* 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
* 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.
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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
* Feat: burn-import implement ONNX ConstantOfShape
* Introduce shape type and use in ConstantOfShape and Shape
* Add tests for bool and int tensors for ConstantOfShape
* Fix ONNX test generation
* Undo comment
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Co-authored-by: Dilshod Tadjibaev <939125+antimora@users.noreply.github.com>
* Implement 3D and transposed 3D convolutions.
* Merge changes from onnx-ir #1921 pr
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Co-authored-by: Dilshod Tadjibaev <939125+antimora@users.noreply.github.com>
* separating onnx parsing from burn-import
* ran clippy and cargo-fmt
* removed unused deps from onnx-ir
* fixed clippy warnings that were causing run-checks to fail
* removed dead code
* removed unused dependencies from burn-import
* updated contributor-book, updated publish.yml, added readme
* update cargo lock
* formatted md document with prettier, rephrased sentence
* missed the errors with reduce_prod_conversion during merge
* formatted onnx-to-burn-conversion-tool.md, forgot to save
Guillaume Lagrange