Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in the text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "To use Amazon SageMaker Debugger, you must enhance Estimator with three additional configuration parameters: DebuggerHookConfig, Rules, and ProfilerConfig."

A block of code is set as follows:

#Feature group name
weather_feature_group_name_offline = 'weather-feature-group-offline' + strftime('%d-%H-%M-%S', gmtime())

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

@smp.step
def train_step(model, data, target):
       output = model(data)
       long_target = target.long()
       loss = F.nll_loss(output, long_target, reduction="mean")
       model.backward(loss)
       return output, loss
    return output, loss 

Any command-line input or output is written as follows:

$ git clone PacktPublishing/Intelligent-Workloads-at-the-Edge-

Bold: Indicates a new term, an important word, or words that you see on screen. For instance, words in menus or dialog boxes appear in bold. Here is an example: Keep in mind that when you use multiple instances in the training cluster, all instances should be in the same Availability Zone.

Tips or Important Notes

Appear like this.