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alphaville / optimization-engine

Nonconvex embedded optimization: code generation for fast real-time optimization

Home Page:https://alphaville.github.io/optimization-engine/

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An error "linking with link.exe failed: exit code: 1104"

MuXingchui opened this issue · comments

commented

I got an error: "linking with link.exe failed: exit code: 1104", when I compile the program with VSCode.
My program is Python. When I build the optimization solver, I got the error:

error: linking with `link.exe` failed: exit code: 1104

note: Non-UTF-8 output: LINK : fatal error LNK1104: cannot open file “D:\***\mpc-trajectory-generator-master\mpc_build\mpc_navigation\tcp_iface_mpc_navigation\target\release\build\num-traits-abea29fdb848ac61\build_script_build-abea29fdb848ac61.exe”

Besides, my environment:

Python: 3.7.16
OpenGen: 0.6.4
Rustc: 1.67.1 (d5a82bbd2 2023-02-07)
cargo: 1.67.1 (8ecd4f20a 2023-01-10)

I don't know what's wrong, please help me

commented

Well, I know what's wrong: my file path is to long. See here for details.
But when I build the TCP interface, it has another error:

error[E0432]: unresolved import `clap::App`
  --> src\main.rs:16:17
   |
16 | use clap::{Arg, App};
   |                 ^^^ no `App` in the root

error: cannot find macro `value_t` in this scope
   --> src\main.rs:263:16
    |
263 |     let port = value_t!(matches, "port", u32).unwrap_or(BIND_PORT_DEFAULT);
    |

Is there something I've overlooked?
Is there a way to get this working?
Thanks!

commented

@MuXingchui can you please provide some more details about this? Can you provide a minimal reproducible example?

commented

@MuXingchui can you please provide some more details about this? Can you provide a minimal reproducible example?

Thank you for your reply! Refer to #259 , I know why. Then I updated my OpEn to the latest version, my project works good.

commented

@MuXingchui can you please provide some more details about this? Can you provide a minimal reproducible example?

Hello @alphaville, I have another question. Does MATLAB interface has the option ".with_aug_lagrangian_constraints"?
Where can I find all MATLAB interfaces ?

commented

No, unfortunately it doesn't. I've put a warning about this here. It's not difficult to support this, but I currently don't have the time to work on this.

A workaround could be to design your optimiser in Python and then just use it from MATLAB.

commented

Understood. But how to call the already built solver by Python in MATLAB?

commented

You can use the TCP interface. I mean, you can crate a solver in Python and use .with_tcp_interface_config() (see here).

The TCP server just expects to receive a JSON-formatted string with the parameter, p, and returns another JSON-formatted string with the solution and various statistics (solver time, infeasibilities, etc). The communication protocol is described here.

I can easily make a little MATLAB function or class that will allow you to call from MATLAB an optimiser that has been created in Python. Would that be of interest?

commented

You can use the TCP interface. I mean, you can crate a solver in Python and use .with_tcp_interface_config() (see here).

The TCP server just expects to receive a JSON-formatted string with the parameter, p, and returns another JSON-formatted string with the solution and various statistics (solver time, infeasibilities, etc). The communication protocol is described here.

I can easily make a little MATLAB function or class that will allow you to call from MATLAB an optimiser that has been created in Python. Would that be of interest?

It is clear! I will try it. Sincere thanks for your guidance! :)