24edeb20221803c592d9bc2c4f428fb9697358b7,gpytorch/inference/posterior_models/exact_gp_posterior.py,_ExactGPPosterior,__init__,#_ExactGPPosterior#Any#Any#Any#,10

Before Change

        self.prior_model = prior_model

        // Alpha cache - for computing mean
        self.register_buffer("alpha", torch.Tensor())

        // Buffers for conditioning on data
        if train_xs is not None and train_y is not None:

After Change

        self.prior_model = prior_model

        // Buffers for conditioning on data
        self.train_xs = [input.data if isinstance(input, Variable) else input for input in train_xs]
        self.train_y = train_y.data if isinstance(train_y, Variable) else train_y

    def forward(self, *inputs, **params):
        n = len(self.train_xs[0]) if hasattr(self, "train_xs") else 0

Instances