PBDL model for 物理感知神经网络流固耦合计算加速方法研究-王兆坤 #1137
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Thanks for your contribution! |
|
|
There was a problem hiding this comment.
|
|
||
|
|
||
| def main(OUTPUT_DIR): | ||
|
|
Comment on lines
+164
to
+177
| for i, (x1_batch, x2_batch, y_batch) in enumerate(train_loader): | ||
| x1_batch, x2_batch, y_batch = ( | ||
| x1_batch.to(device), | ||
| x2_batch.to(device), | ||
| y_batch.to(device), | ||
| ) | ||
| break | ||
| for i, (x1_test, x2_test, y_test) in enumerate(test_loader): | ||
| x1_test, x2_test, y_test = ( | ||
| x1_test.to(device), | ||
| x2_test.to(device), | ||
| y_test.to(device), | ||
| ) | ||
| break |
| np.linalg.norm(test_prediction - test_target) | ||
| / np.linalg.norm(test_target) | ||
| ) | ||
| with open(f"{OUTPUT_DIR}/TestingLoss_L2.dat", "a") as file2: |
There was a problem hiding this comment.
文件路径请使用os.path.join来拼接
There was a problem hiding this comment.
请转换成.pdparams格式的文件
There was a problem hiding this comment.
- 这个文件和checkpoint.pth有什么区别，如果是重复的文件，可以删除，否则请转换成
.pdparams格式的文件
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
PR types
New Features
PR changes
Others.
Add an example about PBDL model used in '物理感知神经网络流固耦合计算加速方法研究'
Describe
This is the physics-based deep learning model to predict body force used in immerse boundary method. It can accelerate the traditional LBM calculation by this rapid predicted body force.