nikudyshko opened a new issue #12966: Strange behaviour/possible bug with mxnet::cpp::Symbol name argument URL: https://github.com/apache/incubator-mxnet/issues/12966 ## Description In a nutshell: network doesn't train if I change prefix in Symbol name argument from "w" and "b" (lines 38, 39 in example [mlp_cpu.cpp](https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/mlp_cpu.cpp)) to anything with length greater than 1 char (for example: to "ws"/"bs" or "qwe"/"rty") ## Environment info Windows 10 64-bit, Visual Studio 2017 Community Edition (ver. 15.8.4) MXnet built from source (ver. 1.3.0) with cmake (ver. 3.13.0) and VS2017 (ver. 15.8.4) I'm using cpp package ## Minimum reproducible example [mlp_cpu.cpp](https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/mlp_cpu.cpp) ## Steps to reproduce 1. Change lines 38, 39 to something like this: ` weights[i] = Symbol::Variable("ws" + std::to_string(i));` ` biases[i] = Symbol::Variable("bs" + std::to_string(i));` 2. Compile and run. ## What have you tried to solve it? 1. Temporary solution is simple - use only 1 char prefixes (actualy - there are 2 chars, because of string termination char) I think, that it somehow related to .InferArgsMap function, but that's not for sure. Probably, related to #8126
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