[Example] Add STAFNet Model for Air Quality Prediction #1070

dylan-yin · 2025-02-07T13:02:36Z

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CLAassistant · 2025-02-07T13:02:43Z

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HydrogenSulfate

整体项目请使用pre-commit格式化一边

HydrogenSulfate · 2025-02-10T03:17:57Z

examples/demo/conf/stafnet.yaml

@@ -0,0 +1,136 @@
+hydra:


配置文件开头请加上以下字段：

PaddleScience/examples/ldc/conf/ldc_2d_Re3200_piratenet.yaml

Lines 1 to 9 in fad6927

defaults:

- ppsci_default

- TRAIN: train_default

- TRAIN/ema: ema_default

- TRAIN/swa: swa_default

- EVAL: eval_default

- INFER: infer_default

- hydra/job/config/override_dirname/exclude_keys: exclude_keys_default

- _self_

HydrogenSulfate · 2025-02-10T03:18:07Z

examples/demo/conf/stafnet.yaml

+    config:
+      override_dirname:
+        exclude_keys:
+          - TRAIN.checkpoint_path
+          - TRAIN.pretrained_model_path
+          - EVAL.pretrained_model_path
+          - mode
+          - output_dir
+          - log_freq


这个可以删了

HydrogenSulfate · 2025-02-10T03:18:45Z

examples/demo/conf/stafnet.yaml

+STAFNet_DATA_PATH: "/data6/home/yinhang2021/workspace/SATFNet/data/2020-2023_new/train_data.pkl" # 
+DATASET:
+  label_keys: ["label"]
+  data_dir: "/data6/home/yinhang2021/workspace/SATFNet/data/2020-2023_new/train_data.pkl"
+  STAFNet_DATA_args: {
+            "data_dir": "/data6/home/yinhang2021/workspace/SATFNet/data/2020-2023_new/train_data.pkl",
+            "batch_size": 1,
+            "shuffle": True,
+            "num_workers": 0,
+            "training": True
+        }
+
+
+
+# "data_dir": "data/2020-2023_new/train_data.pkl",
+#             "batch_size": 32,
+#             "shuffle": True,
+#             "num_workers": 0,
+#             "training": True
+# model settings
+# MODEL: # 
+


建议改为相对路径，以./data/...开头即可

HydrogenSulfate · 2025-02-10T03:19:04Z

examples/demo/conf/stafnet.yaml

+# "data_dir": "data/2020-2023_new/train_data.pkl",
+#             "batch_size": 32,
+#             "shuffle": True,
+#             "num_workers": 0,
+#             "training": True
+# model settings
+# MODEL: # 


这个注释如果没用的可以删除

HydrogenSulfate · 2025-02-10T03:19:16Z

examples/demo/conf/stafnet.yaml

+  # configs: {
+  #         "task_name": "forecast",
+  #         "output_attention": False,
+  #         "seq_len": 72,
+  #         "label_len": 24,
+  #         "pred_len": 48,
+
+  #         "aq_gat_node_features" : 7,
+  #         "aq_gat_node_num": 35,
+
+  #         "mete_gat_node_features" : 7,
+  #         "mete_gat_node_num": 18,
+
+  #         "gat_hidden_dim": 32,
+  #         "gat_edge_dim": 3,
+  #         "gat_embed_dim": 32,
+
+  #         "e_layers": 1,
+  #         "enc_in": 7,
+  #         "dec_in": 7,
+  #         "c_out": 7,
+  #         "d_model": 16 ,
+  #         "embed": "fixed",
+  #         "freq": "t",
+  #         "dropout": 0.05,
+  #         "factor": 3,
+  #         "n_heads": 4,
+
+  #         "d_ff": 32 ,
+  #         "num_kernels": 6,
+  #         "top_k": 4
+  #     }


同上，如果没用可以删除

HydrogenSulfate · 2025-02-10T03:22:09Z

examples/demo/demo.py

+
+
+
+


避免连续空行

HydrogenSulfate · 2025-02-10T03:22:59Z

examples/demo/demo.py

+    # set random seed for reproducibility
+    ppsci.utils.misc.set_random_seed(42)
+    # set output directory
+    OUTPUT_DIR = "./output_example"
+    # initialize logger
+    logger.init_logger("ppsci", f"{OUTPUT_DIR}/train.log", "info")


这个可以删除，output_dir会由ppsci.utils.callbacks.InitCallback自动创建:

PaddleScience/ppsci/utils/callbacks.py

Lines 90 to 96 in fad6927

logger.init_logger(

"ppsci",

osp.join(full_cfg.output_dir, f"{full_cfg.mode}.log")

if full_cfg.output_dir and full_cfg.mode not in ["export", "infer"]

else None,

full_cfg.log_level,

)

HydrogenSulfate · 2025-02-10T03:23:20Z

ppsci/arch/stafnet.py

+from typing import Tuple
+
+class Inception_Block_V1(paddle.nn.Layer):
+


冗余的空行请删除，下同

ppsci/arch/stafnet.py

ppsci/data/dataset/stafnet_dataset.py

HydrogenSulfate · 2025-02-12T05:31:51Z

examples/demo/conf/stafnet.yaml

+output_dir: ${hydra:run.dir}
+log_freq: 20
+# dataset setting
+STAFNet_DATA_PATH: "/data6/home/yinhang2021/dataset/chongqing_1921/train_data.pkl" # 


这里的路径是否能改成相对路径？比如 ./dataset/train_data.pkl，其余的路径字段也是，建议改为相对路径，并去掉用户名

STAFNet_DATA_PATH是否应该放到DATASET字段下？

HydrogenSulfate · 2025-02-12T05:33:02Z

examples/demo/conf/stafnet.yaml

+
+
+MODEL:
+  input_keys: ["aq_train_data","mete_train_data",]


Suggested change

input_keys: ["aq_train_data","mete_train_data",]

input_keys: [aq_train_data, mete_train_data]

HydrogenSulfate · 2025-02-12T05:33:06Z

examples/demo/conf/stafnet.yaml

+
+MODEL:
+  input_keys: ["aq_train_data","mete_train_data",]
+  output_keys: ["label"]


Suggested change

output_keys: ["label"]

output_keys: [label]

HydrogenSulfate · 2025-02-12T05:33:23Z

examples/demo/conf/stafnet.yaml

+  checkpoint_path: null 
+
+EVAL:
+  eval_data_path: "/data6/home/yinhang2021/dataset/chongqing_1921/val_data.pkl"


Suggested change

eval_data_path: "/data6/home/yinhang2021/dataset/chongqing_1921/val_data.pkl"

eval_data_path: ./dataset/val_data.pkl

HydrogenSulfate · 2025-02-12T05:34:06Z

examples/demo/conf/stafnet.yaml

+STAFNet_DATA_PATH: "/data6/home/yinhang2021/dataset/chongqing_1921/train_data.pkl" # 
+DATASET:
+  label_keys: ["label"]
+  data_dir: "/data6/home/yinhang2021/dataset/chongqing_1921/train_data.pkl"


data_dir为什么是具体文件路径而不是某个文件夹路径?

此处的路径是否跟STAFNet_DATA_PATH重复了？

HydrogenSulfate · 2025-02-12T05:37:13Z

examples/demo/demo.py

+        cfg.TRAIN.epochs,
+        ITERS_PER_EPOCH,
+        eval_during_train=cfg.TRAIN.eval_during_train,
+        seed=cfg.seed,


Suggested change

seed=cfg.seed,

HydrogenSulfate · 2025-02-12T05:37:30Z

examples/demo/demo.py

+    """
+    Validate after training an epoch
+
+    :param epoch: Integer, current training epoch.
+    :return: A log that contains information about validation
+    """


Suggested change

"""

Validate after training an epoch

:param epoch: Integer, current training epoch.

:return: A log that contains information about validation

"""

HydrogenSulfate · 2025-02-12T05:37:52Z

examples/demo/demo.py

+        "sampler": {
+            "name": "BatchSampler",
+            "drop_last": False,
+            "shuffle": True,
+        },


Suggested change

"sampler": {

"name": "BatchSampler",

"drop_last": False,

"shuffle": True,

},

HydrogenSulfate · 2025-02-12T05:38:01Z

examples/demo/demo.py

+    # set random seed for reproducibility
+    ppsci.utils.misc.set_random_seed(42)
+    # set output directory
+    OUTPUT_DIR = "./output_example"
+    # initialize logger
+    logger.init_logger("ppsci", f"{OUTPUT_DIR}/train.log", "info")


Suggested change

# set random seed for reproducibility

ppsci.utils.misc.set_random_seed(42)

# set output directory

OUTPUT_DIR = "./output_example"

# initialize logger

logger.init_logger("ppsci", f"{OUTPUT_DIR}/train.log", "info")

HydrogenSulfate · 2025-02-12T05:38:38Z

examples/demo/demo.py

+    OUTPUT_DIR = "./output_example"
+    # initialize logger
+    logger.init_logger("ppsci", f"{OUTPUT_DIR}/train.log", "info")
+    multiprocessing.set_start_method("spawn")


这句代码是什么作用？paddle的多卡训练不需要这样吧？

我这边如果不加 multiprocessing.set_start_method("spawn")，会出现cuda error（3）

我这边如果不加 multiprocessing.set_start_method("spawn")，会出现cuda error（3）

这是多卡训练时才会出现的吗？你的训练命令是什么呢？如果按照我们文档里给的数据并行命令，也会报错吗？

liaoxin2 · 2025-06-06T03:24:32Z

docs/zh/examples/stafnet.md

+
+````
+``` sh
+python stafnet.py TRAIN_DIR="Your train dataset path" eval_data_path="Your evaluate dataset path"


python stafnet.py DATASET.data_dir="Your train dataset path" EVAL.eval_data_path="Your evaluate dataset path"

liaoxin2 · 2025-06-06T03:30:23Z

docs/zh/examples/stafnet.md

+
+````
+``` sh
+python stafnet.py mode=eval EVAL.pretrained_model_path="https://paddle-org.bj.bcebos.com/paddlescience/models/stafnet/stafnet.pdparams" EVAL.pretrained_model_path="https://paddle-org.bj.bcebos.com/paddlescience/datasets/stafnet/val_data.pkl"


wget -nc https://paddle-org.bj.bcebos.com/paddlescience/datasets/stafnet/val_data.pkl -P ./dataset/
python stafnet.py mode=eval EVAL.pretrained_model_path="https://paddle-org.bj.bcebos.com/paddlescience/models/stafnet/stafnet.pdparams"

liaoxin2 · 2025-06-06T03:32:33Z

docs/zh/examples/stafnet.md

+
+针对空气质量预测提出了许多研究。早期的方法侧重于学习单个观测站观测数据的时间模式，而放弃了观测站之间的空间关系。最近，由于图神经网络（GNN）在处理非欧几里得图结构方面的有效性，越来越多的方法采用 GNN 来模拟空间依赖关系。这些方法将车站位置作为上下文特征，隐含地建立空间依赖关系模型，没有充分利用车站位置和车站之间关系所包含的宝贵空间信息。此外，现有的时空 GNN 缺乏在错位图中融合多个特征的能力。因此，大多数方法都需要额外的插值算法，以便在早期阶段将气象特征与 AQ 特征进行对齐和连接。这种方法消除了空气质量站和气象站之间的空间和结构信息，还可能引入噪声导致误差累积。此外，在空气质量预测中利用多周期性的问题仍未得到探索。
+
+该案例研究时空图网络网络在空气质量预测方向上的应用。


去掉一个‘网络’

liaoxin2 · 2025-06-06T03:40:58Z

docs/zh/examples/stafnet.md

+```
+--8<--
+examples/stafnet/stafnet.py:11
+--8<--
+```


代码不显示，参考其他案例文档，在第一行添加py linenums="11" title="examples/stafnet/stafnet.py"，下面的代码块均修改一下

liaoxin2 · 2025-06-06T03:43:14Z

docs/zh/examples/stafnet.md

+
+### 3.7 评估器构建
+
+在训练过程中通常会按一定轮数间隔，用验证集(测试集)评估当前模型的训练情况，因此使用 `ppsci.validate.SupervisedValidator` 构建评估器，构建过程与 [约束构建](https://github.com/PaddlePaddle/PaddleScience/blob/develop/docs/zh/examples/cfdgcn.md#34) 类似，只需把数据目录改为测试集的目录，并在配置文件中设置 `EVAL.batch_size=1` 即可。


构建过程与 [3.6 约束构建](#36) 类似

liaoxin2 · 2025-06-06T03:44:48Z

docs/zh/examples/stafnet.md

+
+## 5. 参考资料
+
+- [STAFNet: Spatiotemporal-Aware Fusion Network for Air Quality Prediction]([STAFNet: Spatiotemporal-Aware Fusion Network for Air Quality Prediction | SpringerLink](https://link.springer.com/chapter/10.1007/978-3-031-78186-5_22))


[STAFNet: Spatiotemporal-Aware Fusion Network for Air Quality Prediction](https://link.springer.com/chapter/10.1007/978-3-031-78186-5_22)

liaoxin2 · 2025-06-06T05:09:11Z

examples/stafnet/conf/stafnet.yaml

+  output_attention: True
+  seq_len: 72
+  pred_len: 48
+  aq_gat_node_features: 7
+  aq_gat_node_num: 35
+  mete_gat_node_features: 7
+  mete_gat_node_num: 18
+  gat_hidden_dim: 32
+  gat_edge_dim: 3
+  e_layers: 2
+  enc_in: 7
+  dec_in: 7
+  c_out: 7
+  d_model: 32
+  embed: "fixed"
+  freq: "t"
+  dropout: 0.05
+  factor: 3
+  n_heads: 4
+  d_ff: 64
+  num_kernels: 6
+  top_k: 4


output_attention: true
seq_len: 72
pred_len: 48
aq_gat_node_features: 7
aq_gat_node_num: 35
mete_gat_node_features: 7
mete_gat_node_num: 18
gat_hidden_dim: 32
gat_edge_dim: 3
e_layers: 1
enc_in: 7
dec_in: 7
c_out: 7
d_model: 16
embed: fixed
freq: t
dropout: 0.05
factor: 3
n_heads: 4
d_ff: 32
num_kernels: 6
top_k: 4

liaoxin2 · 2025-06-06T05:09:29Z

examples/stafnet/conf/stafnet.yaml

+  checkpoint_path: null 
+
+EVAL:
+  eval_data_path: ./dataset/new_val_data.pkl


./dataset/val_data.pkl

liaoxin2 · 2025-06-06T05:15:37Z

examples/stafnet/stafnet.py

+from omegaconf import DictConfig
+import hydra
+import paddle
+from ppsci.data.dataset.stafnet_dataset import gat_lstmcollate_fn


from ppsci.data.dataset.stafnet_dataset import gat_lstmcollate_fn去掉吧，并没有用到

HydrogenSulfate

所有提交的代码请使用pre-commit格式化一下

HydrogenSulfate · 2025-06-06T05:30:50Z

examples/stafnet/conf/stafnet.yaml

+DATASET:
+  label_keys: [label]
+  data_dir: ./dataset/train_data.pkl
+


Suggested change

HydrogenSulfate · 2025-06-06T05:30:59Z

examples/stafnet/conf/stafnet.yaml

+  pretrained_model_path: null
+  compute_metric_by_batch: false
+  eval_with_no_grad: true
+  batch_size: 32


文件末尾换行

liaoxin2 · 2025-06-09T02:25:51Z

docs/zh/examples/stafnet.md

+``` sh
+wget -nc https://paddle-org.bj.bcebos.com/paddlescience/datasets/stafnet/val_data.pkl -P ./dataset/
+python stafnet.py mode=eval EVAL.pretrained_model_path="https://paddle-org.bj.bcebos.com/paddlescience/models/stafnet/stafnet.pdparams"
+python stafnet.py mode=eval EVAL.pretrained_model_path="https://paddle-org.bj.bcebos.com/paddlescience/models/stafnet/stafnet.pdparams" EVAL.pretrained_model_path="https://paddle-org.bj.bcebos.com/paddlescience/datasets/stafnet/val_data.pkl"


去掉第21行

liaoxin2 · 2025-06-09T11:26:57Z

docs/zh/examples/stafnet.md

+--8<--
+examples/stafnet/stafnet.py:11
+--8<--


插入的代码还需再检查一下，插入的代码和文字说明不太对应

liaoxin2 · 2025-06-09T11:33:38Z

docs/zh/examples/stafnet.md

+
+### 3.7 评估器构建
+
+在训练过程中通常会按一定轮数间隔，用验证集(测试集)评估当前模型的训练情况，因此使用 `ppsci.validate.SupervisedValidator` 构建评估器，构建过程与 [约束构建](https://github.com/PaddlePaddle/PaddleScience/blob/develop/docs/zh/examples/stafnet.md#36) 类似，只需把数据目录改为测试集的目录，并在配置文件中设置 `EVAL.batch_size=1` 即可。


构建过程与 [3.6 约束构建](#36) 类似

README.md

liaoxin2 · 2025-06-11T06:37:09Z

docs/zh/examples/stafnet.md

+
+```py linenums="10" title="examples/stafnet/stafnet.py"
+--8<--
+examples/stafnet/stafnet.py:10


examples/stafnet/stafnet.py:10:10

liaoxin2 · 2025-06-11T07:21:15Z

docs/zh/examples/stafnet.md

+
+## 4. 完整代码
+
+```python py linenums="1" title="examples/stafnet/stafnet.py"


去掉python

liaoxin2 · 2025-06-12T07:25:50Z

docs/zh/examples/stafnet.md

+
+``` py linenums="62" title="examples/stafnet/stafnet.py"
+--8<--
+examples/stafnet/stafnet.py:62


examples/stafnet/stafnet.py:62:62

liaoxin2 · 2025-06-12T07:26:29Z

docs/zh/examples/stafnet.md

+
+``` py linenums="55" title="examples/stafnet/stafnet.py"
+--8<--
+examples/stafnet/stafnet.py:55


examples/stafnet/stafnet.py:55:55

docs/zh/examples/stafnet.md

examples/stafnet/stafnet.py

HydrogenSulfate · 2025-06-16T06:39:51Z

ppsci/arch/stafnet.py

+
+import numpy as np
+import paddle
+from pgl.nn.conv import GATv2Conv


因为pgl不是pdsci的依赖库，所以还麻烦按照以下方式修改导入方式，避免影响ppsci其它代码

HydrogenSulfate · 2025-06-16T06:40:47Z

ppsci/data/dataset/stafnet_dataset.py

还麻烦在docs/zh/api/data/dataset.md加上这个类

HydrogenSulfate · 2025-06-16T06:40:59Z

ppsci/arch/stafnet.py

还麻烦在arch.md加上这个类

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	defaults:
	- ppsci_default
	- TRAIN: train_default
	- TRAIN/ema: ema_default
	- TRAIN/swa: swa_default
	- EVAL: eval_default
	- INFER: infer_default
	- hydra/job/config/override_dirname/exclude_keys: exclude_keys_default
	- _self_

	logger.init_logger(
	"ppsci",
	osp.join(full_cfg.output_dir, f"{full_cfg.mode}.log")
	if full_cfg.output_dir and full_cfg.mode not in ["export", "infer"]
	else None,
	full_cfg.log_level,
	)

		from typing import Tuple

		class Inception_Block_V1(paddle.nn.Layer):

	input_keys: ["aq_train_data","mete_train_data",]
	input_keys: [aq_train_data, mete_train_data]

	eval_data_path: "/data6/home/yinhang2021/dataset/chongqing_1921/val_data.pkl"
	eval_data_path: ./dataset/val_data.pkl


		针对空气质量预测提出了许多研究。早期的方法侧重于学习单个观测站观测数据的时间模式，而放弃了观测站之间的空间关系。最近，由于图神经网络（GNN）在处理非欧几里得图结构方面的有效性，越来越多的方法采用 GNN 来模拟空间依赖关系。这些方法将车站位置作为上下文特征，隐含地建立空间依赖关系模型，没有充分利用车站位置和车站之间关系所包含的宝贵空间信息。此外，现有的时空 GNN 缺乏在错位图中融合多个特征的能力。因此，大多数方法都需要额外的插值算法，以便在早期阶段将气象特征与 AQ 特征进行对齐和连接。这种方法消除了空气质量站和气象站之间的空间和结构信息，还可能引入噪声导致误差累积。此外，在空气质量预测中利用多周期性的问题仍未得到探索。

		该案例研究时空图网络网络在空气质量预测方向上的应用。


		### 3.7 评估器构建

		在训练过程中通常会按一定轮数间隔，用验证集(测试集)评估当前模型的训练情况，因此使用 `ppsci.validate.SupervisedValidator` 构建评估器，构建过程与 [约束构建](https://github.com/PaddlePaddle/PaddleScience/blob/develop/docs/zh/examples/cfdgcn.md#34) 类似，只需把数据目录改为测试集的目录，并在配置文件中设置 `EVAL.batch_size=1` 即可。


		## 5. 参考资料

		- [STAFNet: Spatiotemporal-Aware Fusion Network for Air Quality Prediction]([STAFNet: Spatiotemporal-Aware Fusion Network for Air Quality Prediction \| SpringerLink](https://link.springer.com/chapter/10.1007/978-3-031-78186-5_22))


		## 4. 完整代码

		```python py linenums="1" title="examples/stafnet/stafnet.py"

[Example] Add STAFNet Model for Air Quality Prediction #1070

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