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6f3c6ef | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | """Compact trainable model used by the local Spherical DYffusion pipeline."""
from torch import nn
class SphericalDYffusion(nn.Module):
"""Small convolutional forecaster preserving the global-grid tensor contract."""
def __init__(self, channels: int):
super().__init__()
self.net = nn.Sequential(
nn.Conv2d(channels, 32, 3, padding=1),
nn.GELU(),
nn.Conv2d(32, 32, 3, padding=1),
nn.GELU(),
nn.Conv2d(32, channels, 1),
)
def forward(self, inputs):
return self.net(inputs)
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