* Made compatible with thumbv6m-none-eabi
* Added example of no_std on rp2040
* Added documentation on usage in no_std
* Rename rp2040 example and add README.md
* working version
* cleanup
* wip
* working version of gather
* testsetsetser
* Revert "testsetsetser"
This reverts commit f37b329697.
* Reapply "testsetsetser"
This reverts commit f8ada0044e.
* Revert "testsetsetser"
This reverts commit f37b329697.
* Revert "working version of gather"
This reverts commit f5047c27c8.
* Revert "wip"
This reverts commit abaaa2dd55.
* Revert "Merge branch 'main' into index-cpa-to-cubecl"
This reverts commit 05bed8ea74, reversing
changes made to 94954fc32c.
* Revert "cleanup"
This reverts commit 94954fc32c.
* Revert "working version"
This reverts commit a06933f029.
* gather test
* fix
* fix clippy
* cleanup
* 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
* Add Hard Sigmoid activation function
* Add ONNX import conversion for HardSigmoid
* Update supported operators list
* Update book
* Make test comparison approximate to eliminate precision issues
* Add burn-candle test
* Fix name in E2E test generator
* make contacts deterministic across Worlds
* add top k acc
* add onnx mean
* fix
* push fix
* format
---------
Co-authored-by: Charles Bournhonesque <cbournhonesque@snapchat.com>
* make contacts deterministic across Worlds
* add top k acc
* update book
---------
Co-authored-by: Charles Bournhonesque <cbournhonesque@snapchat.com>
* 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
* initial commit to try implement from_dataframes for a burn dataset
* added the beginnings of tests. removed ref to self in utility method
* added unit test for dataframe module. added utility methods to convert polars rows to burn dataset values
* putting polars and dataframe mod behind a fearure flag
* testing both methods
* added a if let OK so that it doesn't panic. if we can't convert serde map to json string. added comments
* using polars serializer, renaming vars
* removed prints. just unwrapping
* setting feature flags back
* return Value::Null rather than panic if we can't serialize list value. no longer convert to object before converting to string. no longer using serde_json to_string method
* Use native deserializer instead of serde_json
* added support for lazyframes. added support to deserialize a few more data. added a few more tests
* Remove lazy, add more testing and other fixes
* Update the book
* Remove lazy feature
* Put back lazy feature for polars
---------
Co-authored-by: Dilshod Tadjibaev <939125+antimora@users.noreply.github.com>
* Implement ONNX pad
* ONNX pad arguments fix
pad now requires 2 or more arguments
if the third argument is not given, it will default to 0
* fixing bug in input len fix
* change panic comment
Change panic comment from needing two inputs. This comes from the fact that the ONNX spec requires two necessary inputs but could have more two more optional argument.
---------
Co-authored-by: JC <you@example.com>
Co-authored-by: mepatrick73 <pameu17@ulaval.ca>
* Remove panic for squeeze when more than one axis is specified
* Remove extra Model()
* Change script to squeeze all singleton dimensions
* Revert change since burn requires axes to be specified
* Fix input tensor
* Try updating ONNX files again
* Add script for testing multiple axes along with new ONNX file
* Update squeeze.py comments
* Add squeeze_multiple model to tests
* Fix dim_inference
* Move QuantizationScheme to burn-tensor
* Refactor QuantizedTensorPrimitive to include the quantization strategy
* Fix QFloat tensor data display
* Refactor quantization methods to use scheme and qparams (on backend device)
* Fix clippy
* Fix fmt
* Add qtensor primitive tests
mepatrick73