Source code for gpytorch.means.zero_mean

#!/usr/bin/env python3

import torch

from .mean import Mean


[docs]class ZeroMean(Mean): def __init__(self, batch_shape=torch.Size(), **kwargs): super(ZeroMean, self).__init__() self.batch_shape = batch_shape def forward(self, input): mean = torch.zeros(*self.batch_shape, 1, dtype=input.dtype, device=input.device) if input.shape[:-2] == self.batch_shape: return mean.expand(input.shape[:-1]) else: return mean.expand(torch.broadcast_shapes(input.shape[:-1], mean.shape))