How to save a model file in memory rather than disk?

Answered

Jin Chengneng

March 13, 2023 07:24

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Dear all,

I am currently working on a large model and I am seeking your expertise on a matter. Currently, we construct the model in C++, but we need to add some constraints in Python. We then save the model as an MPS file in C++, which we then read in Python. Unfortunately, this process is taking up a significant amount of time.

I am wondering if anyone has any suggestions on how to optimize this process. Is there a way to store the model in memory rather than writing and reading it from a disk?

Thank you for your time and I appreciate any suggestions you may have.

Best regards,

Jin

Related to

• C++
• Python

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• Official comment

  

  Simranjit Kaur

  • Gurobi Staff

  November 13, 2026 01:47

  This post is more than two years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum, or try Gurobot, our chatbot interface offering instant, expert-level support.
• 

  Mario Ruthmair

  • Gurobi Staff

  March 13, 2023 10:47

  Hi Jin,

  Since it is usually not allowed to access the memory of a different process, here are some suggestions:

  • If you have enough memory, you could create a RAM-disk in your operating system, i.e., an area in your memory that behaves like a normal disk and has a path. Then you can write/read the MPS file to this RAM-disk.
  • You could communicate between the C++ and the Python process via REST (or something else) to send the model details from C++ to Python.
  • It might make sense to construct the whole model either in C++ or Python and just transfer the data needed for the model formulation.

  Best regards,
  Mario

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