
During May 2025, this developer expanded the NVIDIA/physicsnemo library by implementing support for the CELU activation function, enhancing the range of activation options available for neural simulations. The work involved updating the ACT2FN mapping to include 'celu', linking it to the PyTorch nn.CELU class with a default alpha of 1.0, and ensuring seamless integration throughout the codebase. Using Python and deep learning frameworks, the developer added comprehensive tests to validate the new activation path. This addition improved model flexibility and reproducibility, enabling researchers to experiment with CELU as a first-class activation option within the physicsnemo repository.
May 2025 monthly summary for NVIDIA/physicsnemo: Delivered CELU activation function support, expanding activation options and model flexibility for neural simulations. Implemented a new ACT2FN entry mapping 'celu' to torch.nn.CELU with default alpha=1.0, enabling seamless usage across the library. This change is backed by commit f30cf426dcdac081cde4b989c00f2326dc74e330 (Add CELU activation function). No major bugs fixed this month; maintenance included tests to cover the new activation path. Overall, researchers gain an additional, PyTorch-aligned activation option, improving experimentation, reproducibility, and model stability in NVIDIA/physicsnemo.
May 2025 monthly summary for NVIDIA/physicsnemo: Delivered CELU activation function support, expanding activation options and model flexibility for neural simulations. Implemented a new ACT2FN entry mapping 'celu' to torch.nn.CELU with default alpha=1.0, enabling seamless usage across the library. This change is backed by commit f30cf426dcdac081cde4b989c00f2326dc74e330 (Add CELU activation function). No major bugs fixed this month; maintenance included tests to cover the new activation path. Overall, researchers gain an additional, PyTorch-aligned activation option, improving experimentation, reproducibility, and model stability in NVIDIA/physicsnemo.

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