structured_sparsity.csv

,group_id,type,torch_module,weight_shape,pruned_weight_shape,bias_shape,pruned_bias_shape,head_or_channel_id_to_keep,module_node_name
0,0,MHSA,nncf_module.bert.encoder.layer.0.attention.self.query,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 3, 4, 6, 7, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
1,0,MHSA,nncf_module.bert.encoder.layer.0.attention.self.key,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 3, 4, 6, 7, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
2,0,MHSA,nncf_module.bert.encoder.layer.0.attention.self.value,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 3, 4, 6, 7, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
3,0,MHSA,nncf_module.bert.encoder.layer.0.attention.output.dense,"(768, 768)","(768, 512)","(768,)","(768,)","[0, 3, 4, 6, 7, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
4,1,FF,nncf_module.bert.encoder.layer.0.intermediate.dense,"(3072, 768)","(2089, 768)","(3072,)","(2089,)",[2089 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
5,1,FF,nncf_module.bert.encoder.layer.0.output.dense,"(768, 3072)","(768, 2089)","(768,)","(768,)",[2089 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertOutput[output]/NNCFLinear[dense]/linear_0
6,2,MHSA,nncf_module.bert.encoder.layer.1.attention.self.query,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 1, 4, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
7,2,MHSA,nncf_module.bert.encoder.layer.1.attention.self.key,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 1, 4, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
8,2,MHSA,nncf_module.bert.encoder.layer.1.attention.self.value,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 1, 4, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
9,2,MHSA,nncf_module.bert.encoder.layer.1.attention.output.dense,"(768, 768)","(768, 512)","(768,)","(768,)","[0, 1, 4, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
10,3,FF,nncf_module.bert.encoder.layer.1.intermediate.dense,"(3072, 768)","(2042, 768)","(3072,)","(2042,)",[2042 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
11,3,FF,nncf_module.bert.encoder.layer.1.output.dense,"(768, 3072)","(768, 2042)","(768,)","(768,)",[2042 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0
12,4,MHSA,nncf_module.bert.encoder.layer.2.attention.self.query,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 1, 2, 3, 5, 6, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
13,4,MHSA,nncf_module.bert.encoder.layer.2.attention.self.key,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 1, 2, 3, 5, 6, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
14,4,MHSA,nncf_module.bert.encoder.layer.2.attention.self.value,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 1, 2, 3, 5, 6, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
15,4,MHSA,nncf_module.bert.encoder.layer.2.attention.output.dense,"(768, 768)","(768, 576)","(768,)","(768,)","[0, 1, 2, 3, 5, 6, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
16,5,FF,nncf_module.bert.encoder.layer.2.intermediate.dense,"(3072, 768)","(2103, 768)","(3072,)","(2103,)",[2103 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
17,5,FF,nncf_module.bert.encoder.layer.2.output.dense,"(768, 3072)","(768, 2103)","(768,)","(768,)",[2103 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0
18,6,MHSA,nncf_module.bert.encoder.layer.3.attention.self.query,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 1, 3, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
19,6,MHSA,nncf_module.bert.encoder.layer.3.attention.self.key,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 1, 3, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
20,6,MHSA,nncf_module.bert.encoder.layer.3.attention.self.value,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 1, 3, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
21,6,MHSA,nncf_module.bert.encoder.layer.3.attention.output.dense,"(768, 768)","(768, 576)","(768,)","(768,)","[0, 1, 3, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
22,7,FF,nncf_module.bert.encoder.layer.3.intermediate.dense,"(3072, 768)","(2125, 768)","(3072,)","(2125,)",[2125 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
23,7,FF,nncf_module.bert.encoder.layer.3.output.dense,"(768, 3072)","(768, 2125)","(768,)","(768,)",[2125 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0
24,8,MHSA,nncf_module.bert.encoder.layer.4.attention.self.query,"(768, 768)","(704, 768)","(768,)","(704,)","[0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
25,8,MHSA,nncf_module.bert.encoder.layer.4.attention.self.key,"(768, 768)","(704, 768)","(768,)","(704,)","[0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
26,8,MHSA,nncf_module.bert.encoder.layer.4.attention.self.value,"(768, 768)","(704, 768)","(768,)","(704,)","[0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
27,8,MHSA,nncf_module.bert.encoder.layer.4.attention.output.dense,"(768, 768)","(768, 704)","(768,)","(768,)","[0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
28,9,FF,nncf_module.bert.encoder.layer.4.intermediate.dense,"(3072, 768)","(2049, 768)","(3072,)","(2049,)",[2049 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
29,9,FF,nncf_module.bert.encoder.layer.4.output.dense,"(768, 3072)","(768, 2049)","(768,)","(768,)",[2049 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0
30,10,MHSA,nncf_module.bert.encoder.layer.5.attention.self.query,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 3, 4, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
31,10,MHSA,nncf_module.bert.encoder.layer.5.attention.self.key,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 3, 4, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
32,10,MHSA,nncf_module.bert.encoder.layer.5.attention.self.value,"(768, 768)","(576, 768)","(768,)","(576,)","[0, 3, 4, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
33,10,MHSA,nncf_module.bert.encoder.layer.5.attention.output.dense,"(768, 768)","(768, 576)","(768,)","(768,)","[0, 3, 4, 5, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
34,11,FF,nncf_module.bert.encoder.layer.5.intermediate.dense,"(3072, 768)","(1998, 768)","(3072,)","(1998,)",[1998 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
35,11,FF,nncf_module.bert.encoder.layer.5.output.dense,"(768, 3072)","(768, 1998)","(768,)","(768,)",[1998 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0
36,12,MHSA,nncf_module.bert.encoder.layer.6.attention.self.query,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 1, 4, 5, 6, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
37,12,MHSA,nncf_module.bert.encoder.layer.6.attention.self.key,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 1, 4, 5, 6, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
38,12,MHSA,nncf_module.bert.encoder.layer.6.attention.self.value,"(768, 768)","(512, 768)","(768,)","(512,)","[0, 1, 4, 5, 6, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
39,12,MHSA,nncf_module.bert.encoder.layer.6.attention.output.dense,"(768, 768)","(768, 512)","(768,)","(768,)","[0, 1, 4, 5, 6, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
40,13,FF,nncf_module.bert.encoder.layer.6.intermediate.dense,"(3072, 768)","(1874, 768)","(3072,)","(1874,)",[1874 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
41,13,FF,nncf_module.bert.encoder.layer.6.output.dense,"(768, 3072)","(768, 1874)","(768,)","(768,)",[1874 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0
42,14,MHSA,nncf_module.bert.encoder.layer.7.attention.self.query,"(768, 768)","(448, 768)","(768,)","(448,)","[0, 2, 4, 5, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
43,14,MHSA,nncf_module.bert.encoder.layer.7.attention.self.key,"(768, 768)","(448, 768)","(768,)","(448,)","[0, 2, 4, 5, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
44,14,MHSA,nncf_module.bert.encoder.layer.7.attention.self.value,"(768, 768)","(448, 768)","(768,)","(448,)","[0, 2, 4, 5, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
45,14,MHSA,nncf_module.bert.encoder.layer.7.attention.output.dense,"(768, 768)","(768, 448)","(768,)","(768,)","[0, 2, 4, 5, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
46,15,FF,nncf_module.bert.encoder.layer.7.intermediate.dense,"(3072, 768)","(1806, 768)","(3072,)","(1806,)",[1806 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
47,15,FF,nncf_module.bert.encoder.layer.7.output.dense,"(768, 3072)","(768, 1806)","(768,)","(768,)",[1806 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0
48,16,MHSA,nncf_module.bert.encoder.layer.8.attention.self.query,"(768, 768)","(512, 768)","(768,)","(512,)","[1, 2, 5, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
49,16,MHSA,nncf_module.bert.encoder.layer.8.attention.self.key,"(768, 768)","(512, 768)","(768,)","(512,)","[1, 2, 5, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
50,16,MHSA,nncf_module.bert.encoder.layer.8.attention.self.value,"(768, 768)","(512, 768)","(768,)","(512,)","[1, 2, 5, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
51,16,MHSA,nncf_module.bert.encoder.layer.8.attention.output.dense,"(768, 768)","(768, 512)","(768,)","(768,)","[1, 2, 5, 6, 7, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
52,17,FF,nncf_module.bert.encoder.layer.8.intermediate.dense,"(3072, 768)","(1654, 768)","(3072,)","(1654,)",[1654 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
53,17,FF,nncf_module.bert.encoder.layer.8.output.dense,"(768, 3072)","(768, 1654)","(768,)","(768,)",[1654 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0
54,18,MHSA,nncf_module.bert.encoder.layer.9.attention.self.query,"(768, 768)","(384, 768)","(768,)","(384,)","[0, 2, 3, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
55,18,MHSA,nncf_module.bert.encoder.layer.9.attention.self.key,"(768, 768)","(384, 768)","(768,)","(384,)","[0, 2, 3, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
56,18,MHSA,nncf_module.bert.encoder.layer.9.attention.self.value,"(768, 768)","(384, 768)","(768,)","(384,)","[0, 2, 3, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
57,18,MHSA,nncf_module.bert.encoder.layer.9.attention.output.dense,"(768, 768)","(768, 384)","(768,)","(768,)","[0, 2, 3, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
58,19,FF,nncf_module.bert.encoder.layer.9.intermediate.dense,"(3072, 768)","(1311, 768)","(3072,)","(1311,)",[1311 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
59,19,FF,nncf_module.bert.encoder.layer.9.output.dense,"(768, 3072)","(768, 1311)","(768,)","(768,)",[1311 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0
60,20,MHSA,nncf_module.bert.encoder.layer.10.attention.self.query,"(768, 768)","(384, 768)","(768,)","(384,)","[0, 2, 3, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
61,20,MHSA,nncf_module.bert.encoder.layer.10.attention.self.key,"(768, 768)","(384, 768)","(768,)","(384,)","[0, 2, 3, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
62,20,MHSA,nncf_module.bert.encoder.layer.10.attention.self.value,"(768, 768)","(384, 768)","(768,)","(384,)","[0, 2, 3, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
63,20,MHSA,nncf_module.bert.encoder.layer.10.attention.output.dense,"(768, 768)","(768, 384)","(768,)","(768,)","[0, 2, 3, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
64,21,FF,nncf_module.bert.encoder.layer.10.intermediate.dense,"(3072, 768)","(1090, 768)","(3072,)","(1090,)",[1090 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
65,21,FF,nncf_module.bert.encoder.layer.10.output.dense,"(768, 3072)","(768, 1090)","(768,)","(768,)",[1090 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0
66,22,MHSA,nncf_module.bert.encoder.layer.11.attention.self.query,"(768, 768)","(320, 768)","(768,)","(320,)","[0, 1, 2, 3, 4]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
67,22,MHSA,nncf_module.bert.encoder.layer.11.attention.self.key,"(768, 768)","(320, 768)","(768,)","(320,)","[0, 1, 2, 3, 4]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
68,22,MHSA,nncf_module.bert.encoder.layer.11.attention.self.value,"(768, 768)","(320, 768)","(768,)","(320,)","[0, 1, 2, 3, 4]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
69,22,MHSA,nncf_module.bert.encoder.layer.11.attention.output.dense,"(768, 768)","(768, 320)","(768,)","(768,)","[0, 1, 2, 3, 4]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
70,23,FF,nncf_module.bert.encoder.layer.11.intermediate.dense,"(3072, 768)","(1027, 768)","(3072,)","(1027,)",[1027 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
71,23,FF,nncf_module.bert.encoder.layer.11.output.dense,"(768, 3072)","(768, 1027)","(768,)","(768,)",[1027 items],BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0