Added docs for the .max() method closes #8251#8263
Added docs for the .max() method closes #8251#8263abdultalha0862 wants to merge 2 commits intoCodecademy:mainfrom
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@mamtawardhani I have solved this issue #8251 Ready for the review. Please let me know if there are any changes. |
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Pull request overview
This PR adds documentation for PyTorch's .max() tensor operation method, addressing issue #8251. The documentation follows the standard structure used for PyTorch tensor operations in Codecademy Docs.
Changes:
- Added new documentation entry for the
.max()method under PyTorch tensor operations - Included introduction, syntax, and example sections following the documentation template
- Provided code example demonstrating basic usage of finding maximum values in a tensor
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| - 'paths/data-science' | ||
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| The **`.max()`** method in PyTorch returns the maximum value from a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It can find the maximum value across the entire tensor. This method is commonly used in data analysis, finding peak values, and various neural network operations. |
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The introduction incorrectly limits the scope of the .max() method. PyTorch's .max() method can also find the maximum value along a specific dimension (using the dim parameter), not just across the entire tensor. This is an important use case that should be mentioned in the introduction, similar to how .argmin() documentation describes both uses: "returns the index of the minimum value in a flattened tensor by default, or along a specified dimension."
| The **`.max()`** method in PyTorch returns the maximum value from a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It can find the maximum value across the entire tensor. This method is commonly used in data analysis, finding peak values, and various neural network operations. | |
| The **`.max()`** method in PyTorch returns the maximum value from a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). By default, it finds the maximum value across all elements of the tensor when flattened, but it can also compute maximum values along a specific dimension when the `dim` parameter is provided. This method is commonly used in data analysis, finding peak values, and various neural network operations. |
| ```pseudo | ||
| torch.max(input) → Tensor | ||
| ``` |
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The syntax section is incomplete. PyTorch's torch.max() has multiple signatures. The documented signature only shows the simplest case. According to PyTorch documentation, there is also torch.max(input, dim, keepdim=False) which returns a named tuple of (values, indices) when a dimension is specified. The method form tensor.max(dim=None, keepdim=False) should also be documented, similar to how .argmin() shows both forms. This is a critical omission as finding maximum values along specific dimensions is a common use case.
| **Return value:** | ||
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| Returns a tensor containing the maximum value from the `input`. |
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The return value description is incomplete. When .max() is called with a dim parameter, it returns a named tuple (values, indices) containing both the maximum values and their indices along the specified dimension, not just a single tensor. The current description only covers the case when no dimension is specified. See .argmin() documentation for reference on how to describe multiple return value scenarios.
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Pull request overview
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Description
Added PyTorch
max()Function DocumentationIssue Solved
#8251
Type of Change
Checklist
mainbranch.Issues Solvedsection.