feat(docs): Add PyTorch logical_or term entry (closes #7786) #7797
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dakshdeepHERE
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@amritamishra01 the # Example section is missing from this which needs to come in between the Syntax and Codebyte section.
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@amritamishra01 ping me once you do the changes and then we will move this PR ahead for next review. |
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Done @dakshdeepHERE — added the # Example section between Syntax and Codebyte |
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Hi @dakshdeepHERE, |
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Meta data is wrong please check the template from Readme file.
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| 1. **Function form:** | ||
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| ```python |
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use pseudo tag instead of python for syntax
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| 2. **Tensor method form:** | ||
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| ```python |
| This operation can be used either as a function in the torch module or as a tensor method. | ||
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| ## Syntax | ||
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Have a small introductory descriptuion here.
| - `out` (Tensor, optional): Tensor to store the output. | ||
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| ## Example | ||
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Add a description here
| print(x.logical_or(y)) | ||
| # Output: tensor([True, False, True, True]) | ||
| ``` | ||
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Add the output block for example section here
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I have few more changes for you to work on @amritamishra01 :)
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Adds a new term entry for logical_or() in PyTorch. This entry introduces the concept of element-wise logical OR operations on tensors, explains the syntax for both the function and tensor method forms, and provides runnable examples demonstrating boolean tensors, integer tensors, and broadcasting behavior. The entry follows the term entry template, content standards, and markdown style guide for PyTorch tensor operations.