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Build / Build and test on ubuntu-latest (numpy 1.26) for x86_64 (push) Failing after 0s
81 lines
2.0 KiB
Python
81 lines
2.0 KiB
Python
from time import perf_counter as pc
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import matplotlib.pyplot as plt
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import numpy as np
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import numexpr as ne
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# geomspace seems to be very slow, just a warning about setting `n` too high.
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# n = 2**24
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n = 4096
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x = np.geomspace(7.8e-10, 7.8e0, n)
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# x = np.zeros(n)
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y = np.geomspace(2.3e-10j, 2.3e0j, n)
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z = x + y
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# Check to see if we have MKL or not (we don't want MKL here)
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ne.print_versions()
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# Spin up NumExpr before benchmarking
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z0 = z[:1024]
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outx = ne.evaluate('exp(z0)')
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out = ne.evaluate('expm1(z0)')
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# Benchmark the options
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t0 = pc()
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np_out = np.expm1(z)
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t1 = pc()
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for I in range(30):
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ne_out = ne.evaluate('expm1(z)')
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t2 = pc()
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for I in range(30):
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nex_out = ne.evaluate('exp(z)')
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t3 = pc()
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print(f'NumPy evaluated in {t1-t0:.3f} s')
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print(f'NumExpr (old) evaluated in {t2-t1:.3f} s')
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print(f'NumExpr (new) evaluated in {t3-t2:.3f} s')
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print(f'Slow-down: {(t3-t2)/(t2-t1)}')
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if n <= 4096:
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plt.figure()
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plt.plot(z, np_out.imag, label='np')
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plt.plot(z, ne_out.imag, label='ne')
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plt.plot(z, nex_out.imag, label='nex')
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plt.legend()
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if ne.use_vml:
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plt.title('im(Expm1(z)) w/ MKL')
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else:
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plt.title('im(Expm1(z)) w/o MKL')
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plt.figure()
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plt.semilogy(z, 1.0 + np.abs(ne_out.real - np_out.real), label='ne')
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plt.semilogy(z, 1.0 + np.abs(nex_out.real - np_out.real), label='nex')
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plt.legend()
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if ne.use_vml:
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plt.title('|re(nerenp)| w/ MKL')
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else:
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plt.title('|re(ne)-re(np)| w/o MKL')
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plt.figure()
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plt.semilogy(z, 1.0 + np.abs(ne_out.imag - np_out.imag), label='ne')
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plt.semilogy(z, 1.0 + np.abs(nex_out.imag - np_out.imag), label='nex')
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plt.legend()
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if ne.use_vml:
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plt.title('|im(ne)-im(np)| w/ MKL')
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else:
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plt.title('|im(ne)-im(np)| w/o MKL')
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plt.figure()
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plt.semilogy(z, 1.0 + np.abs(ne_out) - np.abs(np_out), label='ne')
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plt.semilogy(z, 1.0 + np.abs(nex_out) - np.abs(np_out), label='nex')
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plt.legend()
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if ne.use_vml:
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plt.title('|ne|-|np| w/ MKL')
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else:
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plt.title('|ne|-|np| w/o MKL')
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plt.show()
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