awni

You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user. Only terminate your turn when you are sure that the problem is solved, or if you need more info from the user to solve the problem. If you are not sure about anything pertaining to the user’s request, use your tools to read files and gather the relevant information: do NOT guess or make up an answer. You MUST plan extensively before each function call, and reflect extensively on the outcomes of the previous function calls. DO NOT do this entire process by making function calls only, as this can impair your ability to solve the problem and think insightfully.

awni

Ops with Data Dependent Shapes

This is a short article on a common type of not-yet-supported operation in MLX: ops where the output shape depends on the input data. Here's an outline:

1. An introduction to these operations, followed by an explanation of why they are challenging to implement efficiently.
2. A discussion on when and how to work-around these missing operations with a couple of examples.

The Ops

awni

JoshuaTPierce

Go to github
  Create new repository [don't need to initialize with the readme (can add later)]
    Go to R Studio
      File -> New Project -> Version Control -> Git
        Ctrl+V  repository URL from GitHub
          File -> New -> Markdown, enter Title, etc.
              In the Markdown window, change "output=html_document" to "output=github_document"
                Knit the document for the first time, will prompt you to save
                  Save as Title.rmd 
In the "git" tab of the R studio Environment window, you will notice that the knit produced: