From 6b7c220a99ad8278bc31cd05224384d0b739f3cf Mon Sep 17 00:00:00 2001 From: farkguidao <3458767964@qq.com> Date: Tue, 23 Jan 2024 17:41:32 +0800 Subject: [PATCH] Initial commit --- README.md | 87 +++++++ data/hcvrp/hcvrp_v3_100_seed24610.pkl | Bin 0 -> 1577267 bytes data/hcvrp/hcvrp_v3_40_seed24610.pkl | Bin 0 -> 655667 bytes data/hcvrp/hcvrp_v3_60_seed24610.pkl | Bin 0 -> 962867 bytes data/hcvrp/hcvrp_v3_80_seed24610.pkl | Bin 0 -> 1270067 bytes data/hcvrp/hcvrp_v5_100_seed24610.pkl | Bin 0 -> 1597747 bytes data/hcvrp/hcvrp_v5_40_seed24610.pkl | Bin 0 -> 676147 bytes data/hcvrp/hcvrp_v5_60_seed24610.pkl | Bin 0 -> 983347 bytes data/hcvrp/hcvrp_v5_80_seed24610.pkl | Bin 0 -> 1290547 bytes data/hcvrp/hcvrp_v7_100_seed24610.pkl | Bin 0 -> 1618236 bytes data/hcvrp/hcvrp_v7_40_seed24610.pkl | Bin 0 -> 696636 bytes data/hcvrp/hcvrp_v7_60_seed24610.pkl | Bin 0 -> 1003836 bytes data/hcvrp/hcvrp_v7_80_seed24610.pkl | Bin 0 -> 1311036 bytes eval.py | 225 ++++++++++++++++ generate_data.py | 53 ++++ main.py | 0 nets/__init__.py | 0 nets/attention_model.py | 230 +++++++++++++++++ nets/critic_network.py | 40 +++ nets/graph_encoder.py | 210 +++++++++++++++ nets/pointer_network.py | 357 ++++++++++++++++++++++++++ options.py | 95 +++++++ outputs/hcvrp_v5_60/args.json | 46 ++++ outputs/hcvrp_v5_60/epoch-49.pt | Bin 0 -> 33536137 bytes problems/__init__.py | 1 + problems/hcvrp/.gitignore | 1 + problems/hcvrp/__init__.py | 0 problems/hcvrp/hcvrp.py | 193 ++++++++++++++ problems/hcvrp/problem_hcvrp.py | 64 +++++ reinforce_baselines.py | 248 ++++++++++++++++++ run.py | 183 +++++++++++++ train.py | 174 +++++++++++++ utils/__init__.py | 1 + utils/beam_search.py | 222 ++++++++++++++++ utils/boolmask.py | 68 +++++ utils/data_utils.py | 25 ++ utils/functions.py | 214 +++++++++++++++ utils/lexsort.py | 55 ++++ utils/log_utils.py | 24 ++ utils/monkey_patch.py | 70 +++++ utils/tensor_functions.py | 34 +++ 41 files changed, 2920 insertions(+) create mode 100644 README.md create mode 100644 data/hcvrp/hcvrp_v3_100_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v3_40_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v3_60_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v3_80_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v5_100_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v5_40_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v5_60_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v5_80_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v7_100_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v7_40_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v7_60_seed24610.pkl create mode 100644 data/hcvrp/hcvrp_v7_80_seed24610.pkl create mode 100644 eval.py create mode 100644 generate_data.py create mode 100644 main.py create mode 100644 nets/__init__.py create mode 100644 nets/attention_model.py create mode 100644 nets/critic_network.py create mode 100644 nets/graph_encoder.py create mode 100644 nets/pointer_network.py create mode 100644 options.py create mode 100644 outputs/hcvrp_v5_60/args.json create mode 100644 outputs/hcvrp_v5_60/epoch-49.pt create mode 100644 problems/__init__.py create mode 100644 problems/hcvrp/.gitignore create mode 100644 problems/hcvrp/__init__.py create mode 100644 problems/hcvrp/hcvrp.py create mode 100644 problems/hcvrp/problem_hcvrp.py create mode 100644 reinforce_baselines.py create mode 100644 run.py create mode 100644 train.py create mode 100644 utils/__init__.py create mode 100644 utils/beam_search.py create mode 100644 utils/boolmask.py create mode 100644 utils/data_utils.py create mode 100644 utils/functions.py create mode 100644 utils/lexsort.py create mode 100644 utils/log_utils.py create mode 100644 utils/monkey_patch.py create mode 100644 utils/tensor_functions.py diff --git a/README.md b/README.md new file mode 100644 index 0000000..ae63296 --- /dev/null +++ b/README.md @@ -0,0 +1,87 @@ +# 2D-Ptr +Source code for paper "2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem" + +## Dependencies + +- Python>=3.8 +- NumPy +- SciPy +- [PyTorch](http://pytorch.org/)>=1.12.1 +- tqdm +- [tensorboard_logger](https://github.com/TeamHG-Memex/tensorboard_logger) + +## Quick start + +The implementation of the 2D-Ptr model is mainly in the file `./nets/attention_model.py` + +For testing HCVRP instances with 60 customers and 5 vehicles (V5-U60) and using pre-trained model: + +```shell +# greedy +python eval.py data/hcvrp/hcvrp_v5_60_seed24610.pkl --model outputs/hcvrp_v5_60 --obj min-max --decode_strategy greedy --eval_batch_size 1 +# sample1280 +python eval.py data/hcvrp/hcvrp_v5_60_seed24610.pkl --model outputs/hcvrp_v5_60 --obj min-max --decode_strategy sample --width 1280 --eval_batch_size 1 +# sample12800 +python eval.py data/hcvrp/hcvrp_v5_60_seed24610.pkl --model outputs/hcvrp_v5_60 --obj min-max --decode_strategy sample --width 12800 --eval_batch_size 1 +``` + +Since AAMAS limits the submission file size within 25Mb, we can only provide the pre-trained model on V5-U60 to avoid exceeding the limit. + +## Usage + +### Generating data + +We have provided all the well-generated test datasets in `./data`, and you can also generate each test set by: + +```shell +python generate_data.py --dataset_size 1280 --veh_num 3 --graph_size 40 +``` + +- The `--graph_size` and `--veh_num` represent the number of customers , vehicles and generated instances, respectively. + +- The default random seed is 24610, and you can change it in `./generate_data.py`. +- The test set will be stored in `./data/hcvrp/` + +### Training + +For training HCVRP instances with 40 customers and 3 vehicles (V3-U40): + +```shell +python run.py --graph_size 40 --veh_num 3 --baseline rollout --run_name hcvrp_v3_40_rollout --obj min-max +``` + +- `--run_name` will be automatically appended with a timestamp, as the unique subpath for logs and checkpoints. +- The log based on Tensorboard will be stored in `./log/`, and the checkpoint (or the well-trained model) will be stored in `./outputs/` +- `--obj` represents the objective function, supporting `min-max` and `min-sum` + +By default, training will happen on all available GPUs. Change the code in `./run.py` to only use specific GPUs: + +```python +if __name__ == "__main__": + warnings.filterwarnings('ignore') + # os.environ["CUDA_VISIBLE_DEVICES"] = "0" + run(get_options()) +``` + +### Evaluation + +you can test a well-trained model on HCVRP instances with any problem size: + +```shell +# greedy +python eval.py data/hcvrp/hcvrp_v3_40_seed24610.pkl --model outputs/hcvrp_v3_40 --obj min-max --decode_strategy greedy --eval_batch_size 1 +# sample1280 +python eval.py data/hcvrp/hcvrp_v3_40_seed24610.pkl --model outputs/hcvrp_v3_40 --obj min-max --decode_strategy sample --width 1280 --eval_batch_size 1 +# sample12800 +python eval.py data/hcvrp/hcvrp_v3_40_seed24610.pkl --model outputs/hcvrp_v3_40 --obj min-max --decode_strategy sample --width 12800 --eval_batch_size 1 +``` + +- The `--model` represents the directory where the used model is located. +- The `$filename$.pkl` represents the test set. +- The `--width` represents sampling number, which is only available 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