bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-lt / XP_linear_layer_sparsity_20M_params_57.92_sparsity.csv
Chua, Vui Seng
Add collaterals
41d4286
,layer_id,layer_type,param_type,shape,nparam,nnz,sparsity
5,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,weight,"[320, 768]",245760,93583,0.6192097663879395
7,nncf_module.bert.encoder.layer.0.attention.self.key,NNCFLinear,weight,"[320, 768]",245760,98270,0.6001383066177368
9,nncf_module.bert.encoder.layer.0.attention.self.value,NNCFLinear,weight,"[320, 768]",245760,113605,0.5377400517463684
11,nncf_module.bert.encoder.layer.0.attention.output.dense,NNCFLinear,weight,"[768, 320]",245760,117208,0.5230793952941895
15,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,weight,"[185, 768]",142080,97073,0.3167722225189209
17,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,weight,"[768, 185]",142080,94692,0.33353036642074585
21,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,weight,"[320, 768]",245760,118436,0.5180826187133789
23,nncf_module.bert.encoder.layer.1.attention.self.key,NNCFLinear,weight,"[320, 768]",245760,118116,0.5193847417831421
25,nncf_module.bert.encoder.layer.1.attention.self.value,NNCFLinear,weight,"[320, 768]",245760,107511,0.5625365972518921
27,nncf_module.bert.encoder.layer.1.attention.output.dense,NNCFLinear,weight,"[768, 320]",245760,111189,0.5475707650184631
31,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,weight,"[315, 768]",241920,148783,0.3849908709526062
33,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,weight,"[768, 315]",241920,143166,0.40820932388305664
37,nncf_module.bert.encoder.layer.2.attention.self.query,NNCFLinear,weight,"[576, 768]",442368,162735,0.6321275234222412
39,nncf_module.bert.encoder.layer.2.attention.self.key,NNCFLinear,weight,"[576, 768]",442368,164795,0.6274707913398743
41,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,weight,"[576, 768]",442368,135670,0.6933096647262573
43,nncf_module.bert.encoder.layer.2.attention.output.dense,NNCFLinear,weight,"[768, 576]",442368,138445,0.6870365738868713
47,nncf_module.bert.encoder.layer.2.intermediate.dense,NNCFLinear,weight,"[339, 768]",260352,154035,0.408358633518219
49,nncf_module.bert.encoder.layer.2.output.dense,NNCFLinear,weight,"[768, 339]",260352,150816,0.4207226634025574
53,nncf_module.bert.encoder.layer.3.attention.self.query,NNCFLinear,weight,"[576, 768]",442368,170623,0.6142961978912354
55,nncf_module.bert.encoder.layer.3.attention.self.key,NNCFLinear,weight,"[576, 768]",442368,178401,0.5967136025428772
57,nncf_module.bert.encoder.layer.3.attention.self.value,NNCFLinear,weight,"[576, 768]",442368,171905,0.6113982200622559
59,nncf_module.bert.encoder.layer.3.attention.output.dense,NNCFLinear,weight,"[768, 576]",442368,169172,0.6175763010978699
63,nncf_module.bert.encoder.layer.3.intermediate.dense,NNCFLinear,weight,"[368, 768]",282624,163163,0.42268526554107666
65,nncf_module.bert.encoder.layer.3.output.dense,NNCFLinear,weight,"[768, 368]",282624,157506,0.44270122051239014
69,nncf_module.bert.encoder.layer.4.attention.self.query,NNCFLinear,weight,"[576, 768]",442368,175772,0.6026566028594971
71,nncf_module.bert.encoder.layer.4.attention.self.key,NNCFLinear,weight,"[576, 768]",442368,177087,0.5996840000152588
73,nncf_module.bert.encoder.layer.4.attention.self.value,NNCFLinear,weight,"[576, 768]",442368,163996,0.6292769908905029
75,nncf_module.bert.encoder.layer.4.attention.output.dense,NNCFLinear,weight,"[768, 576]",442368,159335,0.6398134231567383
79,nncf_module.bert.encoder.layer.4.intermediate.dense,NNCFLinear,weight,"[386, 768]",296448,167726,0.43421441316604614
81,nncf_module.bert.encoder.layer.4.output.dense,NNCFLinear,weight,"[768, 386]",296448,159865,0.46073174476623535
85,nncf_module.bert.encoder.layer.5.attention.self.query,NNCFLinear,weight,"[384, 768]",294912,114186,0.6128133535385132
87,nncf_module.bert.encoder.layer.5.attention.self.key,NNCFLinear,weight,"[384, 768]",294912,132782,0.5497572422027588
89,nncf_module.bert.encoder.layer.5.attention.self.value,NNCFLinear,weight,"[384, 768]",294912,134830,0.5428127646446228
91,nncf_module.bert.encoder.layer.5.attention.output.dense,NNCFLinear,weight,"[768, 384]",294912,131941,0.5526089072227478
95,nncf_module.bert.encoder.layer.5.intermediate.dense,NNCFLinear,weight,"[336, 768]",258048,153916,0.4035372734069824
97,nncf_module.bert.encoder.layer.5.output.dense,NNCFLinear,weight,"[768, 336]",258048,145794,0.4350120425224304
101,nncf_module.bert.encoder.layer.6.attention.self.query,NNCFLinear,weight,"[448, 768]",344064,131878,0.616705060005188
103,nncf_module.bert.encoder.layer.6.attention.self.key,NNCFLinear,weight,"[448, 768]",344064,144502,0.580014169216156
105,nncf_module.bert.encoder.layer.6.attention.self.value,NNCFLinear,weight,"[448, 768]",344064,130911,0.6195155382156372
107,nncf_module.bert.encoder.layer.6.attention.output.dense,NNCFLinear,weight,"[768, 448]",344064,125928,0.6339982748031616
111,nncf_module.bert.encoder.layer.6.intermediate.dense,NNCFLinear,weight,"[280, 768]",215040,135283,0.37089377641677856
113,nncf_module.bert.encoder.layer.6.output.dense,NNCFLinear,weight,"[768, 280]",215040,131619,0.3879324793815613
117,nncf_module.bert.encoder.layer.7.attention.self.query,NNCFLinear,weight,"[448, 768]",344064,132120,0.6160016655921936
119,nncf_module.bert.encoder.layer.7.attention.self.key,NNCFLinear,weight,"[448, 768]",344064,152223,0.5575735569000244
121,nncf_module.bert.encoder.layer.7.attention.self.value,NNCFLinear,weight,"[448, 768]",344064,141066,0.5900006890296936
123,nncf_module.bert.encoder.layer.7.attention.output.dense,NNCFLinear,weight,"[768, 448]",344064,135662,0.605707049369812
127,nncf_module.bert.encoder.layer.7.intermediate.dense,NNCFLinear,weight,"[211, 768]",162048,109590,0.3237189054489136
129,nncf_module.bert.encoder.layer.7.output.dense,NNCFLinear,weight,"[768, 211]",162048,107335,0.33763450384140015
133,nncf_module.bert.encoder.layer.8.attention.self.query,NNCFLinear,weight,"[448, 768]",344064,129148,0.624639630317688
135,nncf_module.bert.encoder.layer.8.attention.self.key,NNCFLinear,weight,"[448, 768]",344064,130060,0.6219888925552368
137,nncf_module.bert.encoder.layer.8.attention.self.value,NNCFLinear,weight,"[448, 768]",344064,108162,0.6856340765953064
139,nncf_module.bert.encoder.layer.8.attention.output.dense,NNCFLinear,weight,"[768, 448]",344064,103447,0.699337899684906
143,nncf_module.bert.encoder.layer.8.intermediate.dense,NNCFLinear,weight,"[108, 768]",82944,63275,0.2371358871459961
145,nncf_module.bert.encoder.layer.8.output.dense,NNCFLinear,weight,"[768, 108]",82944,62725,0.24376684427261353
149,nncf_module.bert.encoder.layer.9.attention.self.query,NNCFLinear,weight,"[320, 768]",245760,107145,0.56402587890625
151,nncf_module.bert.encoder.layer.9.attention.self.key,NNCFLinear,weight,"[320, 768]",245760,101811,0.5857299566268921
153,nncf_module.bert.encoder.layer.9.attention.self.value,NNCFLinear,weight,"[320, 768]",245760,52182,0.7876708507537842
155,nncf_module.bert.encoder.layer.9.attention.output.dense,NNCFLinear,weight,"[768, 320]",245760,53210,0.7834879159927368
159,nncf_module.bert.encoder.layer.9.intermediate.dense,NNCFLinear,weight,"[53, 768]",40704,33461,0.17794322967529297
161,nncf_module.bert.encoder.layer.9.output.dense,NNCFLinear,weight,"[768, 53]",40704,32551,0.20029973983764648
165,nncf_module.bert.encoder.layer.10.attention.self.query,NNCFLinear,weight,"[384, 768]",294912,112430,0.6187676191329956
167,nncf_module.bert.encoder.layer.10.attention.self.key,NNCFLinear,weight,"[384, 768]",294912,109594,0.6283840537071228
169,nncf_module.bert.encoder.layer.10.attention.self.value,NNCFLinear,weight,"[384, 768]",294912,61774,0.7905341386795044
171,nncf_module.bert.encoder.layer.10.attention.output.dense,NNCFLinear,weight,"[768, 384]",294912,64183,0.7823655605316162
175,nncf_module.bert.encoder.layer.10.intermediate.dense,NNCFLinear,weight,"[86, 768]",66048,50455,0.2360858917236328
177,nncf_module.bert.encoder.layer.10.output.dense,NNCFLinear,weight,"[768, 86]",66048,49741,0.24689620733261108
181,nncf_module.bert.encoder.layer.11.attention.self.query,NNCFLinear,weight,"[384, 768]",294912,88129,0.7011684775352478
183,nncf_module.bert.encoder.layer.11.attention.self.key,NNCFLinear,weight,"[384, 768]",294912,85288,0.7108018398284912
185,nncf_module.bert.encoder.layer.11.attention.self.value,NNCFLinear,weight,"[384, 768]",294912,47258,0.8397555947303772
187,nncf_module.bert.encoder.layer.11.attention.output.dense,NNCFLinear,weight,"[768, 384]",294912,49311,0.832794189453125
191,nncf_module.bert.encoder.layer.11.intermediate.dense,NNCFLinear,weight,"[105, 768]",80640,62254,0.22800099849700928
193,nncf_module.bert.encoder.layer.11.output.dense,NNCFLinear,weight,"[768, 105]",80640,61669,0.2352554202079773