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Deeplearning4j: Enhanced Stack Trace Feature Overview

libnd4j/dev-docs/FuncTraceAllocation.md

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Deeplearning4j: Enhanced Stack Trace Feature Overview

Introduction

For developers who are knee-deep in troubleshooting, understanding where a problem originated can be invaluable. In line with that, Deeplearning4j now introduces an advanced feature that provides an insightful fusion of Java and C++ stack traces. This is especially useful when debugging issues related to memory allocation and deallocation.

Feature: SD_GCC_FUNCTRACE

When you build Deeplearning4j with the SD_GCC_FUNCTRACE option turned on, it activates the ability to display C++ stack traces. This powerful feature, however, comes with a caveat: it requires numerous platform-specific dependencies to function seamlessly.

What's New?

When the aforementioned feature is active, developers can now enable a fresh capability that showcases both Java and C++ stack traces at every instance of memory allocation and deallocation in the Deeplearning4j codebase.

Here's the crux of this new feature:

  1. Allocation and Deallocation Triggers: The stack traces will be printed just as a buffer is about to be deallocated.
  2. Crash Insights: Typically, the last deallocation that took place will pinpoint the site of the crash.
  3. Full Problem Context: By analyzing Java and C++ stack traces side by side, developers can derive a comprehensive understanding of the issue at hand.
  4. Enhancement Over Sanitizers: This feature is a supplement to sanitizers, which occasionally falter in showing internal stack traces instead of the real underlying problem.

Enabling the Feature

Activating this feature is straightforward. Here's a snippet to do just that:

java
Nd4j.getEnvironment().setFuncTraceForAllocate(true);
Nd4j.getEnvironment().setFuncTraceForDeallocate(true);

With these lines of code:

  • The first line will enable the printing of stack traces during memory allocation.
  • The second line will do the same for deallocation.

Conclusion

By leveraging this new feature, developers can achieve a granular understanding of memory-related issues in Deeplearning4j's operations. This comprehensive insight into both Java and C++ realms will significantly streamline the debugging process and enhance code reliability.

Remember, while powerful, this feature can also be verbose. Hence, it's recommended to use it judiciously, primarily when deep troubleshooting is necessary.