amici-dev / amici Goto Github PK
View Code? Open in Web Editor NEWAdvanced Multilanguage Interface to CVODES and IDAS
Home Page: https://amici.readthedocs.io/
License: Other
Advanced Multilanguage Interface to CVODES and IDAS
Home Page: https://amici.readthedocs.io/
License: Other
Error using symengine
The dimensions do not match.
Error in sym/privBinaryOp (line 937)
Csym = mupadmex(op,args{1}.s, args{2}.s, varargin{:});
Error in * (line 270)
X = privBinaryOp(A, B, 'symobj::mtimes');
Error in amifun/getSyms (line 499)
this.sym = diff(model.fun.root.sym,'t') +
model.fun.drootdx.sym*model.fun.xdot.sym_noopt;
Error in amimodel/getFun (line 48)
[fun,this] = fun.getSyms(this);
Error in amimodel/checkDeps (line 38)
this.getFun([],deps{id});
Error in amimodel/getFun (line 22)
cflag = this.checkDeps([],fun.deps);
Error in amimodel/checkDeps (line 38)
this.getFun([],deps{id});
Error in amimodel/getFun (line 25)
cflag = this.checkDeps([],fun.deps);
Error in amimodel/checkDeps (line 38)
this.getFun([],deps{id});
Error in amimodel/getFun (line 25)
cflag = this.checkDeps([],fun.deps);
Error in amimodel/parseModel (line 154)
this.getFun(HTable,funs{ifun});
Error in amiwrap (line 73)
model.parseModel();
Error in example_dirac (line 7)
amiwrap('model_dirac','model_dirac_syms',exdir)
====================================
For some reason, model.fun.xdot.sym_noopt is empty...
Currently matlab produces the warning:
Warning: Support of character vectors that are not valid variable names or define a number will be removed in a future release. To create
symbolic expressions, first create symbolic variables and then use operations on them.
This will require changing lots of code and is likely going to break many things in one of the next MATLAB releases.
especially for small models, the passing/initialisation of those object can take considerable amount of time. implement checks for the class to avoid the call to the constructor.
The efficency/size of several functions could be dramatically reduced if we move from actual expressions to Sparse Matrix Vector Multiplication. This would improve vectorisation (this gives us the speedup) and provide more compact formulas (this gives us the size reduction). Also code generation would be faster as it would no longer be necessary to compute respective expressions.
Balancing formula size, readability and execution time is tricky, so think carefully where to apply this.
is this missing or deprecated?
this has not been tested thoroughly yet and might fail
Is the following check in amiwrap.m necessary?
if(exist(symfun,'file') ~= 2)
error(['"' symfun '" must be the name of a matlab function in the matlab path. Please check whether the folder containing "' symfun '" is in the matlab path. AMICI currently does not support absolute or relative paths in its input arguments.'])
end
Amiwrap expects a function name, but checks if the file exists. I think this is an unnecessary limitation.
For example, it limits the use of package functions such as:
'''
amiwrap('bla', 'package.bla', pwd);
'''
I suggest replacing it by try/catch.
those should be evaluated at the end of the time interval and not at the beginning for adjoint sensitivities
make fields in udata struct const and make init_modeldims the constructor.
Include field to parameter type in UserData, apply chain rule factor in amici.cpp, remove respective code from simulate___.m
https://github.com/ICB-DCM/AMICI/blob/master/%40amimodel/generateM.m is shitty copypasta zombiecodewhich repeatedly caused trouble now. Rewrite or move to C part ASAP.
The code for memory cleanup is quite messy at the moment. Especially in the case of error I am not too sure that we do not run into memory leaks. Here the structure should definitely be improved (set flags whether certain parts of the memory have been allocated?)
we now have support for continuous integration (via travis-ci). currently this only builds a pre-generated version of model_dirac, but this should be extended to other models. Moreover we should also implement tests similar to amiexamples.
For the ribosomal transfection model I encounter memory leaks caused by
N_VCloneEmpty_Serial and setupAMI after integrations failures at the discontinuity.
the compver property in amimodel is cumbersome, replace it by checksum over generateC and @amimodel methods.
Actually all the code is in place to fill this field, yet is currently not done for forward sensitivities.
title says it all 😞
In amiwrap and compileC, the following externals are undefined:
__imp___iob_func
__imp_fprintf
__imp_vsprintf
__imp_printf
In addition, sprint is causing a warning, even though stdio.h is imported.
The details are in the attachment.
error-2015-11-14.docx
this can lead to unexpected behaviour. the superclass should be changed from hgetset (handle class) to some value class with similar properties (SolverOptions maybe?)
example_7 and example_8 are DAE models which are not extensively tested yet.
Hello,
I am using AMICI with Matlab R_2016b and Xcode version 8.2.1 for a DAE model. When I call: amiwrap(modelname,’example_model_syms’,dir,o2flag) to compile my model,
Mex completes successfully until I get the following errors:
"deltaqB | Building with 'Xcode Clang++'.
Error using mex
/Users/harry/GitHub/AMICI/models/MEC/MEC_deltaqB.cpp:17:5: error:
use of undeclared identifier 'ip'
for(ip = 0; ip<np; ip++) {
^
/Users/harry/GitHub/AMICI/models/MEC/MEC_deltaqB.cpp:17:13: error:
use of undeclared identifier 'ip'
for(ip = 0; ip<np; ip++) {
^
/Users/harry/GitHub/AMICI/models/MEC/MEC_deltaqB.cpp:17:20: error:
use of undeclared identifier 'ip'
for(ip = 0; ip<np; ip++) {
^
/Users/harry/GitHub/AMICI/models/MEC/MEC_deltaqB.cpp:18:15: error:
use of undeclared identifier 'ip'
switch (plist[ip]) {
^
4 errors generated.
Error in amimodel/compileC (line 379)
eval(['mex ' DEBUG COPT ...
Error in amiwrap (line 90)
model.compileC();"
Every time the MEC_deltaqB.cpp file is generated, it is missing the line:
int ip;
I am not sure why this line is not being generated. It may be a bug or a user error.
Best,
Harry Dudley
The current accessor macros in [eur]data.h are causing trouble when including header files with function prototypes having arguments with the same names as the accessor macros (not unlikely with names as "p" or "k"). This becomes a pain in the ass when including external libraries and using AMICI-generated C-code in bigger projects.
Although tedious, what do you think about prefixing the accessor functions with "AMI(CI)_" and/or write them in uppercase to be clearly identifiable as preprocessor macros?
At the moment it is only possibly to compute (directional) second order sensitivities and in a forward-forward manner. Yet, forward-adjoint methods would be much more efficient.
FATODE (http://people.cs.vt.edu/~asandu/Software/FATODE/index.html) provides explicit and implicit Runge-Kutta methods with support for forward and adjoint sensitivities and rootfinding. I expect that RK methods perform much better for models with many events and for adjoint sensitivities with many timepoints as repeated restarting hurts multi-step methods a lot.
we should define a maximal parameter number for every model somewhere and check against that.
😭
these model options are currently not functional. Either fix them or remove the functionality completely (the differences is relatively small anyways).
for large models recompilation can be slow due to necessary preprocessing of symbolic equations. we can avoid that by saving the model struct as a mat which carries the hash of the syms file in its name. Then we always load the (processed) model unless the syms file changes.
AMICI_guide.pdf
2.1.2 Options
.maxsteps should be 1e4, not 1e-8.
Should noforward and noadjoint be in the table?
We want tests for the following things
Here are my notes, sorry for the length. My workaround for the installToolbox is at the end.
What does “@” mean in “@amimodel”? According to the warning below, this might be a “method directory”, but I can’t find out what that is.
Does installToolbox.m need to run in AMICI directory?
addpath(genpath('auxiliary'))
Warning: Method directories not allowed in MATLAB path: @amimodel
In path (line 109)
In addpath (line 86)
In installToolbox (line 2)
In MakeModels (line 4)
Error using amiwrap (line 23)
symfun must be the name of a matlab function in the matlab path
Error in MakeModels (line 5)
amiwrap('M1Trivial','M1Trivial');
“symfun” has no meaning for user. Documentation calls it “example_model_syms” Simply “parameter 2” would mean more.
Now trying
amiwrap('M1Trivial','models/M1Trivial.m');
Error using eval
Undefined function or variable 'models'.
Error in amimodel (line 93)
model = eval(symfun);
Error in amiwrap (line 55)
model = amimodel(symfun,modelname);
Error in MakeModels (line 5)
amiwrap('M1Trivial','models/M1Trivial.m');
Now I tried renaming “M1Trivial.m” to “M1Trivial_syms.m”.
Same problems.
Now trying:
addpath('AMICI','AMICI/models');
cd('AMICI');
installToolbox;
cd('models');
model=M1Trivial_syms;
cd('..');
amiwrap('M1Trivial',model);
Error:
Error using amiwrap (line 20)
symfun must be a string
Error in MakeModels (line 9)
amiwrap('M1Trivial',model);
That disagrees with the document
Now I have put my make script in the models folder and I am getting much further. There is a problem with an undeclared identifier M_PI.
Error using mex
amiwrap.c
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\include/cvodewrap.h(107): warning C4098: 'AMIFree': 'void' function
returning a value
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(36): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(713): warning C4554: '|': check operator precedence for
possible error; use parentheses to clarify precedence
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(723): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(724): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(731): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(732): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(738): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(739): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(746): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(747): warning C4267: '=': conversion from 'size_t' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(916): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\src/amici.c(920): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(84): warning C4244: '=': conversion from 'double' to 'int',
possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(110): warning C4244: '=': conversion from 'double' to 'int',
possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(115): warning C4244: '=': conversion from 'double' to 'int',
possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(125): warning C4244: '=': conversion from 'double' to 'int',
possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(130): warning C4244: '=': conversion from 'double' to 'int',
possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(136): warning C4244: '=': conversion from 'double' to 'int',
possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(198): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(204): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(267): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(309): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(314): error C2065: 'M_PI': undeclared identifier
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(416): warning C4244: 'function': conversion from 'double' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(417): warning C4244: 'function': conversion from 'double' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(436): warning C4244: 'function': conversion from 'double' to
'int', possible loss of data
C:\Data\Tom\Research\Raedler\mRNA-Helmholtz\Tom\AMICI\amiwrap.c(437): warning C4244: 'function': conversion from 'double' to
'int', possible loss of data
Error in amimodel/compileC (line 381)
eval(['mex ' COPT ' ' CLIBS ' -output ' fullfile(wrap_path,'models',this.modelname,[prefix '_' this.modelname])
' ' fullfile(wrap_path,cstr) includesstr objectsstr ])
Error in amiwrap (line 76)
model.compileC();
Error in MakeModels (line 13)
amiwrap('M1Trivial','M1Trivial');
Workaround for installToolbox:
modelPath=fileparts(mfilename('fullpath'));
cd('..');
amiciPath=pwd;
addpath(amiciPath,modelPath);
% installToolbox;
addpath(fullfile(amiciPath,'auxiliary'));
addpath(fullfile(amiciPath,'auxiliary','datahash'));
% addpath(fullfile(amiciPath,'@amimodel'));
addpath(fullfile(amiciPath,'symbolic'));
cd(modelPath);
occurs for transfection model, first in initHeaviside. Probably what is causing more problems later on.
error test failures -> bad linear solver/jacobian
convergence test failures -> ill-posed rhs
should be included in sol struct for more detailed system analysis
This is due to heaviside(0) = 1/2. We need to explicitely check for those cases in ami_if.
For both toolboxes new versions are available
Moving all MATLAB code to C++ would provide many benefits
a) speedup of symbolic processing
b) better accessibility from other toolboxes
c) easier continuous integration
possible alternatives for the matlab symbolic toolbox are ginac (http://www.ginac.de) and reduce (http://www.reduce-algebra.com). reduce is much more powerful compared to ginac, but written in lisp 😞. For code generation in ginac we could use the routines from http://www.higgs.de/~stefanw/sector_decomposition/
We should turn these structs into proper C++ classes with Functions which parse hdf5 or MATLAB rhs. This will make maintenance easier and improve readability/interpretability of code. We should probably also get rid of these accessor macros.
Note that udata and tempdata are used in C code (model specific functions).
Event triggers that are 0 at timepoint t=t0 should fire their respective events before simulation starts. 6595513 only throws errors in trivial examples, but should be removed once fixed.
It would be really great to have an outport/export function from amidata to csv/xls data aswell as SBRML. The simulation result could then also be saved in the same format.
The simulation of a model is not returning SX or SY. This might be a little bug, or just a user error. Details are in the attachment.
error-2015-11-17.docx
installAMICI
Warning: Name is nonexistent or not a directory:$HOME/src/AMICI.github/auxiliary/datahash
In path (line 109)
In addpath (line 88)
In installAMICI (line 4)
It would be great to have a comment in the simulation routine that indicates the git commit number that was used to generate the simulation routine. This would increase reproducibility and help debugging.
Currently, sensitivities are computed for all model parameters and not only for those that have nonzero state sensitivities. This does not matter too much for small systems but can become problematic for larger systems.
SBML events that make assignments to species with boundaryCondition="true" or constant="true" attributes are not handled correctly as they should only be triggered when the trigger transitions from false to true. Currently, they are also triggered when the trigger transitions from true to false.
This requires substantial rewriting of code as the current handling via heaviside functions cannot be fixed but needs to be replaced by events which can make changes constants. Alternatively we could also keep them as states, which might come at some additional cost but would generally simplify SBML import.
This is not a fringe SBML feature, but can be expected to frequently occur in models that are relevant to us.
Sometimes the model compilation does not work properly, I suppose that this happens as some dependencies of symbolic variables are not correctly set and do not get updated. This will lead to crashing/incorrect simulations. The same goes for compilations that were stopped during the generation of .c files, AMICI should somehow detect and fix this. An easy workaround is deleting the respective folder in the models directory to force the recompilations.
Ideally the dependencies should be checked via a unit test that compiles only parts of the model.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.