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mepatrick73 d770b1f470
ONNX Tile operation (#2092) 
* renaming repeat to repeat_dim

* implementing repeat function

* renaming repeat files to repeat_dim

* renaming part 2

* renaming part 3

* renaming part 4

* renaming part 5

* adding test file

* adding unit test

* adding rust book documentation

* adding function args doc

* fixing tests

* changing repeat api to match pytorch equivalent

* fixing clippy error

* implementing tile onnx file

* temp

* working implementation and test

* working e2e test

* adding new supported onnx operation to the md file
 		2024-08-07 17:43:59 -04:00
..
onnx-tests ONNX Tile operation (#2092) 2024-08-07 17:43:59 -04:00
pytorch-tests Print module - implement module display for remaining modules (part2) (#1933) 2024-06-28 08:37:40 -04:00
src ONNX Tile operation (#2092) 2024-08-07 17:43:59 -04:00
Cargo.toml Separating ONNX parsing from burn-import (#1921) 2024-07-02 15:17:44 -05:00
DEVELOPMENT.md Add subtract tensor from scalar for ONNX sub op (#1964) 2024-07-05 13:52:02 -05:00
LICENSE-APACHE Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
LICENSE-MIT Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
README.md [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00
SUPPORTED-ONNX-OPS.md ONNX Tile operation (#2092) 2024-08-07 17:43:59 -04:00

README.md

Importing Models

The Burn project supports the import of models from various frameworks, emphasizing efficiency and compatibility. Currently, it handles two primary model formats:

  1. ONNX: Facilitates direct import, ensuring the model's performance and structure are maintained.

  2. PyTorch: Enables the loading of PyTorch model weights into Burn’s native model architecture, ensuring seamless integration.

Contribution

Interested in contributing to burn-import? Check out our development guide for more information.