📝 update the result of sycamore-n53 m12, m14, m16, m20

[Yonv1943]

result: 以下的结果都需要+log10(2) ，可以参考以下讨论：
#102 (comment)

sycamore	Result1	Result2	NumSamples	UsedTime
n53 m12	15.478	16.449	185856	56930
n53 m14	16.610	17.748	173568	54152
n53 m16	22.014	32.511	153088	52947
n53 m18
n53 m20	21.782	22.585	148992	58058

sycamore n53 m12

      228       22.789    2.196e+01    TimeUsed     54169
      232       24.986    2.228e+01    TimeUsed     55085
      236       25.889    2.051e+01    TimeUsed     56010
      240       20.804    1.967e+01    TimeUsed     56930
| buffer.save_or_load_history(): Save ./task_TNCO_00/replay_buffer_states.pth    torch.Size([185856, 414])
| buffer.save_or_load_history(): Save ./task_TNCO_00/replay_buffer_scores.pth    torch.Size([185856, 1])

min_score:    15.478
avg_score:    24.392 ±     4.663
max_score:    49.068
best_result:
tensor([235, 371, 215, 137, 246,  62, 320, 178, 147, 325,  31,  17, 274, 333,
        234, 389, 142,  49, 311, 351, 271, 218,  89, 121,  96, 401,  25, 230,
          8, 369, 350, 257, 318, 248, 229, 236,  52,  14, 292, 139, 383, 343,
        207, 195, 209,  47, 394, 355, 329, 149,  53, 130, 372, 398, 273, 339,
        278, 314, 298,  28, 206,  98, 384,  74, 217, 256,  65, 134, 354, 323,
        167, 166, 390, 151, 190, 182, 382, 367, 128,  18,  10, 408, 321, 119,
        344, 100, 199, 120, 181, 405, 179, 288, 411, 140, 330, 305, 264, 336,
        208, 356, 168,  60, 266, 348, 242,  59, 268, 397, 214, 243, 143, 263,
        270,  87, 388, 125,  29, 204,   5,  16, 191, 282, 118, 322,  81, 104,
        211, 228,  34, 296,  76, 152, 114, 392, 406,  24, 171, 244, 116, 306,
        359, 138, 362, 338, 290, 227,  12, 308, 172, 237, 379, 197, 254, 259,
        146, 176, 252, 366, 332,  22,  43, 216,  99,  79, 275, 196,  67, 258,
        342, 294, 373, 198,  56, 283, 108, 346,  64, 175,  88, 102,  27, 135,
        123, 357, 324,  19,   7,  55, 319, 162,   9, 349, 193,  41, 192, 155,
        412, 352,  72, 186,  69, 160, 386, 267, 150, 312, 205,  20, 309, 364,
        272, 164,  82,  23,  33, 358,  68, 107, 345, 285, 226,  95,  85, 145,
        284,  94,  38, 233, 180, 378,   2,  42, 303, 300, 387, 360, 327,  91,
         32, 109, 240, 260, 287, 115, 184,  86, 249,  21, 203,  75,  78, 341,
        317, 286,   1, 276, 253, 131, 251, 241, 328,  36, 315, 310, 110,  11,
        245,  37, 377, 381,  40, 307, 297,   4, 158, 289,  83, 188, 111, 293,
        337, 396, 361, 280,  50, 380, 368,  84,  51,  54, 340, 212, 370, 169,
        154, 326, 385, 255,  44, 201, 232, 103, 353, 409, 262, 156, 291, 101,
        250, 200, 247,  80, 105, 194, 113, 157, 402, 265, 159, 174,  57, 133,
        141, 185,  58, 238, 106, 334, 129, 136, 313, 127,   3, 365,  61, 277,
         73,  92, 391,  46,  71, 213, 231,  26, 399, 144, 210, 304, 375, 374,
        148, 269, 331,  30,  13, 410, 363, 165, 400, 316, 124, 222,  93, 153,
        117,  39,  70, 170,   6, 132,  77, 224,  66,  63,  48, 239, 413, 302,
        376, 219,  45, 126, 173, 221, 223, 183, 404, 177,  97, 279, 187, 407,
        189,  15, 281, 395, 393, 403, 301, 112,  35,  90, 295, 225, 299,   0,
        163, 261, 220, 122, 202, 161, 335, 347], device='cuda:0')

---

      180       18.700    1.616e+01    TimeUsed     48409
      184       19.871    1.838e+01    TimeUsed     49428
      188       21.397    1.973e+01    TimeUsed     50447
      192       24.096    1.993e+01    TimeUsed     51460
| buffer.save_or_load_history(): Save ./task_TNCO_04/replay_buffer_states.pth    torch.Size([165376, 414])
| buffer.save_or_load_history(): Save ./task_TNCO_04/replay_buffer_scores.pth    torch.Size([165376, 1])

min_score:    16.449
avg_score:    25.135 ±     5.301
max_score:    49.670
best_result:
tensor([396,  88, 166, 366, 408,  81, 167,  51, 243, 238, 148,  90,   5, 222,
        159, 305, 361, 198,  22, 295, 321, 128, 339, 310, 169, 219, 375, 224,
        409, 372,  38, 241, 247, 146, 338, 200,  36,  52,  54, 178, 226, 234,
        173, 192, 117, 260, 108, 278, 387, 147, 245, 399, 227, 275,   1, 329,
        411, 140, 341, 152,  55, 132,  17, 312, 168, 297,  92, 385, 345, 237,
        119, 120, 102, 101,  44,  75,  94,  89, 332, 307,  74,  85, 212, 181,
        118, 348,  23, 412, 413,  69, 196, 386, 235,  43, 383,  45, 210, 172,
        286, 223, 256, 144, 183, 322, 253,  80, 261, 407, 291, 113, 301, 343,
        353, 216, 115, 378, 134, 158,  86,  73, 404,  35,  66, 106, 251, 136,
        161, 137, 274, 246,   8, 162,  97,  32, 157,  18,  91, 303, 410, 349,
        290, 177,  53, 397, 111, 373, 127, 105,  28, 201,  84, 104, 125, 346,
        323,  49, 347, 271, 304, 355, 208, 309, 124,  37, 344, 306, 360, 389,
         31, 377, 392,  30,  39, 284, 163, 351,  10, 255, 395, 186, 382, 184,
         82, 126, 130, 330, 142, 264, 342, 296, 123, 250,  20, 257, 313,  46,
        268,  34, 289, 170, 308, 380, 150, 265, 371, 213,  93, 154, 333, 262,
         61, 151, 232,  87,  56, 285, 206, 267, 263, 340, 217, 114, 317, 107,
         63, 390, 121, 139,   6, 194, 225, 336, 242, 112, 320, 356, 248, 391,
        283, 379,  29,  83,  64, 281, 292, 135,  42, 276, 324,  33, 402, 103,
        204, 314, 156, 193, 364,  68, 244, 352, 110, 369, 187, 272, 214, 365,
        252, 393, 359, 211, 164, 368, 400, 195,  40, 116, 279, 205, 259, 337,
        319, 199,   7, 240,  77,  72, 370, 209, 145, 122, 207,  60, 405, 327,
        160,  21, 273,  62, 334, 406, 100,  14, 197,  26, 311, 403,  16, 354,
        129, 269,  71, 109, 315, 374, 203, 266, 220, 335, 175, 230, 302, 202,
         19, 376, 153, 174, 328, 388, 188,  96, 138,  98, 287,  25, 326, 190,
        191, 239, 288,  76,  50, 179, 299,  48,   3,  78,  11, 228, 280,  57,
        215, 282,   2, 398, 149,  15,  47, 182, 300,  79, 236,  12, 249, 233,
        131, 218, 362, 363,  58,  67, 357, 155,   0,  41,  24, 270, 293, 325,
        229, 133,   9,  13, 277,   4, 298, 254,  65, 171, 358, 350, 180, 185,
        316, 367, 221, 331, 143,  59, 258, 394, 165, 176, 401, 318, 189,  70,
         27, 381, 231, 294, 141, 384,  95,  99], device='cuda:4')

[Yonv1943]

sycamore n53 m14

      180       31.057    3.008e+01    TimeUsed     50815
      184       38.548    3.388e+01    TimeUsed     51936
      188       38.586    3.213e+01    TimeUsed     53049
      192       40.670    3.496e+01    TimeUsed     54152
| buffer.save_or_load_history(): Save ./task_TNCO_05/replay_buffer_states.pth    torch.Size([165376, 484])
| buffer.save_or_load_history(): Save ./task_TNCO_05/replay_buffer_scores.pth    torch.Size([165376, 1])
num_train: 165376
min_score:    16.610
avg_score:    31.641 ±     8.670
max_score:    55.691
best_result:
tensor([472,  25, 247,  61, 397, 262, 415, 217,  83, 444,  44, 439,  65, 325,
        169, 277, 436, 178, 113, 337, 421,  90,  74, 120, 463, 107,  54,  85,
        242, 140, 284,  50, 137, 268, 333, 331,  29,  57, 372, 168, 426, 468,
        354,  19,  95, 462, 478, 228, 132,  37, 166, 417, 483,  28, 265,  78,
        190,  11, 413,  56, 449, 139, 420, 310, 469, 423,  46, 311, 473, 435,
        105, 264,  13,  10, 273, 252, 257, 390,  24,  23, 315, 279, 432, 470,
        309,  70, 398, 158, 330, 117,  49, 127, 396, 111, 306, 165, 115, 451,
        313, 477, 154,   5, 351, 112,   4,  18,  64, 334, 394, 293, 271, 185,
        291, 123, 267, 285, 431, 230, 256,  94, 141,  76, 312, 314, 210, 101,
        152, 191, 237, 365, 136, 440, 479,  12, 183, 251, 186, 419, 222,  48,
        459, 130, 452, 355,  16, 453,  20, 188, 290, 209, 263,  92, 294, 434,
        300, 344, 427, 322, 248,  89, 457,  77, 204, 181, 393, 177, 100, 464,
         88, 246, 148,  27, 445, 225, 410, 134, 121, 475, 481, 382, 412, 348,
        138, 170, 253, 245, 388, 467, 401, 131,  91,  80, 332, 395, 409, 180,
        326,  53, 305, 455, 448, 298, 224,   1,  38, 159, 411, 189, 450,  36,
        424, 200, 389, 167, 163, 150,  21,  93, 261, 270, 145, 308, 207, 366,
         55, 383, 236, 255,  59, 233, 194, 377, 274, 405, 404, 289,  72, 342,
        162, 384, 227, 428,  60, 283,  35, 122, 403, 379, 304,  22, 124,  97,
        301,  26, 244, 349,  81, 429, 174, 171,  52, 418, 195, 460,  69, 218,
        303, 387, 338, 425, 266, 297, 316, 125, 281, 128, 340, 280, 299, 149,
        238, 184, 269, 205,  82, 482, 231, 116,  32, 386, 216, 360, 438,  58,
        392, 110, 471, 282, 375, 229, 160, 381, 461,  43, 430, 443, 321, 402,
        358, 276, 215, 118, 135, 370,  67, 129, 109, 433, 323, 339, 235, 208,
         75,  42,  73, 239, 318, 320,   0,  41, 223, 153, 466,  68, 416, 206,
        272, 442, 400, 378, 254,  84,  86, 437, 292, 221, 376, 199, 441, 341,
        454, 119,  66, 104, 249,  34, 407, 259, 346,   9, 356, 307,  71,  17,
        380, 335, 203, 374, 156, 361, 260, 147,   3, 106, 278, 202, 182, 258,
        319, 143,  45, 363, 447, 275, 456, 324, 406,  47, 196,   7, 114, 474,
        151, 179, 220,  31, 155, 133,  15, 175, 295, 329, 327, 362, 243, 192,
        172, 476, 368, 328, 480, 144, 317, 353, 234, 161, 345, 213, 391, 212,
        288, 232, 369, 164, 226,  87, 198, 446, 197,  63, 103,   6,  62, 187,
        408,  33,   2, 352, 211, 108, 364,  51, 286, 142, 176, 465,   8, 350,
        336, 458, 157, 214, 371, 399, 241, 193, 422, 302, 201, 414, 385, 357,
         98,  96,  39,  79, 146, 126, 347, 102, 367, 250, 373, 343, 240,  99,
        219,  40, 296, 173,  30, 287, 359,  14], device='cuda:5')

---

| buffer.save_or_load_history(): Save ./task_TNCO_01/replay_buffer_states.pth    torch.Size([173568, 484])
| buffer.save_or_load_history(): Save ./task_TNCO_01/replay_buffer_scores.pth    torch.Size([173568, 1])
num_train: 173568
min_score:    17.748
avg_score:    33.511 ±     7.540
max_score:    55.088
best_result:
tensor([ 62, 192, 176, 225, 412, 167,  55, 358,  44, 413, 223, 440, 387, 468,
        315,  25, 275, 349, 309, 253,  75, 483, 273, 403, 443, 109, 448, 170,
        416, 180, 245,  82, 110, 409,  76, 236,  59, 249, 480, 436, 124, 438,
        472, 205, 133, 336, 479, 467, 404, 129,  41, 353, 343, 284, 475, 392,
        421,  15, 281, 474,  73, 324, 127, 450, 267, 272, 179, 201, 365, 210,
        202, 292, 466, 132, 368,  17, 263, 265, 199, 103, 391, 369, 381,  28,
        137, 140,  89, 321, 340, 471, 323, 242,  34, 386, 300, 372, 370, 366,
        117, 454, 226, 318, 338,  52, 191, 195,  98, 458, 168, 341, 294, 106,
        235, 143,  86, 112, 282, 390, 243, 447, 411, 260, 111, 469, 394, 203,
         35,  99, 431, 423,   0, 339, 432, 385,  94, 446,  74, 174, 382, 427,
        335, 400, 279, 172, 121, 476, 445, 231, 128, 415, 308, 439,   2, 175,
        345, 456, 342, 303, 364, 384, 306, 460, 452, 459, 157, 395, 389, 177,
         61, 414,  22, 270, 244, 376, 104, 259, 173, 434, 429, 264, 331, 208,
        189,  65, 453, 330, 407, 379, 332, 280, 250, 347, 317, 251, 402, 118,
        478, 302, 257,   1, 266, 285, 136, 399,  38, 252,  45, 151, 451, 417,
        360, 313, 293, 425, 482, 120,  49,  31, 477, 305,  54,  81, 367, 307,
         47, 219, 152, 229, 420, 119, 378, 276, 182, 254, 256, 138, 422, 406,
        261, 371, 319, 433,  57,  78, 134, 209, 334, 388, 304, 144, 437, 145,
        283, 163, 135, 227, 424,  96, 455, 333,   9,  13,  48, 396, 158,  50,
        204, 419,  87,  83, 314,  80, 147, 430, 237, 207, 269, 258, 310, 102,
        380, 217, 435, 373, 463, 461, 286, 350,  14, 232, 326, 255, 290, 222,
        383,  71, 320, 470,  46,  51, 405, 291, 344, 186, 105, 113, 361, 374,
        214, 296,  18, 287, 441, 166, 114, 262,  21,  67, 398,  20, 162, 221,
        442,  33, 329, 215,  77,  29, 278, 125, 246, 107, 218,   3,   7, 122,
        240, 101, 481, 239,  53, 188, 426, 131, 464, 220, 297, 473, 213, 149,
        377,  90, 130, 316, 354, 211, 288, 116, 159, 212, 449, 187,  91,  16,
         56, 348, 274, 190, 100,  84,  36, 228,  24, 301,  37, 295,   6, 351,
         79, 139,  63, 156, 462,  40, 418, 271,  97,  32,  43, 312, 363, 465,
        178, 181, 154, 241, 153,  23,  19, 224,  12,  64, 298, 197,  95,   8,
         26, 277, 357, 108, 184,  68, 428, 311, 327, 142, 233,  72, 123,   4,
        410, 289, 238, 248, 299, 408,  58, 196, 148,   5, 194,  66, 401, 141,
         60, 397, 444, 457, 216, 234,  10, 362, 356,  27, 126, 164, 328, 115,
        322,  30, 169, 183, 171, 268, 337,  42,  92, 247, 185,  93, 206, 165,
        161,  85, 355, 160, 346, 359, 325, 150,  88, 200,  69, 155, 146,  11,
        393,  70, 352, 230,  39, 375, 193, 198], device='cuda:1')

[Yonv1943]

sycamore n53 m16

      164       27.696    2.399e+01    TimeUsed     49556
      168       27.998    2.742e+01    TimeUsed     50687
      172       28.348    2.523e+01    TimeUsed     51817
      176       28.033    2.729e+01    TimeUsed     52947
| buffer.save_or_load_history(): Save ./task_TNCO_06/replay_buffer_states.pth    torch.Size([153088, 585])
| buffer.save_or_load_history(): Save ./task_TNCO_06/replay_buffer_scores.pth    torch.Size([153088, 1])
num_train: 153088
min_score:    22.014
avg_score:    32.901 ±     8.477
max_score:    66.528
best_result:
tensor([ 34, 111, 259, 102,   5, 546, 226, 129, 485, 194, 347, 115, 434, 480,
         89,   8, 432, 100, 136, 288, 575,  24,   9,  84, 353, 117, 556, 348,
         13, 240,  50, 142,  94, 415, 214, 383, 163, 337, 501, 137, 171, 544,
        559, 525,  87,  73, 298, 384,  83, 296,  25,  35, 155, 520,  79,  93,
         77, 449, 286, 334,   7, 220, 254, 518, 173,  37, 175, 253, 157, 248,
        321,  38, 529, 169,  81, 300, 149,  72, 369, 176, 358,  68, 503,  16,
        301, 304, 440,  45, 161, 164,  12, 103,  63, 506, 416, 104,  76, 108,
         10,  66,  19, 165,  32, 486,  49, 195, 392, 121, 533, 473,  40,  48,
        436, 507, 577, 126, 295, 492, 355, 297, 252,  18,  42, 477,  86, 562,
        505,  15, 310,  56, 570, 275, 460,  78, 174, 314,  82, 185,  59, 251,
         33,  67, 459, 409, 499, 130, 580, 187, 183, 114, 131, 203, 213, 210,
         55, 456, 557, 410, 509,   6, 154,  44, 209, 170,  91,  29, 268, 179,
         30,  62, 190,  22, 168, 258, 274,  85, 330, 151, 308, 116, 225, 217,
         39, 106, 345,  46, 469, 140, 202, 234, 419,  36, 521, 579, 201,  20,
        435, 290, 223,  92, 272, 364,  58,  23, 303, 294, 189, 124, 576, 244,
        282, 316, 429, 583, 237, 166, 371, 255, 153, 186, 156, 243, 522, 306,
         27, 167, 508, 158, 177,   1, 249, 452, 277, 534, 178, 470, 401, 229,
         95, 379, 426,   3, 211, 540, 262, 327, 250, 447, 284, 430,  74, 199,
        263, 230, 221,  90,  53, 198, 487, 389, 457, 519, 132,  57,  61, 107,
        476, 417,  88, 438, 498, 312, 224, 340,  28, 196, 118, 554, 569, 390,
        241, 152, 465, 188, 502,  11, 242, 537, 299, 451, 260,  97, 289, 500,
        105, 135, 515, 208,  41, 311, 245, 582,  69, 479, 464, 424,  99, 150,
        109, 514,  52, 404, 346, 560, 418, 336, 101, 302, 467,   4, 542, 328,
        391,  26, 207,  96, 402, 191, 405,  51, 394, 581, 439, 536, 511, 494,
        535, 568, 239,  17, 322, 551,  31,  80, 138, 122, 552, 112, 555, 162,
        276, 145, 228, 359,   2, 280, 414, 285, 516, 442, 566, 139, 474, 119,
        482, 382, 386, 238, 206,  54, 512, 431, 212, 216, 375, 335, 446,  70,
        397, 193, 549, 293,  60, 541, 292, 219, 481, 584, 472, 147,  43, 325,
        388, 413, 172, 133, 381, 463, 543, 146, 396, 160, 200, 437, 399, 338,
        271, 278, 222, 315, 313, 144, 455, 215, 326, 571, 125, 123, 287, 517,
        497,  71, 184, 548, 233, 256, 247, 339, 393, 530, 197, 235, 361, 291,
        269, 550, 344, 567, 134, 370, 513, 532, 496, 351, 283, 281, 428, 333,
        433, 407, 564, 331, 458, 504, 180, 342, 143, 400, 218, 323, 547, 526,
        350, 265, 110, 488,  64, 478, 398, 454, 420, 489, 231, 246, 354, 362,
        329, 450, 368, 468, 376, 538, 483, 493,  21, 412, 373, 528, 318, 510,
        423, 471, 356, 453, 377, 181, 319, 352, 523, 411, 267, 374, 578, 563,
        425, 558, 363, 367, 406, 490, 484, 141, 422, 279, 320, 257, 357, 462,
        531, 527,   0, 204, 273, 475, 261, 408, 192, 495, 305,  47, 574, 443,
        113, 444, 309, 236, 378, 466, 448, 205, 128, 232, 573, 545, 227, 264,
         14, 445,  98, 365, 343, 270, 403, 349, 395, 159, 341, 266, 317, 385,
        553, 324, 539, 387, 332, 427, 441, 380, 561, 461, 127, 366, 524, 491,
        182, 360, 148, 307,  65, 565, 372, 120,  75, 572, 421],
       device='cuda:6')

---

      148       41.338    4.493e+01    TimeUsed     51655
      152       41.338    4.496e+01    TimeUsed     52946
      156       41.338    4.490e+01    TimeUsed     54235
      160       41.338    4.495e+01    TimeUsed     55519
| buffer.save_or_load_history(): Save ./task_TNCO_02/replay_buffer_states.pth    torch.Size([124416, 585])
| buffer.save_or_load_history(): Save ./task_TNCO_02/replay_buffer_scores.pth    torch.Size([124416, 1])
num_train: 124416
min_score:    32.511
avg_score:    45.043 ±     3.887
max_score:    63.216
best_result:
tensor([272, 432, 175, 301,  92,  35, 338, 430, 482, 223,  57, 298, 544, 524,
         89, 277, 147,  63,  96, 526,  53, 459, 166, 484,  16,  78, 105, 391,
        258,  59, 214, 344, 374, 260, 576, 573, 230, 163, 393, 394, 247, 503,
         61, 186, 559, 468,  84, 375, 512,  43, 499, 100, 434, 396, 362, 115,
        322, 328, 521, 197,  90,  69, 557, 456,  30, 469, 245, 324, 577, 201,
        404, 407, 358, 178, 356, 240,  10, 498, 192, 364, 545, 487,  87, 465,
        141, 269, 540, 529,  98, 299, 122, 562,  11, 226, 509, 537,  56, 547,
        159, 120, 363, 383,  44, 158, 399, 496,  17, 392, 238, 118,  21, 458,
        135, 477, 292, 339, 382, 486, 131, 489, 209, 551,   6, 132,  74, 443,
        148, 203,  29, 333, 531, 107, 142, 143, 232, 287, 329, 108, 334, 471,
        130, 532, 208, 241, 450, 513, 207, 307, 311, 104, 371, 257, 161,  67,
        229, 470,   7, 481, 190, 234, 410, 134, 253,  12, 502,  51, 368, 366,
        151, 273, 316, 560, 571, 376, 504, 478, 289, 427, 262,  31, 568, 294,
        473,  81, 506,  97, 536,  45,  83, 348, 167, 525, 215, 409, 405,  13,
        523, 553, 138, 291, 565, 424, 109, 541, 255,  28, 555, 187, 491, 429,
        189, 220,  94, 288,  24, 516, 554, 490, 530, 421, 466, 351,  99, 580,
         58, 435, 442, 461, 200, 389, 310, 155, 497, 480, 317,  42,  26,  55,
        542,  25,  37, 390,  39,  65, 515, 173, 110, 402, 128, 121, 267, 236,
        448, 176, 422, 567, 341, 403, 462, 250,   5, 268, 218, 517,  14, 263,
        412, 373, 231, 282, 385,  41, 204, 248, 500, 146, 103, 418, 538, 210,
        271, 274, 377, 290,  79, 438, 347, 534, 549, 352, 244,   9,  22, 264,
         93, 284,  34, 372, 441,  32, 357, 225, 350, 233, 460,  68, 297, 179,
        395, 314, 444, 171,   2, 194, 119, 400, 401, 417,  36, 451, 343, 242,
        464, 453, 527, 423, 124, 283, 408, 219, 494,  19, 227, 514, 202, 275,
        381, 455, 505, 420,  20, 413,  75, 380, 137, 397, 359, 126, 495, 205,
        349, 123, 337, 312, 106, 566, 419, 340, 361, 533, 369,  50, 387, 452,
         70, 346, 406, 145, 164, 222, 501, 326, 156, 384,  86, 518, 116, 180,
        508, 546,  72, 153, 212, 243, 426, 335, 184, 216, 575, 556, 353, 446,
        327, 181,  54, 305,  80, 398,  71, 574, 144, 416, 439, 188, 437,  48,
        150, 296, 309,  52,  60, 237, 325, 206, 162, 252, 433, 251,  49, 196,
        428, 195, 476, 217, 111,  18, 112, 261, 169, 415, 133, 519, 259, 522,
        127, 152, 386,  76, 475, 510,  62, 457, 102, 535, 454,   3, 300, 431,
          4, 185, 388, 479, 315, 246, 125,  15, 285, 488, 293, 308, 213, 539,
        507, 286, 276, 511, 280,  91, 129,  85, 191, 140, 414,  88,  73, 569,
        550, 154, 306, 198, 483, 168, 447, 436, 279, 548, 320, 331, 228, 174,
        170, 463, 221, 360, 183,   0, 467,  40,  66,  27, 165, 224, 266, 342,
         95, 543, 440, 304, 583, 572, 321,  64, 303,   1, 570, 492, 579, 235,
        149, 367, 330, 113,  77,  47, 578, 254, 313, 193, 411, 449, 365, 160,
        552, 355,  82, 564, 199,  33, 256, 319, 425, 114, 332,  23, 139, 117,
        295, 354, 270, 472,  46, 528, 265, 101, 379, 558, 182, 157, 323, 581,
        249, 177,   8, 561, 211, 584, 378, 336, 318, 563, 370,  38, 445, 278,
        239, 172, 520, 474, 302, 281, 345, 493, 582, 136, 485],
       device='cuda:2')

[Yonv1943]

sycamore n53 m20

      132       51.615    5.084e+01    TimeUsed     45091
      136       60.517    5.007e+01    TimeUsed     46474
      140       55.095    5.104e+01    TimeUsed     47911
      144       49.479    4.995e+01    TimeUsed     49360
| buffer.save_or_load_history(): Save ./task_TNCO_07/replay_buffer_states.pth    torch.Size([128512, 754])
| buffer.save_or_load_history(): Save ./task_TNCO_07/replay_buffer_scores.pth    torch.Size([128512, 1])
num_train: 128512
min_score:    21.782
avg_score:    42.245 ±    14.739
max_score:    81.880
best_result:
tensor([  7, 472, 540, 176, 184, 170,  16, 649, 433, 294,  20, 536, 159, 732,
        239, 233, 513, 616, 655, 665, 696, 116,  70,  30, 382,  52, 362, 293,
        272, 497,  99, 288,  36, 134, 600, 548, 594,  21, 157, 331, 624, 520,
        558,  85,  81,  35, 752, 123, 286, 658, 417,  40, 353, 583, 264, 675,
        436, 736,  61, 753, 494, 202, 747, 140,  22, 461, 717, 330, 617, 237,
        670,   8, 644, 674, 599, 221,  78, 462, 457, 621, 348,  87, 240, 299,
         88, 152, 114, 195,  13, 634, 618, 700, 210, 663,  47, 751, 241, 652,
        408, 137, 103, 302, 329, 542,  62,  95, 724,  55, 470, 175, 439, 585,
        366,  53,  54, 297, 500, 280, 373, 476, 650, 706, 393,  58,  39, 105,
        147, 591,   6, 703, 282, 409, 667, 686, 489,  29, 250, 110, 466, 231,
        209, 654, 259,  11,  93, 361, 121, 146, 746, 407,  63, 501, 639, 350,
        458, 718, 452, 672, 314,  72, 482,  42, 571,  17,  19, 699, 128, 248,
        316, 298, 283, 573, 588, 177, 648, 593, 543, 132, 739, 122, 442, 130,
        199, 702, 212,  92, 357, 628, 263, 343,  50, 113, 290, 664, 691,  69,
        136, 406, 380, 309,  43, 631, 481, 115, 638,  51, 189, 414, 666, 144,
        281, 312, 656, 450, 173, 518, 449, 623, 172, 255, 245, 491, 635, 161,
        325, 226,  10, 561, 557, 590, 659,  56,  71, 563,  97, 580, 677, 689,
         26, 605, 229, 200,  64, 394, 308, 211, 311, 473, 160,  76, 695, 426,
        187, 106, 196, 586,  80, 225, 632, 749, 443, 253,  48,   5,  24, 460,
        155, 535, 640,  14, 169,  28, 574, 611,  90, 307, 102, 614, 636, 224,
         98, 399, 714, 630, 722, 685, 688, 733, 744, 531, 582, 234, 377, 295,
        701, 397, 587, 419, 738, 488, 727, 748,  83, 218, 653, 487, 745, 499,
        673, 669, 301, 525, 519, 220, 391, 188, 705, 533, 579, 287, 423, 205,
        277, 117, 538, 602, 597,   0, 246,  60, 306,  32, 179, 186, 104, 336,
        742, 164, 564, 151, 740, 680, 284, 615, 413, 107, 126, 465, 296,  45,
        704, 683, 731, 338,  34, 396, 206, 710, 687, 507, 534, 201,   1, 578,
        529,  73, 238, 646,  84, 344, 185,   3, 569, 455, 651, 257, 235, 537,
        467, 360, 438, 204, 149, 244, 562, 613, 125, 468, 448, 459, 182, 135,
         89, 498, 174, 347, 165, 641,  12, 425, 349, 625, 265, 642, 303, 693,
        715, 216, 322, 608, 729, 269, 698, 719, 351, 671, 647, 446, 523, 428,
        345, 508, 629, 566, 403, 496, 289, 405, 668, 150, 440, 124, 643, 555,
        575,  31, 112, 620, 274, 682, 552, 390, 215, 511, 681, 305, 469, 383,
        598, 463, 708,  94, 207, 256, 424,  15, 577, 725, 378, 434, 193, 387,
        291, 120, 219, 502, 214, 372, 324, 544, 432,  57, 661, 119, 127, 431,
        493,   9, 633, 713, 388, 168, 365,  75, 512, 415, 367,  46, 730, 480,
        252, 363, 332, 514, 368, 505, 441, 258, 131, 679,  96, 567, 154,  59,
        516, 249, 340, 697, 213, 352, 418, 273, 356, 384, 435, 261,  33, 260,
        741, 223, 622,  66, 515, 167,  38, 129, 547, 158, 524, 743,  18, 232,
        707,  82, 320, 278, 141, 262, 416, 607, 191, 503, 203, 589, 437, 581,
        190, 554, 549, 402, 358, 317, 242, 208, 180, 601, 333, 726, 381, 148,
        197, 592, 471, 156, 556, 392, 326, 153, 522, 268, 572, 657, 477, 716,
        545, 398, 750, 389,  77, 371, 300,  27, 596, 101, 610, 532, 485, 712,
        690, 143, 342, 411, 270, 464, 341, 728, 490,  44, 109, 227, 404, 711,
        456, 474, 737, 709, 254, 236, 721, 521, 546, 527, 395, 385, 276, 285,
         65, 484, 412, 346, 163, 570, 660, 319, 162, 483, 327, 504, 138, 429,
         67, 445, 645, 420, 506, 479,  68, 478, 375, 410, 145, 108,  49, 228,
        453, 335, 530, 517, 553, 626, 133, 510, 142, 568,  74, 694, 528,  91,
        279, 619, 684, 334, 217, 495, 576, 386, 181, 376, 271,  23, 627,  41,
        541, 194, 267, 318, 447, 444, 734, 509, 637, 337, 310, 339, 379, 171,
        251, 292, 198, 400, 321, 735, 328, 354, 374, 662, 118, 430, 475, 192,
        539, 178, 247, 427, 166, 139, 565, 364, 492, 584,  25, 526, 692, 720,
        401, 486, 230,   2,   4, 606, 595, 275, 678,  37, 100, 676, 266, 723,
        304, 604, 422, 355, 451, 551, 359, 559, 609,  79, 369, 612, 183, 222,
        550, 323, 370, 560, 603,  86, 315, 111, 313, 421, 454, 243],
       device='cuda:7')

---

      180       24.698    2.255e+01    TimeUsed     54635
      184       23.457    2.302e+01    TimeUsed     55779
      188       23.251    2.314e+01    TimeUsed     56921
      192       23.210    2.244e+01    TimeUsed     58058
| buffer.save_or_load_history(): Save ./task_TNCO_03/replay_buffer_states.pth    torch.Size([148992, 754])
| buffer.save_or_load_history(): Save ./task_TNCO_03/replay_buffer_scores.pth    torch.Size([148992, 1])
num_train: 148992
min_score:    22.585
avg_score:    29.913 ±     6.161
max_score:    74.354
best_result:
tensor([174, 109, 696, 219, 728, 499, 271,  25, 198, 661, 273, 371, 639, 709,
        587, 704,  63, 386,  65, 529, 721, 606, 677, 274, 657, 693, 135, 479,
        619, 257, 141,  36, 665, 221, 613, 368, 189, 396, 656, 534, 706, 726,
        622, 452, 735, 710, 659, 634, 336, 694, 275, 747,  76, 592, 100, 545,
        685, 687, 537, 580, 616,   6,  31, 701, 247, 217, 101, 690,  82,  89,
        635, 543, 435, 598, 720, 733,  47, 289, 484, 723, 129, 199, 708, 680,
        234, 267, 551, 427, 583, 751, 476, 638, 251, 448, 290, 642, 472, 169,
        461, 303, 363, 610, 575,  34, 670,  17, 550, 489, 729, 238, 655, 526,
        308, 212, 516, 381, 513, 459,  48, 117, 699, 487, 581,  15, 650, 707,
        446, 549, 584, 514, 542, 132, 666, 664, 679, 481, 152,  12, 668, 722,
        528, 507, 160, 540, 127, 566, 719, 328, 498, 495,  58, 623, 387, 122,
        500, 740, 466, 496, 743, 682, 501, 102, 269, 434, 567, 350, 225, 739,
        457, 648, 126, 594, 378, 333,  20, 654,  55, 480, 404,  27, 462,  59,
        643, 177, 520, 698, 423, 230, 231, 653, 471, 574, 713, 260, 585, 107,
        737, 261, 125, 742, 475, 552, 155, 366, 605, 437,  18, 397, 439, 689,
        440, 676, 445, 450, 558, 614, 620, 324, 724, 546, 154, 424, 458, 315,
        521, 658, 678,   2, 660, 384, 342, 425, 186,  74, 474, 104, 531, 732,
        241, 403, 727, 544, 478, 151, 712, 253, 607, 673, 460, 688, 150, 506,
        612,  71, 357, 414, 595, 103, 662,  56, 184, 441, 220, 512, 647, 505,
        391, 530, 252, 358, 222, 700, 465, 429, 292, 173, 139, 149, 752, 625,
        319, 519, 536, 442, 485, 493, 675, 268, 603, 123, 411, 301, 143, 556,
        398, 633,  79, 374,  23, 624, 503, 266, 525, 232, 277, 158, 118, 428,
        121, 110, 340, 373, 589, 553, 280, 278, 144, 377, 146, 114, 159,  54,
        380,  78,  62, 563, 343, 108, 432, 686, 361, 214, 750, 156, 283, 572,
        579,  32, 630, 182, 286, 346, 646, 590,  53, 482, 745, 577, 467, 120,
        112, 554, 671, 578, 235,  51, 248, 748, 692, 591,  35, 210,  88, 749,
         92,  67, 330, 296, 299,  14,   4, 443,  52, 229, 179, 548, 753, 444,
        138, 628, 262, 611, 228, 180, 325, 399, 718, 645, 497, 197, 137, 504,
        420, 300, 409, 352, 178,   3, 621, 245, 438, 491, 532, 364,  22, 205,
        284, 293, 629, 407, 326,  96, 741, 691,  44, 270, 641, 559, 515, 695,
        233, 236, 307, 569, 702, 672, 632, 744, 111, 711, 187,  46, 145, 667,
        637, 421, 181, 317, 116, 164, 483, 683, 239,  98, 320, 168, 356,  33,
        573,  39, 412, 115,  49, 402, 738, 599, 130, 298, 570,  28, 568, 608,
         60, 674, 140,  26, 533,  50, 736,  40, 627, 162, 517,  80, 463,  91,
        418, 631,  68,  72, 451, 341, 615, 564,  57, 172, 408, 431,  90, 309,
        714, 557,  43, 502, 602, 285, 249, 243, 617, 447, 183, 494, 716, 597,
        287, 510, 640, 196, 522, 347,  64,  97, 362, 383,  83, 304, 405, 468,
        147, 413, 348, 191, 426, 360,  95, 555, 524,  29, 565, 337, 681, 600,
        226, 527,  16, 410, 746, 216, 453,  11, 393, 389,   5, 106, 588, 394,
        596, 684, 539, 433, 382, 312,  10, 354, 314, 535, 470, 369, 244, 282,
        255, 417,  87,  94, 626, 105, 201,  69, 188, 652,  24, 593, 669, 209,
        547, 264, 200, 379, 166, 311, 223, 609, 338,  19, 165,  37, 204, 335,
        492, 207, 203, 250, 636, 464, 276, 355,  73, 456, 224,  77, 119, 390,
        725,   0, 351, 124, 509,  42, 436, 601, 175, 734, 246, 586, 192, 302,
        508, 649, 430, 703, 194,  41, 185, 511, 316, 157, 240,  66, 469, 281,
        604, 353,   8, 288, 345, 218, 136,  45, 717,  75, 171, 242, 237, 488,
        477,  81,  86, 651, 518,  99,  30, 571,  61,   9, 705, 259, 322, 375,
        359, 265, 134, 490, 331, 254, 161, 193, 305, 419, 195, 385,   7, 327,
        318, 560,  93, 372, 306, 392, 538, 211, 395, 167,  21, 370,  70, 344,
        334, 422, 202, 576, 339, 170, 310, 523, 697,  85, 473, 215, 227, 618,
        148, 163, 291, 449, 279, 313, 455, 176, 142, 256, 365, 561, 367, 131,
        663, 258,  13, 329, 213, 486, 323, 582, 415, 541,  38, 113, 133, 321,
        731, 128, 644, 376, 295, 349, 208, 401,  84, 715, 332, 416, 206, 406,
        730, 297, 454,   1, 190, 153, 272, 263, 294, 400, 562, 388],
       device='cuda:3')