unit8co/darts

Dirichlet Likelihood TFT model

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#1,813 创建于 2023年6月3日

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buggood first issue

描述

Hello, I'm tring to use DirichletLikelihood in TFT model, but I got this issue. How can I fix it?

`ValueError: Expected value argument (Tensor of shape (32, 12, 1)) to be within the support (Simplex()) of the distribution Dirichlet(concentration: torch.Size([12, 1])), but found invalid values:
tensor([[[0.5691],
         [0.8910],
         [0.6211],
         [0.0000],
         [0.3685],
         [0.3022],
         [0.5626],
         [0.3967],
         [0.6753],
         [0.6197],
         [0.4106],
         [0.6041]],
...
        [[0.0000],
         [0.0000],
         [0.0000],
         [0.0000],
         [0.0000],
         [0.0000],
         [0.4241],
         [0.3950],
         [0.3232],
         [0.2716],
         [0.3947],
         [0.2650]]])`

Thanks

贡献者指南

技术栈
pythonpytorch
领域
datamachine learning
议题类型
bug
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
needs investigation
前置要求
PyTorch basicsTemporal Fusion TransformerDirichlet distribution
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
40
研究方向
The error indicates that the TFT model output tensor of shape (32, 12, 1) is being passed as the value argument to Dirichlet, but Dirichlet expects a simplex (values summing to 1 along the last dimension). The issue likely stems from the TFT model's output not being normalized. Investigate the darts source code for the TFT model and its integration with DirichletLikelihood, specifically how the output is transformed before being passed to the distribution. Look at the comments in the issue for any additional context or attempted fixes. Check if there is a missing softmax or normalization step in the model head.
Dirichlet Likelihood TFT model · unit8co/darts#1813 | Good First Issue