` optimizer instead of deprecated `ccsgd` does not help. 3. used same setup in python version, python works fine acc increased every epoch, cpp does not.
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