[Fix] Update copyright and docstrings (#761)

* update copyright header * update docstring of PhyCRNet

Author: HydrogenSulfate

ppsci/arch/nowcastnet.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+# http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import collections
 from typing import Tuple
 

ppsci/arch/phycrnet.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+# http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from typing import Tuple
 
 import numpy as np
@@ -63,42 +77,42 @@ class PhyCRNet(base.Arch):
 
  Args:
  input_channels (int): The input channels.
- hidden_channels (Tuple[int]): The hidden channels.
- input_kernel_size (Tuple[int]): The input kernel size.
- input_stride (Tuple[int]): The input stride.
- input_padding (Tuple[int]): The input padding.
+ hidden_channels (Tuple[int, ...]): The hidden channels.
+ input_kernel_size (Tuple[int, ...]): The input kernel size(s).
+ input_stride (Tuple[int, ...]): The input stride(s).
+ input_padding (Tuple[int, ...]): The input padding(s).
  dt (float): The dt parameter.
- num_layers (Tuple[int]): The number of layers.
+ num_layers (Tuple[int, ...]): The number of layers.
  upscale_factor (int): The upscale factor.
- step (int, optional): The step. Defaults to 1.
- effective_step (Tuple[int], optional): The effective step. Defaults to (1).
+ step (int, optional): The step(s). Defaults to 1.
+ effective_step (Tuple[int, ...], optional): The effective step. Defaults to (1, ).
 
  Examples:
  >>> import ppsci
  >>> model = ppsci.arch.PhyCRNet(
- ...  input_channels=2,
- ...  hidden_channels=[8, 32, 128, 128],
- ...  input_kernel_size=[4, 4, 4, 3],
- ...  input_stride=[2, 2, 2, 1],
- ...  input_padding=[1, 1, 1, 1],
- ...  dt=0.002,
- ...  num_layers=[3, 1],
- ...  upscale_factor=8
- ...  )
+ ... input_channels=2,
+ ... hidden_channels=[8, 32, 128, 128],
+ ... input_kernel_size=[4, 4, 4, 3],
+ ... input_stride=[2, 2, 2, 1],
+ ... input_padding=[1, 1, 1, 1],
+ ... dt=0.002,
+ ... num_layers=[3, 1],
+ ... upscale_factor=8
+ ... )
  """
 
  def __init__(
  self,
  input_channels: int,
- hidden_channels: Tuple[int],
- input_kernel_size: Tuple[int],
- input_stride: Tuple[int],
- input_padding: Tuple[int],
+ hidden_channels: Tuple[int, ...],
+ input_kernel_size: Tuple[int, ...],
+ input_stride: Tuple[int, ...],
+ input_padding: Tuple[int, ...],
  dt: float,
- num_layers: Tuple[int],
+ num_layers: Tuple[int, ...],
  upscale_factor: int,
  step: int = 1,
- effective_step: Tuple[int] = (1),
+ effective_step: Tuple[int, ...] = (1,),
  ):
  super(PhyCRNet, self).__init__()
 

ppsci/arch/uscnn.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+# http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from typing import Tuple
 from typing import Union