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Fix matrix multiplication issue by downgrading NumPy and using PyTorch

Open codeautopilot[bot] opened this issue 1 year ago • 3 comments

Resolves #1279

This pull request addresses the matrix multiplication issue by downgrading NumPy to version 1.25.0 and implementing a workaround using PyTorch for matrix multiplication in unwrap_error_phase_closure.py. Documentation has been updated to reflect these changes.

Summary by Sourcery

Fix matrix multiplication issue by downgrading NumPy and implementing a workaround using PyTorch for efficient matrix operations.

Bug Fixes:

  • Address matrix multiplication issue by downgrading NumPy to version 1.25.0 and using PyTorch for efficient matrix operations.

Documentation:

  • Update documentation to include a workaround for matrix multiplication issues using PyTorch and instructions for downgrading NumPy.

codeautopilot[bot] avatar Oct 23 '24 04:10 codeautopilot[bot]

💖 Thanks for opening this pull request! Please check out our contributing guidelines. 💖 Keep in mind that all new features should be documented. It helps to write the comments next to the code or below your functions describing all arguments, and return types before writing the code. This will help you think about your code design and usually results in better code.

welcome[bot] avatar Oct 23 '24 04:10 welcome[bot]

Reviewer's Guide by Sourcery

This pull request addresses a matrix multiplication performance issue by downgrading NumPy to version 1.25.0 and introducing a PyTorch-based workaround. The changes include updating documentation and adding a new file for matrix multiplication using PyTorch.

User journey diagram for handling matrix multiplication issue

journey
    title User Journey for Matrix Multiplication Issue
    section Identifying the Issue
      User -> NumPy: Attempt matrix multiplication
      User -> NumPy: Experience performance issues
    section Exploring Solutions
      User -> Documentation: Read about performance issues
      User -> Documentation: Learn about PyTorch workaround
      User -> Documentation: Learn about NumPy downgrade
    section Implementing Workaround
      User -> PyTorch: Install PyTorch
      User -> PyTorch: Use PyTorch for matrix multiplication
    section Alternative Solution
      User -> NumPy: Downgrade NumPy version
      User -> System: Verify compatibility with other packages

Class diagram for matrix multiplication using PyTorch

classDiagram
    class MatrixMultiplier {
        +torch.Tensor matrix_multiply(list matrix_a, list matrix_b)
    }
    note for MatrixMultiplier "This class provides a method to multiply matrices using PyTorch."

File-Level Changes

Change Details Files
Update documentation to address matrix multiplication issue
  • Add a new FAQ section about matrix multiplication issues with NumPy
  • Explain the workaround using PyTorch for matrix multiplication
  • Provide a code example for matrix multiplication using PyTorch
  • Suggest an alternative solution of downgrading NumPy
  • Include a warning about potential compatibility issues when downgrading
docs/FAQs.md
Implement PyTorch-based matrix multiplication function
  • Create a new file for matrix multiplication functionality
  • Define a function 'matrix_multiply' that uses PyTorch for matrix multiplication
  • Convert input matrices to PyTorch tensors
  • Use torch.matmul for efficient matrix multiplication
unwrap_error_phase_closure.py

Assessment against linked issues

Issue Objective Addressed Explanation
#1279 Fix the matrix multiplication error in unwrap_error_phase_closure.py
#1279 Provide a workaround for the NumPy matrix multiplication issue
#1279 Document the issue and its solutions

Possibly linked issues

  • #1279: The PR fixes the matrix multiplication issue by downgrading NumPy and using PyTorch, directly addressing the issue.

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sourcery-ai[bot] avatar Oct 23 '24 04:10 sourcery-ai[bot]

wat

scottstanie avatar Oct 23 '24 13:10 scottstanie

I am still in the trying phase of these two recent new bots, at least it is trying to fix things, interesting. The related issue is not come from mintpy though, I am closing this PR.

yunjunz avatar Nov 15 '24 03:11 yunjunz

Haha sorry @yunjunz didnt mean to seem critical of the attempt, I was just surprised at how off the rails this fix was by the bot

scottstanie avatar Nov 15 '24 17:11 scottstanie