I tried the following
      model.eval()
      outs = model(images)
      outs2 = model(images)

All parts of outs and outs2 are exactly the same. I can also say that if I run the same training experiment twice, the loss will be nearly the same for the first step or two then slowly diverge.
I’ll post output from run1 and run2. Exact same command. I ran run1 for a few steps, stopped, and then ran run2 for a few steps. I ran this with a batch size of 1, and you can see the outputs slowly diverge if you look closely.
run1
Epoch: [0]  [   0/3684]  eta: 0:17:11  lr: 0.000020  loss: 2.0382 (2.0382)  loss_classifier: 1.3432 (1.3432)  loss_box_reg: 0.0000 (0.0000)  loss_objectness: 0.6915 (0.6915)  loss_rpn_box_reg: 0.0035 (0.0035)  time: 0.2800  data: 0.1153  max mem: 715
Epoch: [0]  [   1/3684]  eta: 0:17:51  lr: 0.000030  loss: 2.0382 (2.0423)  loss_classifier: 1.3432 (1.3477)  loss_box_reg: 0.0000 (0.0000)  loss_objectness: 0.6900 (0.6908)  loss_rpn_box_reg: 0.0035 (0.0038)  time: 0.2911  data: 0.1344  max mem: 1001
Epoch: [0]  [   2/3684]  eta: 0:14:53  lr: 0.000040  loss: 2.0464 (2.0477)  loss_classifier: 1.3432 (1.3440)  loss_box_reg: 0.0000 (0.0095)  loss_objectness: 0.6900 (0.6903)  loss_rpn_box_reg: 0.0040 (0.0039)  time: 0.2426  data: 0.0992  max mem: 1002
Epoch: [0]  [   3/3684]  eta: 0:14:37  lr: 0.000050  loss: 2.0464 (2.0489)  loss_classifier: 1.3369 (1.3422)  loss_box_reg: 0.0000 (0.0093)  loss_objectness: 0.6900 (0.6905)  loss_rpn_box_reg: 0.0040 (0.0069)  time: 0.2384  data: 0.1034  max mem: 1002
Epoch: [0]  [   4/3684]  eta: 0:13:21  lr: 0.000060  loss: 2.0464 (2.0431)  loss_classifier: 1.3369 (1.3391)  loss_box_reg: 0.0000 (0.0075)  loss_objectness: 0.6900 (0.6900)  loss_rpn_box_reg: 0.0041 (0.0065)  time: 0.2179  data: 0.0882  max mem: 1002
Epoch: [0]  [   5/3684]  eta: 0:13:08  lr: 0.000070  loss: 2.0382 (2.0409)  loss_classifier: 1.3365 (1.3372)  loss_box_reg: 0.0000 (0.0062)  loss_objectness: 0.6895 (0.6900)  loss_rpn_box_reg: 0.0041 (0.0076)  time: 0.2144  data: 0.0876  max mem: 1002
Epoch: [0]  [   6/3684]  eta: 0:13:28  lr: 0.000080  loss: 2.0382 (2.0362)  loss_classifier: 1.3365 (1.3325)  loss_box_reg: 0.0000 (0.0053)  loss_objectness: 0.6895 (0.6896)  loss_rpn_box_reg: 0.0052 (0.0087)  time: 0.2197  data: 0.0952  max mem: 1002
Epoch: [0]  [   7/3684]  eta: 0:12:49  lr: 0.000090  loss: 2.0301 (2.0332)  loss_classifier: 1.3276 (1.3301)  loss_box_reg: 0.0000 (0.0047)  loss_objectness: 0.6893 (0.6895)  loss_rpn_box_reg: 0.0052 (0.0089)  time: 0.2092  data: 0.0865  max mem: 1002
Epoch: [0]  [   8/3684]  eta: 0:13:00  lr: 0.000100  loss: 2.0301 (2.0278)  loss_classifier: 1.3276 (1.3247)  loss_box_reg: 0.0000 (0.0053)  loss_objectness: 0.6893 (0.6892)  loss_rpn_box_reg: 0.0061 (0.0086)  time: 0.2124  data: 0.0910  max mem: 1002
Epoch: [0]  [   9/3684]  eta: 0:12:32  lr: 0.000110  loss: 2.0200 (2.0244)  loss_classifier: 1.3265 (1.3203)  loss_box_reg: 0.0000 (0.0067)  loss_objectness: 0.6893 (0.6893)  loss_rpn_box_reg: 0.0052 (0.0081)  time: 0.2047  data: 0.0844  max mem: 1002
Epoch: [0]  [  10/3684]  eta: 0:12:28  lr: 0.000120  loss: 2.0200 (2.0166)  loss_classifier: 1.3265 (1.3136)  loss_box_reg: 0.0000 (0.0061)  loss_objectness: 0.6893 (0.6892)  loss_rpn_box_reg: 0.0052 (0.0078)  time: 0.2038  data: 0.0841  max mem: 1002
Epoch: [0]  [  11/3684]  eta: 0:12:14  lr: 0.000130  loss: 2.0122 (2.0145)  loss_classifier: 1.3136 (1.3043)  loss_box_reg: 0.0000 (0.0056)  loss_objectness: 0.6893 (0.6894)  loss_rpn_box_reg: 0.0052 (0.0153)  time: 0.2000  data: 0.0810  max mem: 1002
Epoch: [0]  [  12/3684]  eta: 0:12:31  lr: 0.000140  loss: 2.0122 (2.0048)  loss_classifier: 1.3136 (1.2952)  loss_box_reg: 0.0000 (0.0051)  loss_objectness: 0.6893 (0.6894)  loss_rpn_box_reg: 0.0061 (0.0151)  time: 0.2046  data: 0.0862  max mem: 1002
Epoch: [0]  [  13/3684]  eta: 0:12:18  lr: 0.000150  loss: 2.0075 (1.9951)  loss_classifier: 1.3043 (1.2863)  loss_box_reg: 0.0000 (0.0048)  loss_objectness: 0.6887 (0.6891)  loss_rpn_box_reg: 0.0061 (0.0149)  time: 0.2011  data: 0.0834  max mem: 1002
Epoch: [0]  [  14/3684]  eta: 0:12:07  lr: 0.000160  loss: 2.0075 (1.9882)  loss_classifier: 1.3043 (1.2740)  loss_box_reg: 0.0000 (0.0074)  loss_objectness: 0.6893 (0.6891)  loss_rpn_box_reg: 0.0099 (0.0176)  time: 0.1983  data: 0.0809  max mem: 1002
Epoch: [0]  [  15/3684]  eta: 0:12:28  lr: 0.000170  loss: 1.9938 (1.9751)  loss_classifier: 1.2814 (1.2614)  loss_box_reg: 0.0000 (0.0081)  loss_objectness: 0.6887 (0.6887)  loss_rpn_box_reg: 0.0066 (0.0169)  time: 0.2041  data: 0.0871  max mem: 1002
Epoch: [0]  [  16/3684]  eta: 0:12:12  lr: 0.000180  loss: 1.9938 (1.9628)  loss_classifier: 1.2814 (1.2481)  loss_box_reg: 0.0000 (0.0102)  loss_objectness: 0.6887 (0.6884)  loss_rpn_box_reg: 0.0066 (0.0162)  time: 0.1996  data: 0.0830  max mem: 1002
Epoch: [0]  [  17/3684]  eta: 0:12:19  lr: 0.000190  loss: 1.9915 (1.9494)  loss_classifier: 1.2813 (1.2354)  loss_box_reg: 0.0000 (0.0098)  loss_objectness: 0.6884 (0.6882)  loss_rpn_box_reg: 0.0066 (0.0160)  time: 0.2018  data: 0.0855  max mem: 1002
Epoch: [0]  [  18/3684]  eta: 0:12:27  lr: 0.000200  loss: 1.9915 (1.9312)  loss_classifier: 1.2813 (1.2185)  loss_box_reg: 0.0000 (0.0092)  loss_objectness: 0.6884 (0.6880)  loss_rpn_box_reg: 0.0066 (0.0154)  time: 0.2040  data: 0.0875  max mem: 1002
Epoch: [0]  [  19/3684]  eta: 0:12:34  lr: 0.000210  loss: 1.9850 (1.9251)  loss_classifier: 1.2456 (1.2027)  loss_box_reg: 0.0000 (0.0101)  loss_objectness: 0.6882 (0.6879)  loss_rpn_box_reg: 0.0066 (0.0244)  time: 0.2060  data: 0.0897  max mem: 1002
Epoch: [0]  [  20/3684]  eta: 0:12:39  lr: 0.000220  loss: 1.9387 (1.9042)  loss_classifier: 1.2020 (1.1826)  loss_box_reg: 0.0000 (0.0104)  loss_objectness: 0.6882 (0.6874)  loss_rpn_box_reg: 0.0099 (0.0237)  time: 0.2038  data: 0.0902  max mem: 1002
Epoch: [0]  [  21/3684]  eta: 0:12:27  lr: 0.000230  loss: 1.8914 (1.8828)  loss_classifier: 1.1865 (1.1625)  loss_box_reg: 0.0000 (0.0100)  loss_objectness: 0.6877 (0.6869)  loss_rpn_box_reg: 0.0105 (0.0234)  time: 0.1955  data: 0.0838  max mem: 1002
Epoch: [0]  [  22/3684]  eta: 0:12:16  lr: 0.000240  loss: 1.8886 (1.8611)  loss_classifier: 1.1704 (1.1413)  loss_box_reg: 0.0000 (0.0108)  loss_objectness: 0.6872 (0.6864)  loss_rpn_box_reg: 0.0105 (0.0226)  time: 0.1949  data: 0.0836  max mem: 1002
Epoch: [0]  [  23/3684]  eta: 0:12:24  lr: 0.000250  loss: 1.8679 (1.8338)  loss_classifier: 1.1021 (1.1156)  loss_box_reg: 0.0000 (0.0105)  loss_objectness: 0.6871 (0.6857)  loss_rpn_box_reg: 0.0099 (0.0220)  time: 0.1965  data: 0.0852  max mem: 1002
Epoch: [0]  [  24/3684]  eta: 0:12:29  lr: 0.000260  loss: 1.8105 (1.8056)  loss_classifier: 1.0725 (1.0888)  loss_box_reg: 0.0000 (0.0101)  loss_objectness: 0.6851 (0.6849)  loss_rpn_box_reg: 0.0105 (0.0218)  time: 0.2014  data: 0.0899  max mem: 1002
Epoch: [0]  [  25/3684]  eta: 0:12:30  lr: 0.000270  loss: 1.7799 (1.7783)  loss_classifier: 1.0348 (1.0624)  loss_box_reg: 0.0026 (0.0099)  loss_objectness: 0.6850 (0.6841)  loss_rpn_box_reg: 0.0105 (0.0219)  time: 0.2022  data: 0.0908  max mem: 1002
Epoch: [0]  [  26/3684]  eta: 0:12:24  lr: 0.000280  loss: 1.7658 (1.7449)  loss_classifier: 1.0194 (1.0310)  loss_box_reg: 0.0026 (0.0095)  loss_objectness: 0.6836 (0.6831)  loss_rpn_box_reg: 0.0100 (0.0214)  time: 0.1978  data: 0.0864  max mem: 1002
Epoch: [0]  [  27/3684]  eta: 0:12:14  lr: 0.000290  loss: 1.7212 (1.7176)  loss_classifier: 0.9156 (1.0056)  loss_box_reg: 0.0026 (0.0092)  loss_objectness: 0.6832 (0.6819)  loss_rpn_box_reg: 0.0100 (0.0209)  time: 0.1974  data: 0.0860  max mem: 1002
Epoch: [0]  [  28/3684]  eta: 0:12:18  lr: 0.000300  loss: 1.6031 (1.6868)  loss_classifier: 0.9014 (0.9773)  loss_box_reg: 0.0000 (0.0089)  loss_objectness: 0.6827 (0.6803)  loss_rpn_box_reg: 0.0100 (0.0203)  time: 0.1973  data: 0.0859  max mem: 1002
Epoch: [0]  [  29/3684]  eta: 0:12:21  lr: 0.000310  loss: 1.4847 (1.6584)  loss_classifier: 0.7819 (0.9510)  loss_box_reg: 0.0000 (0.0092)  loss_objectness: 0.6769 (0.6782)  loss_rpn_box_reg: 0.0105 (0.0200)  time: 0.2018  data: 0.0903  max mem: 1002
Epoch: [0]  [  30/3684]  eta: 0:12:20  lr: 0.000320  loss: 1.4331 (1.6275)  loss_classifier: 0.7388 (0.9236)  loss_box_reg: 0.0002 (0.0089)  loss_objectness: 0.6758 (0.6754)  loss_rpn_box_reg: 0.0105 (0.0196)  time: 0.2020  data: 0.0907  max mem: 1002
Epoch: [0]  [  31/3684]  eta: 0:12:33  lr: 0.000330  loss: 1.3837 (1.6015)  loss_classifier: 0.6750 (0.9002)  loss_box_reg: 0.0012 (0.0086)  loss_objectness: 0.6746 (0.6728)  loss_rpn_box_reg: 0.0105 (0.0198)  time: 0.2099  data: 0.0986  max mem: 1002
Epoch: [0]  [  32/3684]  eta: 0:12:38  lr: 0.000340  loss: 1.2076 (1.5749)  loss_classifier: 0.5261 (0.8773)  loss_box_reg: 0.0012 (0.0084)  loss_objectness: 0.6699 (0.6693)  loss_rpn_box_reg: 0.0105 (0.0198)  time: 0.2099  data: 0.0984  max mem: 1002
Epoch: [0]  [  33/3684]  eta: 0:12:43  lr: 0.000350  loss: 1.1288 (1.5473)  loss_classifier: 0.4452 (0.8535)  loss_box_reg: 0.0026 (0.0083)  loss_objectness: 0.6666 (0.6655)  loss_rpn_box_reg: 0.0105 (0.0199)  time: 0.2149  data: 0.1034  max mem: 1002
Killing subprocess 86494
Main process received SIGINT, exiting

run2
Epoch: [0]  [   0/3684]  eta: 0:18:39  lr: 0.000020  loss: 2.0382 (2.0382)  loss_classifier: 1.3432 (1.3432)  loss_box_reg: 0.0000 (0.0000)  loss_objectness: 0.6915 (0.6915)  loss_rpn_box_reg: 0.0035 (0.0035)  time: 0.3039  data: 0.1116  max mem: 715
Epoch: [0]  [   1/3684]  eta: 0:18:53  lr: 0.000030  loss: 2.0382 (2.0423)  loss_classifier: 1.3432 (1.3477)  loss_box_reg: 0.0000 (0.0000)  loss_objectness: 0.6900 (0.6908)  loss_rpn_box_reg: 0.0035 (0.0038)  time: 0.3078  data: 0.1319  max mem: 1001
Epoch: [0]  [   2/3684]  eta: 0:15:22  lr: 0.000040  loss: 2.0464 (2.0476)  loss_classifier: 1.3432 (1.3439)  loss_box_reg: 0.0000 (0.0095)  loss_objectness: 0.6900 (0.6903)  loss_rpn_box_reg: 0.0040 (0.0039)  time: 0.2506  data: 0.0971  max mem: 1002
Epoch: [0]  [   3/3684]  eta: 0:14:51  lr: 0.000050  loss: 2.0464 (2.0489)  loss_classifier: 1.3370 (1.3422)  loss_box_reg: 0.0000 (0.0093)  loss_objectness: 0.6900 (0.6905)  loss_rpn_box_reg: 0.0040 (0.0069)  time: 0.2422  data: 0.1001  max mem: 1002
Epoch: [0]  [   4/3684]  eta: 0:13:31  lr: 0.000060  loss: 2.0464 (2.0431)  loss_classifier: 1.3370 (1.3390)  loss_box_reg: 0.0000 (0.0075)  loss_objectness: 0.6900 (0.6900)  loss_rpn_box_reg: 0.0041 (0.0065)  time: 0.2204  data: 0.0854  max mem: 1002
Epoch: [0]  [   5/3684]  eta: 0:13:10  lr: 0.000070  loss: 2.0382 (2.0409)  loss_classifier: 1.3363 (1.3371)  loss_box_reg: 0.0000 (0.0062)  loss_objectness: 0.6895 (0.6900)  loss_rpn_box_reg: 0.0041 (0.0076)  time: 0.2150  data: 0.0846  max mem: 1002
Epoch: [0]  [   6/3684]  eta: 0:13:18  lr: 0.000080  loss: 2.0382 (2.0362)  loss_classifier: 1.3363 (1.3325)  loss_box_reg: 0.0000 (0.0053)  loss_objectness: 0.6895 (0.6896)  loss_rpn_box_reg: 0.0052 (0.0087)  time: 0.2171  data: 0.0899  max mem: 1002
Epoch: [0]  [   7/3684]  eta: 0:12:38  lr: 0.000090  loss: 2.0301 (2.0332)  loss_classifier: 1.3276 (1.3301)  loss_box_reg: 0.0000 (0.0047)  loss_objectness: 0.6893 (0.6895)  loss_rpn_box_reg: 0.0052 (0.0089)  time: 0.2063  data: 0.0818  max mem: 1002
Epoch: [0]  [   8/3684]  eta: 0:12:59  lr: 0.000100  loss: 2.0301 (2.0278)  loss_classifier: 1.3276 (1.3247)  loss_box_reg: 0.0000 (0.0053)  loss_objectness: 0.6893 (0.6892)  loss_rpn_box_reg: 0.0061 (0.0086)  time: 0.2119  data: 0.0891  max mem: 1002
Epoch: [0]  [   9/3684]  eta: 0:12:29  lr: 0.000110  loss: 2.0198 (2.0245)  loss_classifier: 1.3263 (1.3204)  loss_box_reg: 0.0000 (0.0067)  loss_objectness: 0.6893 (0.6893)  loss_rpn_box_reg: 0.0052 (0.0081)  time: 0.2041  data: 0.0827  max mem: 1002
Epoch: [0]  [  10/3684]  eta: 0:12:26  lr: 0.000120  loss: 2.0198 (2.0166)  loss_classifier: 1.3263 (1.3136)  loss_box_reg: 0.0000 (0.0061)  loss_objectness: 0.6893 (0.6892)  loss_rpn_box_reg: 0.0052 (0.0078)  time: 0.2032  data: 0.0828  max mem: 1002
Epoch: [0]  [  11/3684]  eta: 0:12:11  lr: 0.000130  loss: 2.0119 (2.0145)  loss_classifier: 1.3133 (1.3042)  loss_box_reg: 0.0000 (0.0056)  loss_objectness: 0.6893 (0.6894)  loss_rpn_box_reg: 0.0052 (0.0153)  time: 0.1993  data: 0.0800  max mem: 1002
Epoch: [0]  [  12/3684]  eta: 0:12:26  lr: 0.000140  loss: 2.0119 (2.0050)  loss_classifier: 1.3133 (1.2954)  loss_box_reg: 0.0000 (0.0051)  loss_objectness: 0.6893 (0.6894)  loss_rpn_box_reg: 0.0061 (0.0151)  time: 0.2033  data: 0.0847  max mem: 1002
Epoch: [0]  [  13/3684]  eta: 0:12:12  lr: 0.000150  loss: 2.0080 (1.9952)  loss_classifier: 1.3048 (1.2864)  loss_box_reg: 0.0000 (0.0048)  loss_objectness: 0.6887 (0.6891)  loss_rpn_box_reg: 0.0061 (0.0149)  time: 0.1996  data: 0.0816  max mem: 1002
Epoch: [0]  [  14/3684]  eta: 0:12:01  lr: 0.000160  loss: 2.0080 (1.9879)  loss_classifier: 1.3048 (1.2737)  loss_box_reg: 0.0000 (0.0074)  loss_objectness: 0.6893 (0.6891)  loss_rpn_box_reg: 0.0099 (0.0176)  time: 0.1967  data: 0.0793  max mem: 1002
Epoch: [0]  [  15/3684]  eta: 0:12:21  lr: 0.000170  loss: 1.9946 (1.9751)  loss_classifier: 1.2820 (1.2614)  loss_box_reg: 0.0000 (0.0081)  loss_objectness: 0.6887 (0.6887)  loss_rpn_box_reg: 0.0066 (0.0169)  time: 0.2021  data: 0.0852  max mem: 1002
Epoch: [0]  [  16/3684]  eta: 0:12:04  lr: 0.000180  loss: 1.9946 (1.9630)  loss_classifier: 1.2820 (1.2483)  loss_box_reg: 0.0000 (0.0102)  loss_objectness: 0.6887 (0.6884)  loss_rpn_box_reg: 0.0066 (0.0162)  time: 0.1976  data: 0.0813  max mem: 1002
Epoch: [0]  [  17/3684]  eta: 0:12:11  lr: 0.000190  loss: 1.9904 (1.9489)  loss_classifier: 1.2814 (1.2349)  loss_box_reg: 0.0000 (0.0098)  loss_objectness: 0.6884 (0.6882)  loss_rpn_box_reg: 0.0066 (0.0160)  time: 0.1995  data: 0.0836  max mem: 1002
Epoch: [0]  [  18/3684]  eta: 0:12:17  lr: 0.000200  loss: 1.9904 (1.9305)  loss_classifier: 1.2814 (1.2178)  loss_box_reg: 0.0000 (0.0092)  loss_objectness: 0.6884 (0.6880)  loss_rpn_box_reg: 0.0066 (0.0154)  time: 0.2012  data: 0.0857  max mem: 1002
Epoch: [0]  [  19/3684]  eta: 0:12:21  lr: 0.000210  loss: 1.9850 (1.9243)  loss_classifier: 1.2452 (1.2018)  loss_box_reg: 0.0000 (0.0101)  loss_objectness: 0.6882 (0.6879)  loss_rpn_box_reg: 0.0066 (0.0244)  time: 0.2023  data: 0.0871  max mem: 1002
Epoch: [0]  [  20/3684]  eta: 0:12:24  lr: 0.000220  loss: 1.9382 (1.9027)  loss_classifier: 1.2009 (1.1810)  loss_box_reg: 0.0000 (0.0107)  loss_objectness: 0.6882 (0.6874)  loss_rpn_box_reg: 0.0099 (0.0237)  time: 0.1983  data: 0.0874  max mem: 1002
Epoch: [0]  [  21/3684]  eta: 0:12:14  lr: 0.000230  loss: 1.8916 (1.8804)  loss_classifier: 1.1895 (1.1598)  loss_box_reg: 0.0000 (0.0102)  loss_objectness: 0.6877 (0.6869)  loss_rpn_box_reg: 0.0105 (0.0234)  time: 0.1897  data: 0.0811  max mem: 1002
Epoch: [0]  [  22/3684]  eta: 0:12:03  lr: 0.000240  loss: 1.8851 (1.8585)  loss_classifier: 1.1701 (1.1385)  loss_box_reg: 0.0000 (0.0111)  loss_objectness: 0.6872 (0.6864)  loss_rpn_box_reg: 0.0105 (0.0226)  time: 0.1895  data: 0.0809  max mem: 1002
Epoch: [0]  [  23/3684]  eta: 0:12:12  lr: 0.000250  loss: 1.8677 (1.8309)  loss_classifier: 1.0958 (1.1125)  loss_box_reg: 0.0000 (0.0107)  loss_objectness: 0.6871 (0.6857)  loss_rpn_box_reg: 0.0099 (0.0220)  time: 0.1917  data: 0.0829  max mem: 1002
Epoch: [0]  [  24/3684]  eta: 0:12:19  lr: 0.000260  loss: 1.8066 (1.8026)  loss_classifier: 1.0762 (1.0856)  loss_box_reg: 0.0000 (0.0103)  loss_objectness: 0.6851 (0.6849)  loss_rpn_box_reg: 0.0105 (0.0218)  time: 0.1976  data: 0.0887  max mem: 1002
Epoch: [0]  [  25/3684]  eta: 0:12:21  lr: 0.000270  loss: 1.7836 (1.7753)  loss_classifier: 1.0390 (1.0593)  loss_box_reg: 0.0026 (0.0101)  loss_objectness: 0.6850 (0.6841)  loss_rpn_box_reg: 0.0105 (0.0219)  time: 0.1989  data: 0.0899  max mem: 1002
Epoch: [0]  [  26/3684]  eta: 0:12:14  lr: 0.000280  loss: 1.7700 (1.7420)  loss_classifier: 1.0066 (1.0278)  loss_box_reg: 0.0026 (0.0097)  loss_objectness: 0.6836 (0.6830)  loss_rpn_box_reg: 0.0100 (0.0214)  time: 0.1951  data: 0.0861  max mem: 1002
Epoch: [0]  [  27/3684]  eta: 0:12:05  lr: 0.000290  loss: 1.7084 (1.7136)  loss_classifier: 0.9115 (1.0015)  loss_box_reg: 0.0026 (0.0094)  loss_objectness: 0.6832 (0.6819)  loss_rpn_box_reg: 0.0100 (0.0209)  time: 0.1951  data: 0.0859  max mem: 1002
Killing subprocess 87072
Main process received SIGINT, exiting