Feedback about Optimizing Model Parameters Page
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Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 68/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Stale
- Tech stack
- python
- Domain
- documentation
Research direction
Open the linked optimization tutorial and locate the “Full implementation” section. Update the example so optimizer.zero_grad() appears before loss.backward(), then verify the rendered code matches the recommendation in the preceding paragraph.
Written by the indexing model from the issue text.
Description
There is the following issue on this page: https://docs.pytorch.org/tutorials/beginner/basics/optimization_tutorial.html
Within the section Full implementation, the loop does not contain the zero_grad function on top of the backward propagation block as is recommended in the paragraph preceding this section.
Actual code:
# Backpropagation
loss.backward()
optimizer.step()
optimizer.zero_grad()
Recommended code:
optimizer.zero_grad()
loss.backward()
optimizer.step()
If you could instruct me how to make this change on the documentation, I would be glad to do that.
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