Version History

nexport was mostly developed privately, so it didn't have a well-documented history of feature releases until it was officially released with its license.

Table of Contents

• 0.0.0 (10.13.2022)
  • 0.0.1 (10.15.2022)
• 0.1.0 (10.27.2022)
  • 0.1.1 (11.02.2022)
  • 0.1.2 (11.16.2022)
• 0.2.0 (12.23.2022)
  • 0.2.1 (01.04.2023)
  • 0.2.2 (01.08.2023)
• 0.3.0 - The Parameter Update (tbc)
• 0.4.0 - The TensorFlow Update (tbc)

0.0.0 (10.13.2022)

• Project started
  • GitHub repository created
• Project created
  • Basic README.md written

0.0.1 (10.15.2022)

• Package files created
  • setup.py and LICENSE.md

0.1.0 (10.27.2022)

• Initial export function implemented
  • PyTorch 🔥 👉 .txt export
  • Output file 💾 contains a dump of all trained parameters

0.1.1 (11.02.2022)

• Revised .txt file structure
  • Output file 💾 now contains organized trained parameters formatted for ease of importing into inference-engine 🧠
• Export function polished
  • PyTorch 🔥 👉 .txt export

0.1.2 (11.16.2022)

• Added colored output 🌈 to functions
  • Success ✅ messages

0.2.0 (12.23.2022)

• Export function implemented
  • PyTorch 🔥 👉 .json
  • Output file 💾 contains a crude object dump of trained parameters grouped by layer and neuron

0.2.1 (01.04.2023)

• Reserved PyPI module page
• Revised .json data structure
  • Output file 💾 now contains a more organized and human-readable structure grouped by layer only
• Export function polished
  • PyTorch 🔥 👉 .json
  • Implemented optional metadata flag 🚩 to include model information at the top of the output file
• Implemented incremental verbose flag 🚩 to report status of model export
  • 0 (No output)
  • 1 (Export complete)
  • 2 (Time taken to export)
  • 3 (Layer-by-layer export status)

0.2.2 (01.08.2023)

• Elevated module access
  • Module functions can now be called from nexport.<function>
• Privatized externally irrelevant functionality
  • Removed access ⛔ to functions that should only be used by internal functions

0.3.0 - The Parameter Update (tbc)

• Implemented trained parameter calculator
  • Usable with nexport.calculate_params()
• Implemented calculator submodule
  • Implemented layer count function
    • Usable with model_info = nexport.calcualte_layers(model)
  • Implemented neuron count function
    • Usable with model_info = nexport.calculate_neurons(model)
  • Implemented parameter calculation function
    • Usable with model_info = nexport.calculate_params(model), model_info.neuron_count(<layer_number>)
• Moved example networks to separate class submodule
  • FFNetwork (2-3-3-1)
  • BFNetwork (28^2, 256, 128, 64, 32, 16, 8)
  • ICARNetwork (10, [64*50], 1)

0.4.0 - The TensorFlow Update (tbc)

• Export function implemented
  • Keras 🟥 👉 .txt
• nexport output now uses jutils for colored output 🌈