细读Autoformer 代码实战 付完整代码数据

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import torch
import torch.nn as nn
import torch.nn.functional as F
from layers.Embed import DataEmbedding, DataEmbedding_wo_pos
from layers.AutoCorrelation import AutoCorrelation, AutoCorrelationLayer
from layers.Autoformer_EncDec import Encoder, Decoder, EncoderLayer, DecoderLayer, my_Layernorm, series_decomp
import math
import numpy as np


class Model(nn.Module):
    """
    Autoformer is the first method to achieve the series-wise connection,
    with inherent O(LlogL) complexity
    """
    def __init__(self, configs):
        super(Model, self).__init__()
        self.seq_len = configs.seq_len
        self.label_len = configs.label_len
        self.pred_len = configs.pred_len
        self.output_attention = c