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