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2 Commits (a874ea78fb53b92f2d339d7fabcab2e1b91a1382)

Author	SHA1	Message	Date
mckay	a874ea78fb	feat: Enhance LossManager with advanced loss computation methods - Added `position_loss` method to calculate manifold loss using mean absolute value - Implemented `normals_loss` method to compute normal vector loss with gradient calculation - Updated `train.py` to log input and output tensor shapes during training - Modified network architecture in `train.py` by increasing hidden layer dimensions from [64, 64, 64] to [256, 256, 256]	4 months ago
mckay	6be600a52f	feat: Add LossManager for manifold loss computation - Created `loss.py` with a `LossManager` class to handle loss calculation - Integrated `LossManager` into the training pipeline in `train.py` - Implemented a basic manifold loss computation using mean absolute value	4 months ago