docs: Add FqnToConfig to API reference quantization page#3709
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Addresses pytorch#3693 FqnToConfig was introduced in v0.15.0 (PR pytorch#3083) to allow quantizing parameters by their fully qualified name, but was missing from the API reference documentation.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3709
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jerryzh168
approved these changes
Jan 23, 2026
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Summary
Adds
FqnToConfigto the API reference quantization documentation page.Changes
FqnToConfigto the "Inference APIs for quantize_" section indocs/source/api_ref_quantization.rstContext
FqnToConfigwas introduced in v0.15.0 via PR #3083 to allow quantizing parameters by their fully qualified name (FQN). This is particularly useful for MoE models (Llama4, Deepseek) that store weights under attributes like "down_proj" instead of "weight".Addresses #3693
cc @jcaip @jerryzh168