Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Latte is compatible with both PyTorch and TensorFlow/Keras, and provides both functional and modular APIs that can be easily extended to support other deep learning frameworks. Using NumPy-based and framework-agnostic implementation, Latte ensures reproducible, consistent, and deterministic metric calculations regardless of the deep learning framework of choice.
翻译:Latte(Latent Tensor valuation)是一个Python图书馆,用于评价分解学习和可控一代领域的潜在基因模型,与PyTorch和TensorFlow/Keras兼容,提供功能性和模块性API,易于推广以支持其他深层次学习框架。Latte使用NumPy和框架-不可知性实施,确保可复制、一致和决定性的计量计算,而不论选择的深层次学习框架如何。