Created
June 28, 2017 16:25
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codegen with derivatives
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from casadi import * | |
# Simple function: | |
x = SX.sym('x',2) | |
y = SX.sym('f',2) | |
F = Function('F', [x,y],[sin(x)*cos(y), dot(x,y)], ['x','y'], ['f','g']) | |
# Generate code, including derivatives | |
CG = CodeGenerator('F') | |
CG.add(F) | |
CG.add(F.forward(1)) | |
CG.add(F.forward(2)) | |
CG.add(F.forward(4)) | |
CG.add(F.forward(8)) | |
CG.add(F.reverse(1)) | |
CG.add(F.reverse(2)) | |
CG.add(F.reverse(4)) | |
CG.add(F.reverse(8)) | |
CG.add(F.jacobian()) | |
print(CG.generate()) # F.c | |
# Compile | |
from os import system | |
system('gcc -fPIC -shared -O3 F.c -o F.so') | |
# Load as external function | |
Fex = external('F') | |
# Embed in an algorithm | |
a = MX.sym('a', 2) | |
f,g = Fex(a, a) | |
J = jacobian(f, a) | |
Jfun = Function('Jfun', [a], [J, f, g], ['a'], ['J', 'f', 'g']) | |
print(Jfun.generate()) # Jfun.c | |
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