26 lines
660 B
Python
26 lines
660 B
Python
import torch
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from mpd.models import build_context
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class GaussianDiffusionLoss:
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def __init__(self):
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pass
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@staticmethod
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def loss_fn(diffusion_model, input_dict, dataset, step=None):
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"""
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Loss function for training diffusion-based generative models.
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"""
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traj_normalized = input_dict[f'{dataset.field_key_traj}_normalized']
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context = build_context(diffusion_model, dataset, input_dict)
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hard_conds = input_dict.get('hard_conds', {})
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loss, info = diffusion_model.loss(traj_normalized, context, hard_conds)
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loss_dict = {'diffusion_loss': loss}
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return loss_dict, info
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