How to statically quantize a PyTorch model (Eager mode)

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In this video, we go over the theory of how to statically quantize a PyTorch model in Eager mode. We present:
00:00 Intro
03:05 Required Architecture Changes (QuantStubs/ DeQuantStubs/ FloatFunctionals)
08:54 Fusing modules
12:18 Assignment of QConfigs (recipe for quantization for each module),
15:26 Preparing the model for quantization (i.e. making the model fake-quantizable),
20:25 Converting the model to a "true" quantized int8 model.
23:06 Conclusion

Some links to PyTorch documentation:
  1. Oscar Savolainen
  2. Neural network quantization
  3. Quantization
  4. Neural network
  5. PyTorch
  6. TensorFlow
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