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bert-b-jpqd-r0.0095-45pc-sparse-quantized

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bert
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  1. 8bit_ref_bert_squad_nncf_mvmt.json +67 -0
  2. all_results.json +11 -0
  3. checkpoint-106000/config.json +25 -0
  4. checkpoint-106000/nncf-mvmt-p3.json +1 -0
  5. checkpoint-106000/pytorch_model.bin +3 -0
  6. checkpoint-106000/rng_state.pth +3 -0
  7. checkpoint-106000/scheduler.pt +3 -0
  8. checkpoint-106000/special_tokens_map.json +1 -0
  9. checkpoint-106000/tokenizer.json +0 -0
  10. checkpoint-106000/tokenizer_config.json +1 -0
  11. checkpoint-106000/training_args.bin +3 -0
  12. checkpoint-106000/vocab.txt +0 -0
  13. compressed_graph.dot +0 -0
  14. config.json +25 -0
  15. eval_predictions.json +0 -0
  16. eval_results.json +6 -0
  17. ir/sparsity_structures.csv +73 -0
  18. ir/sparsity_structures.md +74 -0
  19. ir/sparsity_structures.pkl +3 -0
  20. ir/squad-BertForQuestionAnswering.crop_cfg.sd.8bit.pkl +3 -0
  21. ir/squad-BertForQuestionAnswering.cropped.8bit.bin +3 -0
  22. ir/squad-BertForQuestionAnswering.cropped.8bit.mapping +0 -0
  23. ir/squad-BertForQuestionAnswering.cropped.8bit.onnx +3 -0
  24. ir/squad-BertForQuestionAnswering.cropped.8bit.xml +0 -0
  25. original_graph.dot +0 -0
  26. special_tokens_map.json +1 -0
  27. tokenizer.json +0 -0
  28. tokenizer_config.json +1 -0
  29. train_results.json +8 -0
  30. training_args.bin +3 -0
  31. vocab.txt +0 -0
8bit_ref_bert_squad_nncf_mvmt.json ADDED
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+ {
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+ "input_info": [
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+ "type": "long"
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+ {
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+ }
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+ "compression":
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+ "algorithm": "movement_sparsity",
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+ },
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+ {
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+ "algorithm": "quantization",
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+ "initializer": {
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+ "num_init_samples": 32,
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+ "type": "percentile",
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+ "params":
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+ "min_percentile": 0.01,
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+ "max_percentile": 99.99
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+ "batchnorm_adaptation": {
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+ "num_bn_adaptation_samples": 200
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+ }
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+ "activations":
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+ "mode": "symmetric"
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+ "weights":
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+ "mode": "symmetric",
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+ "signed": true,
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+ "per_channel": false
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+ }
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+ }
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+ ]
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+ "train_samples_per_second": 7.31,
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checkpoint-106000/config.json ADDED
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checkpoint-106000/nncf-mvmt-p3.json ADDED
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checkpoint-106000/tokenizer_config.json ADDED
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config.json ADDED
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eval_results.json ADDED
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ir/sparsity_structures.csv ADDED
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+ 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
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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.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.6.attention.self.value,12,"(768, 768)","(384, 768)","(768,)","(384,)",group of 64 rows,See pkl,"[0, 1, 7, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
39
+ nncf_module.bert.encoder.layer.6.attention.self.query,12,"(768, 768)","(384, 768)","(768,)","(384,)",group of 64 rows,See pkl,"[0, 1, 7, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
40
+ nncf_module.bert.encoder.layer.6.attention.self.key,12,"(768, 768)","(384, 768)","(768,)","(384,)",group of 64 rows,See pkl,"[0, 1, 7, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
41
+ nncf_module.bert.encoder.layer.6.attention.output.dense,12,"(768, 768)","(768, 384)","(768,)","(768,)",group of 64 cols,See pkl,"[0, 1, 7, 8, 9, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
42
+ nncf_module.bert.encoder.layer.6.intermediate.dense,13,"(3072, 768)","(1610, 768)","(3072,)","(1610,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
43
+ nncf_module.bert.encoder.layer.6.output.dense,13,"(768, 3072)","(768, 1610)","(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
+ 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
46
+ 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
47
+ 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
48
+ nncf_module.bert.encoder.layer.7.intermediate.dense,15,"(3072, 768)","(1262, 768)","(3072,)","(1262,)",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, 1262)","(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.self.value,16,"(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[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
51
+ nncf_module.bert.encoder.layer.8.attention.self.query,16,"(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[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0
52
+ nncf_module.bert.encoder.layer.8.attention.self.key,16,"(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[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
53
+ nncf_module.bert.encoder.layer.8.attention.output.dense,16,"(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[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
54
+ nncf_module.bert.encoder.layer.8.output.dense,17,"(768, 3072)","(768, 794)","(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)","(794, 768)","(3072,)","(794,)",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.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
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.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
60
+ nncf_module.bert.encoder.layer.9.intermediate.dense,19,"(3072, 768)","(305, 768)","(3072,)","(305,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
61
+ nncf_module.bert.encoder.layer.9.output.dense,19,"(768, 3072)","(768, 305)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0
62
+ nncf_module.bert.encoder.layer.10.attention.self.value,20,"(768, 768)","(256, 768)","(768,)","(256,)",group of 64 rows,See pkl,"[3, 7, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
63
+ nncf_module.bert.encoder.layer.10.attention.self.query,20,"(768, 768)","(256, 768)","(768,)","(256,)",group of 64 rows,See pkl,"[3, 7, 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, 256)","(768,)","(768,)",group of 64 cols,See pkl,"[3, 7, 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.key,20,"(768, 768)","(256, 768)","(768,)","(256,)",group of 64 rows,See pkl,"[3, 7, 10, 11]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
66
+ nncf_module.bert.encoder.layer.10.intermediate.dense,21,"(3072, 768)","(305, 768)","(3072,)","(305,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
67
+ nncf_module.bert.encoder.layer.10.output.dense,21,"(768, 3072)","(768, 305)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0
68
+ nncf_module.bert.encoder.layer.11.attention.self.query,22,"(768, 768)","(320, 768)","(768,)","(320,)",group of 64 rows,See pkl,"[1, 2, 3, 4, 8]",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.output.dense,22,"(768, 768)","(768, 320)","(768,)","(768,)",group of 64 cols,See pkl,"[1, 2, 3, 4, 8]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0
70
+ nncf_module.bert.encoder.layer.11.attention.self.value,22,"(768, 768)","(320, 768)","(768,)","(320,)",group of 64 rows,See pkl,"[1, 2, 3, 4, 8]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0
71
+ nncf_module.bert.encoder.layer.11.attention.self.key,22,"(768, 768)","(320, 768)","(768,)","(320,)",group of 64 rows,See pkl,"[1, 2, 3, 4, 8]",BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0
72
+ nncf_module.bert.encoder.layer.11.intermediate.dense,23,"(3072, 768)","(364, 768)","(3072,)","(364,)",row,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0
73
+ nncf_module.bert.encoder.layer.11.output.dense,23,"(768, 3072)","(768, 364)","(768,)","(768,)",col,See pkl,,BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0
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.query | 0 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [3, 7, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
4
+ | 1 | nncf_module.bert.encoder.layer.0.attention.self.key | 0 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [3, 7, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
5
+ | 2 | nncf_module.bert.encoder.layer.0.attention.output.dense | 0 | (768, 768) | (768, 256) | (768,) | (768,) | group of 64 cols | See pkl | [3, 7, 8, 10] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
6
+ | 3 | nncf_module.bert.encoder.layer.0.attention.self.value | 0 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [3, 7, 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.intermediate.dense | 1 | (3072, 768) | (2199, 768) | (3072,) | (2199,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
8
+ | 5 | nncf_module.bert.encoder.layer.0.output.dense | 1 | (768, 3072) | (768, 2199) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
9
+ | 6 | nncf_module.bert.encoder.layer.1.attention.output.dense | 2 | (768, 768) | (768, 320) | (768,) | (768,) | group of 64 cols | See pkl | [1, 4, 7, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
10
+ | 7 | nncf_module.bert.encoder.layer.1.attention.self.key | 2 | (768, 768) | (320, 768) | (768,) | (320,) | group of 64 rows | See pkl | [1, 4, 7, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
11
+ | 8 | nncf_module.bert.encoder.layer.1.attention.self.query | 2 | (768, 768) | (320, 768) | (768,) | (320,) | group of 64 rows | See pkl | [1, 4, 7, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
12
+ | 9 | nncf_module.bert.encoder.layer.1.attention.self.value | 2 | (768, 768) | (320, 768) | (768,) | (320,) | group of 64 rows | See pkl | [1, 4, 7, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
13
+ | 10 | nncf_module.bert.encoder.layer.1.intermediate.dense | 3 | (3072, 768) | (2102, 768) | (3072,) | (2102,) | 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, 2102) | (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.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 |
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.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 |
18
+ | 15 | 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 |
19
+ | 16 | nncf_module.bert.encoder.layer.2.output.dense | 5 | (768, 3072) | (768, 2304) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
20
+ | 17 | nncf_module.bert.encoder.layer.2.intermediate.dense | 5 | (3072, 768) | (2304, 768) | (3072,) | (2304,) | row | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0 |
21
+ | 18 | nncf_module.bert.encoder.layer.3.attention.self.value | 6 | (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[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
22
+ | 19 | nncf_module.bert.encoder.layer.3.attention.self.query | 6 | (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[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
23
+ | 20 | nncf_module.bert.encoder.layer.3.attention.output.dense | 6 | (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[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
24
+ | 21 | nncf_module.bert.encoder.layer.3.attention.self.key | 6 | (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[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
25
+ | 22 | nncf_module.bert.encoder.layer.3.intermediate.dense | 7 | (3072, 768) | (2243, 768) | (3072,) | (2243,) | 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, 2243) | (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.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 |
28
+ | 25 | 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 |
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.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 |
31
+ | 28 | nncf_module.bert.encoder.layer.4.intermediate.dense | 9 | (3072, 768) | (2042, 768) | (3072,) | (2042,) | 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, 2042) | (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.key | 10 | (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[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
34
+ | 31 | nncf_module.bert.encoder.layer.5.attention.self.query | 10 | (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[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
35
+ | 32 | nncf_module.bert.encoder.layer.5.attention.self.value | 10 | (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[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
36
+ | 33 | nncf_module.bert.encoder.layer.5.attention.output.dense | 10 | (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[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
37
+ | 34 | nncf_module.bert.encoder.layer.5.intermediate.dense | 11 | (3072, 768) | (2007, 768) | (3072,) | (2007,) | 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, 2007) | (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) | (384, 768) | (768,) | (384,) | group of 64 rows | See pkl | [0, 1, 7, 8, 9, 11] | 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) | (384, 768) | (768,) | (384,) | group of 64 rows | See pkl | [0, 1, 7, 8, 9, 11] | 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) | (384, 768) | (768,) | (384,) | group of 64 rows | See pkl | [0, 1, 7, 8, 9, 11] | 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, 384) | (768,) | (768,) | group of 64 cols | See pkl | [0, 1, 7, 8, 9, 11] | 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) | (1610, 768) | (3072,) | (1610,) | 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, 1610) | (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.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 |
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.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 |
49
+ | 46 | nncf_module.bert.encoder.layer.7.intermediate.dense | 15 | (3072, 768) | (1262, 768) | (3072,) | (1262,) | 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, 1262) | (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.self.value | 16 | (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[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
52
+ | 49 | nncf_module.bert.encoder.layer.8.attention.self.query | 16 | (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[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0 |
53
+ | 50 | nncf_module.bert.encoder.layer.8.attention.self.key | 16 | (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[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0 |
54
+ | 51 | nncf_module.bert.encoder.layer.8.attention.output.dense | 16 | (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[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0 |
55
+ | 52 | nncf_module.bert.encoder.layer.8.output.dense | 17 | (768, 3072) | (768, 794) | (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) | (794, 768) | (3072,) | (794,) | 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 |
58
+ | 55 | 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 |
59
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60
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61
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62
+ | 59 | nncf_module.bert.encoder.layer.9.output.dense | 19 | (768, 3072) | (768, 305) | (768,) | (768,) | col | See pkl | | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0 |
63
+ | 60 | nncf_module.bert.encoder.layer.10.attention.self.value | 20 | (768, 768) | (256, 768) | (768,) | (256,) | group of 64 rows | See pkl | [3, 7, 10, 11] | BertForQuestionAnswering/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0 |
64
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65
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66
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67
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68
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69
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70
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72
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