Tool to compare solving LP JSON datasets with apis/modelers #81
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| - [https://jump.dev/JuMP.jl/stable/packages/cuOpt/](https://jump.dev/JuMP.jl/stable/packages/cuOpt/) | ||
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| ### Environment Setup | ||
| For C and Julia APIs, set the library path: |
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Suggested change
| For C and Julia APIs, set the library path: | |
| For C and Julia APIs, set the library path, | |
| Conda: |
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Awesome work @tmckayus have a minor set of comments, also had a request, lets add an option to install all the required libraries through a requirements.txt file so users can install these directly.
| ```bash | ||
| export LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH | ||
| ``` | ||
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| Pip: | |
| ```bash | |
| export LD_LIBRARY_PATH=COMPLETE_PATH_TO_libcuopt.so |
| #!/usr/bin/env python3 | ||
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| # SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # noqa | ||
| # SPDX-License-Identifier: Apache-2.0 |
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Lets change the license to MIT
| #!/usr/bin/env python3 | ||
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| # SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # noqa | ||
| # SPDX-License-Identifier: Apache-2.0 |
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Same as above, use MIT license
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| # Makefile for cuOpt JSON to C API | |||
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| # Build Guide for cuOpt JSON to C API | |||
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Do we need to build c_api_driver or it will get built as part of benchmark script ?
also fix verbose flag in benchmark script for cvxpy
If env var CUOPT_EXTRA_TIMESTAMPS is set, cuopt will emit extra timestamps to use for timing. If the extra timestamps are not present, fall back on overall run time and reported solver time.
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This change includes applications to read a cuOpt LP/MIP dataset in JSON format and solve the problem using a particular API or modeling language. Additionally, there is a benchmark script to compare running the problem across the various APIs and modelers. This can be used to examine the overhead differences and any objective value differences between the various interfaces.