conf/config.yaml

model:
  processor_layers: 16          
  hidden_dim: 512               
  mesh_level: 6                 
  multimesh: true               
  num_channels_climate: 227
  use_cos_zenith: true         
  use_time_of_year_index: true 
  num_history: 0               
  num_channels_static: 5       
  num_steps: 1
  checkpoint_encoder: true      
  checkpoint_decoder: false     
  full_bf16: true              
  processor_type: MessagePassing
  khop_neighbors: 32            
  num_attention_heads: 4        
  norm_type: LayerNorm          
  segments: 1                   
  force_single_checkpoint: false
  checkpoint_processor: false   
  force_single_checkpoint_finetune: false
  checkpoint_encoder_finetune: true      
  checkpoint_processor_finetune: true    
  checkpoint_decoder_finetune: true      
  concat_trick: true         
  cugraphops_encoder: false  
  cugraphops_processor: false
  cugraphops_decoder: false  
  recompute_activation: false
  use_apex: true             
  patience: 50
  start_epoch: 0
  max_epoch: 9999
  num_val_steps: 8      
  dt: 6.0                
  grad_clip_norm: 32.0  
  lr: 1e-3               
  lr_step3: 3e-7        
  num_iters_step1: 1000  
  num_iters_step2: 299000
  num_iters_step3: 11000 
  step_change_freq: 1000
  val_freq: 5           
  checkpoint_dir : "./data/checkpoints"
  
# 整个数据读取流程
datapipe:
  name: "ERA5"
  task: "weather_forecasting"

  # dataset设定
  dataset:
    type: "hdf5"
    data_dir: './data/' # "$ONESCIENCE_DATASETS_DIR/ERA5/newh5/" 
    dataset_metadata_path: './data.json'  # Path to the dataset metadata, containing channel names.
    time_diff_std_path: './time_diff_std.npy'  # Path to the .npy file with standard deviation of normalized per-variable per-pressure level time differences.
    train_time: [1951, 1952]
    val_time: [1953]
    test_time: [1954]
    img_size: [721, 1440]
    verbose: true
    cache: false
    # vars
    channels: ['10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'mean_sea_level_pressure', 'total_precipitation',

               'geopotential_1', 'geopotential_2', 'geopotential_3', 'geopotential_5', 'geopotential_7', 
               'geopotential_10', 'geopotential_20', 'geopotential_30', 'geopotential_50', 'geopotential_70', 
               'geopotential_100', 'geopotential_125', 'geopotential_150', 'geopotential_175', 'geopotential_200', 
               'geopotential_225', 'geopotential_250', 'geopotential_300', 'geopotential_350', 'geopotential_400', 
               'geopotential_450', 'geopotential_500', 'geopotential_550', 'geopotential_600', 'geopotential_650', 
               'geopotential_700', 'geopotential_750', 'geopotential_775', 'geopotential_800', 'geopotential_825', 
               'geopotential_850', 'geopotential_875', 'geopotential_900', 'geopotential_925', 'geopotential_950', 
               'geopotential_975', 'geopotential_1000',

               'relative_humidity_1', 'relative_humidity_2', 'relative_humidity_3', 'relative_humidity_5', 'relative_humidity_7', 
               'relative_humidity_10', 'relative_humidity_20', 'relative_humidity_30', 'relative_humidity_50', 'relative_humidity_70', 
               'relative_humidity_100', 'relative_humidity_125', 'relative_humidity_150', 'relative_humidity_175', 'relative_humidity_200', 
               'relative_humidity_225', 'relative_humidity_250', 'relative_humidity_300', 'relative_humidity_350', 'relative_humidity_400', 
               'relative_humidity_450', 'relative_humidity_500', 'relative_humidity_550', 'relative_humidity_600', 'relative_humidity_650', 
               'relative_humidity_700', 'relative_humidity_750', 'relative_humidity_775', 'relative_humidity_800', 'relative_humidity_825', 
               'relative_humidity_850', 'relative_humidity_875', 'relative_humidity_900', 'relative_humidity_925', 'relative_humidity_950', 
               'relative_humidity_975', 'relative_humidity_1000',

               'u_component_of_wind_1', 'u_component_of_wind_2', 'u_component_of_wind_3', 'u_component_of_wind_5', 'u_component_of_wind_7', 
               'u_component_of_wind_10', 'u_component_of_wind_20', 'u_component_of_wind_30', 'u_component_of_wind_50', 'u_component_of_wind_70', 
               'u_component_of_wind_100', 'u_component_of_wind_125', 'u_component_of_wind_150', 'u_component_of_wind_175', 'u_component_of_wind_200', 
               'u_component_of_wind_225', 'u_component_of_wind_250', 'u_component_of_wind_300', 'u_component_of_wind_350', 'u_component_of_wind_400', 
               'u_component_of_wind_450', 'u_component_of_wind_500', 'u_component_of_wind_550', 'u_component_of_wind_600', 'u_component_of_wind_650', 
               'u_component_of_wind_700', 'u_component_of_wind_750', 'u_component_of_wind_775', 'u_component_of_wind_800', 'u_component_of_wind_825', 
               'u_component_of_wind_850', 'u_component_of_wind_875', 'u_component_of_wind_900', 'u_component_of_wind_925', 'u_component_of_wind_950', 
               'u_component_of_wind_975', 'u_component_of_wind_1000',

               'v_component_of_wind_1', 'v_component_of_wind_2', 'v_component_of_wind_3', 'v_component_of_wind_5', 'v_component_of_wind_7', 
               'v_component_of_wind_10', 'v_component_of_wind_20', 'v_component_of_wind_30', 'v_component_of_wind_50', 'v_component_of_wind_70', 
               'v_component_of_wind_100', 'v_component_of_wind_125', 'v_component_of_wind_150', 'v_component_of_wind_175', 'v_component_of_wind_200', 
               'v_component_of_wind_225', 'v_component_of_wind_250', 'v_component_of_wind_300', 'v_component_of_wind_350', 'v_component_of_wind_400', 
               'v_component_of_wind_450', 'v_component_of_wind_500', 'v_component_of_wind_550', 'v_component_of_wind_600', 'v_component_of_wind_650', 
               'v_component_of_wind_700', 'v_component_of_wind_750', 'v_component_of_wind_775', 'v_component_of_wind_800', 'v_component_of_wind_825', 
               'v_component_of_wind_850', 'v_component_of_wind_875', 'v_component_of_wind_900', 'v_component_of_wind_925', 'v_component_of_wind_950', 
               'v_component_of_wind_975', 'v_component_of_wind_1000',

               'temperature_1', 'temperature_2', 'temperature_3', 'temperature_5', 'temperature_7', 
               'temperature_10', 'temperature_20', 'temperature_30', 'temperature_50', 'temperature_70', 
               'temperature_100', 'temperature_125', 'temperature_150', 'temperature_175', 'temperature_200', 
               'temperature_225', 'temperature_250', 'temperature_300', 'temperature_350', 'temperature_400', 
               'temperature_450', 'temperature_500', 'temperature_550', 'temperature_600', 'temperature_650', 
               'temperature_700', 'temperature_750', 'temperature_775', 'temperature_800', 'temperature_825', 
               'temperature_850', 'temperature_875', 'temperature_900', 'temperature_925', 'temperature_950', 
               'temperature_975', 'temperature_1000',

               'vertical_wind_speed_1', 'vertical_wind_speed_2', 'vertical_wind_speed_3', 'vertical_wind_speed_5', 'vertical_wind_speed_7', 
               'vertical_wind_speed_10', 'vertical_wind_speed_20', 'vertical_wind_speed_30', 'vertical_wind_speed_50', 'vertical_wind_speed_70', 
               'vertical_wind_speed_100', 'vertical_wind_speed_125', 'vertical_wind_speed_150', 'vertical_wind_speed_175', 'vertical_wind_speed_200', 
               'vertical_wind_speed_225', 'vertical_wind_speed_250', 'vertical_wind_speed_300', 'vertical_wind_speed_350', 'vertical_wind_speed_400', 
               'vertical_wind_speed_450', 'vertical_wind_speed_500', 'vertical_wind_speed_550', 'vertical_wind_speed_600', 'vertical_wind_speed_650', 
               'vertical_wind_speed_700', 'vertical_wind_speed_750', 'vertical_wind_speed_775', 'vertical_wind_speed_800', 'vertical_wind_speed_825', 
               'vertical_wind_speed_850', 'vertical_wind_speed_875', 'vertical_wind_speed_900', 'vertical_wind_speed_925', 'vertical_wind_speed_950', 
               'vertical_wind_speed_975', 'vertical_wind_speed_1000',
              ]

    variables:
      - "u10"        # 10m U wind component
      - "v10"        # 10m V wind component
      - "t2m"        # 2m temperature
      - "msl"        # Mean sea level pressure
      - "z500"       # Geopotential at 500 hPa
      - "t850"       # Temperature at 850 hPa
    
    # 时间配置
    time_range: ["2000-01-01", "2020-12-31"]
    time_steps: 1
    time_res: 6
    
    # 空间配置
    spatial_resolution: [0.25, 0.25]
    
    # 采样配置
    num_samples: -1  # -1 表示使用全部数据
    shuffle: true
    random_seed: 42
    
    # 领域特定配置
    extra:
      levels: [500, 850, 1000]
      lat_range: [-90, 90]
      lon_range: [0, 360]
  
  # 数据转换配置
  transforms:
    - type: "Normalize"
      params:
        mean: [0.0, 0.0, 288.0, 101325.0, 50000.0, 270.0]
        std: [5.0, 5.0, 15.0, 1000.0, 5000.0, 10.0]
        keys: ["input", "target"]
    
    - type: "ToTensor"
      params:
        keys: null  # null表示转换所有numpy数组
  
  # 其他配置


  # DataLoader配置
  dataloader:
    mask_dtype: "float32"
    batch_size: 1
    num_workers: 1
    pin_memory: true
    drop_last: true
    shuffle: false  # 使用sampler时设为false
    prefetch_factor: 2
    persistent_workers: true
  
  # 分布式配置
  distributed:
    enabled: true
    sampler: "DistributedSampler"
    rank: 0
    world_size: 4
    shuffle: true
    seed: 42
    drop_last: true