Search Results for "time"

...In DEAD runs you’ll be able to replay a LIVE run from the database recording, which means that you can start at any point and travel in either direction and the value of the variables will be those that were current at that point of time in the LIVE run. Imagine your script crashed and you can replay from there backwards, and see how you got there and the values the variables had. Extra functionality will allow running queries forwards and backwards.

Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ...

Usually, coding a script involves writing the code and either debugging or running it several times, examining variables or output and fixing the code until the desired effect is achieved. With PyCodebug, you get to see the effects of the code during coding, which greatly reduces the time needed to write a script. ================================== Demo Video: http://youtu.be/a6nFo4y3kzo ================================== Requires: Python 2.7x PySide

CodeInvestigator is a tracing tool for Python programs. All the run time information is recorded. Read your code together with its run time details. Use it to visualize what happened when you program ran.