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					114 lines
				
				3.8 KiB
			
		
		
			
		
	
	
					114 lines
				
				3.8 KiB
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											4 years ago
										 
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								#
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								# Copyright 2019 Gianluca Frison, Dimitris Kouzoupis, Robin Verschueren,
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								# Andrea Zanelli, Niels van Duijkeren, Jonathan Frey, Tommaso Sartor,
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								# Branimir Novoselnik, Rien Quirynen, Rezart Qelibari, Dang Doan,
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								# Jonas Koenemann, Yutao Chen, Tobias Schöls, Jonas Schlagenhauf, Moritz Diehl
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								#
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								# This file is part of acados.
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								#
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								# The 2-Clause BSD License
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								#
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								# Redistribution and use in source and binary forms, with or without
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								# modification, are permitted provided that the following conditions are met:
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								#
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								# 1. Redistributions of source code must retain the above copyright notice,
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								# this list of conditions and the following disclaimer.
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								#
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								# 2. Redistributions in binary form must reproduce the above copyright notice,
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								# this list of conditions and the following disclaimer in the documentation
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								# and/or other materials provided with the distribution.
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								#
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								# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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								# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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								# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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								# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
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								# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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								# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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								# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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								# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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								# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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								# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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								# POSSIBILITY OF SUCH DAMAGE.;
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								#
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								import os
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								from casadi import *
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								from .utils import ALLOWED_CASADI_VERSIONS, casadi_length, casadi_version_warning
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								def generate_c_code_nls_cost( model, cost_name, stage_type, opts ):
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								    casadi_version = CasadiMeta.version()
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								    casadi_opts = dict(mex=False, casadi_int='int', casadi_real='double')
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								    if casadi_version not in (ALLOWED_CASADI_VERSIONS):
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								        casadi_version_warning(casadi_version)
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								    x = model.x
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								    p = model.p
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								    if isinstance(x, casadi.MX):
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								        symbol = MX.sym
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								    else:
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								        symbol = SX.sym
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								    if stage_type == 'terminal':
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								        middle_name = '_cost_y_e'
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								        u = symbol('u', 0, 0)
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								        cost_expr = model.cost_y_expr_e
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								    elif stage_type == 'initial':
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								        middle_name = '_cost_y_0'
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								        u = model.u
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								        cost_expr = model.cost_y_expr_0
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								    elif stage_type == 'path':
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								        middle_name = '_cost_y'
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								        u = model.u
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								        cost_expr = model.cost_y_expr
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								    # set up directory
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								    code_export_dir = opts["code_export_directory"]
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								    if not os.path.exists(code_export_dir):
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								        os.makedirs(code_export_dir)
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								    cwd = os.getcwd()
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								    os.chdir(code_export_dir)
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								    gen_dir = cost_name + '_cost'
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								    if not os.path.exists(gen_dir):
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								        os.mkdir(gen_dir)
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								    gen_dir_location = './' + gen_dir
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								    os.chdir(gen_dir_location)
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								    # set up expressions
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								    cost_jac_expr = transpose(jacobian(cost_expr, vertcat(u, x)))
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								    ny = casadi_length(cost_expr)
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								    y = symbol('y', ny, 1)
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								    y_adj = jtimes(cost_expr, vertcat(u, x), y, True)
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								    y_hess = jacobian(y_adj, vertcat(u, x))
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								    ## generate C code
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								    suffix_name = '_fun'
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								    fun_name = cost_name + middle_name + suffix_name
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								    y_fun = Function( fun_name, [x, u, p], \
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								            [ cost_expr ])
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								    y_fun.generate( fun_name, casadi_opts )
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								    suffix_name = '_fun_jac_ut_xt'
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								    fun_name = cost_name + middle_name + suffix_name
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								    y_fun_jac_ut_xt = Function(fun_name, [x, u, p], \
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								            [ cost_expr, cost_jac_expr ])
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								    y_fun_jac_ut_xt.generate( fun_name, casadi_opts )
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								    suffix_name = '_hess'
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								    fun_name = cost_name + middle_name + suffix_name
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								    y_hess = Function(fun_name, [x, u, y, p], [ y_hess ])
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								    y_hess.generate( fun_name, casadi_opts )
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								    os.chdir(cwd)
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								    return
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