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C++ Training Test With Leak Detection

This CI task will inform users primarily about memory leaks.  To reduce output we are running a limited test, and are avoiding the use of python.  Currently this means we're running training and detection on a MNIST network based on MLPs.  To do this we're using an ASAN instrumented MXNet library and cpp package executable.  Failures for this CI task will be displayed in Jenkins logs, but will not fail the build.  The output is informational only, but could be used to help us bisect in the future (for example if we're investigating which commit may have introduced a new leak).

Example Output

Python Tests Without Leak Detection

This CI task runs a large suite of python tests, but ignores memory leaks to simplify the ASAN output.  The purpose of this CI test is to detect serious memory errors such as buffer overflows, and it will fail when such errors are detected.

Example Output

This test is currently disabled.

Using ASAN builds with MXNet

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