高通压缩框架-剪枝-SVD_auto_mode-（vgg16log）
程序员文章站
2022-05-20 22:51:09
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a72ac4f2f51e:/usr/local/bin/python -u /opt/project/torch_model.py
2020-12-25 05:33:13,332 - root - INFO - AIMET
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2020-12-25 05:33:16,180 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:33:16,200 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 5
2020-12-25 05:33:16,216 - Svd - INFO - Splitting module: features.3 with rank: 5
--------------------testing----------------------------
Computing :Loss: -2.6097919921875 Accuracy: 19.2%)
2020-12-25 05:33:21,956 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.100000 ==> eval_score=19.200000
2020-12-25 05:33:21,957 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:33:22,013 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 11
2020-12-25 05:33:22,032 - Svd - INFO - Splitting module: features.3 with rank: 11
--------------------testing----------------------------
Computing :Loss: -4.172859350585938 Accuracy: 25.51%)
2020-12-25 05:33:27,421 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.200000 ==> eval_score=25.510000
2020-12-25 05:33:27,421 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:33:27,447 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 17
2020-12-25 05:33:27,461 - Svd - INFO - Splitting module: features.3 with rank: 17
--------------------testing----------------------------
Computing :Loss: -4.3725832641601565 Accuracy: 26.14%)
2020-12-25 05:33:32,957 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.300000 ==> eval_score=26.140000
2020-12-25 05:33:32,958 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:33:32,993 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 23
2020-12-25 05:33:33,012 - Svd - INFO - Splitting module: features.3 with rank: 23
--------------------testing----------------------------
Computing :Loss: -4.472229382324219 Accuracy: 26.33%)
2020-12-25 05:33:38,611 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.400000 ==> eval_score=26.330000
2020-12-25 05:33:38,611 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:33:38,648 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 28
2020-12-25 05:33:38,662 - Svd - INFO - Splitting module: features.3 with rank: 28
--------------------testing----------------------------
Computing :Loss: -4.473347351074219 Accuracy: 26.3%)
2020-12-25 05:33:44,073 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.500000 ==> eval_score=26.300000
2020-12-25 05:33:44,073 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:33:44,111 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 34
2020-12-25 05:33:44,125 - Svd - INFO - Splitting module: features.3 with rank: 34
--------------------testing----------------------------
Computing :Loss: -4.47308876953125 Accuracy: 26.3%)
2020-12-25 05:33:49,350 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.600000 ==> eval_score=26.300000
2020-12-25 05:33:49,351 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:33:49,388 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 40
2020-12-25 05:33:49,402 - Svd - INFO - Splitting module: features.3 with rank: 40
--------------------testing----------------------------
Computing :Loss: -4.473310144042968 Accuracy: 26.28%)
2020-12-25 05:33:54,918 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.700000 ==> eval_score=26.280000
2020-12-25 05:33:54,918 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:33:54,946 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 46
2020-12-25 05:33:54,960 - Svd - INFO - Splitting module: features.3 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.473819604492188 Accuracy: 26.3%)
2020-12-25 05:34:01,484 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.800000 ==> eval_score=26.300000
2020-12-25 05:34:01,484 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:34:01,516 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 51
2020-12-25 05:34:01,530 - Svd - INFO - Splitting module: features.3 with rank: 51
--------------------testing----------------------------
Computing :Loss: -4.473433850097656 Accuracy: 26.32%)
2020-12-25 05:34:07,131 - CompRatioSelect - INFO - Layer features.3, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:34:07,131 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:34:07,159 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 6
2020-12-25 05:34:07,186 - Svd - INFO - Splitting module: features.7 with rank: 6
--------------------testing----------------------------
Computing :Loss: -3.035197180175781 Accuracy: 21.61%)
2020-12-25 05:34:12,339 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.100000 ==> eval_score=21.610000
2020-12-25 05:34:12,339 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:34:12,361 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 12
2020-12-25 05:34:12,388 - Svd - INFO - Splitting module: features.7 with rank: 12
--------------------testing----------------------------
Computing :Loss: -4.168987902832031 Accuracy: 25.4%)
2020-12-25 05:34:17,899 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.200000 ==> eval_score=25.400000
2020-12-25 05:34:17,899 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:34:17,934 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 18
2020-12-25 05:34:17,960 - Svd - INFO - Splitting module: features.7 with rank: 18
--------------------testing----------------------------
Computing :Loss: -4.340465161132813 Accuracy: 26.07%)
2020-12-25 05:34:23,337 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.300000 ==> eval_score=26.070000
2020-12-25 05:34:23,338 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:34:23,362 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 24
2020-12-25 05:34:23,388 - Svd - INFO - Splitting module: features.7 with rank: 24
--------------------testing----------------------------
Computing :Loss: -4.425159826660156 Accuracy: 26.32%)
2020-12-25 05:34:28,529 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.400000 ==> eval_score=26.320000
2020-12-25 05:34:28,529 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:34:28,553 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 30
2020-12-25 05:34:28,589 - Svd - INFO - Splitting module: features.7 with rank: 30
--------------------testing----------------------------
Computing :Loss: -4.4533914306640625 Accuracy: 26.33%)
2020-12-25 05:34:34,150 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.500000 ==> eval_score=26.330000
2020-12-25 05:34:34,151 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:34:34,177 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 36
2020-12-25 05:34:34,204 - Svd - INFO - Splitting module: features.7 with rank: 36
--------------------testing----------------------------
Computing :Loss: -4.4699830810546874 Accuracy: 26.3%)
2020-12-25 05:34:40,058 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.600000 ==> eval_score=26.300000
2020-12-25 05:34:40,059 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:34:40,082 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 42
2020-12-25 05:34:40,109 - Svd - INFO - Splitting module: features.7 with rank: 42
--------------------testing----------------------------
Computing :Loss: -4.471544055175781 Accuracy: 26.31%)
2020-12-25 05:34:46,245 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.700000 ==> eval_score=26.310000
2020-12-25 05:34:46,245 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:34:46,271 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 48
2020-12-25 05:34:46,299 - Svd - INFO - Splitting module: features.7 with rank: 48
--------------------testing----------------------------
Computing :Loss: -4.472641381835937 Accuracy: 26.29%)
2020-12-25 05:34:53,223 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.800000 ==> eval_score=26.290000
2020-12-25 05:34:53,223 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:34:53,264 - Svd - INFO - Weight SVD splitting layer: features.7 using rank: 54
2020-12-25 05:34:53,291 - Svd - INFO - Splitting module: features.7 with rank: 54
--------------------testing----------------------------
Computing :Loss: -4.474176025390625 Accuracy: 26.31%)
2020-12-25 05:34:59,998 - CompRatioSelect - INFO - Layer features.7, comp_ratio 0.900000 ==> eval_score=26.310000
2020-12-25 05:34:59,999 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:35:00,023 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 11
2020-12-25 05:35:00,076 - Svd - INFO - Splitting module: features.10 with rank: 11
--------------------testing----------------------------
Computing :Loss: -3.3344478881835937 Accuracy: 23.65%)
2020-12-25 05:35:06,514 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.100000 ==> eval_score=23.650000
2020-12-25 05:35:06,514 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:35:06,539 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 23
2020-12-25 05:35:06,610 - Svd - INFO - Splitting module: features.10 with rank: 23
--------------------testing----------------------------
Computing :Loss: -4.197069702148437 Accuracy: 25.79%)
2020-12-25 05:35:13,624 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.200000 ==> eval_score=25.790000
2020-12-25 05:35:13,624 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:35:13,659 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 34
2020-12-25 05:35:13,731 - Svd - INFO - Splitting module: features.10 with rank: 34
--------------------testing----------------------------
Computing :Loss: -4.360681628417969 Accuracy: 26.23%)
2020-12-25 05:35:20,374 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.300000 ==> eval_score=26.230000
2020-12-25 05:35:20,374 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:35:20,407 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 46
2020-12-25 05:35:20,461 - Svd - INFO - Splitting module: features.10 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.424348498535156 Accuracy: 26.27%)
2020-12-25 05:35:27,156 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.400000 ==> eval_score=26.270000
2020-12-25 05:35:27,156 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:35:27,192 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 57
2020-12-25 05:35:27,245 - Svd - INFO - Splitting module: features.10 with rank: 57
--------------------testing----------------------------
Computing :Loss: -4.4449011352539065 Accuracy: 26.28%)
2020-12-25 05:35:34,040 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.500000 ==> eval_score=26.280000
2020-12-25 05:35:34,040 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:35:34,067 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 69
2020-12-25 05:35:34,120 - Svd - INFO - Splitting module: features.10 with rank: 69
--------------------testing----------------------------
Computing :Loss: -4.457911706542968 Accuracy: 26.33%)
2020-12-25 05:35:40,991 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.600000 ==> eval_score=26.330000
2020-12-25 05:35:40,991 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:35:41,018 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 80
2020-12-25 05:35:41,091 - Svd - INFO - Splitting module: features.10 with rank: 80
--------------------testing----------------------------
Computing :Loss: -4.461891455078125 Accuracy: 26.3%)
2020-12-25 05:35:48,158 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.700000 ==> eval_score=26.300000
2020-12-25 05:35:48,159 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:35:48,187 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 92
2020-12-25 05:35:48,259 - Svd - INFO - Splitting module: features.10 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.4673359375 Accuracy: 26.32%)
2020-12-25 05:35:55,200 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.800000 ==> eval_score=26.320000
2020-12-25 05:35:55,201 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:35:55,229 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 103
2020-12-25 05:35:55,301 - Svd - INFO - Splitting module: features.10 with rank: 103
--------------------testing----------------------------
Computing :Loss: -4.471357775878906 Accuracy: 26.32%)
2020-12-25 05:36:02,380 - CompRatioSelect - INFO - Layer features.10, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:36:02,381 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:36:02,406 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 12
2020-12-25 05:36:02,527 - Svd - INFO - Splitting module: features.14 with rank: 12
--------------------testing----------------------------
Computing :Loss: -2.9871055419921877 Accuracy: 21.63%)
2020-12-25 05:36:09,442 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.100000 ==> eval_score=21.630000
2020-12-25 05:36:09,442 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:36:09,468 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 24
2020-12-25 05:36:09,610 - Svd - INFO - Splitting module: features.14 with rank: 24
--------------------testing----------------------------
Computing :Loss: -4.16436796875 Accuracy: 25.68%)
2020-12-25 05:36:16,236 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.200000 ==> eval_score=25.680000
2020-12-25 05:36:16,236 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:36:16,260 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 36
2020-12-25 05:36:16,362 - Svd - INFO - Splitting module: features.14 with rank: 36
--------------------testing----------------------------
Computing :Loss: -4.359366833496094 Accuracy: 26.04%)
2020-12-25 05:36:22,956 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.300000 ==> eval_score=26.040000
2020-12-25 05:36:22,956 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:36:22,984 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 48
2020-12-25 05:36:23,121 - Svd - INFO - Splitting module: features.14 with rank: 48
--------------------testing----------------------------
Computing :Loss: -4.4238986328125 Accuracy: 26.17%)
2020-12-25 05:36:30,016 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.400000 ==> eval_score=26.170000
2020-12-25 05:36:30,017 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:36:30,043 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 60
2020-12-25 05:36:30,148 - Svd - INFO - Splitting module: features.14 with rank: 60
--------------------testing----------------------------
Computing :Loss: -4.453479553222656 Accuracy: 26.33%)
2020-12-25 05:36:37,241 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.500000 ==> eval_score=26.330000
2020-12-25 05:36:37,241 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:36:37,267 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 72
2020-12-25 05:36:37,374 - Svd - INFO - Splitting module: features.14 with rank: 72
--------------------testing----------------------------
Computing :Loss: -4.466008642578125 Accuracy: 26.35%)
2020-12-25 05:36:44,437 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.600000 ==> eval_score=26.350000
2020-12-25 05:36:44,438 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:36:44,467 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 84
2020-12-25 05:36:44,614 - Svd - INFO - Splitting module: features.14 with rank: 84
--------------------testing----------------------------
Computing :Loss: -4.4692087036132815 Accuracy: 26.29%)
2020-12-25 05:36:51,669 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.700000 ==> eval_score=26.290000
2020-12-25 05:36:51,669 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:36:51,696 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 97
2020-12-25 05:36:51,838 - Svd - INFO - Splitting module: features.14 with rank: 97
--------------------testing----------------------------
Computing :Loss: -4.470539758300781 Accuracy: 26.32%)
2020-12-25 05:36:58,925 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.800000 ==> eval_score=26.320000
2020-12-25 05:36:58,926 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:36:58,950 - Svd - INFO - Weight SVD splitting layer: features.14 using rank: 109
2020-12-25 05:36:59,083 - Svd - INFO - Splitting module: features.14 with rank: 109
--------------------testing----------------------------
Computing :Loss: -4.470654382324219 Accuracy: 26.31%)
2020-12-25 05:37:05,266 - CompRatioSelect - INFO - Layer features.14, comp_ratio 0.900000 ==> eval_score=26.310000
2020-12-25 05:37:05,267 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:37:05,300 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 23
2020-12-25 05:37:05,584 - Svd - INFO - Splitting module: features.17 with rank: 23
--------------------testing----------------------------
Computing :Loss: -3.522664978027344 Accuracy: 24.85%)
2020-12-25 05:37:11,329 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.100000 ==> eval_score=24.850000
2020-12-25 05:37:11,330 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:37:11,358 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 46
2020-12-25 05:37:11,601 - Svd - INFO - Splitting module: features.17 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.183784509277344 Accuracy: 25.9%)
2020-12-25 05:37:18,470 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.200000 ==> eval_score=25.900000
2020-12-25 05:37:18,470 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:37:18,504 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 69
2020-12-25 05:37:18,786 - Svd - INFO - Splitting module: features.17 with rank: 69
--------------------testing----------------------------
Computing :Loss: -4.343336181640625 Accuracy: 26.18%)
2020-12-25 05:37:25,710 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.300000 ==> eval_score=26.180000
2020-12-25 05:37:25,710 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:37:25,737 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 92
2020-12-25 05:37:26,021 - Svd - INFO - Splitting module: features.17 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.411659411621094 Accuracy: 26.3%)
2020-12-25 05:37:32,932 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.400000 ==> eval_score=26.300000
2020-12-25 05:37:32,932 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:37:32,968 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 115
2020-12-25 05:37:33,250 - Svd - INFO - Splitting module: features.17 with rank: 115
--------------------testing----------------------------
Computing :Loss: -4.439051977539062 Accuracy: 26.29%)
2020-12-25 05:37:40,538 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.500000 ==> eval_score=26.290000
2020-12-25 05:37:40,538 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:37:40,572 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 138
2020-12-25 05:37:40,834 - Svd - INFO - Splitting module: features.17 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.450867980957031 Accuracy: 26.31%)
2020-12-25 05:37:47,940 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.600000 ==> eval_score=26.310000
2020-12-25 05:37:47,940 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:37:47,981 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 161
2020-12-25 05:37:48,267 - Svd - INFO - Splitting module: features.17 with rank: 161
--------------------testing----------------------------
Computing :Loss: -4.4592971435546875 Accuracy: 26.33%)
2020-12-25 05:37:55,462 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.700000 ==> eval_score=26.330000
2020-12-25 05:37:55,462 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:37:55,487 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 184
2020-12-25 05:37:55,692 - Svd - INFO - Splitting module: features.17 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.466349206542969 Accuracy: 26.34%)
2020-12-25 05:38:02,814 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.800000 ==> eval_score=26.340000
2020-12-25 05:38:02,815 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:38:02,847 - Svd - INFO - Weight SVD splitting layer: features.17 using rank: 207
2020-12-25 05:38:03,062 - Svd - INFO - Splitting module: features.17 with rank: 207
--------------------testing----------------------------
Computing :Loss: -4.470485900878907 Accuracy: 26.28%)
2020-12-25 05:38:10,405 - CompRatioSelect - INFO - Layer features.17, comp_ratio 0.900000 ==> eval_score=26.280000
2020-12-25 05:38:10,405 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:38:10,445 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 23
2020-12-25 05:38:10,722 - Svd - INFO - Splitting module: features.20 with rank: 23
--------------------testing----------------------------
Computing :Loss: -3.2074537109375 Accuracy: 24.13%)
2020-12-25 05:38:17,524 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.100000 ==> eval_score=24.130000
2020-12-25 05:38:17,524 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:38:17,554 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 46
2020-12-25 05:38:17,838 - Svd - INFO - Splitting module: features.20 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.123289392089844 Accuracy: 25.63%)
2020-12-25 05:38:24,597 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.200000 ==> eval_score=25.630000
2020-12-25 05:38:24,597 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:38:24,639 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 69
2020-12-25 05:38:24,851 - Svd - INFO - Splitting module: features.20 with rank: 69
--------------------testing----------------------------
Computing :Loss: -4.3425994384765625 Accuracy: 26.0%)
2020-12-25 05:38:31,592 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.300000 ==> eval_score=26.000000
2020-12-25 05:38:31,592 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:38:31,619 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 92
2020-12-25 05:38:31,880 - Svd - INFO - Splitting module: features.20 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.4163446044921875 Accuracy: 26.25%)
2020-12-25 05:38:39,020 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.400000 ==> eval_score=26.250000
2020-12-25 05:38:39,020 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:38:39,055 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 115
2020-12-25 05:38:39,260 - Svd - INFO - Splitting module: features.20 with rank: 115
--------------------testing----------------------------
Computing :Loss: -4.442388720703125 Accuracy: 26.33%)
2020-12-25 05:38:46,284 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.500000 ==> eval_score=26.330000
2020-12-25 05:38:46,285 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:38:46,321 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 138
2020-12-25 05:38:46,538 - Svd - INFO - Splitting module: features.20 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.458422021484375 Accuracy: 26.28%)
2020-12-25 05:38:53,712 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.600000 ==> eval_score=26.280000
2020-12-25 05:38:53,712 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:38:53,747 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 161
2020-12-25 05:38:53,957 - Svd - INFO - Splitting module: features.20 with rank: 161
--------------------testing----------------------------
Computing :Loss: -4.465542004394531 Accuracy: 26.33%)
2020-12-25 05:39:01,053 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.700000 ==> eval_score=26.330000
2020-12-25 05:39:01,054 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:39:01,089 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 184
2020-12-25 05:39:01,374 - Svd - INFO - Splitting module: features.20 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.468373498535156 Accuracy: 26.34%)
2020-12-25 05:39:08,636 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.800000 ==> eval_score=26.340000
2020-12-25 05:39:08,636 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:39:08,673 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 207
2020-12-25 05:39:08,947 - Svd - INFO - Splitting module: features.20 with rank: 207
--------------------testing----------------------------
Computing :Loss: -4.471281640625 Accuracy: 26.35%)
2020-12-25 05:39:16,424 - CompRatioSelect - INFO - Layer features.20, comp_ratio 0.900000 ==> eval_score=26.350000
2020-12-25 05:39:16,424 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:39:16,463 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 24
2020-12-25 05:39:17,013 - Svd - INFO - Splitting module: features.24 with rank: 24
--------------------testing----------------------------
Computing :Loss: -4.078500622558594 Accuracy: 25.54%)
2020-12-25 05:39:23,792 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.100000 ==> eval_score=25.540000
2020-12-25 05:39:23,792 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:39:23,825 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 48
2020-12-25 05:39:24,386 - Svd - INFO - Splitting module: features.24 with rank: 48
--------------------testing----------------------------
Computing :Loss: -4.3718366577148435 Accuracy: 26.06%)
2020-12-25 05:39:31,491 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.200000 ==> eval_score=26.060000
2020-12-25 05:39:31,492 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:39:31,518 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 72
2020-12-25 05:39:32,090 - Svd - INFO - Splitting module: features.24 with rank: 72
--------------------testing----------------------------
Computing :Loss: -4.43714521484375 Accuracy: 26.28%)
2020-12-25 05:39:39,322 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.300000 ==> eval_score=26.280000
2020-12-25 05:39:39,322 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:39:39,347 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 97
2020-12-25 05:39:39,925 - Svd - INFO - Splitting module: features.24 with rank: 97
--------------------testing----------------------------
Computing :Loss: -4.458657983398438 Accuracy: 26.33%)
2020-12-25 05:39:47,457 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.400000 ==> eval_score=26.330000
2020-12-25 05:39:47,458 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:39:47,485 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 121
2020-12-25 05:39:48,062 - Svd - INFO - Splitting module: features.24 with rank: 121
--------------------testing----------------------------
Computing :Loss: -4.466744836425781 Accuracy: 26.34%)
2020-12-25 05:39:55,795 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.500000 ==> eval_score=26.340000
2020-12-25 05:39:55,796 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:39:55,822 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 145
2020-12-25 05:39:56,401 - Svd - INFO - Splitting module: features.24 with rank: 145
--------------------testing----------------------------
Computing :Loss: -4.471515209960938 Accuracy: 26.34%)
2020-12-25 05:40:04,514 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.600000 ==> eval_score=26.340000
2020-12-25 05:40:04,515 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:40:04,554 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 169
2020-12-25 05:40:04,964 - Svd - INFO - Splitting module: features.24 with rank: 169
--------------------testing----------------------------
Computing :Loss: -4.474362573242187 Accuracy: 26.33%)
2020-12-25 05:40:13,109 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.700000 ==> eval_score=26.330000
2020-12-25 05:40:13,110 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:40:13,140 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 194
2020-12-25 05:40:13,553 - Svd - INFO - Splitting module: features.24 with rank: 194
--------------------testing----------------------------
Computing :Loss: -4.473825988769531 Accuracy: 26.3%)
2020-12-25 05:40:21,867 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.800000 ==> eval_score=26.300000
2020-12-25 05:40:21,867 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:40:21,911 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 218
2020-12-25 05:40:22,492 - Svd - INFO - Splitting module: features.24 with rank: 218
--------------------testing----------------------------
Computing :Loss: -4.474142114257813 Accuracy: 26.33%)
2020-12-25 05:40:31,232 - CompRatioSelect - INFO - Layer features.24, comp_ratio 0.900000 ==> eval_score=26.330000
2020-12-25 05:40:31,233 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:40:31,263 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 46
2020-12-25 05:40:32,337 - Svd - INFO - Splitting module: features.27 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.328802185058594 Accuracy: 26.22%)
2020-12-25 05:40:38,283 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.100000 ==> eval_score=26.220000
2020-12-25 05:40:38,283 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:40:38,325 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 92
2020-12-25 05:40:39,345 - Svd - INFO - Splitting module: features.27 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.45014189453125 Accuracy: 26.24%)
2020-12-25 05:40:45,062 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.200000 ==> eval_score=26.240000
2020-12-25 05:40:45,062 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:40:45,094 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 138
2020-12-25 05:40:45,921 - Svd - INFO - Splitting module: features.27 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.466215771484375 Accuracy: 26.28%)
2020-12-25 05:40:51,796 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.300000 ==> eval_score=26.280000
2020-12-25 05:40:51,797 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:40:51,821 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 184
2020-12-25 05:40:52,654 - Svd - INFO - Splitting module: features.27 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.468742260742188 Accuracy: 26.33%)
2020-12-25 05:40:59,118 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.400000 ==> eval_score=26.330000
2020-12-25 05:40:59,118 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:40:59,150 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 230
2020-12-25 05:40:59,962 - Svd - INFO - Splitting module: features.27 with rank: 230
--------------------testing----------------------------
Computing :Loss: -4.471264660644532 Accuracy: 26.35%)
2020-12-25 05:41:06,685 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.500000 ==> eval_score=26.350000
2020-12-25 05:41:06,686 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:41:06,710 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 276
2020-12-25 05:41:07,523 - Svd - INFO - Splitting module: features.27 with rank: 276
--------------------testing----------------------------
Computing :Loss: -4.4724666748046875 Accuracy: 26.33%)
2020-12-25 05:41:14,602 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.600000 ==> eval_score=26.330000
2020-12-25 05:41:14,602 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:41:14,635 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 322
2020-12-25 05:41:15,462 - Svd - INFO - Splitting module: features.27 with rank: 322
--------------------testing----------------------------
Computing :Loss: -4.4736618774414065 Accuracy: 26.33%)
2020-12-25 05:41:22,998 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.700000 ==> eval_score=26.330000
2020-12-25 05:41:22,999 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:41:23,019 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 368
2020-12-25 05:41:23,870 - Svd - INFO - Splitting module: features.27 with rank: 368
--------------------testing----------------------------
Computing :Loss: -4.473246203613281 Accuracy: 26.34%)
2020-12-25 05:41:31,769 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.800000 ==> eval_score=26.340000
2020-12-25 05:41:31,769 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:41:31,801 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 414
2020-12-25 05:41:32,624 - Svd - INFO - Splitting module: features.27 with rank: 414
--------------------testing----------------------------
Computing :Loss: -4.47335751953125 Accuracy: 26.32%)
2020-12-25 05:41:40,849 - CompRatioSelect - INFO - Layer features.27, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:41:40,849 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:41:40,875 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 46
2020-12-25 05:41:41,912 - Svd - INFO - Splitting module: features.30 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.441877001953125 Accuracy: 26.3%)
2020-12-25 05:41:48,879 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.100000 ==> eval_score=26.300000
2020-12-25 05:41:48,879 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:41:48,918 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 92
2020-12-25 05:41:49,737 - Svd - INFO - Splitting module: features.30 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.475734106445312 Accuracy: 26.3%)
2020-12-25 05:41:56,812 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.200000 ==> eval_score=26.300000
2020-12-25 05:41:56,812 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:41:56,844 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 138
2020-12-25 05:41:57,881 - Svd - INFO - Splitting module: features.30 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.4757325561523436 Accuracy: 26.31%)
2020-12-25 05:42:05,224 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.300000 ==> eval_score=26.310000
2020-12-25 05:42:05,224 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:42:05,253 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 184
2020-12-25 05:42:06,337 - Svd - INFO - Splitting module: features.30 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.474675146484375 Accuracy: 26.3%)
2020-12-25 05:42:13,922 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.400000 ==> eval_score=26.300000
2020-12-25 05:42:13,923 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:42:13,958 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 230
2020-12-25 05:42:14,762 - Svd - INFO - Splitting module: features.30 with rank: 230
--------------------testing----------------------------
Computing :Loss: -4.474375524902344 Accuracy: 26.31%)
2020-12-25 05:42:22,630 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.500000 ==> eval_score=26.310000
2020-12-25 05:42:22,630 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:42:22,659 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 276
2020-12-25 05:42:23,469 - Svd - INFO - Splitting module: features.30 with rank: 276
--------------------testing----------------------------
Computing :Loss: -4.474063415527343 Accuracy: 26.32%)
2020-12-25 05:42:32,462 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.600000 ==> eval_score=26.320000
2020-12-25 05:42:32,462 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:42:32,496 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 322
2020-12-25 05:42:33,536 - Svd - INFO - Splitting module: features.30 with rank: 322
--------------------testing----------------------------
Computing :Loss: -4.47347802734375 Accuracy: 26.33%)
2020-12-25 05:42:42,261 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.700000 ==> eval_score=26.330000
2020-12-25 05:42:42,261 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:42:42,291 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 368
2020-12-25 05:42:43,125 - Svd - INFO - Splitting module: features.30 with rank: 368
--------------------testing----------------------------
Computing :Loss: -4.473713854980469 Accuracy: 26.33%)
2020-12-25 05:42:52,279 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.800000 ==> eval_score=26.330000
2020-12-25 05:42:52,280 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:42:52,325 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 414
2020-12-25 05:42:53,397 - Svd - INFO - Splitting module: features.30 with rank: 414
--------------------testing----------------------------
Computing :Loss: -4.473843115234375 Accuracy: 26.32%)
2020-12-25 05:43:02,826 - CompRatioSelect - INFO - Layer features.30, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:43:02,827 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:43:02,862 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 46
2020-12-25 05:43:03,935 - Svd - INFO - Splitting module: features.34 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.490136694335938 Accuracy: 26.33%)
2020-12-25 05:43:10,977 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.100000 ==> eval_score=26.330000
2020-12-25 05:43:10,978 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:43:11,014 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 92
2020-12-25 05:43:11,835 - Svd - INFO - Splitting module: features.34 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.476874731445313 Accuracy: 26.32%)
2020-12-25 05:43:19,028 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.200000 ==> eval_score=26.320000
2020-12-25 05:43:19,028 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:43:19,056 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 138
2020-12-25 05:43:19,863 - Svd - INFO - Splitting module: features.34 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.4741997802734375 Accuracy: 26.32%)
2020-12-25 05:43:27,389 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.300000 ==> eval_score=26.320000
2020-12-25 05:43:27,389 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:43:27,421 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 184
2020-12-25 05:43:28,458 - Svd - INFO - Splitting module: features.34 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.473974401855469 Accuracy: 26.32%)
2020-12-25 05:43:36,239 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.400000 ==> eval_score=26.320000
2020-12-25 05:43:36,240 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:43:36,268 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 230
2020-12-25 05:43:37,339 - Svd - INFO - Splitting module: features.34 with rank: 230
--------------------testing----------------------------
Computing :Loss: -4.473656896972656 Accuracy: 26.32%)
2020-12-25 05:43:45,403 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.500000 ==> eval_score=26.320000
2020-12-25 05:43:45,404 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:43:45,438 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 276
2020-12-25 05:43:46,482 - Svd - INFO - Splitting module: features.34 with rank: 276
--------------------testing----------------------------
Computing :Loss: -4.473521435546875 Accuracy: 26.32%)
2020-12-25 05:43:54,708 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.600000 ==> eval_score=26.320000
2020-12-25 05:43:54,708 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:43:54,734 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 322
2020-12-25 05:43:55,729 - Svd - INFO - Splitting module: features.34 with rank: 322
--------------------testing----------------------------
Computing :Loss: -4.473678723144531 Accuracy: 26.32%)
2020-12-25 05:44:04,300 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.700000 ==> eval_score=26.320000
2020-12-25 05:44:04,300 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:44:04,326 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 368
2020-12-25 05:44:05,126 - Svd - INFO - Splitting module: features.34 with rank: 368
--------------------testing----------------------------
Computing :Loss: -4.473732238769531 Accuracy: 26.32%)
2020-12-25 05:44:14,359 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.800000 ==> eval_score=26.320000
2020-12-25 05:44:14,359 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:44:14,385 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 414
2020-12-25 05:44:15,416 - Svd - INFO - Splitting module: features.34 with rank: 414
--------------------testing----------------------------
Computing :Loss: -4.47368583984375 Accuracy: 26.32%)
2020-12-25 05:44:25,102 - CompRatioSelect - INFO - Layer features.34, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:44:25,102 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:44:25,132 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 46
2020-12-25 05:44:25,992 - Svd - INFO - Splitting module: features.37 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.481733203125 Accuracy: 26.33%)
2020-12-25 05:44:33,109 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.100000 ==> eval_score=26.330000
2020-12-25 05:44:33,110 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:44:33,143 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 92
2020-12-25 05:44:34,245 - Svd - INFO - Splitting module: features.37 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.473728393554688 Accuracy: 26.32%)
2020-12-25 05:44:41,548 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.200000 ==> eval_score=26.320000
2020-12-25 05:44:41,549 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:44:41,584 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 138
2020-12-25 05:44:42,391 - Svd - INFO - Splitting module: features.37 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.473260412597656 Accuracy: 26.32%)
2020-12-25 05:44:49,965 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.300000 ==> eval_score=26.320000
2020-12-25 05:44:49,965 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:44:49,995 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 184
2020-12-25 05:44:51,006 - Svd - INFO - Splitting module: features.37 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.473386682128906 Accuracy: 26.32%)
2020-12-25 05:44:59,138 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.400000 ==> eval_score=26.320000
2020-12-25 05:44:59,138 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:44:59,175 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 230
2020-12-25 05:44:59,979 - Svd - INFO - Splitting module: features.37 with rank: 230
--------------------testing----------------------------
Computing :Loss: -4.473482751464844 Accuracy: 26.32%)
2020-12-25 05:45:06,858 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.500000 ==> eval_score=26.320000
2020-12-25 05:45:06,859 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:45:06,887 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 276
2020-12-25 05:45:07,982 - Svd - INFO - Splitting module: features.37 with rank: 276
--------------------testing----------------------------
Computing :Loss: -4.473587341308594 Accuracy: 26.32%)
2020-12-25 05:45:15,208 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.600000 ==> eval_score=26.320000
2020-12-25 05:45:15,208 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:45:15,239 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 322
2020-12-25 05:45:16,064 - Svd - INFO - Splitting module: features.37 with rank: 322
--------------------testing----------------------------
Computing :Loss: -4.473701867675781 Accuracy: 26.32%)
2020-12-25 05:45:24,775 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.700000 ==> eval_score=26.320000
2020-12-25 05:45:24,775 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:45:24,801 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 368
2020-12-25 05:45:25,993 - Svd - INFO - Splitting module: features.37 with rank: 368
--------------------testing----------------------------
Computing :Loss: -4.473766760253906 Accuracy: 26.32%)
2020-12-25 05:45:34,000 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.800000 ==> eval_score=26.320000
2020-12-25 05:45:34,001 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:45:34,032 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 414
2020-12-25 05:45:34,877 - Svd - INFO - Splitting module: features.37 with rank: 414
--------------------testing----------------------------
Computing :Loss: -4.4737189453125 Accuracy: 26.32%)
2020-12-25 05:45:42,983 - CompRatioSelect - INFO - Layer features.37, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:45:42,984 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:45:43,016 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 46
2020-12-25 05:45:43,846 - Svd - INFO - Splitting module: features.40 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.454458215332031 Accuracy: 26.33%)
2020-12-25 05:45:50,913 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.100000 ==> eval_score=26.330000
2020-12-25 05:45:50,914 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:45:50,944 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 92
2020-12-25 05:45:52,106 - Svd - INFO - Splitting module: features.40 with rank: 92
--------------------testing----------------------------
Computing :Loss: -4.470969201660156 Accuracy: 26.32%)
2020-12-25 05:45:59,545 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.200000 ==> eval_score=26.320000
2020-12-25 05:45:59,546 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:45:59,583 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 138
2020-12-25 05:46:00,396 - Svd - INFO - Splitting module: features.40 with rank: 138
--------------------testing----------------------------
Computing :Loss: -4.473716467285156 Accuracy: 26.32%)
2020-12-25 05:46:07,937 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.300000 ==> eval_score=26.320000
2020-12-25 05:46:07,938 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:46:07,966 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 184
2020-12-25 05:46:09,030 - Svd - INFO - Splitting module: features.40 with rank: 184
--------------------testing----------------------------
Computing :Loss: -4.4737609375 Accuracy: 26.32%)
2020-12-25 05:46:16,906 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.400000 ==> eval_score=26.320000
2020-12-25 05:46:16,907 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:46:16,947 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 230
2020-12-25 05:46:18,018 - Svd - INFO - Splitting module: features.40 with rank: 230
--------------------testing----------------------------
Computing :Loss: -4.473631140136718 Accuracy: 26.32%)
2020-12-25 05:46:24,726 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.500000 ==> eval_score=26.320000
2020-12-25 05:46:24,726 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:46:24,756 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 276
2020-12-25 05:46:26,155 - Svd - INFO - Splitting module: features.40 with rank: 276
--------------------testing----------------------------
Computing :Loss: -4.473675354003906 Accuracy: 26.32%)
2020-12-25 05:46:33,354 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.600000 ==> eval_score=26.320000
2020-12-25 05:46:33,355 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:46:33,379 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 322
2020-12-25 05:46:34,469 - Svd - INFO - Splitting module: features.40 with rank: 322
--------------------testing----------------------------
Computing :Loss: -4.473669311523437 Accuracy: 26.32%)
2020-12-25 05:46:43,120 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.700000 ==> eval_score=26.320000
2020-12-25 05:46:43,121 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:46:43,158 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 368
2020-12-25 05:46:44,234 - Svd - INFO - Splitting module: features.40 with rank: 368
--------------------testing----------------------------
Computing :Loss: -4.4737191528320315 Accuracy: 26.32%)
2020-12-25 05:46:52,024 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.800000 ==> eval_score=26.320000
2020-12-25 05:46:52,025 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:46:52,057 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 414
2020-12-25 05:46:52,877 - Svd - INFO - Splitting module: features.40 with rank: 414
--------------------testing----------------------------
Computing :Loss: -4.473738049316406 Accuracy: 26.32%)
2020-12-25 05:47:01,186 - CompRatioSelect - INFO - Layer features.40, comp_ratio 0.900000 ==> eval_score=26.320000
2020-12-25 05:47:01,187 - CompRatioSelect - INFO - Analyzing compression ratio: 0.1 =====================>
2020-12-25 05:47:01,223 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 1
2020-12-25 05:47:01,226 - Svd - INFO - Splitting module: classifier with rank: 1
--------------------testing----------------------------
Computing :Loss: -0.789994970703125 Accuracy: 5.51%)
2020-12-25 05:47:08,063 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.100000 ==> eval_score=5.510000
2020-12-25 05:47:08,063 - CompRatioSelect - INFO - Analyzing compression ratio: 0.2 =====================>
2020-12-25 05:47:08,089 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 1
2020-12-25 05:47:08,091 - Svd - INFO - Splitting module: classifier with rank: 1
--------------------testing----------------------------
Computing :Loss: -0.789994970703125 Accuracy: 5.51%)
2020-12-25 05:47:14,982 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.200000 ==> eval_score=5.510000
2020-12-25 05:47:14,982 - CompRatioSelect - INFO - Analyzing compression ratio: 0.3 =====================>
2020-12-25 05:47:15,009 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 2
2020-12-25 05:47:15,012 - Svd - INFO - Splitting module: classifier with rank: 2
--------------------testing----------------------------
Computing :Loss: -1.3696521240234374 Accuracy: 12.76%)
2020-12-25 05:47:21,882 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.300000 ==> eval_score=12.760000
2020-12-25 05:47:21,882 - CompRatioSelect - INFO - Analyzing compression ratio: 0.4 =====================>
2020-12-25 05:47:21,910 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 3
2020-12-25 05:47:21,913 - Svd - INFO - Splitting module: classifier with rank: 3
--------------------testing----------------------------
Computing :Loss: -1.9364628662109376 Accuracy: 20.97%)
2020-12-25 05:47:28,848 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.400000 ==> eval_score=20.970000
2020-12-25 05:47:28,848 - CompRatioSelect - INFO - Analyzing compression ratio: 0.5 =====================>
2020-12-25 05:47:28,887 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 4
2020-12-25 05:47:28,890 - Svd - INFO - Splitting module: classifier with rank: 4
--------------------testing----------------------------
Computing :Loss: -2.4146045288085936 Accuracy: 23.51%)
2020-12-25 05:47:35,822 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.500000 ==> eval_score=23.510000
2020-12-25 05:47:35,822 - CompRatioSelect - INFO - Analyzing compression ratio: 0.6 =====================>
2020-12-25 05:47:35,859 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 5
2020-12-25 05:47:35,862 - Svd - INFO - Splitting module: classifier with rank: 5
--------------------testing----------------------------
Computing :Loss: -2.867455126953125 Accuracy: 25.41%)
2020-12-25 05:47:42,769 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.600000 ==> eval_score=25.410000
2020-12-25 05:47:42,769 - CompRatioSelect - INFO - Analyzing compression ratio: 0.7 =====================>
2020-12-25 05:47:42,805 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 6
2020-12-25 05:47:42,807 - Svd - INFO - Splitting module: classifier with rank: 6
--------------------testing----------------------------
Computing :Loss: -3.3183892456054687 Accuracy: 25.87%)
2020-12-25 05:47:49,610 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.700000 ==> eval_score=25.870000
2020-12-25 05:47:49,611 - CompRatioSelect - INFO - Analyzing compression ratio: 0.8 =====================>
2020-12-25 05:47:49,635 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 7
2020-12-25 05:47:49,638 - Svd - INFO - Splitting module: classifier with rank: 7
--------------------testing----------------------------
Computing :Loss: -3.7400334350585935 Accuracy: 26.18%)
2020-12-25 05:47:56,540 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.800000 ==> eval_score=26.180000
2020-12-25 05:47:56,540 - CompRatioSelect - INFO - Analyzing compression ratio: 0.9 =====================>
2020-12-25 05:47:56,580 - Svd - INFO - Weight SVD splitting layer: classifier using rank: 8
2020-12-25 05:47:56,583 - Svd - INFO - Splitting module: classifier with rank: 8
--------------------testing----------------------------
Computing :Loss: -4.136439086914063 Accuracy: 26.22%)
2020-12-25 05:48:03,368 - CompRatioSelect - INFO - Layer classifier, comp_ratio 0.900000 ==> eval_score=26.220000
2020-12-25 05:48:03,370 - CompRatioSelect - INFO - Greedy selection: Saved eval dict to ./data/greedy_selection_eval_scores_dict.pkl
2020-12-25 05:48:03,372 - CompRatioSelect - INFO - Greedy selection: overall_min_score=5.510000, overall_max_score=26.350000
2020-12-25 05:48:03,373 - CompRatioSelect - INFO - Greedy selection: Original model cost=(Cost: memory=14715584, mac=313201664)
2020-12-25 05:48:03,513 - CompRatioSelect - INFO - Greedy selection: final choice - comp_ratio=0.717414, score=26.319473
2020-12-25 05:48:03,533 - Svd - INFO - Weight SVD splitting layer: features.3 using rank: 51
2020-12-25 05:48:03,551 - Svd - INFO - Splitting module: features.3 with rank: 51
2020-12-25 05:48:03,576 - Svd - INFO - Weight SVD splitting layer: features.10 using rank: 92
2020-12-25 05:48:03,647 - Svd - INFO - Splitting module: features.10 with rank: 92
2020-12-25 05:48:03,745 - Svd - INFO - Weight SVD splitting layer: features.20 using rank: 161
2020-12-25 05:48:04,026 - Svd - INFO - Splitting module: features.20 with rank: 161
2020-12-25 05:48:04,405 - Svd - INFO - Weight SVD splitting layer: features.24 using rank: 218
2020-12-25 05:48:04,864 - Svd - INFO - Splitting module: features.24 with rank: 218
2020-12-25 05:48:05,689 - Svd - INFO - Weight SVD splitting layer: features.27 using rank: 184
2020-12-25 05:48:06,489 - Svd - INFO - Splitting module: features.27 with rank: 184
2020-12-25 05:48:07,431 - Svd - INFO - Weight SVD splitting layer: features.30 using rank: 276
2020-12-25 05:48:08,238 - Svd - INFO - Splitting module: features.30 with rank: 276
2020-12-25 05:48:09,639 - Svd - INFO - Weight SVD splitting layer: features.34 using rank: 46
2020-12-25 05:48:10,434 - Svd - INFO - Splitting module: features.34 with rank: 46
2020-12-25 05:48:10,776 - Svd - INFO - Weight SVD splitting layer: features.37 using rank: 46
2020-12-25 05:48:11,573 - Svd - INFO - Splitting module: features.37 with rank: 46
2020-12-25 05:48:11,922 - Svd - INFO - Weight SVD splitting layer: features.40 using rank: 46
2020-12-25 05:48:12,732 - Svd - INFO - Splitting module: features.40 with rank: 46
--------------------testing----------------------------
Computing :Loss: -4.47374072265625 Accuracy: 26.32%)
--------------------testing----------------------------
Computing :Loss: -4.460370703125 Accuracy: 26.34%)
VGG01(
(features): Sequential(
(0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU(inplace=True)
(3): Sequential(
(0): Conv2d(64, 51, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(51, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(5): ReLU(inplace=True)
(6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(7): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(8): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(9): ReLU(inplace=True)
(10): Sequential(
(0): Conv2d(128, 92, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(92, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(11): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(12): ReLU(inplace=True)
(13): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(14): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(15): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(16): ReLU(inplace=True)
(17): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(18): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(19): ReLU(inplace=True)
(20): Sequential(
(0): Conv2d(256, 161, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(161, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(21): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(22): ReLU(inplace=True)
(23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(24): Sequential(
(0): Conv2d(256, 218, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(218, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(25): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(26): ReLU(inplace=True)
(27): Sequential(
(0): Conv2d(512, 184, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(184, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(28): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(29): ReLU(inplace=True)
(30): Sequential(
(0): Conv2d(512, 276, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(276, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(31): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(32): ReLU(inplace=True)
(33): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(34): Sequential(
(0): Conv2d(512, 46, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(46, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(35): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(36): ReLU(inplace=True)
(37): Sequential(
(0): Conv2d(512, 46, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(46, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(38): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(39): ReLU(inplace=True)
(40): Sequential(
(0): Conv2d(512, 46, kernel_size=(1, 1), stride=(1, 1))
(1): Conv2d(46, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(41): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(42): ReLU(inplace=True)
(43): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(44): AvgPool2d(kernel_size=1, stride=1, padding=0)
)
(classifier): Linear(in_features=512, out_features=10, bias=True)
)
**********************************************************************************************
Compressed Model Statistics
Baseline model accuracy: 26.320000, Compressed model accuracy: 26.340000
Compression ratio for memory=0.383946, mac=0.717414
**********************************************************************************************
Per-layer Stats
Name:features.3, compression-ratio: 0.9
Name:features.7, compression-ratio: None
Name:features.10, compression-ratio: 0.8
Name:features.14, compression-ratio: None
Name:features.17, compression-ratio: None
Name:features.20, compression-ratio: 0.7
Name:features.24, compression-ratio: 0.9
Name:features.27, compression-ratio: 0.4
Name:features.30, compression-ratio: 0.6
Name:features.34, compression-ratio: 0.1
Name:features.37, compression-ratio: 0.1
Name:features.40, compression-ratio: 0.1
Name:classifier, compression-ratio: None
**********************************************************************************************
Greedy Eval Dict
Layer: features.3
Ratio=0.1, Eval score=19.2
Ratio=0.2, Eval score=25.51
Ratio=0.3, Eval score=26.14
Ratio=0.4, Eval score=26.33
Ratio=0.5, Eval score=26.3
Ratio=0.6, Eval score=26.3
Ratio=0.7, Eval score=26.28
Ratio=0.8, Eval score=26.3
Ratio=0.9, Eval score=26.32
Layer: features.7
Ratio=0.1, Eval score=21.61
Ratio=0.2, Eval score=25.4
Ratio=0.3, Eval score=26.07
Ratio=0.4, Eval score=26.32
Ratio=0.5, Eval score=26.33
Ratio=0.6, Eval score=26.3
Ratio=0.7, Eval score=26.31
Ratio=0.8, Eval score=26.29
Ratio=0.9, Eval score=26.31
Layer: features.10
Ratio=0.1, Eval score=23.65
Ratio=0.2, Eval score=25.79
Ratio=0.3, Eval score=26.23
Ratio=0.4, Eval score=26.27
Ratio=0.5, Eval score=26.28
Ratio=0.6, Eval score=26.33
Ratio=0.7, Eval score=26.3
Ratio=0.8, Eval score=26.32
Ratio=0.9, Eval score=26.32
Layer: features.14
Ratio=0.1, Eval score=21.63
Ratio=0.2, Eval score=25.68
Ratio=0.3, Eval score=26.04
Ratio=0.4, Eval score=26.17
Ratio=0.5, Eval score=26.33
Ratio=0.6, Eval score=26.35
Ratio=0.7, Eval score=26.29
Ratio=0.8, Eval score=26.32
Ratio=0.9, Eval score=26.31
Layer: features.17
Ratio=0.1, Eval score=24.85
Ratio=0.2, Eval score=25.9
Ratio=0.3, Eval score=26.18
Ratio=0.4, Eval score=26.3
Ratio=0.5, Eval score=26.29
Ratio=0.6, Eval score=26.31
Ratio=0.7, Eval score=26.33
Ratio=0.8, Eval score=26.34
Ratio=0.9, Eval score=26.28
Layer: features.20
Ratio=0.1, Eval score=24.13
Ratio=0.2, Eval score=25.63
Ratio=0.3, Eval score=26.0
Ratio=0.4, Eval score=26.25
Ratio=0.5, Eval score=26.33
Ratio=0.6, Eval score=26.28
Ratio=0.7, Eval score=26.33
Ratio=0.8, Eval score=26.34
Ratio=0.9, Eval score=26.35
Layer: features.24
Ratio=0.1, Eval score=25.54
Ratio=0.2, Eval score=26.06
Ratio=0.3, Eval score=26.28
Ratio=0.4, Eval score=26.33
Ratio=0.5, Eval score=26.34
Ratio=0.6, Eval score=26.34
Ratio=0.7, Eval score=26.33
Ratio=0.8, Eval score=26.3
Ratio=0.9, Eval score=26.33
Layer: features.27
Ratio=0.1, Eval score=26.22
Ratio=0.2, Eval score=26.24
Ratio=0.3, Eval score=26.28
Ratio=0.4, Eval score=26.33
Ratio=0.5, Eval score=26.35
Ratio=0.6, Eval score=26.33
Ratio=0.7, Eval score=26.33
Ratio=0.8, Eval score=26.34
Ratio=0.9, Eval score=26.32
Layer: features.30
Ratio=0.1, Eval score=26.3
Ratio=0.2, Eval score=26.3
Ratio=0.3, Eval score=26.31
Ratio=0.4, Eval score=26.3
Ratio=0.5, Eval score=26.31
Ratio=0.6, Eval score=26.32
Ratio=0.7, Eval score=26.33
Ratio=0.8, Eval score=26.33
Ratio=0.9, Eval score=26.32
Layer: features.34
Ratio=0.1, Eval score=26.33
Ratio=0.2, Eval score=26.32
Ratio=0.3, Eval score=26.32
Ratio=0.4, Eval score=26.32
Ratio=0.5, Eval score=26.32
Ratio=0.6, Eval score=26.32
Ratio=0.7, Eval score=26.32
Ratio=0.8, Eval score=26.32
Ratio=0.9, Eval score=26.32
Layer: features.37
Ratio=0.1, Eval score=26.33
Ratio=0.2, Eval score=26.32
Ratio=0.3, Eval score=26.32
Ratio=0.4, Eval score=26.32
Ratio=0.5, Eval score=26.32
Ratio=0.6, Eval score=26.32
Ratio=0.7, Eval score=26.32
Ratio=0.8, Eval score=26.32
Ratio=0.9, Eval score=26.32
Layer: features.40
Ratio=0.1, Eval score=26.33
Ratio=0.2, Eval score=26.32
Ratio=0.3, Eval score=26.32
Ratio=0.4, Eval score=26.32
Ratio=0.5, Eval score=26.32
Ratio=0.6, Eval score=26.32
Ratio=0.7, Eval score=26.32
Ratio=0.8, Eval score=26.32
Ratio=0.9, Eval score=26.32
Layer: classifier
Ratio=0.1, Eval score=5.51
Ratio=0.2, Eval score=5.51
Ratio=0.3, Eval score=12.76
Ratio=0.4, Eval score=20.97
Ratio=0.5, Eval score=23.51
Ratio=0.6, Eval score=25.41
Ratio=0.7, Eval score=25.87
Ratio=0.8, Eval score=26.18
Ratio=0.9, Eval score=26.22
**********************************************************************************************
Process finished with exit code 0