| { | |
| "format": "flow-encoder-v1", | |
| "stats": "{'a': (array([7.5390834e-01, 4.2449279e+00, 3.7382320e-01, 0.0000000e+00,\n 0.0000000e+00, 6.1391039e+00, 4.3795744e-01, 3.1742798e-05,\n 2.1646752e-05, 5.0996317e-05, 2.9684478e-01, 2.3170350e-01,\n 9.6407972e-02, 3.3725941e-04, 1.2784407e-01, 0.0000000e+00,\n 2.0246046e+00, 3.2773268e-01, 1.5797237e-03, 0.0000000e+00,\n 4.5807651e-01, 2.7187657e+00, 2.0542184e-01, 0.0000000e+00,\n 0.0000000e+00, 3.6015975e+00, 2.8009051e-01, 1.5522259e-05,\n 7.6478973e-06, 2.3815905e-05, 1.9974759e-01, 2.8253847e-01,\n 3.1068888e-02, 6.3220439e-03, 3.1970657e-02, 0.0000000e+00,\n 1.3945329e+00, 1.8849005e-01, 1.0966250e-05, 0.0000000e+00],\n dtype=float32), array([2.5487104e-01, 6.9408745e-01, 1.1136838e+00, 1.0000000e+00,\n 1.0000000e+00, 4.7977691e+00, 2.1841688e+00, 2.7321596e-04,\n 1.5346122e-04, 3.5730499e-04, 3.4343714e-01, 4.4562802e-01,\n 2.3861031e-01, 1.7104886e-02, 2.9467836e-01, 1.0000000e+00,\n 1.9975976e+00, 3.3184922e-01, 3.3035863e-02, 1.0000000e+00,\n 4.2538446e-01, 2.2467170e+00, 9.8955667e-01, 1.0000000e+00,\n 1.0000000e+00, 5.0088787e+00, 1.3832028e+00, 1.3872425e-04,\n 8.8284338e-05, 2.1272243e-04, 3.1436202e-01, 4.3501741e-01,\n 1.4191052e-01, 6.5653361e-02, 1.4775105e-01, 1.0000000e+00,\n 2.1600840e+00, 3.0343351e-01, 2.7569886e-03, 1.0000000e+00],\n dtype=float32)), 'pkt': (array([4.3393192e+00, 0.0000000e+00, 7.1275468e+00, 3.6737725e-01,\n 4.7288141e-01, 9.3847446e-02, 4.9300101e-03, 1.2505201e-01,\n 0.0000000e+00, 1.8073877e+00, 1.1714576e-03, 0.0000000e+00,\n 3.8211212e-01], dtype=float32), array([0.45190457, 1. , 4.8743777 , 0.47710526, 0.49921322,\n 0.2965272 , 0.06987715, 0.33432624, 1. , 2.1064634 ,\n 0.03418621, 1. , 0.482303 ], dtype=float32)), 'a_future': (array([1.9246883 , 4.7623363 , 3.9232318 , 4.83188 , 3.5801668 ,\n 6.840717 , 6.174439 , 0.3252831 , 0.42861813, 0.66091126,\n 0.47986853, 1.4702206 , 0.22728476, 0.20961247, 0.9712848 ,\n 0. , 5.453136 , 0.4534975 , 0.05252349, 0. ],\n dtype=float32), array([0.7983426 , 0.9131875 , 1.7895175 , 0.8112341 , 1.0196111 ,\n 5.2486973 , 4.9339914 , 0.7610485 , 0.95483553, 1.2141304 ,\n 0.54996425, 1.2265649 , 0.41447148, 0.33535007, 1.0182081 ,\n 1. , 2.4972582 , 0.22757377, 0.24794199, 1. ],\n dtype=float32))}", | |
| "side": "split", | |
| "packet_encoder": "gnn", | |
| "budget_ms": 10.0, | |
| "fit_days": [ | |
| "Friday-16-02-2018", | |
| "Friday-02-03-2018", | |
| "Friday-23-02-2018", | |
| "Thursday-15-02-2018", | |
| "Thursday-01-03-2018" | |
| ], | |
| "sample": 320000, | |
| "model_seed": 0, | |
| "nested_keys": [ | |
| "model" | |
| ], | |
| "numpy_keys": [], | |
| "source_checkpoint": "flow_encoder.pt", | |
| "tensor_names": [ | |
| "model.decoders.a.0.bias", | |
| "model.decoders.a.0.weight", | |
| "model.decoders.a.2.bias", | |
| "model.decoders.a.2.weight", | |
| "model.decoders.a_future.0.bias", | |
| "model.decoders.a_future.0.weight", | |
| "model.decoders.a_future.2.bias", | |
| "model.decoders.a_future.2.weight", | |
| "model.decoders.pkt.0.bias", | |
| "model.decoders.pkt.0.weight", | |
| "model.decoders.pkt.2.bias", | |
| "model.decoders.pkt.2.weight", | |
| "model.encoder.convs.0.convs.<flow___contain___packet>.lin_l.bias", | |
| "model.encoder.convs.0.convs.<flow___contain___packet>.lin_l.weight", | |
| "model.encoder.convs.0.convs.<flow___contain___packet>.lin_r.weight", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.eps", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.lin.bias", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.lin.weight", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.nn.0.bias", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.nn.0.weight", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.nn.2.bias", | |
| "model.encoder.convs.0.convs.<packet___link___packet>.nn.2.weight", | |
| "model.encoder.convs.1.convs.<flow___contain___packet>.lin_l.bias", | |
| "model.encoder.convs.1.convs.<flow___contain___packet>.lin_l.weight", | |
| "model.encoder.convs.1.convs.<flow___contain___packet>.lin_r.weight", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.eps", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.lin.bias", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.lin.weight", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.nn.0.bias", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.nn.0.weight", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.nn.2.bias", | |
| "model.encoder.convs.1.convs.<packet___link___packet>.nn.2.weight", | |
| "model.encoder.flow_in.bias", | |
| "model.encoder.flow_in.weight", | |
| "model.encoder.head.0.bias", | |
| "model.encoder.head.0.weight", | |
| "model.encoder.head.2.bias", | |
| "model.encoder.head.2.weight", | |
| "model.encoder.packet_in.bias", | |
| "model.encoder.packet_in.weight", | |
| "model.encoder.side.weight", | |
| "model.encoder.time.omega" | |
| ] | |
| } | |