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Updated PyTorch ONNX exporter (markdown)

Aaron Bockover
2022-09-26 13:42:17 -04:00
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PyTorch-ONNX-exporter.md

@ -336,6 +336,4 @@ python -m pytest -n auto --cov --cov-report "xml:test/coverage.xml" test/onnx/te
## Quantized model export
To support quantized model export, we need to unpack the quantized tensor inputs and the PackedParam weights (<https://github.com/pytorch/pytorch/pull/69232>). We construct through `TupleConstruct` to have a 1-to-1 input mapping,
so that we can use `replaceAllUsesWith` API for its successors. In addition, we support quantized namespace export, and the developers can add more symbolics for quantized operators conveniently in the current framework.
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so that we can use `replaceAllUsesWith` API for its successors. In addition, we support quantized namespace export, and the developers can add more symbolics for quantized operators conveniently in the current framework.