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* Add the pow operator. (#1583)Laurent Mazare2024-01-131-0/+6
* Unpin more of the workplace relative dependencies. (#1535)Laurent Mazare2024-01-071-2/+2
* Simplifying our internal cargo dependencies. (#1529)Nicolas Patry2024-01-071-1/+0
* Bump the crate version to 0.3.3. (#1490)Laurent Mazare2023-12-281-3/+3
* Bump the crate version to 0.3.2. (#1452)Laurent Mazare2023-12-171-3/+3
* feat: add test for individual onnx ops (#1332)drbh2023-11-191-0/+746
* Support for CumSum in ONNX models. (#1340)Laurent Mazare2023-11-171-0/+19
* Update for 0.3.1. (#1324)Laurent Mazare2023-11-111-3/+3
* fix: negative axis (#1296)YangNianYi2023-11-081-29/+4
* PyO3: Add optional `candle.onnx` module (#1282)Lukas Kreussel2023-11-082-2/+2
* [ONNX] Support a couple more ops. (#1284)Laurent Mazare2023-11-062-113/+109
* Put the onnx example behind a feature flag. (#1276)Laurent Mazare2023-11-062-9/+31
* Add more models to the onnx example. (#1273)Laurent Mazare2023-11-051-15/+152
* [ONNX] Do not generate values for constants. (#1272)Laurent Mazare2023-11-052-37/+38
* Better tensor initialization in ONNX. (#1270)Laurent Mazare2023-11-041-10/+103
* Refactor the onnx attribute getters. (#1268)Laurent Mazare2023-11-041-73/+218
* Support more ONNX ops. (#1267)Laurent Mazare2023-11-041-0/+49
* Improve the ONNX basic example + bugfixes (#1266)Laurent Mazare2023-11-043-52/+190
* ONNX casting support. (#1265)Laurent Mazare2023-11-041-10/+94
* Add some preliminary ONNX support (#1260)Laurent Mazare2023-11-046-0/+1015
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