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Description: QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX - Pull requests · fastmachinelearning/qonnx

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fix(qonnx): handle scalar zpt for per-tensor bias quantizationhttps://github.com/fastmachinelearning/qonnx/pull/238
narutozxphttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Anarutozxp
https://github.com/fastmachinelearning/qonnx/pull/238
Adding method and tests to fix resize node issue with no ROIhttps://github.com/fastmachinelearning/qonnx/pull/236
rothejhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Arothej
1 https://github.com/fastmachinelearning/qonnx/pull/236
https://github.com/fastmachinelearning/qonnx/pull/236
Custom/brainsmith merge with mainhttps://github.com/fastmachinelearning/qonnx/pull/210
jsmonsonhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajsmonson
Draft https://github.com/fastmachinelearning/qonnx/pull/210#partial-pull-merging
https://github.com/fastmachinelearning/qonnx/pull/210
Keras3 and Qkeras3 Conversion to QONNXhttps://github.com/fastmachinelearning/qonnx/pull/208
nfirlehttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Anfirle
3 https://github.com/fastmachinelearning/qonnx/pull/208
https://github.com/fastmachinelearning/qonnx/pull/208
Enhancements to qonnx-exechttps://github.com/fastmachinelearning/qonnx/pull/192
maltanarhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Amaltanar
Draft https://github.com/fastmachinelearning/qonnx/pull/192#partial-pull-merging
https://github.com/fastmachinelearning/qonnx/pull/192
Onnxscript implementation of BatchNormToAffinehttps://github.com/fastmachinelearning/qonnx/pull/185
alanbacellarhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Aalanbacellar
6 https://github.com/fastmachinelearning/qonnx/pull/185
https://github.com/fastmachinelearning/qonnx/pull/185
updated inference_cost.py in order to include support for ConvTransposehttps://github.com/fastmachinelearning/qonnx/pull/177
jonGuti13https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3AjonGuti13
https://github.com/fastmachinelearning/qonnx/pull/177
[Opset] Increase preferred opset version to 13https://github.com/fastmachinelearning/qonnx/pull/171
iksnagrebhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Aiksnagreb
1 https://github.com/fastmachinelearning/qonnx/pull/171
https://github.com/fastmachinelearning/qonnx/pull/171
Added transformation to remove successive and identical Quant nodes in the graphhttps://github.com/fastmachinelearning/qonnx/pull/151
nghielmehttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Anghielme
https://github.com/fastmachinelearning/qonnx/pull/151
Add proper support for Binarized and binary neural nets in the QKeras converterhttps://github.com/fastmachinelearning/qonnx/pull/141
jurevreca12https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajurevreca12
https://github.com/fastmachinelearning/qonnx/pull/141
Add input quantization qkeras converterhttps://github.com/fastmachinelearning/qonnx/pull/138
jurevreca12https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajurevreca12
3 https://github.com/fastmachinelearning/qonnx/pull/138
https://github.com/fastmachinelearning/qonnx/pull/138
Is tensor representablehttps://github.com/fastmachinelearning/qonnx/pull/136
jurevreca12https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajurevreca12
https://github.com/fastmachinelearning/qonnx/pull/136
Update qkeras converter for array and auto po2 scalehttps://github.com/fastmachinelearning/qonnx/pull/135
jurevreca12https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajurevreca12
https://github.com/fastmachinelearning/qonnx/pull/135
[Range] Enable range analysis for a bunch of monotonic functionshttps://github.com/fastmachinelearning/qonnx/pull/133
iksnagrebhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Aiksnagreb
Draft https://github.com/fastmachinelearning/qonnx/pull/133#partial-pull-merging
1 https://github.com/fastmachinelearning/qonnx/pull/133
https://github.com/fastmachinelearning/qonnx/pull/133
minor bug fixhttps://github.com/fastmachinelearning/qonnx/pull/129
amd-rezaeihttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Aamd-rezaei
https://github.com/fastmachinelearning/qonnx/pull/129
Add 5D date_layout for video inputhttps://github.com/fastmachinelearning/qonnx/pull/126
xiaowen-qihttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Axiaowen-qi
https://github.com/fastmachinelearning/qonnx/pull/126
Hgq/support for qonnxhttps://github.com/fastmachinelearning/qonnx/pull/123
makoeppelhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Amakoeppel
1 https://github.com/fastmachinelearning/qonnx/pull/123
https://github.com/fastmachinelearning/qonnx/pull/123
Handle ExtractConvBias properly and remove unused bias Quant nodeshttps://github.com/fastmachinelearning/qonnx/pull/122
joannapnghttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajoannapng
1 https://github.com/fastmachinelearning/qonnx/pull/122
https://github.com/fastmachinelearning/qonnx/pull/122
L1 projectionshttps://github.com/fastmachinelearning/qonnx/pull/115
Harsh9650https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3AHarsh9650
https://github.com/fastmachinelearning/qonnx/pull/115
Extension of channels last converter to models with brancheshttps://github.com/fastmachinelearning/qonnx/pull/114
nghielmehttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Anghielme
1 https://github.com/fastmachinelearning/qonnx/pull/114
https://github.com/fastmachinelearning/qonnx/pull/114
Allow for no explicit pads in Conv layer in channel last conversionhttps://github.com/fastmachinelearning/qonnx/pull/112
jmitrevshttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Ajmitrevs
https://github.com/fastmachinelearning/qonnx/pull/112
[Conv2MatMul] default pad handling for convshttps://github.com/fastmachinelearning/qonnx/pull/111
maltanarhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Amaltanar
https://github.com/fastmachinelearning/qonnx/pull/111
L0 projectionshttps://github.com/fastmachinelearning/qonnx/pull/108
Harsh9650https://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3AHarsh9650
https://github.com/fastmachinelearning/qonnx/pull/108
[Convert] fix dimension mismatch issue in qcdq2qonnx conversionhttps://github.com/fastmachinelearning/qonnx/pull/91
maltanarhttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Amaltanar
https://github.com/fastmachinelearning/qonnx/pull/91
Support for QCDQ to QOp conversionhttps://github.com/fastmachinelearning/qonnx/pull/75
amd-adchattehttps://github.com/fastmachinelearning/qonnx/issues?q=is%3Apr+is%3Aopen+author%3Aamd-adchatte
https://github.com/fastmachinelearning/qonnx/pull/75
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