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Related to #155032 - ✅ quantization-accuracy-debugging.rst: [Preview](https://docs-preview.pytorch.org/pytorch/pytorch/155520/quantization-accuracy-debugging.html) vs [main](https://docs.pytorch.org/docs/main/quantization-accuracy-debugging.html) - ✅ quantization-backend-configuration.rst: [Preview](https://docs-preview.pytorch.org/pytorch/pytorch/155520/quantization-backend-configuration.html) vs [main](https://docs.pytorch.org/docs/main/quantization-backend-configuration.html) - ✅ quantization-support.rst: [Preview](https://docs-preview.pytorch.org/pytorch/pytorch/155520/quantization-support.html) vs [main](https://docs.pytorch.org/docs/main/quantization-support.html) - ✅ random.rst: [Preview](https://docs-preview.pytorch.org/pytorch/pytorch/155520/random.html) vs [main](https://docs.pytorch.org/docs/main/random.html) Pull Request resolved: https://github.com/pytorch/pytorch/pull/155520 Approved by: https://github.com/svekars Co-authored-by: Svetlana Karslioglu <svekars@meta.com>
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Quantization Backend Configuration
FX Graph Mode Quantization allows the user to configure various quantization behaviors of an op in order to match the expectation of their backend.
In the future, this document will contain a detailed spec of these configurations.
Default values for native configurations
Below is the output of the configuration for quantization of ops in x86 and qnnpack (PyTorch's default quantized backends).
Results:
.. literalinclude:: scripts/quantization_backend_configs/default_backend_config.txt