Files
NexQuant/rdagent/app/model_implementation
Xu Yang 22e1aa3330 Implement model (and some factor) coder with evolving (#52)
* store code into FBImplementation

* fix path related bugs

* fix a bug

* fix factor related small bugs

* re-submit all model related code

* new code to model coder

* finish the model evolving code

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Co-authored-by: xuyang1 <xuyang1@microsoft.com>
2024-07-10 15:45:43 +08:00
..
2024-06-30 23:31:00 +08:00

Preparation

Install Pytorch

CPU CUDA will be enough for verify the implementation

Please install pytorch based on your system. Here is an example on my system

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
pip3 install torch_geometric

Tasks

Task Extraction

From paper to task.

# python rdagent/app/model_implementation/task_extraction.py
# It may based on rdagent/document_reader/document_reader.py
python rdagent/components/task_implementation/model_implementation/task_extraction.py ./PaperImpBench/raw_paper/

Complete workflow

From paper to implementation

# Similar to
# rdagent/app/factor_extraction_and_implementation/factor_extract_and_implement.py

Paper benchmark

# TODO: it does not work well now.
python rdagent/app/model_implementation/eval.py

TODO:

  • Create reasonable benchmark
    • with uniform input
    • manually create task
  • Create reasonable evaluation metrics

Evolving