Note: Searching from the top-level index page will search all documents. Searching from a specific document will search only that document.
"" (double quotes) to only get results where the phrase is exactly matched. For example "PyTorch for the IPU" or "replicated tensor sharding"* (asterisk) at the end of any word to indicate a prefix query. This will return results containing all words with the specific prefix. For example tensor*~N (tilde followed by a number) at the end of any word for a fuzzy search. This will return results that are similar to the search word. N specifies the “edit distance” (fuzziness) of the match. For example Polibs~1~N (tilde followed by a number) after a phrase (in quotes) returns results where the words are close to each other. N is the maximum number of positions allowed between matching words. For example "ipu version"~2+ signifies AND operation| signifies OR operation- negates a single word or phrase (returns results without that word or phrase)() controls operator precedenceThis guide describes how to get up and running with Graphcore IPUs on Paperspace. We show you how to train your first model, using one of our Hugging Face Optimum vision transformer (ViT) notebooks as an example. We also guide you through other features of Paperspace Gradient Notebooks so you can run more tutorials and start building your own models for the IPU.