correct link in quant_noise
Summary: Pull Request resolved:
@@ -49,7 +49,7 @@ When evaluating a network, all quantized modules and activation hooks automatica
#### Integration with your own code
Looking to quantize your own models with Quant-Noise + Scalar Quantization?
-- Use the function `quantize_model_` implemented [here](https://github.com/pytorch/fairseq/tree/master/fairseq/modules/quantization/scalar/utils) to (1) replace all your modules by their quantized counterparts and (2) add hooks to those modules to quantize the activations.
+- Use the function `quantize_model_` implemented [here](https://github.com/pytorch/fairseq/tree/master/fairseq/modules/quantization/scalar/utils.py) to (1) replace all your modules by their quantized counterparts and (2) add hooks to those modules to quantize the activations.
- Then, perform your training as usual. Note that in `eval()` mode, the network is always fully quantized (weights and activations) by default (`p=1`).
