Search help

Note: Searching from the top-level index page will search all documents. Searching from a specific document will search only that document.

Find an exact phrase: Wrap your search phrase in "" (double quotes) to only get results where the phrase is exactly matched. For example "PyTorch for the IPU" or "replicated tensor sharding"

Prefix query: Add an * (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*

Fuzzy search: Use ~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

Words close to each other: ~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

Logical operators. You can use the following logical operators in a search:

+ signifies AND operation
| signifies OR operation
- negates a single word or phrase (returns results without that word or phrase)
() controls operator precedence

PyTorch

User guides, API references and technical notes for PyTorch on the IPU and PyTorch Geometric on the IPU

User guides

PyTorch for the IPU: User Guide

User guide and API reference for PyTorch on the IPU

PyTorch Geometric for the IPU: User Guide

User guide and API reference for PyTorch Geometric on the IPU

PyTorch technical notes

Memory and Performance Optimisation on the IPU

Optimising high-performance machine learning models running on the IPU

Creating Custom Operations for the IPU

An overview of the steps for implementing a custom op in each of the frameworks available in the Poplar SDK

Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU

Using the “available memory proportion” option to optimise memory use or performance