【Hackathon 9th No.105】基于Paddle实现CoNFiLD流场生成模型 #1230
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…in confild.py, enhancing code documentation and usability.
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…andling and loss logging. Update _update_ema function to work with parameter dictionaries. Enhance log_loss_dict to control loss aggregation during validation. Modify GaussianDiffusion class to ensure loss calculation includes valid_mse and vb terms correctly.
…dability and consistency. Update variable names for clarity, enhance gradient handling, and streamline loss logging. Fix tensor type conversions and ensure proper handling of model parameters during training and evaluation.
…irectory exists before saving model parameters. This change improves file management during training by organizing saved models into a specified output directory.
…for dynamic adjustment while defaulting to 15698. This enhances flexibility in model evaluation.
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添加CoNFILD案例