Feedback about Tensors
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Description
There is the following issue on this page: https://docs.pytorch.org/tutorials/beginner/basics/tensorqs_tutorial.html
y1 = tensor @ tensor.T
y2 = tensor.matmul(tensor.T)
y3 = torch.rand_like(y1)
torch.matmul(tensor, tensor.T, out = y3)
print(y3)
结果是这个
tensor([[3., 3., 3., 3.],
[3., 3., 3., 3.],
[3., 3., 3., 3.],
[3., 3., 3., 3.]])
但是网页给出的结果是
tensor([[1., 0., 1., 1.],
[1., 0., 1., 1.],
[1., 0., 1., 1.],
[1., 0., 1., 1.]])
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open the tensor tutorial at docs.pytorch.org/tutorials/beginner/basics/tensorqs_tutorial.html and inspect the tensor matrix-multiplication example and its displayed output. Reproduce the example with the same tensor initialization and compare the result with the report; done means the example and expected output agree, or the discrepancy is explained and documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100