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How to debug machine learning call stacks

Python is a popular language for deep learning but debugging calls to existing C/C++ code in shared libraries can be extremely challenging. Untangling the confusing maze of library calls, data translations, and linked-in CUDA code can be convoluted and time consuming, as neither Python nor C/C++ debuggers provide a comprehensive view across the languages.

In this video, recorded at GPU Technology Conference 2017, we look at how Python-C/C++ transformations combined with a multithreaded, multiprocess debugger helps you understand what’s going on within your deep learning code.

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Reverse debugging on CodeDynamics with ReplayEngine

Join Rogue Wave senior director of product development, Bill Burns, as he highlights the dynamic analysis and debugging features of CodeDynamics in this video series.

In part 2, you will hear about the reverse debugging capabilities of CodeDynamics with ReplayEngine. ReplayEngine allows you step backwards and forwards in execution history, run backwards to breakpoints, and record files for later analysis. See a brief walk through of this unique feature that enables you to pinpoint and replay run-time issues for faster resolution.

Learn more about additional features of CodeDynamics in part 1 of this series – Introduction to CodeDynamics.
 

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