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This repository has been archived by the owner on Nov 16, 2023. It is now read-only.
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V0.2 [June release]

Past due by over 4 years 89% complete

Customer Facing Features

Training:

  • multi-GPU training
    • extend current train.py with multi-GPU capability
      • add profile information (nccl)

Loaders (100% code re-use):

  • segy loaders/converters (in case customers ask about them)
    • merge contrib from CSE into staging
      • segy to numpy format converter utility (already have from CSE)
      • segy notebooks
      • generic co…

Customer Facing Features

Training:

  • multi-GPU training
    • extend current train.py with multi-GPU capability
      • add profile information (nccl)

Loaders (100% code re-use):

  • segy loaders/converters (in case customers ask about them)
    • merge contrib from CSE into staging
      • segy to numpy format converter utility (already have from CSE)
      • segy notebooks
      • generic converter for Dutch F3 (tensor format) dataset (cannot convert some datasets to segy) [stretch goal]
      • with unit tests
  • specific converter for Penobscot dataset
    - bring back Penobscot: convert to numpy, import through Dutch F3 interface

Enhancements:

  • speed up build process
    - overhaul tests
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