p-j-r-1-2-3 commited on
Commit
c355839
·
verified ·
1 Parent(s): 6168234

update APPLIED run index

Browse files
applied/_index/APPLIED_RUNS_INDEX.json CHANGED
@@ -5736,5 +5736,493 @@
5736
  "MB": 8.1,
5737
  "sha256": "ff260bcde1f1b305816474c3b0db29db1ae57fc944c42c720b3a679851db6fbd"
5738
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5739
  }
5740
  ]
 
5736
  "MB": 8.1,
5737
  "sha256": "ff260bcde1f1b305816474c3b0db29db1ae57fc944c42c720b3a679851db6fbd"
5738
  }
5739
+ },
5740
+ {
5741
+ "key": "opt06_uticket_prune/no_balance",
5742
+ "tag": "no_balance",
5743
+ "script": "opt06_uticket_prune.py",
5744
+ "hf_folder": "applied/opt06_uticket_prune",
5745
+ "phase": 8,
5746
+ "status": "ok",
5747
+ "duration_s": 336.0,
5748
+ "optimization_summary": {
5749
+ "optimization": "uticket_workload_balanced_pruning",
5750
+ "research_section": "3. Spike sparsity & MAC->AC restructuring",
5751
+ "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
5752
+ "script": "opt06_uticket_prune.py",
5753
+ "baseline_mode": false,
5754
+ "method": "harmonic_matched",
5755
+ "accuracy": {
5756
+ "test_acc": 0.18357142857142858,
5757
+ "test_target_acc": 0.18357142857142858,
5758
+ "best_val_acc": 0.915
5759
+ },
5760
+ "efficiency": {
5761
+ "spikes_per_inference": null,
5762
+ "syn_ops_per_inference": 122885.72605519481,
5763
+ "dense_macs_per_inference": 122675200.0,
5764
+ "event_fraction_of_dense": 0.0010017161256325223,
5765
+ "syn_ops_per_inference_dense_fanout": 64813828.548701294,
5766
+ "weight_sparsity": 0.9910226353818865,
5767
+ "effective_ticks": 17.867857142857144,
5768
+ "num_ticks": 100,
5769
+ "membrane_bytes_per_inference": 451200,
5770
+ "weight_bytes": 4907008,
5771
+ "input_raster_bytes": null,
5772
+ "train_ms_per_step": 101.48871465007687,
5773
+ "infer_ms_per_sample": 0.6597177631249451,
5774
+ "peak_vram_mb": 2836.777472,
5775
+ "weight_bytes_nonzero": 3118
5776
+ },
5777
+ "optimization_specific": {
5778
+ "pruning_enabled": true,
5779
+ "balance_enabled": false,
5780
+ "rounds": 5,
5781
+ "final_sparsity": 0.9993645767571548,
5782
+ "nnz_per_layer": {
5783
+ "layer0": 56,
5784
+ "layer1": 398,
5785
+ "layer2": 319
5786
+ },
5787
+ "pe_stats_per_layer": {
5788
+ "layer0": {
5789
+ "mean_nnz": 0.17500000000000002,
5790
+ "max_nnz": 3.0,
5791
+ "min_nnz": 0.0,
5792
+ "total_nnz": 56,
5793
+ "numel": 921600,
5794
+ "sparsity": 0.9999392361111111,
5795
+ "utilization": 0.05833333333333334
5796
+ },
5797
+ "layer1": {
5798
+ "mean_nnz": 0.77734375,
5799
+ "max_nnz": 4.0,
5800
+ "min_nnz": 0.0,
5801
+ "total_nnz": 398,
5802
+ "numel": 163840,
5803
+ "sparsity": 0.99757080078125,
5804
+ "utilization": 0.1943359375
5805
+ },
5806
+ "layer2": {
5807
+ "mean_nnz": 1.24609375,
5808
+ "max_nnz": 3.0,
5809
+ "min_nnz": 0.0,
5810
+ "total_nnz": 319,
5811
+ "numel": 131072,
5812
+ "sparsity": 0.9975662231445312,
5813
+ "utilization": 0.4153645833333333
5814
+ }
5815
+ },
5816
+ "pe_utilization_final": 0.22267795138888888,
5817
+ "pe_utilization_lth": 0.22267795138888888,
5818
+ "pe_utilization_uticket": 0.22267795138888888,
5819
+ "latency_proxy_dense": 3712,
5820
+ "latency_proxy_final": 10,
5821
+ "latency_reduction_frac": 0.9973060344827587,
5822
+ "rounds_history": [
5823
+ {
5824
+ "round": 1,
5825
+ "layers": {
5826
+ "layer0": {
5827
+ "lth": {
5828
+ "mean_nnz": 21.6,
5829
+ "max_nnz": 31.0,
5830
+ "min_nnz": 13.0,
5831
+ "total_nnz": 6912,
5832
+ "numel": 921600,
5833
+ "sparsity": 0.9925,
5834
+ "utilization": 0.6967741935483871
5835
+ },
5836
+ "uticket": {
5837
+ "mean_nnz": 21.6,
5838
+ "max_nnz": 31.0,
5839
+ "min_nnz": 13.0,
5840
+ "total_nnz": 6912,
5841
+ "numel": 921600,
5842
+ "sparsity": 0.9925,
5843
+ "utilization": 0.6967741935483871
5844
+ }
5845
+ },
5846
+ "layer1": {
5847
+ "lth": {
5848
+ "mean_nnz": 96.0,
5849
+ "max_nnz": 121.0,
5850
+ "min_nnz": 54.0,
5851
+ "total_nnz": 49152,
5852
+ "numel": 163840,
5853
+ "sparsity": 0.7,
5854
+ "utilization": 0.7933884297520661
5855
+ },
5856
+ "uticket": {
5857
+ "mean_nnz": 96.0,
5858
+ "max_nnz": 121.0,
5859
+ "min_nnz": 54.0,
5860
+ "total_nnz": 49152,
5861
+ "numel": 163840,
5862
+ "sparsity": 0.7,
5863
+ "utilization": 0.7933884297520661
5864
+ }
5865
+ },
5866
+ "layer2": {
5867
+ "lth": {
5868
+ "mean_nnz": 153.6015625,
5869
+ "max_nnz": 182.0,
5870
+ "min_nnz": 76.0,
5871
+ "total_nnz": 39322,
5872
+ "numel": 131072,
5873
+ "sparsity": 0.6999969482421875,
5874
+ "utilization": 0.8439646291208791
5875
+ },
5876
+ "uticket": {
5877
+ "mean_nnz": 153.6015625,
5878
+ "max_nnz": 182.0,
5879
+ "min_nnz": 76.0,
5880
+ "total_nnz": 39322,
5881
+ "numel": 131072,
5882
+ "sparsity": 0.6999969482421875,
5883
+ "utilization": 0.8439646291208791
5884
+ }
5885
+ }
5886
+ },
5887
+ "latency_proxy": 334,
5888
+ "sparsity": 0.9215905802819866
5889
+ },
5890
+ {
5891
+ "round": 2,
5892
+ "layers": {
5893
+ "layer0": {
5894
+ "lth": {
5895
+ "mean_nnz": 6.48125,
5896
+ "max_nnz": 19.0,
5897
+ "min_nnz": 0.0,
5898
+ "total_nnz": 2074,
5899
+ "numel": 921600,
5900
+ "sparsity": 0.9977495659722222,
5901
+ "utilization": 0.34111842105263157
5902
+ },
5903
+ "uticket": {
5904
+ "mean_nnz": 6.48125,
5905
+ "max_nnz": 19.0,
5906
+ "min_nnz": 0.0,
5907
+ "total_nnz": 2074,
5908
+ "numel": 921600,
5909
+ "sparsity": 0.9977495659722222,
5910
+ "utilization": 0.34111842105263157
5911
+ }
5912
+ },
5913
+ "layer1": {
5914
+ "lth": {
5915
+ "mean_nnz": 28.80078125,
5916
+ "max_nnz": 50.0,
5917
+ "min_nnz": 2.0,
5918
+ "total_nnz": 14746,
5919
+ "numel": 163840,
5920
+ "sparsity": 0.90999755859375,
5921
+ "utilization": 0.576015625
5922
+ },
5923
+ "uticket": {
5924
+ "mean_nnz": 28.80078125,
5925
+ "max_nnz": 50.0,
5926
+ "min_nnz": 2.0,
5927
+ "total_nnz": 14746,
5928
+ "numel": 163840,
5929
+ "sparsity": 0.90999755859375,
5930
+ "utilization": 0.576015625
5931
+ }
5932
+ },
5933
+ "layer2": {
5934
+ "lth": {
5935
+ "mean_nnz": 46.08203125,
5936
+ "max_nnz": 69.0,
5937
+ "min_nnz": 20.0,
5938
+ "total_nnz": 11797,
5939
+ "numel": 131072,
5940
+ "sparsity": 0.9099960327148438,
5941
+ "utilization": 0.6678555253623188
5942
+ },
5943
+ "uticket": {
5944
+ "mean_nnz": 46.08203125,
5945
+ "max_nnz": 69.0,
5946
+ "min_nnz": 20.0,
5947
+ "total_nnz": 11797,
5948
+ "numel": 131072,
5949
+ "sparsity": 0.9099960327148438,
5950
+ "utilization": 0.6678555253623188
5951
+ }
5952
+ }
5953
+ },
5954
+ "latency_proxy": 138,
5955
+ "sparsity": 0.9764761876578283
5956
+ },
5957
+ {
5958
+ "round": 3,
5959
+ "layers": {
5960
+ "layer0": {
5961
+ "lth": {
5962
+ "mean_nnz": 1.94375,
5963
+ "max_nnz": 9.0,
5964
+ "min_nnz": 0.0,
5965
+ "total_nnz": 622,
5966
+ "numel": 921600,
5967
+ "sparsity": 0.9993250868055555,
5968
+ "utilization": 0.21597222222222223
5969
+ },
5970
+ "uticket": {
5971
+ "mean_nnz": 1.94375,
5972
+ "max_nnz": 9.0,
5973
+ "min_nnz": 0.0,
5974
+ "total_nnz": 622,
5975
+ "numel": 921600,
5976
+ "sparsity": 0.9993250868055555,
5977
+ "utilization": 0.21597222222222223
5978
+ }
5979
+ },
5980
+ "layer1": {
5981
+ "lth": {
5982
+ "mean_nnz": 8.640625,
5983
+ "max_nnz": 21.0,
5984
+ "min_nnz": 0.0,
5985
+ "total_nnz": 4424,
5986
+ "numel": 163840,
5987
+ "sparsity": 0.972998046875,
5988
+ "utilization": 0.4114583333333333
5989
+ },
5990
+ "uticket": {
5991
+ "mean_nnz": 8.640625,
5992
+ "max_nnz": 21.0,
5993
+ "min_nnz": 0.0,
5994
+ "total_nnz": 4424,
5995
+ "numel": 163840,
5996
+ "sparsity": 0.972998046875,
5997
+ "utilization": 0.4114583333333333
5998
+ }
5999
+ },
6000
+ "layer2": {
6001
+ "lth": {
6002
+ "mean_nnz": 13.82421875,
6003
+ "max_nnz": 24.0,
6004
+ "min_nnz": 6.0,
6005
+ "total_nnz": 3539,
6006
+ "numel": 131072,
6007
+ "sparsity": 0.9729995727539062,
6008
+ "utilization": 0.5760091145833334
6009
+ },
6010
+ "uticket": {
6011
+ "mean_nnz": 13.82421875,
6012
+ "max_nnz": 24.0,
6013
+ "min_nnz": 6.0,
6014
+ "total_nnz": 3539,
6015
+ "numel": 131072,
6016
+ "sparsity": 0.9729995727539062,
6017
+ "utilization": 0.5760091145833334
6018
+ }
6019
+ }
6020
+ },
6021
+ "latency_proxy": 54,
6022
+ "sparsity": 0.9929429384995792
6023
+ },
6024
+ {
6025
+ "round": 4,
6026
+ "layers": {
6027
+ "layer0": {
6028
+ "lth": {
6029
+ "mean_nnz": 0.584375,
6030
+ "max_nnz": 5.0,
6031
+ "min_nnz": 0.0,
6032
+ "total_nnz": 187,
6033
+ "numel": 921600,
6034
+ "sparsity": 0.9997970920138889,
6035
+ "utilization": 0.11687499999999999
6036
+ },
6037
+ "uticket": {
6038
+ "mean_nnz": 0.584375,
6039
+ "max_nnz": 5.0,
6040
+ "min_nnz": 0.0,
6041
+ "total_nnz": 187,
6042
+ "numel": 921600,
6043
+ "sparsity": 0.9997970920138889,
6044
+ "utilization": 0.11687499999999999
6045
+ }
6046
+ },
6047
+ "layer1": {
6048
+ "lth": {
6049
+ "mean_nnz": 2.591796875,
6050
+ "max_nnz": 9.0,
6051
+ "min_nnz": 0.0,
6052
+ "total_nnz": 1327,
6053
+ "numel": 163840,
6054
+ "sparsity": 0.991900634765625,
6055
+ "utilization": 0.2879774305555556
6056
+ },
6057
+ "uticket": {
6058
+ "mean_nnz": 2.591796875,
6059
+ "max_nnz": 9.0,
6060
+ "min_nnz": 0.0,
6061
+ "total_nnz": 1327,
6062
+ "numel": 163840,
6063
+ "sparsity": 0.991900634765625,
6064
+ "utilization": 0.2879774305555556
6065
+ }
6066
+ },
6067
+ "layer2": {
6068
+ "lth": {
6069
+ "mean_nnz": 4.1484375,
6070
+ "max_nnz": 9.0,
6071
+ "min_nnz": 1.0,
6072
+ "total_nnz": 1062,
6073
+ "numel": 131072,
6074
+ "sparsity": 0.9918975830078125,
6075
+ "utilization": 0.4609375
6076
+ },
6077
+ "uticket": {
6078
+ "mean_nnz": 4.1484375,
6079
+ "max_nnz": 9.0,
6080
+ "min_nnz": 1.0,
6081
+ "total_nnz": 1062,
6082
+ "numel": 131072,
6083
+ "sparsity": 0.9918975830078125,
6084
+ "utilization": 0.4609375
6085
+ }
6086
+ }
6087
+ },
6088
+ "latency_proxy": 23,
6089
+ "sparsity": 0.9978824705387206
6090
+ },
6091
+ {
6092
+ "round": 5,
6093
+ "layers": {
6094
+ "layer0": {
6095
+ "lth": {
6096
+ "mean_nnz": 0.17500000000000002,
6097
+ "max_nnz": 3.0,
6098
+ "min_nnz": 0.0,
6099
+ "total_nnz": 56,
6100
+ "numel": 921600,
6101
+ "sparsity": 0.9999392361111111,
6102
+ "utilization": 0.05833333333333334
6103
+ },
6104
+ "uticket": {
6105
+ "mean_nnz": 0.17500000000000002,
6106
+ "max_nnz": 3.0,
6107
+ "min_nnz": 0.0,
6108
+ "total_nnz": 56,
6109
+ "numel": 921600,
6110
+ "sparsity": 0.9999392361111111,
6111
+ "utilization": 0.05833333333333334
6112
+ }
6113
+ },
6114
+ "layer1": {
6115
+ "lth": {
6116
+ "mean_nnz": 0.77734375,
6117
+ "max_nnz": 4.0,
6118
+ "min_nnz": 0.0,
6119
+ "total_nnz": 398,
6120
+ "numel": 163840,
6121
+ "sparsity": 0.99757080078125,
6122
+ "utilization": 0.1943359375
6123
+ },
6124
+ "uticket": {
6125
+ "mean_nnz": 0.77734375,
6126
+ "max_nnz": 4.0,
6127
+ "min_nnz": 0.0,
6128
+ "total_nnz": 398,
6129
+ "numel": 163840,
6130
+ "sparsity": 0.99757080078125,
6131
+ "utilization": 0.1943359375
6132
+ }
6133
+ },
6134
+ "layer2": {
6135
+ "lth": {
6136
+ "mean_nnz": 1.24609375,
6137
+ "max_nnz": 3.0,
6138
+ "min_nnz": 0.0,
6139
+ "total_nnz": 319,
6140
+ "numel": 131072,
6141
+ "sparsity": 0.9975662231445312,
6142
+ "utilization": 0.4153645833333333
6143
+ },
6144
+ "uticket": {
6145
+ "mean_nnz": 1.24609375,
6146
+ "max_nnz": 3.0,
6147
+ "min_nnz": 0.0,
6148
+ "total_nnz": 319,
6149
+ "numel": 131072,
6150
+ "sparsity": 0.9975662231445312,
6151
+ "utilization": 0.4153645833333333
6152
+ }
6153
+ }
6154
+ },
6155
+ "latency_proxy": 10,
6156
+ "sparsity": 0.9993645767571548
6157
+ }
6158
+ ],
6159
+ "latency_proxy_lth": 10,
6160
+ "latency_reduction_vs_lth_frac": 0.0
6161
+ },
6162
+ "config": {
6163
+ "method": "harmonic_matched",
6164
+ "data_root": "/kaggle/working/data",
6165
+ "subjects": "",
6166
+ "blocks": "",
6167
+ "limit": 0,
6168
+ "drop_rest": true,
6169
+ "resplit": "block",
6170
+ "test_blocks": "6",
6171
+ "class_weight": false,
6172
+ "epochs": 60,
6173
+ "batch_size": 64,
6174
+ "lr": 0.002,
6175
+ "weight_decay": 0.0005,
6176
+ "grad_clip": 5.0,
6177
+ "num_bins": 100,
6178
+ "window_sec": 5.0,
6179
+ "hidden": "512,256",
6180
+ "freq_groups": 8,
6181
+ "dropout": 0.3,
6182
+ "spike_drop": 0.1,
6183
+ "time_jitter": 2,
6184
+ "label_smoothing": 0.05,
6185
+ "no_batchnorm": false,
6186
+ "binary_input": false,
6187
+ "beta": 1.0,
6188
+ "thresh": 1.0,
6189
+ "window": 0.5,
6190
+ "gain": 1.0,
6191
+ "alpha": 0.9,
6192
+ "readout": "spikecount",
6193
+ "fake_quant": 0,
6194
+ "amp": false,
6195
+ "spike_reg": 0.0,
6196
+ "event_eval": true,
6197
+ "decision_margin": 2.0,
6198
+ "export": false,
6199
+ "seed": 1234,
6200
+ "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/no_balance",
6201
+ "repo_id": "UWU-R-13/SSVEP-SNN",
6202
+ "push_hf": false,
6203
+ "keep_epoch_weights": 1,
6204
+ "no_resume": true,
6205
+ "selftest": false,
6206
+ "baseline": false,
6207
+ "bench": true,
6208
+ "bench_warmup": 10,
6209
+ "bench_iters": 50,
6210
+ "bench_train_steps": 20,
6211
+ "prune_rounds": 5,
6212
+ "prune_rate": 0.7,
6213
+ "rewind_epoch": 1,
6214
+ "balance": false,
6215
+ "balance_iters": 2,
6216
+ "prune_readout": false,
6217
+ "sampling_rate": 250.0
6218
+ }
6219
+ },
6220
+ "zip": {
6221
+ "name": "no_balance.zip",
6222
+ "files": 81,
6223
+ "bytes": 8072095,
6224
+ "MB": 8.1,
6225
+ "sha256": "03f8c3bfa863c3e46ffb08d9deff382fce93499bbdbee3b6d6d576fce9ce9721"
6226
+ }
6227
  }
6228
  ]