quettabit
/ svd_memory.py
Created
April 23, 2020 15:03
— forked from fabianp/svd_memory.py
Timings and memory consumption for the singular value decomposition implemented in scipy. The script svd_memory.py generates a plot about the memory consumption (requires the package `memory_profiler`) and the second one will plot the timings. The scripts will perform several iterations for matrices of different sizes and will take about 30 minu…
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # .. Memory benchmarks for SciPy's Singular Value Decomposition .. | |
| # .. Author: Fabian Pedregosa <[email protected]> | |
| import numpy as np | |
| from scipy.sparse import linalg as splinalg | |
| from scipy import sparse, linalg | |
| import pylab as pl | |
| from memory_profiler import memory_usage | |
| dims = np.arange(500, 1500, 20) |