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Copy pathtiming.py
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executable file
·259 lines (189 loc) · 7.53 KB
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#!/usr/bin/env python3
# -*- coding", t)
"""
Created on Fri Apr 10 14:22:36 2020
@author", t)
"""
import timeit
from ansitable import ANSITable, Column
N = 100000
table = ANSITable(
Column("Operation", headalign="^"),
Column("Time (μs)", headalign="^", fmt="{:.2f}"),
border="thick")
def result(op, t):
global table
table.row(op, t/N*1e6)
# ------------------------------------------------------------------------- #
# transforms_setup = '''
# from spatialmath import SE3
# from spatialmath import base
# import numpy as np
# from collections import namedtuple
# Rt = namedtuple('Rt', 'R t')
# X1 = SE3.Rand()
# X2 = SE3.Rand()
# T1 = X1.A
# T2 = X2.A
# R1 = base.t2r(T1)
# R2 = base.t2r(T2)
# t1 = base.transl(T1)
# t2 = base.transl(T2)
# Rt1 = Rt(R1, t1)
# Rt2 = Rt(R2, t2)
# v = np.r_[1,2,3]
# v2 = np.r_[1,2,3, 1]
# '''
# t = timeit.timeit(stmt='base.getvector(0.2)', setup=transforms_setup, number=N)
# result("getvector(x)", t)
# t = timeit.timeit(stmt='base.rotx(0.2, unit="rad")', setup=transforms_setup, number=N)
# result("base.rotx", t)
# t = timeit.timeit(stmt='base.trotx(0.2, unit="rad")', setup=transforms_setup, number=N)
# result("base.trotx", t)
# t = timeit.timeit(stmt='base.t2r(T1)', setup=transforms_setup, number=N)
# result("base.t2r", t)
# t = timeit.timeit(stmt='base.r2t(R1)', setup=transforms_setup, number=N)
# result("base.r2t", t)
# t = timeit.timeit(stmt='T1 @ T2', setup=transforms_setup, number=N)
# result("4x4 @", t)
# t = timeit.timeit(stmt='T1[:3,:3] @ T2[:3,:3] + T1[:3,:3] @ T2[:3,3]', setup=transforms_setup, number=N)
# result("R1*R2, R1*t", t)
# t = timeit.timeit(stmt='(Rt1.R @ Rt2.R, Rt1.R @ Rt2.t)', setup=transforms_setup, number=N)
# result("T1 * T2 (R, t)", t)
# t = timeit.timeit(stmt='base.trinv(T1)', setup=transforms_setup, number=N)
# result("base.trinv", t)
# t = timeit.timeit(stmt='(Rt1.R.T, -Rt1.R.T @ Rt1.t)', setup=transforms_setup, number=N)
# result("base.trinv (R,t)", t)
# t = timeit.timeit(stmt='np.linalg.inv(T1)', setup=transforms_setup, number=N)
# result("np.linalg.inv", t)
# t = timeit.timeit(stmt='T1 @ v2', setup=transforms_setup, number=N)
# result("(4,4) * (4,)", t)
# # ------------------------------------------------------------------------- #
# table.rule()
# t = timeit.timeit(stmt='SE3()', setup=transforms_setup, number=N)
# result("SE3()", t)
# t = timeit.timeit(stmt='SE3.Rx(0.2)', setup=transforms_setup, number=N)
# result("SE3.Rx()", t)
# t = timeit.timeit(stmt='T1[:3,:3]', setup=transforms_setup, number=N)
# result("T1[:3,:3]", t)
# t = timeit.timeit(stmt='X1.A', setup=transforms_setup, number=N)
# result("SE3.A", t)
# t = timeit.timeit(stmt='SE3(T1)', setup=transforms_setup, number=N)
# result("SE3(T1)", t)
# t = timeit.timeit(stmt='SE3(T1, check=False)', setup=transforms_setup, number=N)
# result("SE3(T1 check=False)", t)
# t = timeit.timeit(stmt='SE3([T1], check=False)', setup=transforms_setup, number=N)
# result("SE3([T1])", t)
# t = timeit.timeit(stmt='X1 * X2', setup=transforms_setup, number=N)
# result("SE3 * SE3", t)
# t = timeit.timeit(stmt='X1.inv()', setup=transforms_setup, number=N)
# result("SE3.inv", t)
# t = timeit.timeit(stmt='X1 * v', setup=transforms_setup, number=N)
# result("SE3 * v", t)
# t = timeit.timeit(stmt='a = X1.log()', setup=transforms_setup, number=N)
# result("SE3.log()", t)
# # ------------------------------------------------------------------------- #
# quat_setup = '''
# from spatialmath import base
# from spatialmath import UnitQuaternion
# import numpy as np
# q1 = base.rand()
# q2 = base.rand()
# v = np.r_[1,2,3]
# Q1 = UnitQuaternion.Rx(0.2)
# Q2 = UnitQuaternion.Ry(0.3)
# '''
# table.rule()
# t = timeit.timeit(stmt='a = UnitQuaternion()', setup=quat_setup, number=N)
# result("UnitQuaternion() ", t)
# t = timeit.timeit(stmt='a = UnitQuaternion.Rx(0.2)', setup=quat_setup, number=N)
# result("UnitQuaternion.Rx ", t)
# t = timeit.timeit(stmt='a = Q1 * Q2', setup=quat_setup, number=N)
# result("UnitQuaternion * UnitQuaternion", t)
# t = timeit.timeit(stmt='a = Q1 * v', setup=quat_setup, number=N)
# result("UnitQuaternion * v", t)
# t = timeit.timeit(stmt='a = base.qqmul(q1,q2)', setup=quat_setup, number=N)
# result("base.qqmul", t)
# t = timeit.timeit(stmt='a = base.qvmul(q1,v)', setup=quat_setup, number=N)
# result("base.qvmul", t)
# # ------------------------------------------------------------------------- #
# twist_setup = '''
# from spatialmath import SE3, Twist3
# from spatialmath import base
# import numpy as np
# from math import cos
# S1 = SE3.Rand().Twist3()
# S2 = SE3.Rand().Twist3()
# X1 = SE3.Rand()
# T1 = X1.A
# A1 = X1.Ad()
# se3 = S1.se3()
# s = np.r_[1,2,3,4,5,6]
# v = np.r_[1,2,3]
# '''
# table.rule()
# t = timeit.timeit(stmt='a = Twist3()', setup=twist_setup, number=N)
# result("Twist3()", t)
# t = timeit.timeit(stmt='a = X1.Twist3()', setup=twist_setup, number=N)
# result("SE3.Twist3()", t)
# t = timeit.timeit(stmt='a = S1 * S2', setup=twist_setup, number=N)
# result("Twist3 * Twist3", t)
# t = timeit.timeit(stmt='a = S1.inv()', setup=twist_setup, number=N)
# result("Twist3.inv()", t)
# t = timeit.timeit(stmt='a = S1.Ad()', setup=twist_setup, number=N)
# result("Twist3.Ad()", t)
# t = timeit.timeit(stmt='a = S1.exp(1)', setup=twist_setup, number=N)
# result("Twist3.Exp()", t)
# t = timeit.timeit(stmt='a = base.skewa(v)', setup=twist_setup, number=N)
# result("skew", t)
# t = timeit.timeit(stmt='a = base.skewa(s)', setup=twist_setup, number=N)
# result("skewa", t)
# t = timeit.timeit(stmt='a = base.vexa(se3)', setup=twist_setup, number=N)
# result("vexa", t)
# t = timeit.timeit(stmt='a = base.trlog(T1)', setup=twist_setup, number=N)
# result("trlog", t)
# t = timeit.timeit(stmt='a = base.trlog(T1, twist=True)', setup=twist_setup, number=N)
# result("trlog as twist", t)
# t = timeit.timeit(stmt='a = base.trexp(se3)', setup=twist_setup, number=N)
# result("trexp", t)
# t = timeit.timeit(stmt='a = A1 @ s', setup=twist_setup, number=N)
# result("(6,6) * (6,)", t)
# t = timeit.timeit(stmt='a = base.rodrigues(v)', setup=twist_setup, number=N)
# result("rodrigues", t)
# t = timeit.timeit(stmt='a = cos(0.3)', setup=twist_setup, number=N)
# result("math.cos", t)
# t = timeit.timeit(stmt='a = np.cos(0.3)', setup=twist_setup, number=N)
# result("np.cos", t)
# ------------------------------------------------------------------------- #
misc_setup = '''
from spatialmath import base
import numpy as np
s = np.r_[1.0,2,3,4,5,6]
s3 = np.r_[1.0,2,3]
a = np.r_[1.0, 2.0, 3.0]
b = np.r_[-5.0, 4.0, 3.0]
'''
table.rule()
t = timeit.timeit(stmt='c = np.cross(a,b)', setup=misc_setup, number=N)
result("np.cross()", t)
t = timeit.timeit(stmt='c = base.cross(a,b)', setup=misc_setup, number=N)
result("cross()", t)
t = timeit.timeit(stmt='a = np.inner(s,s).sum()', setup=misc_setup, number=N)
result("inner()", t)
t = timeit.timeit(stmt='a = np.linalg.norm(s) ** 2', setup=misc_setup, number=N)
result("np.norm**2", t)
t = timeit.timeit(stmt='a = base.normsq(s)', setup=misc_setup, number=N)
result("base.normsq", t)
t = timeit.timeit(stmt='a = (s ** 2).sum()', setup=misc_setup, number=N)
result("s**2.sum()", t)
t = timeit.timeit(stmt='a = np.sum(s ** 2)', setup=misc_setup, number=N)
result("np.sum(s ** 2)", t)
t = timeit.timeit(stmt='a = np.linalg.norm(s)', setup=misc_setup, number=N)
result("np.norm(R6)", t)
t = timeit.timeit(stmt='a = base.norm(s)', setup=misc_setup, number=N)
result("base.norm(R6)", t)
t = timeit.timeit(stmt='a = np.linalg.norm(s3)', setup=misc_setup, number=N)
result("np.norm(R3)", t)
t = timeit.timeit(stmt='a = base.norm(s3)', setup=misc_setup, number=N)
result("base.norm(R3)", t)
table.print()