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TensorFlow model optimization roadmap

Updated: May 14th, 2019

Quantization

  • Post training quantization for hybrid kernels -- Launched
  • Post training quantization for (8b) fixed-point kernels -- Launched
  • Training with quantization for (8b) fixed-point kernels
  • Extend post and during training APIs to (8b) fixed-point RNNs
  • Training with quantization for low bit-width (< 8b) fixed-point kernels

Pruning / Sparsity

  • Magnitude based weight pruning during training -- Launched
  • Support for sparse model execution