QPyTorch
stable

Guides and Tutorials:

  • QPyTorch Functionality Overview
    • Introduction
    • Quantization
    • Autograd
    • Low Precision Optimization
      • Weight and Gradient Quantization
      • Gradient Accumulator
    • High-level Helper
  • CIFAR10 Low Precision Training Example

Package Reference:

  • qtorch package
  • qtorch.quant package
  • qtorch.optim package
  • qtorch.auto_low
QPyTorch
  • Docs »
  • Index
  • Edit on GitHub

Index

B | F | L | Q | S

B

  • block_quantize() (in module qtorch.quant)
  • BlockFloatingPoint (class in qtorch)

F

  • fixed_point_quantize() (in module qtorch.quant)
  • FixedPoint (class in qtorch)
  • float_quantize() (in module qtorch.quant)
  • FloatingPoint (class in qtorch)
  • forward() (qtorch.quant.Quantizer method)

L

  • lower() (in module qtorch.auto_low)

Q

  • qtorch (module)
  • qtorch.auto_low (module)
  • qtorch.optim (module)
  • qtorch.quant (module)
  • Quantizer (class in qtorch.quant)
  • quantizer() (in module qtorch.quant)

S

  • sequential_lower() (in module qtorch.auto_low)

© Copyright 2019, Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa Revision c2812adc.

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