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  1. .gitattributes +1 -0
  2. README.md +7 -0
  3. r0.030-squad-bert-b-mvmt-8bit/all_results.json +5 -0
  4. r0.030-squad-bert-b-mvmt-8bit/compressed_graph.dot +0 -0
  5. r0.030-squad-bert-b-mvmt-8bit/eval_nbest_predictions.json +3 -0
  6. r0.030-squad-bert-b-mvmt-8bit/eval_predictions.json +0 -0
  7. r0.030-squad-bert-b-mvmt-8bit/eval_results.json +5 -0
  8. r0.030-squad-bert-b-mvmt-8bit/ir/sparsity_structures.csv +73 -0
  9. r0.030-squad-bert-b-mvmt-8bit/ir/sparsity_structures.md +74 -0
  10. r0.030-squad-bert-b-mvmt-8bit/ir/sparsity_structures.pkl +0 -0
  11. r0.030-squad-bert-b-mvmt-8bit/ir/squad-BertForQuestionAnswering.cropped.8bit.bin +3 -0
  12. r0.030-squad-bert-b-mvmt-8bit/ir/squad-BertForQuestionAnswering.cropped.8bit.mapping +0 -0
  13. r0.030-squad-bert-b-mvmt-8bit/ir/squad-BertForQuestionAnswering.cropped.8bit.onnx +3 -0
  14. r0.030-squad-bert-b-mvmt-8bit/ir/squad-BertForQuestionAnswering.cropped.8bit.xml +0 -0
  15. r0.030-squad-bert-b-mvmt-8bit/nncf-mvmt-p3.json +67 -0
  16. r0.030-squad-bert-b-mvmt-8bit/original_graph.dot +0 -0
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README.md ADDED
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+ ### BERT-base compressed by JPQD with Regularization Factor 0.03
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+ ```
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+ F1: 87.66
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+ EM: 80.23
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+
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+ ```
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r0.030-squad-bert-b-mvmt-8bit/all_results.json ADDED
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r0.030-squad-bert-b-mvmt-8bit/eval_results.json ADDED
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r0.030-squad-bert-b-mvmt-8bit/ir/sparsity_structures.csv ADDED
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3
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4
+ nncf_module.bert.encoder.layer.0.attention.self.query,0,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[3, 8, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
5
+ nncf_module.bert.encoder.layer.0.attention.self.value,0,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[3, 8, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
6
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7
+ nncf_module.bert.encoder.layer.0.intermediate.dense,1,"(3072, 768)","(612, 768)","(3072,)","(612,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
8
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9
+ nncf_module.bert.encoder.layer.1.attention.self.query,2,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[4, 7, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
10
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11
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+ nncf_module.bert.encoder.layer.2.attention.self.key,4,"(768, 768)","(768, 768)","(768,)","(768,)",group of 64 rows,See pkl,"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
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+ nncf_module.bert.encoder.layer.2.attention.output.dense,4,"(768, 768)","(768, 768)","(768,)","(768,)",group of 64 cols,See pkl,"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
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+ nncf_module.bert.encoder.layer.2.output.dense,5,"(768, 3072)","(768, 742)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0
20
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+ nncf_module.bert.encoder.layer.3.attention.output.dense,6,"(768, 768)","(768, 384)","(768,)","(768,)",group of 64 cols,See pkl,"[0, 1, 5, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
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+ nncf_module.bert.encoder.layer.3.attention.self.query,6,"(768, 768)","(384, 768)","(768,)","(384,)",group of 64 rows,See pkl,"[0, 1, 5, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
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24
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32
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33
+ nncf_module.bert.encoder.layer.5.attention.output.dense,10,"(768, 768)","(768, 256)","(768,)","(768,)",group of 64 cols,See pkl,"[4, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
34
+ nncf_module.bert.encoder.layer.5.attention.self.value,10,"(768, 768)","(256, 768)","(768,)","(256,)",group of 64 rows,See pkl,"[4, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
35
+ nncf_module.bert.encoder.layer.5.attention.self.key,10,"(768, 768)","(256, 768)","(768,)","(256,)",group of 64 rows,See pkl,"[4, 8, 9, 10]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
36
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37
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38
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39
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40
+ nncf_module.bert.encoder.layer.6.attention.self.key,12,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[4, 8, 9]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
41
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42
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43
+ nncf_module.bert.encoder.layer.6.output.dense,13,"(768, 3072)","(768, 463)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0
44
+ nncf_module.bert.encoder.layer.7.attention.output.dense,14,"(768, 768)","(768, 768)","(768,)","(768,)",group of 64 cols,See pkl,"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
45
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46
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47
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48
+ nncf_module.bert.encoder.layer.7.intermediate.dense,15,"(3072, 768)","(358, 768)","(3072,)","(358,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
49
+ nncf_module.bert.encoder.layer.7.output.dense,15,"(768, 3072)","(768, 358)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0
50
+ nncf_module.bert.encoder.layer.8.attention.output.dense,16,"(768, 768)","(768, 192)","(768,)","(768,)",group of 64 cols,See pkl,"[9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
51
+ nncf_module.bert.encoder.layer.8.attention.self.query,16,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
52
+ nncf_module.bert.encoder.layer.8.attention.self.key,16,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
53
+ nncf_module.bert.encoder.layer.8.attention.self.value,16,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[9, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
54
+ nncf_module.bert.encoder.layer.8.output.dense,17,"(768, 3072)","(768, 217)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0
55
+ nncf_module.bert.encoder.layer.8.intermediate.dense,17,"(3072, 768)","(217, 768)","(3072,)","(217,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
56
+ nncf_module.bert.encoder.layer.9.attention.self.query,18,"(768, 768)","(320, 768)","(768,)","(320,)",group of 64 rows,See pkl,"[0, 2, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
57
+ nncf_module.bert.encoder.layer.9.attention.output.dense,18,"(768, 768)","(768, 320)","(768,)","(768,)",group of 64 cols,See pkl,"[0, 2, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
58
+ nncf_module.bert.encoder.layer.9.attention.self.value,18,"(768, 768)","(320, 768)","(768,)","(320,)",group of 64 rows,See pkl,"[0, 2, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
59
+ nncf_module.bert.encoder.layer.9.attention.self.key,18,"(768, 768)","(320, 768)","(768,)","(320,)",group of 64 rows,See pkl,"[0, 2, 6, 8, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
60
+ nncf_module.bert.encoder.layer.9.output.dense,19,"(768, 3072)","(768, 102)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0
61
+ nncf_module.bert.encoder.layer.9.intermediate.dense,19,"(3072, 768)","(102, 768)","(3072,)","(102,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
62
+ nncf_module.bert.encoder.layer.10.attention.self.key,20,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[3, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
63
+ nncf_module.bert.encoder.layer.10.attention.self.query,20,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[3, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
64
+ nncf_module.bert.encoder.layer.10.attention.output.dense,20,"(768, 768)","(768, 192)","(768,)","(768,)",group of 64 cols,See pkl,"[3, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
65
+ nncf_module.bert.encoder.layer.10.attention.self.value,20,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[3, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
66
+ nncf_module.bert.encoder.layer.10.output.dense,21,"(768, 3072)","(768, 110)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0
67
+ nncf_module.bert.encoder.layer.10.intermediate.dense,21,"(3072, 768)","(110, 768)","(3072,)","(110,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
68
+ nncf_module.bert.encoder.layer.11.attention.self.query,22,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[1, 2, 3]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
69
+ nncf_module.bert.encoder.layer.11.attention.self.key,22,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[1, 2, 3]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
70
+ nncf_module.bert.encoder.layer.11.attention.output.dense,22,"(768, 768)","(768, 192)","(768,)","(768,)",group of 64 cols,See pkl,"[1, 2, 3]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
71
+ nncf_module.bert.encoder.layer.11.attention.self.value,22,"(768, 768)","(192, 768)","(768,)","(192,)",group of 64 rows,See pkl,"[1, 2, 3]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
72
+ nncf_module.bert.encoder.layer.11.output.dense,23,"(768, 3072)","(768, 123)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0
73
+ nncf_module.bert.encoder.layer.11.intermediate.dense,23,"(3072, 768)","(123, 768)","(3072,)","(123,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
r0.030-squad-bert-b-mvmt-8bit/ir/sparsity_structures.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ | | pt_module_name | block_id | orig_w_shape | final_w_shape | orig_b_shape | final_b_shape | prune_by | id_to_keep | head_id_to_keep | nncf_graph_node |
2
+ |---:|:---------------------------------------------------------|-----------:|:---------------|:----------------|:---------------|:----------------|:-----------------|:-------------|:---------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
3
+ | 0 | nncf_module.bert.encoder.layer.0.attention.self.key | 0 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [3, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
4
+ | 1 | nncf_module.bert.encoder.layer.0.attention.output.dense | 0 | (768, 768) | (768, 192) | (768,) | (768,) | group of 64 cols | See pkl | [3, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
5
+ | 2 | nncf_module.bert.encoder.layer.0.attention.self.query | 0 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [3, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
6
+ | 3 | nncf_module.bert.encoder.layer.0.attention.self.value | 0 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [3, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
7
+ | 4 | nncf_module.bert.encoder.layer.0.output.dense | 1 | (768, 3072) | (768, 612) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
8
+ | 5 | nncf_module.bert.encoder.layer.0.intermediate.dense | 1 | (3072, 768) | (612, 768) | (3072,) | (612,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
9
+ | 6 | nncf_module.bert.encoder.layer.1.attention.self.value | 2 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [4, 7, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
10
+ | 7 | nncf_module.bert.encoder.layer.1.attention.self.query | 2 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [4, 7, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
11
+ | 8 | nncf_module.bert.encoder.layer.1.attention.self.key | 2 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [4, 7, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
12
+ | 9 | nncf_module.bert.encoder.layer.1.attention.output.dense | 2 | (768, 768) | (768, 192) | (768,) | (768,) | group of 64 cols | See pkl | [4, 7, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
13
+ | 10 | nncf_module.bert.encoder.layer.1.intermediate.dense | 3 | (3072, 768) | (614, 768) | (3072,) | (614,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
14
+ | 11 | nncf_module.bert.encoder.layer.1.output.dense | 3 | (768, 3072) | (768, 614) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
15
+ | 12 | nncf_module.bert.encoder.layer.2.attention.self.key | 4 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
16
+ | 13 | nncf_module.bert.encoder.layer.2.attention.output.dense | 4 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 cols | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
17
+ | 14 | nncf_module.bert.encoder.layer.2.attention.self.value | 4 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
18
+ | 15 | nncf_module.bert.encoder.layer.2.attention.self.query | 4 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
19
+ | 16 | nncf_module.bert.encoder.layer.2.intermediate.dense | 5 | (3072, 768) | (742, 768) | (3072,) | (742,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
20
+ | 17 | nncf_module.bert.encoder.layer.2.output.dense | 5 | (768, 3072) | (768, 742) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
21
+ | 18 | nncf_module.bert.encoder.layer.3.attention.self.value | 6 | (768, 768) | (384, 768) | (768,) | (384,) | group of 64 rows | See pkl | [0, 1, 5, 8, 9, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
22
+ | 19 | nncf_module.bert.encoder.layer.3.attention.output.dense | 6 | (768, 768) | (768, 384) | (768,) | (768,) | group of 64 cols | See pkl | [0, 1, 5, 8, 9, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
23
+ | 20 | nncf_module.bert.encoder.layer.3.attention.self.query | 6 | (768, 768) | (384, 768) | (768,) | (384,) | group of 64 rows | See pkl | [0, 1, 5, 8, 9, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
24
+ | 21 | nncf_module.bert.encoder.layer.3.attention.self.key | 6 | (768, 768) | (384, 768) | (768,) | (384,) | group of 64 rows | See pkl | [0, 1, 5, 8, 9, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
25
+ | 22 | nncf_module.bert.encoder.layer.3.intermediate.dense | 7 | (3072, 768) | (733, 768) | (3072,) | (733,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
26
+ | 23 | nncf_module.bert.encoder.layer.3.output.dense | 7 | (768, 3072) | (768, 733) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
27
+ | 24 | nncf_module.bert.encoder.layer.4.attention.self.value | 8 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 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 |
28
+ | 25 | nncf_module.bert.encoder.layer.4.attention.self.query | 8 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 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 |
29
+ | 26 | nncf_module.bert.encoder.layer.4.attention.self.key | 8 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 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 |
30
+ | 27 | nncf_module.bert.encoder.layer.4.attention.output.dense | 8 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 cols | See pkl | [0, 1, 2, 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 |
31
+ | 28 | nncf_module.bert.encoder.layer.4.intermediate.dense | 9 | (3072, 768) | (660, 768) | (3072,) | (660,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
32
+ | 29 | nncf_module.bert.encoder.layer.4.output.dense | 9 | (768, 3072) | (768, 660) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
33
+ | 30 | nncf_module.bert.encoder.layer.5.attention.self.query | 10 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [4, 8, 9, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
34
+ | 31 | nncf_module.bert.encoder.layer.5.attention.output.dense | 10 | (768, 768) | (768, 256) | (768,) | (768,) | group of 64 cols | See pkl | [4, 8, 9, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
35
+ | 32 | nncf_module.bert.encoder.layer.5.attention.self.value | 10 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [4, 8, 9, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
36
+ | 33 | nncf_module.bert.encoder.layer.5.attention.self.key | 10 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [4, 8, 9, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
37
+ | 34 | nncf_module.bert.encoder.layer.5.intermediate.dense | 11 | (3072, 768) | (623, 768) | (3072,) | (623,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
38
+ | 35 | nncf_module.bert.encoder.layer.5.output.dense | 11 | (768, 3072) | (768, 623) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
39
+ | 36 | nncf_module.bert.encoder.layer.6.attention.self.value | 12 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [4, 8, 9] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
40
+ | 37 | nncf_module.bert.encoder.layer.6.attention.self.query | 12 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [4, 8, 9] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
41
+ | 38 | nncf_module.bert.encoder.layer.6.attention.self.key | 12 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [4, 8, 9] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
42
+ | 39 | nncf_module.bert.encoder.layer.6.attention.output.dense | 12 | (768, 768) | (768, 192) | (768,) | (768,) | group of 64 cols | See pkl | [4, 8, 9] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
43
+ | 40 | nncf_module.bert.encoder.layer.6.intermediate.dense | 13 | (3072, 768) | (463, 768) | (3072,) | (463,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
44
+ | 41 | nncf_module.bert.encoder.layer.6.output.dense | 13 | (768, 3072) | (768, 463) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
45
+ | 42 | nncf_module.bert.encoder.layer.7.attention.output.dense | 14 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 cols | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
46
+ | 43 | nncf_module.bert.encoder.layer.7.attention.self.key | 14 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
47
+ | 44 | nncf_module.bert.encoder.layer.7.attention.self.value | 14 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
48
+ | 45 | nncf_module.bert.encoder.layer.7.attention.self.query | 14 | (768, 768) | (768, 768) | (768,) | (768,) | group of 64 rows | See pkl | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
49
+ | 46 | nncf_module.bert.encoder.layer.7.intermediate.dense | 15 | (3072, 768) | (358, 768) | (3072,) | (358,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
50
+ | 47 | nncf_module.bert.encoder.layer.7.output.dense | 15 | (768, 3072) | (768, 358) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
51
+ | 48 | nncf_module.bert.encoder.layer.8.attention.output.dense | 16 | (768, 768) | (768, 192) | (768,) | (768,) | group of 64 cols | See pkl | [9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
52
+ | 49 | nncf_module.bert.encoder.layer.8.attention.self.query | 16 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
53
+ | 50 | nncf_module.bert.encoder.layer.8.attention.self.key | 16 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
54
+ | 51 | nncf_module.bert.encoder.layer.8.attention.self.value | 16 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [9, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
55
+ | 52 | nncf_module.bert.encoder.layer.8.output.dense | 17 | (768, 3072) | (768, 217) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
56
+ | 53 | nncf_module.bert.encoder.layer.8.intermediate.dense | 17 | (3072, 768) | (217, 768) | (3072,) | (217,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
57
+ | 54 | nncf_module.bert.encoder.layer.9.attention.self.query | 18 | (768, 768) | (320, 768) | (768,) | (320,) | group of 64 rows | See pkl | [0, 2, 6, 8, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
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+ | 59 | nncf_module.bert.encoder.layer.9.intermediate.dense | 19 | (3072, 768) | (102, 768) | (3072,) | (102,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
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+ | 60 | nncf_module.bert.encoder.layer.10.attention.self.key | 20 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [3, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
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+ | 61 | nncf_module.bert.encoder.layer.10.attention.self.query | 20 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [3, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
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+ | 62 | nncf_module.bert.encoder.layer.10.attention.output.dense | 20 | (768, 768) | (768, 192) | (768,) | (768,) | group of 64 cols | See pkl | [3, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
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+ | 63 | nncf_module.bert.encoder.layer.10.attention.self.value | 20 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [3, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
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+ | 64 | nncf_module.bert.encoder.layer.10.output.dense | 21 | (768, 3072) | (768, 110) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
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+ | 65 | nncf_module.bert.encoder.layer.10.intermediate.dense | 21 | (3072, 768) | (110, 768) | (3072,) | (110,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
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+ | 66 | nncf_module.bert.encoder.layer.11.attention.self.query | 22 | (768, 768) | (192, 768) | (768,) | (192,) | group of 64 rows | See pkl | [1, 2, 3] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
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+ | 68 | nncf_module.bert.encoder.layer.11.attention.output.dense | 22 | (768, 768) | (768, 192) | (768,) | (768,) | group of 64 cols | See pkl | [1, 2, 3] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
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