chatbot_tutorial.py: Solve the optimizer cuda call problem #577
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
If you don't configure this string of code, you will get an error when you iterate over the update from 4000_checkpoint.tar: ``` encoder_optimizer.step() ``` Error message: ``` exp_avg.mul_(beta1).add_(1 - beta1, grad) RuntimeError: expected backend CPU and dtype Float but got backend CUDA and dtype Float ``` Fix it: pytorch/pytorch#2830 ``` with torch.no_grad(): correct = 0 total = 0 for images, labels in test_loader: images = images.to(device) # missing line from original code labels = labels.to(device) # missing line from original code images = images.reshape(-1, 28 * 28) out = model(images) _, predicted = torch.max(out.data, 1) total += labels.size(0) correct += (predicted == labels).sum().item() ```
If you don't configure this string of code, you will get an error when you iterate over the update from 4000_checkpoint.tar: ``` encoder_optimizer.step() ``` Error message: ``` exp_avg.mul_(beta1).add_(1 - beta1, grad) RuntimeError: expected backend CPU and dtype Float but got backend CUDA and dtype Float ``` Fix it: pytorch/pytorch#2830 ``` model = Model() model.load_state_dict(checkpoint['model']) model.cuda() optimizer = optim.Adam(model.parameters()) optimizer.load_state_dict(checkpoint['optimizer']) for state in optimizer.state.values(): for k, v in state.items(): if isinstance(v, torch.Tensor): state[k] = v.cuda() ```
|
Deploy preview for pytorch-tutorials-preview ready! Built with commit 3e1613d https://deploy-preview-577--pytorch-tutorials-preview.netlify.com |
|
Deploy preview for pytorch-tutorials-preview ready! Built with commit a473681 https://deploy-preview-577--pytorch-tutorials-preview.netlify.com |
vincentqb
approved these changes
Aug 5, 2019
|
@brianjo -- can you merge this? |
Sure thing. It might be a while as we need to merge some other fixes first. Thanks! |
|
Cool ! I am so happy to help you a little! |
|
Thank you!!! @jiangzhonglian |
rodrigo-techera
pushed a commit
to Experience-Monks/tutorials
that referenced
this pull request
Nov 29, 2021
chatbot_tutorial.py: Solve the optimizer cuda call problem
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.
If you don't configure this string of code, you will get an error when you iterate over the update from 4000_checkpoint.tar:
Error message:
Fix it: pytorch/pytorch#2830