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GVPMindSpore/mindscience

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train.yaml 1.00 KB
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Bochengz 提交于 2025-03-28 22:37 +08:00 . add application phympgn
# super parameters
data:
dataset_start: 0
dataset_used: 4
te_dataset_start: 0
te_dataset_used: 9
time_start: 0
time_used: 2000
tr_window_size: 20
val_window_size: 20
te_window_size: 2000
optim:
lr: 1.25e-4
steplr_size: 200
steplr_gamma: 0.96
start_epoch: 1
epochs: 1600
batch_size: 4
num_workers: 0
window_shuffle: true
val_freq: 2
# network architecture
network:
integral: 2
encoder_config:
node_encoder_layers: [8, 32, 64, 128]
edge_encoder_layers: [5, 32, 64, 128]
mpnn_block_config:
mpnn_layers:
- [384, 128, 128, 128, 128]
- [256, 128, 128, 128, 128]
mpnn_num: 5
decoder_config:
node_decoder_layers: [128, 64, 32, 2]
laplace_block_config:
in_dim: 4
h_dim: 24
out_dim: 2
# experiment name
experiment_name: "tmp"
continuous_train: false
path:
ckpt_path: ckpts/
# data path
data_root_dir: data/2d_cf
tr_raw_data: train_cf_4x2000x1598x2.h5
val_raw_data: train_cf_4x2000x1598x2.h5
te_raw_data: test_cf_9x2000x1598x2.h5
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