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use code gen #20

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@jmduarte jmduarte commented Oct 8, 2023

  • Use code generation

vloncar and others added 29 commits June 9, 2024 14:03
…arallel

SepConv1d/2d for io_parallel with Latency strategy
updates:
- [github.com/asottile/pyupgrade: v3.15.2 → v3.16.0](asottile/pyupgrade@v3.15.2...v3.16.0)
…pre-commit-ci-update-config

[pre-commit.ci] pre-commit autoupdate
updates:
- [github.com/pycqa/flake8: 7.0.0 → 7.1.0](PyCQA/flake8@7.0.0...7.1.0)
…pre-commit-ci-update-config

[pre-commit.ci] pre-commit autoupdate
…eight_quantizer_none

add protection for when kernel_quantizer is None
jmduarte and others added 30 commits November 13, 2024 21:29
…auto

Make auto default precision for pytorch parser
…result_t_bug_fix

remove incorrect setting of result_t
…alar, if scale is a multidimensional array (e.g. qonnx returns array shape 1x18)
…QuantWithConstant

Fix problem with scale being a multidimensional array.
…UNet model (fastmachinelearning#1122)

* Added support for `Resize` node from QONNX model

* Added a test on tiny UNet model in order to test `Resize` node

* pre-commit restyling

* Aesthetic fix

* Second aesthetic fix

* Added one test on a simpler model extracted from UNet model `branched_model_ch_last.onnx`

* Example models commit updated

* An empty list is now appended to the shape of all the inputs of the considered node, in case the input is empty

* Cleaned some code and added the removal of RoI input from `Resize` node

* revert some unneeded changes

* Added some minor checks related to sizes parameter

* Minor fix

* Minor modification of the error msg

* Minor fixes

---------

Co-authored-by: Jovan Mitrevski <[email protected]>
…_reqs_100

Update install_requires for 1.0.0
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8 participants