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.
Posted: 7/13/2017 5:31:13 PM
Tags: CodeDynamics, debugging, How-to, Python, TotalView, video