Jun 15, 2022 · We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision quantized neural networks.
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
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QONNX (Quantized ONNX) introduces three new custom operators -- Quant, BipolarQuant, and Trunc -- in order to represent arbitrary-precision uniform ...
We then introduce a novel higher-level ONNX format called quantized ONNX (QONNX) that introduces three new operators—Quant, BipolarQuant, and Trunc—in order to ...
Jun 15, 2022 · We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision ...
Jan 31, 2023 · We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision ...
QONNX (Quantized ONNX) introduces three new custom operators – Quant, BipolarQuant and Trunc – in order to represent arbitrary-precision uniform quantization ...
QONNX: Representing Arbitrary-Precision Quantized Neural Networks. arXiv.cs.AR Pub Date : 2022-06-15. DOI : arxiv-2206.07527. Alessandro Pappalardo, Yaman ...
We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision quantized neural networks.
Qonnx: Representing arbitrary-precision quantized neural networks. A ... Learning Framework for Fast Exploration of Quantized Neural Networks. M Blott ...
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We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision quantized neural networks.