Add regression testing

regression/README.md

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+# Cuopt Regression Testing
+
+
+
+## Getting started
+
+To make it easy for you to get started with GitLab, here's a list of recommended next steps.
+
+Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
+
+## Add your files
+
+- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
+- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
+
+```
+cd existing_repo
+git remote add origin https://gitlab-master.nvidia.com/ramakrishnap/cuopt-regression-testing.git
+git branch -M main
+git push -uf origin main
+```
+
+## Integrate with your tools
+
+- [ ] [Set up project integrations](https://gitlab-master.nvidia.com/ramakrishnap/cuopt-regression-testing/-/settings/integrations)
+
+## Collaborate with your team
+
+- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
+- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
+- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
+- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
+- [ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
+
+## Test and Deploy
+
+Use the built-in continuous integration in GitLab.
+
+- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
+- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
+- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
+- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
+- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
+
+***
+
+# Editing this README
+
+When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
+
+## Suggestions for a good README
+Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
+
+## Name
+Choose a self-explaining name for your project.
+
+## Description
+Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
+
+## Badges
+On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
+
+## Visuals
+Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
+
+## Installation
+Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
+
+## Usage
+Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
+
+## Support
+Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
+
+## Roadmap
+If you have ideas for releases in the future, it is a good idea to list them in the README.
+
+## Contributing
+State if you are open to contributions and what your requirements are for accepting them.
+
+For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
+
+You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
+
+## Authors and acknowledgment
+Show your appreciation to those who have contributed to the project.
+
+## License
+For open source projects, say how it is licensed.
+
+## Project status
+If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.

regression/benchmark_scripts/benchmark.py

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+# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
+#
+# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
+# property and proprietary rights in and to this material, related
+# documentation and any modifications thereto. Any use, reproduction,
+# disclosure or distribution of this material and related documentation
+# without an express license agreement from NVIDIA CORPORATION or
+# its affiliates is strictly prohibited.
+
+import os
+from multiprocessing import Process
+#from utils import get_configuration, LPMetrics, RoutingMetrics
+#from cuopt import linear_programming
+#from cuopt import routing
+#from cuopt import utilities
+import rmm
+import time
+import pandas as pd
+import glob
+import logging as log
+from datetime import datetime
+import os
+import argparse
+
+log.getLogger().setLevel(log.INFO)
+
+def create_regression_markdown(data, regression_path, test_type_string):
+    regression_md_file = regression_path + "/" + test_type_string + "_regressions.md" 
+
+    md_data = "*No regressions*"
+    # This to reduce size of slack message
+    limit_no_of_regression_list = 5
+
+    if len(data) > 0:
+        status = "*!! Regressions found !!*"
+        end_msg = "\n*Continues ...*" if len(data) > limit_no_of_regression_list else ""
+        table = data[:limit_no_of_regression_list].to_string(index=False)
+        md_data = status + f'\n```\n{table}\n```' + end_msg
+
+    with open(regression_md_file, "w") as fp:
+        fp.write(md_data)
+
+def record_regressions(test_name, data, req_metrics, regression_path, test_type_string):
+
+    regression_file = regression_path + "/" + test_type_string + "_regressions.csv"
+
+    regression_df = pd.DataFrame({"Test Name":[], "Metric Name":[], "Value":[], "Avg Value":[], "Regression(%)":[]})
+    for name in req_metrics:
+        if name.startswith("bks_change_"):
+            pchange = data[name].iloc[-1].item()
+            metric_name = name.replace("bks_change_", "")
+            limit = req_metrics[metric_name]["bks"].get("threshold", 5)
+            prev_val_mean = pchange
+            latest_val = pchange
+        else:
+            limit = req_metrics[name].get("threshold", 5)
+            prev_val_mean = data[name][:-1][-30:].mean().item() if len(data) > 1 else data[name].iloc[-1].item()
+            latest_val = data[name].iloc[-1].item()
+
+            if prev_val_mean == 0:
+                pchange = latest_val
+            else:
+                pchange = ((latest_val - prev_val_mean)/prev_val_mean) * 100
+
+        if abs(pchange) >= limit:
+            regression_df.loc[len(regression_df)] = [test_name, name, latest_val, prev_val_mean, pchange]
+
+    regression_df.to_csv(regression_file)
+    create_regression_markdown(regression_df, regression_path, test_type_string)
+
+def get_bks_change(
+    metrics, required_metrics
+):
+    bks_metrics = {}
+    for metric, value in required_metrics.items():
+        if "bks" in value.keys():
+            bks = value["bks"]["value"]
+            if bks == None:
+                continue
+            current = metrics[metric]
+            if bks == 0:
+                bks_metrics["bks_change_" + metric] = abs(current) * 100
+            elif current == 0:
+                bks_metrics["bks_change_" + metric] = abs(bks) * 100
+            else:
+                bks_metrics["bks_change_" + metric] = abs(((current - bks)/bks) * 100)
+
+    return bks_metrics
+
+def record_result(
+    test_name, metrics, required_metrics, csv_path, test_type_string
+):
+    file_path = csv_path + "/"
+    if test_type_string=="lp" or test_type_string=="mip":
+        file_path += test_type_string + "_" + test_name + ".csv"
+    else:
+        file_path += test_name + ".csv"
+    bks_metrics = get_bks_change(metrics, required_metrics)
+
+    # Add default metrics to data
+    required_metrics.update(bks_metrics)
+    metrics.update(bks_metrics)
+    req_metrics = list(required_metrics.keys()) + ["date_time", "git_commit"]
+
+    current_data = pd.DataFrame({key : [metrics[key]] for key in sorted(req_metrics)})
+    if os.path.isfile(file_path):
+        previous_data = pd.read_csv(file_path, index_col=0)
+        updated_data = pd.concat([previous_data, current_data], ignore_index=True)
+    else:
+        updated_data = current_data
+    record_regressions(test_name, updated_data, required_metrics, csv_path, test_type_string)
+    updated_data.to_csv(file_path)
+
+
+def run_benchmark(
+    test_name,
+    data_model,
+    solver_settings,
+    required_metrics,
+    csv_path,
+    git_commit,
+    test_status_file,
+    d_type
+):
+    import rmm
+    mr = rmm.mr.get_current_device_resource()
+
+    from utils import LPMetrics, RoutingMetrics
+    from cuopt import linear_programming
+    from cuopt import routing
+
+    start_time = time.time()
+    if d_type=="lp" or d_type=="mip":
+        metrics = LPMetrics()._asdict()
+        solver_settings.set_parameter("infeasibility_detection", False)
+        solver_settings.set_parameter("time_limit", 60)
+        solution = linear_programming.Solve(data_model, solver_settings)
+    else:
+        metrics = RoutingMetrics()._asdict()
+        solution = routing.Solve(data_model)
+    end_time = time.time()
+
+    metrics["gpu_memory_usage"] = int(mr.allocation_counts.peak_bytes/(1024*1024))
+    metrics["date_time"] = datetime.now().strftime("%m_%d_%Y_%H_%M_%S")
+    metrics["git_commit"] = git_commit
+
+    success_status = False
+
+    if d_type=="lp" or d_type=="mip":
+        ## Optimal solution
+        acceptable_termination = ["Optimal", "TimeLimit", "FeasibleFound"]
+        if solution.get_termination_reason() in acceptable_termination:
+            success_status = True
+            metrics["solver_time"] = solution.get_solve_time()
+            metrics["primal_objective_value"] = solution.get_primal_objective()
+            if d_type == "lp":
+                lp_stats = solution.get_lp_stats()
+                metrics["nb_iterations"] = lp_stats["nb_iterations"]
+            else:
+                milp_stats = solution.get_milp_stats()
+                metrics["mip_gap"] = milp_stats["mip_gap"]
+                metrics["max_constraint_violation"] = milp_stats["max_constraint_violation"]
+                metrics["max_int_violation"] = milp_stats["max_int_violation"]
+                metrics["max_variable_bound_violation"] = milp_stats["max_variable_bound_violation"]
+            record_result(test_name, metrics, required_metrics, csv_path, d_type)
+    else:
+        if solution.get_status() == 0:
+            success_status = True
+            metrics["solver_time"] = end_time - start_time
+            metrics["total_objective_value"] = solution.get_total_objective()
+            metrics["vehicle_count"] = solution.get_vehicle_count()
+
+            objectives = solution.get_objective_values()
+            if "prize" in required_metrics:
+                metrics["prize"] = objectives[routing.Objective.PRIZE]
+            if "cost" in required_metrics:
+                metrics["cost"] = objectives[routing.Objective.COST]
+            if "travel_time" in required_metrics:
+                metrics["travel_time"] = objectives[routing.Objective.TRAVEL_TIME]
+            record_result(test_name, metrics, required_metrics, csv_path, d_type)
+    return "SUCCESS" if success_status is True else "FAILED"
+
+def reinitialize_rmm():
+
+    pool_size = 2**30
+    rmm.reinitialize(pool_allocator=True, initial_pool_size=pool_size)
+
+    base_mr = rmm.mr.get_current_device_resource()
+    stats_mr = rmm.mr.StatisticsResourceAdaptor(base_mr)
+    rmm.mr.set_current_device_resource(stats_mr)
+
+    return base_mr, stats_mr
+
+
+def worker(gpu_id, dataset_file_path, csv_path, git_commit, log_path, test_status_file, n_gpus, d_type="routing"):
+    import os
+    os.environ["CUDA_VISIBLE_DEVICES"] = gpu_id
+
+    import glob
+    from utils import get_configuration
+    data_files = []
+    if d_type == "lp" or d_type == "mip":
+        data_files = glob.glob(dataset_file_path + "/*.mps")
+    else:
+        data_files = glob.glob(dataset_file_path + "/*_config.json")
+    idx = int(gpu_id)
+    n_files = 1 #len(data_files)
+
+    while idx < n_files:
+        mr, stats_mr = reinitialize_rmm()
+        from rmm._cuda.gpu import CUDARuntimeError, getDevice, setDevice
+
+        data_file = data_files[idx]
+        test_name = str(data_file)
+        status = "FAILED"
+        try:
+            test_name, data_model, solver_settings, requested_metrics = get_configuration(data_file, dataset_file_path, d_type)
+            log.basicConfig(level=log.INFO, filename=log_path+"/"+test_name+"_log.txt", filemode="a+",
+                        format="%(asctime)-15s %(levelname)-8s %(message)s")
+            log.getLogger().setLevel(log.INFO)
+            log.info(f"------------- Test Start : {test_name} gpu id : {gpu_id} -------------------")
+            status = run_benchmark(
+                test_name,
+                data_model,
+                solver_settings,
+                requested_metrics,
+                csv_path,
+                git_commit,
+                test_status_file,
+                d_type
+            )
+        except Exception as e:
+            log.error(str(e))
+
+        with open(test_status_file, "a") as f:
+            f.write("\n")
+            f.write(test_name +": " + status)
+
+        # Delete instance of rmm
+        del mr
+        del stats_mr
+
+        log.info(f"------------- Test End : {test_name} gpu id : {gpu_id} -------------------")
+        idx = idx + n_gpus
+
+
+def run(dataset_file_path, csv_path, git_commit, log_path, test_status_file, n_gpus, d_type):
+    # Restricting n_gpus to one to avoid resource sharing
+    #n_gpus = 1
+    procs = []
+    for gpu_id in range(int(n_gpus)):
+        p = Process(target=worker, args=(str(gpu_id), dataset_file_path, csv_path, git_commit, log_path, test_status_file, int(n_gpus), d_type))
+        p.start()
+        procs.append(p)
+
+    for p in procs:
+        p.join()
+    print("All processes finished.")
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "-c", "--config-path", type=str, help="Path to all configuration file"
+    )
+    parser.add_argument(
+        "-r", "--csv-path", type=str, help="Path to store result files, this would be for github where results gets stored"
+    )
+    parser.add_argument(
+        "-g", "--git-commit", type=str, help="git commit sha to keep track of runs"
+    )
+    parser.add_argument(
+        "-l", "--log-path", type=str, help="Path to log files"
+    )
+    parser.add_argument(
+        "-s", "--test-status-file", type=str, help="All test status will be stored in this file"
+    )
+    parser.add_argument(
+        "-n", "--num-gpus", type=str, help="Number of GPUs available"
+    )
+    parser.add_argument(
+        "-t", "--type", type=str, default="", help="Type of benchmark"
+    )
+    args = parser.parse_args()
+    run(args.config_path, args.csv_path, args.git_commit, args.log_path, args.test_status_file, args.num_gpus, args.type)

regression/benchmark_scripts/configs/README.md

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+# Creating configuration and data file
+
+- For each test, create a configuration file and a corresponding data file.
+- Refer `test_name_confg.json` for the format of the configuration file.
+- Supported metrics can be found in `cuopt/regression/benchmark_scripts/utils.py`
+- File names should start with test names followed by `config` or data depending on type of it.
+- Data file should be as per openapi spec of cuopt server
+- These configuration and data files needs to be uploaded to `s3://cuopt-datasets/regression_datasets/`
+
+   ```
+   aws s3 cp /path/to/files s3://cuopt-datasets/regression_datasets/
+   ```