0308circle

circle_shell_and_generation/generate_data.py

@@ -0,0 +1,172 @@
+import argparse
+import os
+import numpy as np
+from utils.data_utils import check_extension, save_dataset
+
+
+def generate_tsp_data(dataset_size, tsp_size):
+    return np.random.uniform(size=(dataset_size, tsp_size, 2)).tolist()
+
+
+def generate_vrp_data(dataset_size, vrp_size):
+    CAPACITIES = {
+        10: 20.,
+        20: 30.,
+        50: 40.,
+        75: 45.,
+        100: 50.
+    }
+    theta = 2*np.pi * np.random.uniform(size = (dataset_size, vrp_size))
+    data_point = 0.5*np.ones((dataset_size, vrp_size, 2)) + np.stack([ 0.5* np.cos(theta), 0.5* np.sin(theta)], axis = 2)    
+    demand_point = CAPACITIES[vrp_size]/vrp_size* np.ones((dataset_size, vrp_size))
+
+    return list(zip(
+        (0.5*np.ones((dataset_size, 2))).tolist(),  # Depot location
+        data_point.tolist(),  # Node locations
+        demand_point.tolist(),  # Demand, uniform integer 1 ... 9
+        np.full(dataset_size, CAPACITIES[vrp_size]).tolist()  # Capacity, same for whole dataset
+    ))
+
+
+def generate_op_data(dataset_size, op_size, prize_type='const'):
+    depot = np.random.uniform(size=(dataset_size, 2))
+    loc = np.random.uniform(size=(dataset_size, op_size, 2))
+
+    # Methods taken from Fischetti et al. 1998
+    if prize_type == 'const':
+        prize = np.ones((dataset_size, op_size))
+    elif prize_type == 'unif':
+        prize = (1 + np.random.randint(0, 100, size=(dataset_size, op_size))) / 100.
+    else:  # Based on distance to depot
+        assert prize_type == 'dist'
+        prize_ = np.linalg.norm(depot[:, None, :] - loc, axis=-1)
+        prize = (1 + (prize_ / prize_.max(axis=-1, keepdims=True) * 99).astype(int)) / 100.
+
+    # Max length is approximately half of optimal TSP tour, such that half (a bit more) of the nodes can be visited
+    # which is maximally difficult as this has the largest number of possibilities
+    MAX_LENGTHS = {
+        20: 2.,
+        50: 3.,
+        100: 4.
+    }
+
+    return list(zip(
+        depot.tolist(),
+        loc.tolist(),
+        prize.tolist(),
+        np.full(dataset_size, MAX_LENGTHS[op_size]).tolist()  # Capacity, same for whole dataset
+    ))
+
+
+def generate_pctsp_data(dataset_size, pctsp_size, penalty_factor=3):
+    depot = np.random.uniform(size=(dataset_size, 2))
+    loc = np.random.uniform(size=(dataset_size, pctsp_size, 2))
+
+    # For the penalty to make sense it should be not too large (in which case all nodes will be visited) nor too small
+    # so we want the objective term to be approximately equal to the length of the tour, which we estimate with half
+    # of the nodes by half of the tour length (which is very rough but similar to op)
+    # This means that the sum of penalties for all nodes will be approximately equal to the tour length (on average)
+    # The expected total (uniform) penalty of half of the nodes (since approx half will be visited by the constraint)
+    # is (n / 2) / 2 = n / 4 so divide by this means multiply by 4 / n,
+    # However instead of 4 we use penalty_factor (3 works well) so we can make them larger or smaller
+    MAX_LENGTHS = {
+        20: 2.,
+        50: 3.,
+        100: 4.
+    }
+    penalty_max = MAX_LENGTHS[pctsp_size] * (penalty_factor) / float(pctsp_size)
+    penalty = np.random.uniform(size=(dataset_size, pctsp_size)) * penalty_max
+
+    # Take uniform prizes
+    # Now expectation is 0.5 so expected total prize is n / 2, we want to force to visit approximately half of the nodes
+    # so the constraint will be that total prize >= (n / 2) / 2 = n / 4
+    # equivalently, we divide all prizes by n / 4 and the total prize should be >= 1
+    deterministic_prize = np.random.uniform(size=(dataset_size, pctsp_size)) * 4 / float(pctsp_size)
+
+    # In the deterministic setting, the stochastic_prize is not used and the deterministic prize is known
+    # In the stochastic setting, the deterministic prize is the expected prize and is known up front but the
+    # stochastic prize is only revealed once the node is visited
+    # Stochastic prize is between (0, 2 * expected_prize) such that E(stochastic prize) = E(deterministic_prize)
+    stochastic_prize = np.random.uniform(size=(dataset_size, pctsp_size)) * deterministic_prize * 2
+
+    return list(zip(
+        depot.tolist(),
+        loc.tolist(),
+        penalty.tolist(),
+        deterministic_prize.tolist(),
+        stochastic_prize.tolist()
+    ))
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--filename", help="Filename of the dataset to create (ignores datadir)")
+    parser.add_argument("--data_dir", default='data', help="Create datasets in data_dir/problem (default 'data')")
+    parser.add_argument("--name", type=str, required=True, help="Name to identify dataset")
+    parser.add_argument("--problem", type=str, default='all',
+                        help="Problem, 'tsp', 'vrp', 'pctsp' or 'op_const', 'op_unif' or 'op_dist'"
+                             " or 'all' to generate all")
+    parser.add_argument('--data_distribution', type=str, default='all',
+                        help="Distributions to generate for problem, default 'all'.")
+
+    parser.add_argument("--dataset_size", type=int, default=10000, help="Size of the dataset")
+    parser.add_argument('--graph_sizes', type=int, nargs='+', default=[10, 20, 50,75, 100],
+                        help="Sizes of problem instances (default 20, 50, 100)")
+    parser.add_argument("-f", action='store_true', help="Set true to overwrite")
+    parser.add_argument('--seed', type=int, default=1234, help="Random seed")
+
+    opts = parser.parse_args()
+
+    assert opts.filename is None or (len(opts.problems) == 1 and len(opts.graph_sizes) == 1), \
+        "Can only specify filename when generating a single dataset"
+
+    distributions_per_problem = {
+        'tsp': [None],
+        'vrp': [None],
+        'pctsp': [None],
+        'op': ['const', 'unif', 'dist']
+    }
+    if opts.problem == 'all':
+        problems = distributions_per_problem
+    else:
+        problems = {
+            opts.problem:
+                distributions_per_problem[opts.problem]
+                if opts.data_distribution == 'all'
+                else [opts.data_distribution]
+        }
+
+    for problem, distributions in problems.items():
+        for distribution in distributions or [None]:
+            for graph_size in opts.graph_sizes:
+
+                datadir = os.path.join(opts.data_dir, problem)
+                os.makedirs(datadir, exist_ok=True)
+
+                if opts.filename is None:
+                    filename = os.path.join(datadir, "{}{}{}_{}_seed{}.pkl".format(
+                        problem,
+                        "_{}".format(distribution) if distribution is not None else "",
+                        graph_size, opts.name, opts.seed))
+                else:
+                    filename = check_extension(opts.filename)
+
+                assert opts.f or not os.path.isfile(check_extension(filename)), \
+                    "File already exists! Try running with -f option to overwrite."
+
+                np.random.seed(opts.seed)
+                if problem == 'tsp':
+                    dataset = generate_tsp_data(opts.dataset_size, graph_size)
+                elif problem == 'vrp':
+                    dataset = generate_vrp_data(
+                        opts.dataset_size, graph_size)
+                elif problem == 'pctsp':
+                    dataset = generate_pctsp_data(opts.dataset_size, graph_size)
+                elif problem == "op":
+                    dataset = generate_op_data(opts.dataset_size, graph_size, prize_type=distribution)
+                else:
+                    assert False, "Unknown problem: {}".format(problem)
+
+                print(dataset[0])
+
+                save_dataset(dataset, filename)

circle_shell_and_generation/submit_dir/results.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=results
+#SBATCH -o log_line/results.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u eval_sirui.py

circle_shell_and_generation/submit_dir/results2.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=results
+#SBATCH -o log_line/results.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u alex_new.py

circle_shell_and_generation/submit_dir/results_0228_exp1.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=results
+#SBATCH -o logs_test/results.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u /home/gridsan/cpark/routing/alex_new_exp1.py

circle_shell_and_generation/submit_dir/vrp20.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20
+#SBATCH -o log_line/vrp20.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validationline4_seed4321.pkl --log_dir log_line_test --run_dir run_line --output_dir outputs_line --num_input_augmentations 0  --num_equivariant_samples 0

circle_shell_and_generation/submit_dir/vrp20_circle.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20
+#SBATCH -o log_circle/vrp20.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validcircle_seed1234.pkl --log_dir log_circle_test --run_dir run_circle --output_dir outputs_circle --num_input_augmentations 0  --num_equivariant_samples 0

circle_shell_and_generation/submit_dir/vrp20eq2.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20eq2
+#SBATCH -o log_line/vrp20eq2.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20eq2' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validationline4_seed4321.pkl --log_dir log_line_test --run_dir run_line --output_dir outputs_line --num_input_augmentations 0  --num_equivariant_samples 2

circle_shell_and_generation/submit_dir/vrp20eq2_circle.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20eq2
+#SBATCH -o log_circle/vrp20eq2.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20eq2' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validcircle_seed1234.pkl --log_dir log_circle_test --run_dir run_circle --output_dir outputs_circle --num_input_augmentations 0  --num_equivariant_samples 2

circle_shell_and_generation/submit_dir/vrp20eq4.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20eq4
+#SBATCH -o log_line/vrp20eq4.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20eq4' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validationline4_seed4321.pkl --log_dir log_line_test --run_dir run_line --output_dir outputs_line --num_input_augmentations 0  --num_equivariant_samples 4

circle_shell_and_generation/submit_dir/vrp20eq4_circle.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20eq4
+#SBATCH -o log_circle/vrp20eq4.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20eq4' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validcircle_seed1234.pkl --log_dir log_circle_test --run_dir run_circle --output_dir outputs_circle --num_input_augmentations 0  --num_equivariant_samples 4

circle_shell_and_generation/submit_dir/vrp20input2.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20inputaug2
+#SBATCH -o log_line/vrp20inputaug2.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20inputaug2' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validationline4_seed4321.pkl --log_dir log_line_test --run_dir run_line --output_dir outputs_line --num_input_augmentations 2  --num_equivariant_samples 0

circle_shell_and_generation/submit_dir/vrp20input2_circle.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20inputaug2
+#SBATCH -o log_circle/vrp20inputaug2.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20inputaug2' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validcircle_seed1234.pkl --log_dir log_circle_test --run_dir run_circle --output_dir outputs_circle --num_input_augmentations 2  --num_equivariant_samples 0

circle_shell_and_generation/submit_dir/vrp20input2eq2.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20input2eq2
+#SBATCH -o log_line/vrp20input2eq2.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20input2eq2' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validationline4_seed4321.pkl --log_dir log_line_test --run_dir run_line --output_dir outputs_line --num_input_augmentations 2  --num_equivariant_samples 2

circle_shell_and_generation/submit_dir/vrp20input2eq2_circle.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20input2eq2
+#SBATCH -o log_circle/vrp20input2eq2.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20input2eq2' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validcircle_seed1234.pkl --log_dir log_circle_test --run_dir run_circle --output_dir outputs_circle --num_input_augmentations 2  --num_equivariant_samples 2

circle_shell_and_generation/submit_dir/vrp20input5.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20inputaug5
+#SBATCH -o log_line/vrp20inputaug5.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20inputaug5' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validationline4_seed4321.pkl --log_dir log_line_test --run_dir run_line --output_dir outputs_line --num_input_augmentations 5  --num_equivariant_samples 0

circle_shell_and_generation/submit_dir/vrp20input5_circle.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+#SBATCH --job-name=vrp20inputaug5
+#SBATCH -o log_circle/vrp20inputaug5.out-%j
+#SBATCH -c 10
+#SBATCH --gres=gpu:volta:1
+#SBATCH --time=200:00:00          # total run time limit (HH:MM:SS)
+
+module load anaconda/2022b
+
+python -u run.py --graph_size 20 --problem cvrp --baseline rollout --run_name 'vrp20inputaug5' --val_dataset /home/gridsan/cpark/routing/data/vrp/vrp20_validcircle_seed1234.pkl --log_dir log_circle_test --run_dir run_circle --output_dir outputs_circle --num_input_augmentations 5  --num_equivariant_samples 0

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-51.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e9822b195bb44e60328515610adfe1b230b84fd9cca5eedd9575fb8a71653bd
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-52.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:168818f9e7e6f897daee06538bb33c22ab336aeee185cd564f9025a5e8f334b1
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-53.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a093455356c201225d046bc46382052e2889c2c832cb6bd020a88935d1dbdec
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-54.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:838e58a1235f2ea6bc44afec13c41bccba444a3e56b6a01701290d94a4df2550
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-55.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53b462a39b606a1154633c96bb17bb27a5916dc76873a034c07bf430b645a240
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-56.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c3a7e3dd2353447a8f0d385286276f0c328021f6e4d68e6f085af4da22fee5a
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-57.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9606b698642d026417f744f1d17518cd723d21a469dfd7e5dfb2b26f18c19f4
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-58.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:103dce6fb9eb38c0b6d0a74982a47ee3d5e42fa9f32f1e62b2ba22894666f504
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-59.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18a5673d1c0388bf70e4eb8f3dda8889d3b9de2f44c6b03a0defe06a56c744b3
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-6.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd6f2ddbfe9021b398dd50eee518fdcf6518f3d54a107ffff270dac3511bf5aa
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-60.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b4fe0f212bc4f0d1a559d1768f0793d09e255439d91fc15fc445594b4625a59
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-61.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbdeae5d4ebf1d7b92a711d0bb3999cdff1f92a12a3c7ab79a7538be5604ee35
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-62.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:569673aef4fe223930d62a3c27e038177153e8e39ef19f245df4b79e2671d0dc
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-63.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d4297c568ef3032b1bf90a5648d5f4de00cc44df6ffa914042c8a1d4fa595b7
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-64.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85134f4753c0dd8fde18dbc363cfbf20ca8ce39763ad23bb6d77ce994735cbbc
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-65.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:047b4aa2b124ea89ece4099dc479d301321a3c9bcc17e9cc1965bad0187b8f5c
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-66.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:897f8bba17b00127a3ece5ca95c961e1305da53bf62f4eff98bfe9eac830216c
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-67.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3945af8a0503002eef8a9042771c510fc161c3dae0bc12f0e01bb08403d9fe6
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-68.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30872e2921e3daaa3932cb912f3c212d1c7239c3cbdf1a3423199a36cfd9afb2
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-69.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18a87207cd70551d83d76cd2214479d8d3f5f5679df8f158ba6c541134d0fdd5
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-7.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d80385ecacca066c3912f35daa387130cbe5696ea48e06a02c2a832130e207c7
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-70.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51824c2019e446eca9056e9f2b41504566c3397f97221de5f38f9f1bfbf51f23
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-71.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:850e7f2d8c1fcfed06638a7601aeb1c135479699e7caf4b02eea2fc9f8ea25b6
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-72.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4930f2903ac53daeaad772519b6ea2eac4f6373993fc7f409b016f1f7006a7e0
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-73.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b5372662deb08c6529ca218a2d4181620aa0905c5b4ff10f1b14bdc3edb53a0
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-74.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86885578848a1a6104dec143186ba8ee723298168480fe3513113e57c4907b26
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-75.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbb4d8b83afe541cde2906358ab8e990ec842ef9fb0e8a4e29c5a2e076eeb965
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-76.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdc422144b7063e72276d4ea50abf01771a9c80e3ab4cc932176564f74bcf933
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-77.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04808002d396771e8ba19b695ce563b2b31c79dfa55bc1b9e0e5080197413df0
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-78.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b412622a790dd1452946bf64716d24ed1ee27b55b56bfa18ce981f906112acf
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-79.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a95d9c533fab3fb692a80a62f299d5131134abbc99fd230edc94a9aa06ec9d8
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-8.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:981087d36e209d28a2850f5625bcb4f41016335113eb20b0601bc64ae53f7733
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-80.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:589e3552ae8da86c3e037cf36c9140fc2b1eedafe238136f72e4eaae1f60484b
+size 21428553

outputs_circle/cvrp_20/org/vrp20input2eq2_20230221T094547/epoch-81.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1c717aea70dfb7bc2e3fb7b573cdcf978c7008abd22f7944f0710ebec368a66
+size 21428553