bert-base-squadv1-block-pruning-hybrid-filled-lt-qat-lt / XP_linear_layer_sparsity_20M_params_0.00_sparsity.csv
Chua, Vui Seng
Add collaterals
4b756e7
,layer_id,layer_type,param_type,shape,nparam,nnz,sparsity
5,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
7,nncf_module.bert.encoder.layer.0.attention.self.key,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
9,nncf_module.bert.encoder.layer.0.attention.self.value,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
11,nncf_module.bert.encoder.layer.0.attention.output.dense,NNCFLinear,weight,"[768, 320]",245760,245760,0.0
15,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,weight,"[185, 768]",142080,142080,0.0
17,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,weight,"[768, 185]",142080,142080,0.0
21,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
23,nncf_module.bert.encoder.layer.1.attention.self.key,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
25,nncf_module.bert.encoder.layer.1.attention.self.value,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
27,nncf_module.bert.encoder.layer.1.attention.output.dense,NNCFLinear,weight,"[768, 320]",245760,245760,0.0
31,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,weight,"[315, 768]",241920,241920,0.0
33,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,weight,"[768, 315]",241920,241920,0.0
37,nncf_module.bert.encoder.layer.2.attention.self.query,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
39,nncf_module.bert.encoder.layer.2.attention.self.key,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
41,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
43,nncf_module.bert.encoder.layer.2.attention.output.dense,NNCFLinear,weight,"[768, 576]",442368,442368,0.0
47,nncf_module.bert.encoder.layer.2.intermediate.dense,NNCFLinear,weight,"[339, 768]",260352,260352,0.0
49,nncf_module.bert.encoder.layer.2.output.dense,NNCFLinear,weight,"[768, 339]",260352,260352,0.0
53,nncf_module.bert.encoder.layer.3.attention.self.query,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
55,nncf_module.bert.encoder.layer.3.attention.self.key,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
57,nncf_module.bert.encoder.layer.3.attention.self.value,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
59,nncf_module.bert.encoder.layer.3.attention.output.dense,NNCFLinear,weight,"[768, 576]",442368,442368,0.0
63,nncf_module.bert.encoder.layer.3.intermediate.dense,NNCFLinear,weight,"[368, 768]",282624,282624,0.0
65,nncf_module.bert.encoder.layer.3.output.dense,NNCFLinear,weight,"[768, 368]",282624,282624,0.0
69,nncf_module.bert.encoder.layer.4.attention.self.query,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
71,nncf_module.bert.encoder.layer.4.attention.self.key,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
73,nncf_module.bert.encoder.layer.4.attention.self.value,NNCFLinear,weight,"[576, 768]",442368,442368,0.0
75,nncf_module.bert.encoder.layer.4.attention.output.dense,NNCFLinear,weight,"[768, 576]",442368,442368,0.0
79,nncf_module.bert.encoder.layer.4.intermediate.dense,NNCFLinear,weight,"[386, 768]",296448,296448,0.0
81,nncf_module.bert.encoder.layer.4.output.dense,NNCFLinear,weight,"[768, 386]",296448,296448,0.0
85,nncf_module.bert.encoder.layer.5.attention.self.query,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
87,nncf_module.bert.encoder.layer.5.attention.self.key,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
89,nncf_module.bert.encoder.layer.5.attention.self.value,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
91,nncf_module.bert.encoder.layer.5.attention.output.dense,NNCFLinear,weight,"[768, 384]",294912,294912,0.0
95,nncf_module.bert.encoder.layer.5.intermediate.dense,NNCFLinear,weight,"[336, 768]",258048,258048,0.0
97,nncf_module.bert.encoder.layer.5.output.dense,NNCFLinear,weight,"[768, 336]",258048,258048,0.0
101,nncf_module.bert.encoder.layer.6.attention.self.query,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
103,nncf_module.bert.encoder.layer.6.attention.self.key,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
105,nncf_module.bert.encoder.layer.6.attention.self.value,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
107,nncf_module.bert.encoder.layer.6.attention.output.dense,NNCFLinear,weight,"[768, 448]",344064,344064,0.0
111,nncf_module.bert.encoder.layer.6.intermediate.dense,NNCFLinear,weight,"[280, 768]",215040,215040,0.0
113,nncf_module.bert.encoder.layer.6.output.dense,NNCFLinear,weight,"[768, 280]",215040,215040,0.0
117,nncf_module.bert.encoder.layer.7.attention.self.query,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
119,nncf_module.bert.encoder.layer.7.attention.self.key,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
121,nncf_module.bert.encoder.layer.7.attention.self.value,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
123,nncf_module.bert.encoder.layer.7.attention.output.dense,NNCFLinear,weight,"[768, 448]",344064,344064,0.0
127,nncf_module.bert.encoder.layer.7.intermediate.dense,NNCFLinear,weight,"[211, 768]",162048,162048,0.0
129,nncf_module.bert.encoder.layer.7.output.dense,NNCFLinear,weight,"[768, 211]",162048,162048,0.0
133,nncf_module.bert.encoder.layer.8.attention.self.query,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
135,nncf_module.bert.encoder.layer.8.attention.self.key,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
137,nncf_module.bert.encoder.layer.8.attention.self.value,NNCFLinear,weight,"[448, 768]",344064,344064,0.0
139,nncf_module.bert.encoder.layer.8.attention.output.dense,NNCFLinear,weight,"[768, 448]",344064,344064,0.0
143,nncf_module.bert.encoder.layer.8.intermediate.dense,NNCFLinear,weight,"[108, 768]",82944,82944,0.0
145,nncf_module.bert.encoder.layer.8.output.dense,NNCFLinear,weight,"[768, 108]",82944,82944,0.0
149,nncf_module.bert.encoder.layer.9.attention.self.query,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
151,nncf_module.bert.encoder.layer.9.attention.self.key,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
153,nncf_module.bert.encoder.layer.9.attention.self.value,NNCFLinear,weight,"[320, 768]",245760,245760,0.0
155,nncf_module.bert.encoder.layer.9.attention.output.dense,NNCFLinear,weight,"[768, 320]",245760,245760,0.0
159,nncf_module.bert.encoder.layer.9.intermediate.dense,NNCFLinear,weight,"[53, 768]",40704,40704,5.960464477539063e-08
161,nncf_module.bert.encoder.layer.9.output.dense,NNCFLinear,weight,"[768, 53]",40704,40704,5.960464477539063e-08
165,nncf_module.bert.encoder.layer.10.attention.self.query,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
167,nncf_module.bert.encoder.layer.10.attention.self.key,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
169,nncf_module.bert.encoder.layer.10.attention.self.value,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
171,nncf_module.bert.encoder.layer.10.attention.output.dense,NNCFLinear,weight,"[768, 384]",294912,294912,0.0
175,nncf_module.bert.encoder.layer.10.intermediate.dense,NNCFLinear,weight,"[86, 768]",66048,66048,0.0
177,nncf_module.bert.encoder.layer.10.output.dense,NNCFLinear,weight,"[768, 86]",66048,66048,0.0
181,nncf_module.bert.encoder.layer.11.attention.self.query,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
183,nncf_module.bert.encoder.layer.11.attention.self.key,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
185,nncf_module.bert.encoder.layer.11.attention.self.value,NNCFLinear,weight,"[384, 768]",294912,294912,0.0
187,nncf_module.bert.encoder.layer.11.attention.output.dense,NNCFLinear,weight,"[768, 384]",294912,294912,0.0
191,nncf_module.bert.encoder.layer.11.intermediate.dense,NNCFLinear,weight,"[105, 768]",80640,80640,0.0
193,nncf_module.bert.encoder.layer.11.output.dense,NNCFLinear,weight,"[768, 105]",80640,80640,0.0