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[Doc] Fix description err in aneurysm.md #619

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merged 4 commits into from
Nov 1, 2023
Merged

[Doc] Fix description err in aneurysm.md #619

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c91d590
fix description err in aneurysm.md(test=document_fix)
HydrogenSulfate Nov 1, 2023
e6c4caa
fix transform input arguments of tempoGAN
HydrogenSulfate Nov 1, 2023
e1f2218
remove unnecessary brackets in some Dataset
HydrogenSulfate Nov 1, 2023
314b30c
Revert "fix transform input arguments of tempoGAN"
HydrogenSulfate Nov 1, 2023
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4 changes: 2 additions & 2 deletions docs/zh/examples/aneurysm.md
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Original file line number Diff line number Diff line change
Expand Up @@ -200,7 +200,7 @@ examples/aneurysm/aneurysm.py:149:157

### 3.5 超参数设定

接下来需要指定训练轮数和学习率，此处按实验经验，使用 1500 轮训练轮数。
接下来需要指定训练轮数和学习率，此处按实验经验，使用 1500 轮训练轮数，0.001 的初始学习率。

``` py linenums="59"
--8<--
Expand All @@ -210,7 +210,7 @@ examples/aneurysm/conf/aneurysm.yaml:59:75

### 3.6 优化器构建

训练过程会调用优化器来更新模型参数，此处选择较为常用的 `Adam` 优化器，并配合使用机器学习中常用的 OneCycle 学习率调整策略。
训练过程会调用优化器来更新模型参数，此处选择较为常用的 `Adam` 优化器，并配合使用机器学习中常用的 ExponentialDecay 学习率调整策略。

``` py linenums="159"
--8<--
Expand Down
2 changes: 1 addition & 1 deletion ppsci/data/dataset/array_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@ def __getitem__(self, idx):

if self.transforms is not None:
input_item, label_item, weight_item = self.transforms(
(input_item, label_item, weight_item)
input_item, label_item, weight_item
)

return (input_item, label_item, weight_item)
Expand Down
10 changes: 8 additions & 2 deletions ppsci/data/dataset/csv_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,7 +140,7 @@ def __getitem__(self, idx):

if self.transforms is not None:
input_item, label_item, weight_item = self.transforms(
(input_item, label_item, weight_item)
input_item, label_item, weight_item
)

return (input_item, label_item, weight_item)
Expand Down Expand Up @@ -265,7 +265,13 @@ def num_samples(self):
return self._len

def __iter__(self):
yield self.input, self.label, self.weight
if callable(self.transforms):
input_, label_, weight_ = self.transforms(
self.input, self.label, self.weight
)
yield input_, label_, weight_
else:
yield self.input, self.label, self.weight

def __len__(self):
return 1
4 changes: 2 additions & 2 deletions ppsci/data/dataset/era5_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,7 @@ def __getitem__(self, global_idx):

if self.transforms is not None:
input_item, label_item, weight_item = self.transforms(
(input_item, label_item, weight_item)
input_item, label_item, weight_item
)

return input_item, label_item, weight_item
Expand Down Expand Up @@ -230,7 +230,7 @@ def __getitem__(self, global_idx):

if self.transforms is not None:
input_item, label_item, weight_item = self.transforms(
(input_item, label_item, weight_item)
input_item, label_item, weight_item
)

return input_item, label_item, weight_item
10 changes: 8 additions & 2 deletions ppsci/data/dataset/mat_dataset.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -140,7 +140,7 @@ def __getitem__(self, idx):

if self.transforms is not None:
input_item, label_item, weight_item = self.transforms(
(input_item, label_item, weight_item)
input_item, label_item, weight_item
)

return (input_item, label_item, weight_item)
Expand Down Expand Up @@ -265,7 +265,13 @@ def num_samples(self):
return self._len

def __iter__(self):
yield self.input, self.label, self.weight
if callable(self.transforms):
input_, label_, weight_ = self.transforms(
self.input, self.label, self.weight
)
yield input_, label_, weight_
else:
yield self.input, self.label, self.weight

def __len__(self):
return 1
10 changes: 8 additions & 2 deletions ppsci/data/dataset/npz_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -138,7 +138,7 @@ def __getitem__(self, idx):

if self.transforms is not None:
input_item, label_item, weight_item = self.transforms(
(input_item, label_item, weight_item)
input_item, label_item, weight_item
)

return (input_item, label_item, weight_item)
Expand Down Expand Up @@ -261,7 +261,13 @@ def num_samples(self):
return self._len

def __iter__(self):
yield self.input, self.label, self.weight
if callable(self.transforms):
input_, label_, weight_ = self.transforms(
self.input, self.label, self.weight
)
yield input_, label_, weight_
else:
yield self.input, self.label, self.weight

def __len__(self):
return 1