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          May 14, 2021 14:03 
        
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    Python x+a*y vs daxpy
  
        
  
    
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  | import numpy as np | |
| import perfplot | |
| from scipy.linalg.blas import daxpy | |
| a = 1.3 | |
| def np_axpy(data): | |
| x, y = data | |
| return a * x + y | |
| def sp_daxpy(data): | |
| x, y = data | |
| return daxpy(x, y, a=a) | |
| b = perfplot.bench( | |
| setup=lambda n: np.random.rand(2, n), | |
| kernels=[np_axpy, sp_daxpy], | |
| n_range=[2 ** k for k in range(24)], | |
| ) | |
| b.save("out.png") | |
| b.show() | 
      
      
  Author
  
  
        
      
            nschloe
  
      
      
      commented 
        May 14, 2021 
      
    
  

See https://stackoverflow.com/a/67358748/353337 for a more comprehensive comparison.
  
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