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PyTorch Super-Efficient Super Resolution (SESR) model
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@quic-bharathr quic-bharathr released this 03 Jun 01:03
· 22 commits to develop since this release
sesr-checkpoint-pytorch
6a8efcb

The release provides the model checkpoint tarballs for different variations of the PyTorch-based PyTorch Super-Efficient Super Resolution (SESR) model. Each model tarball corresponds to a given scaling_factor (release_sesr_<config_name>_<scaling_factor>x.tar.gz). Each tarball contains the following:

  • checkpoint_float32.pth.tar - full-precision model with the highest validation accuracy on the DIV2k dataset
  • checkpoint_int8.pth - quantized model with the highest validation accuracy obtained with Quantization-aware Training using AIMET
  • checkpoint_int8.encodings - Encodings for the quantized models
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