| Notation | Size | Meaning |
| L | Constant | The length of historical sequence. |
| G | Constant | The number of global tokens in ETC. |
| M | Constant | The length of future sequence to be predicted. |
| B | Constant | Batch size. |
| D | Constant | The dimension of each node. |
| DK | Constant | The dimension of a key. |
| X | B×L×D | Input of a single attention head. |
| Y | B×L×D | Output of a single attention head. |
| Q | B×L×Dk | The query. |
| K | B×L×Dk | The key. |
| V | B×L×Dk | The value. |
| WQ | D×Dk | The weight matrix of the query. |
| WK | D ×Dk | The weight matrix of the key. |
| Wv | D×Dk | The weight matrix of the value. |
| S | Constant | Number of scales. |
| A | Constant | Number of adjacent nodes at the same scale that a node can attend to. |
| C | Constant | Number of finer scale nodes that a coarser scale node can summarize. |
| N | Constant | Number of attention layers. |
| n( | D | The l-th node at scale s. |
| N | len(N)) × D | |
| A | len(A()） × D | The adjacent A nodes at the same scale with n(s). |
| C | len(C()) × D | |
| P | len(P(s) × D | The parent node of n(s). |
| Fp | B×M×D | The prediction tokens. |
| Fe | B ×Ltot ×D | The output of the encoder. Ltot represents the output length of the encod |
| Fd1 | B×M×D | The output of the first attention-based decoder layer. |
| H | Constant | The number of attention heads. |
| DF | | |
| Constant | The maximum dimension of the feed-forward layer. |
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