What is TensorBoard profile?
Use the TensorFlow Profiler to profile model training performance. The TensorFlow Profiler is embedded within TensorBoard. The Trace Viewer shows you a timeline of the different events that occured on the CPU and the GPU during the profiling period. The Trace Viewer shows multiple event groups on the vertical axis.
What is TensorFlow profiler?
TensorFlow Profiler The profiler includes a suite of tools. These tools help you understand, debug and optimize TensorFlow programs to run on CPUs, GPUs and TPUs.
How do TensorFlow datasets work?
In order to use a Dataset we need three steps:
- Importing Data. Create a Dataset instance from some data.
- Create an Iterator. By using the created dataset to make an Iterator instance to iterate through the dataset.
- Consuming Data. By using the created iterator we can get the elements from the dataset to feed the model.
What can you do with the TensorFlow profiler?
The profiler includes a suite of tools. These tools help you understand, debug and optimize TensorFlow programs to run on CPUs, GPUs and TPUs. First time user? Come and check out this Colab Demo. Note: The TensorFlow Profiler requires access to the Internet to load the Google Chart library .
How does the trace viewer work in TensorFlow?
This tool displays a timeline that shows the duration of ops executed by your TensorFlow program and allows you to identify which ops take the longest to execute. For more information on the trace viewer, check out this section of the TF Profiler guide.
Which is an additional measure of performance in TensorFlow?
An additional measure of performance is the number of batches required until the training converges. This is also out of the scope of this blog. In short, if you are trying to figure out why your training is running slowly, you have come to the right place.
How to analyze TF Data with the TF profiler?
Instructions on how to do so are available for CPUs/GPUs and Cloud TPUs. The analysis workflow detailed below focuses on the trace viewer tool in the Profiler. This tool displays a timeline that shows the duration of ops executed by your TensorFlow program and allows you to identify which ops take the longest to execute.