[Doc&Fix] Fix compatibility with isort and black and refine install_s…

…etup and graphcast doc (PaddlePaddle#934)

* update develop mkdocs

* allow alias for mike

* add pymesh test notation for py310 and fix isort conflict with black

* use warning instead of assert for duplicated metric name

* fix amgnet for precision promotion is deprecated between int32/64

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ repos:
     rev: 5.11.5
     hooks:
       - id: isort
-        args: ["--multi-line=7", "--sl"]
+        args: ["--multi-line=7", "--sl", "--profile", "black", "--filter-files"]
 
   - repo: https://github.com/psf/black
     rev: 22.3.0

docs/zh/examples/graphcast.md

@@ -3,7 +3,6 @@
 === "模型评估命令"
 
     ``` sh
-
     # linux
     wget -nc https://paddle-org.bj.bcebos.com/paddlescience/datasets/graphcast/dataset.zip
     wget -nc https://paddle-org.bj.bcebos.com/paddlescience/datasets/graphcast/dataset-step12.zip
@@ -266,4 +265,4 @@ examples/graphcast/graphcast.py
 
 ## 6. 参考文献
 
-- [GraphCast: Learning skillful medium-range global weather forecasting](https://doi.org/10.1080/09540091.2022.2131737)
+- [GraphCast: Learning skillful medium-range global weather forecasting](https://arxiv.org/abs/2212.12794)

docs/zh/install_setup.md

@@ -189,6 +189,8 @@ pybind11、pysdf、PyMesh 四个依赖库（上述**1.1 从 docker 镜像启动*
         手动找到并删除这些空文件夹，再执行 `git submodule update --init --recursive --progress` 命
         令即可恢复这些空文件夹至正常含有文件的状态，此时再继续执行剩余安装命令即可。
 
+        3. 由于自测工具 nose 未适配 Python>=3.10，因此执行 `pymesh.test()` 会报错，**不影响 pymesh 正常使用**。
+
 ## 2. 验证安装
 
 - 执行以下代码，验证安装的 PaddleScience 基础功能是否正常。

examples/pipe/poiseuille_flow.py

@@ -324,7 +324,7 @@ def forward(self, output_dict, label_dict):
         eval_cfg,
         ppsci.loss.MSELoss("mean"),
         {"u": lambda out: out["u"]},
-        {"Cross_section_velocity_profile_MAE": KL_divergence()},
+        {"KL_divergence": KL_divergence()},
         name="KL_divergence",
     )
     validator = {

ppsci/arch/amgnet.py

@@ -161,7 +161,7 @@ def StAS(
     index_E = sp_x.indices()
     value_E = sp_x.values()
 
-    return index_E, value_E
+    return index_E.astype("int64"), value_E
 
 
 def FillZeros(
@@ -194,7 +194,7 @@ def FillZeros(
     index_E = sp_x.indices()
     value_E = sp_x.values()
 
-    return index_E, value_E
+    return index_E.astype("int64"), value_E
 
 
 def remove_self_loops(

ppsci/solver/eval.py

@@ -25,6 +25,7 @@
 from paddle import io
 
 from ppsci.solver import printer
+from ppsci.utils import logger
 from ppsci.utils import misc
 
 if TYPE_CHECKING:
@@ -167,10 +168,11 @@ def _eval_by_dataset(
         for metric_name, metric_func in _validator.metric.items():
             # NOTE: compute metric with entire output and label
             metric_dict = metric_func(all_output, all_label)
-            assert metric_name not in metric_dict_group, (
-                f"Metric name({metric_name}) already exists, please ensure all metric "
-                "names are unique over all validators."
-            )
+            if metric_name in metric_dict_group:
+                logger.warning(
+                    f"Metric name({metric_name}) already exists, please ensure "
+                    "all metric names are unique over all validators."
+                )
             metric_dict_group[metric_name] = {
                 k: float(v) for k, v in metric_dict.items()
             }
@@ -254,10 +256,11 @@ def _eval_by_batch(
 
             # collect batch metric
             for metric_name, metric_func in _validator.metric.items():
-                assert metric_name not in metric_dict_group, (
-                    f"Metric name({metric_name}) already exists, please ensure all metric "
-                    "names are unique over all validators."
-                )
+                if metric_name in metric_dict_group:
+                    logger.warning(
+                        f"Metric name({metric_name}) already exists, please ensure "
+                        "all metric names are unique over all validators."
+                    )
                 metric_dict_group[metric_name] = misc.Prettydefaultdict(list)
                 metric_dict = metric_func(output_dict, label_dict)
                 for var_name, metric_value in metric_dict.items():

pyproject.toml

@@ -64,3 +64,6 @@ version_scheme = "post-release"
 
 [tool.setuptools.dynamic]
 dependencies = { file = ["requirements.txt"] }
+
+[tool.isort]
+profile = "black"