pytorch / tensorpipe
Duplication

Places in code with 6 or more lines that are exactly the same.

Intro
  • For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
  • Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
  • You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.
Learn more...
Duplication Overall
  • 18% duplication:
    • 17,001 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 3,213 duplicated lines
  • 311 duplicates
system18% (3,213 lines)
Duplication per Extension
cc24% (2,138 lines)
h13% (1,059 lines)
in76% (16 lines)
Duplication per Component (primary)
tensorpipe/channel32% (1,737 lines)
tensorpipe/transport26% (917 lines)
tensorpipe/benchmark30% (310 lines)
tensorpipe/common3% (146 lines)
tensorpipe/python17% (55 lines)
tensorpipe/core1% (32 lines)
tensorpipe69% (16 lines)
cmake0% (0 lines)
tensorpipe/misc0% (0 lines)
ROOT0% (0 lines)

Duplication Between Components (50+ lines)

G tensorpipe/channel tensorpipe/channel tensorpipe/transport tensorpipe/transport tensorpipe/channel--tensorpipe/transport 156

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 311 duplicates...
Size#FoldersFilesLinesCode
94 x 2 tensorpipe/channel/cma
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 111:231 (47%)
108:228 (48%)
 view
72 x 2 tensorpipe/transport/ibv
tensorpipe/transport/shm
cc
listener_impl.cc
listener_impl.cc
 52:152 (75%)
46:146 (80%)
 view
60 x 2 tensorpipe/transport/ibv
tensorpipe/transport/shm
cc
connection_impl.cc
connection_impl.cc
 158:265 (18%)
102:209 (28%)
 view
47 x 2 tensorpipe/channel/cma
tensorpipe/channel/xth
channel_impl.h
channel_impl.h
 58:117 (67%)
57:116 (68%)
 view
42 x 2 tensorpipe/channel/cuda_xth
tensorpipe/channel/xth
channel_impl.h
channel_impl.h
 84:138 (47%)
58:112 (60%)
 view
42 x 2 tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
channel_impl.h
channel_impl.h
 59:113 (60%)
84:138 (47%)
 view
34 x 2 tensorpipe/channel/cuda_xth
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 159:201 (14%)
108:150 (17%)
 view
34 x 2 tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
 111:153 (17%)
159:201 (14%)
 view
31 x 2 tensorpipe/channel/basic
tensorpipe/channel/cma
cc
channel_impl.cc
channel_impl.cc
 95:139 (25%)
137:181 (15%)
 view
31 x 2 tensorpipe/channel/basic
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 95:139 (25%)
134:178 (16%)
 view
30 x 2 tensorpipe/channel/cma
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 246:286 (15%)
241:281 (15%)
 view
29 x 2 tensorpipe/channel/mpt
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 230:270 (11%)
138:178 (15%)
 view
29 x 2 tensorpipe/channel/cma
tensorpipe/channel/mpt
cc
channel_impl.cc
channel_impl.cc
 141:181 (14%)
230:270 (11%)
 view
29 x 2 tensorpipe/channel/basic
tensorpipe/channel/mpt
cc
channel_impl.cc
channel_impl.cc
 99:139 (23%)
230:270 (11%)
 view
28 x 2 tensorpipe/channel/cma
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 66:106 (14%)
65:105 (14%)
 view
28 x 2 tensorpipe/channel/cuda_xth
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 111:151 (12%)
65:105 (14%)
 view
28 x 2 tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
 66:106 (14%)
111:151 (12%)
 view
27 x 2 tensorpipe/channel/basic
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 36:72 (21%)
50:87 (13%)
 view
27 x 2 tensorpipe/channel/cuda_xth
tensorpipe/channel/xth
cc
channel_impl.cc
channel_impl.cc
 211:248 (11%)
157:192 (13%)
 view
27 x 2 tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
 160:195 (13%)
211:248 (11%)
 view
Duplicated Units
The list of top 20 duplicated units.
See data for all 20 unit duplicates...
Size#FoldersFilesLinesCode
42 x 2 tensorpipe/channel/xth
tensorpipe/channel/cma
cc
channel_impl.cc
channel_impl.cc
 160:214 
163:217 
 view
41 x 2 tensorpipe/transport/shm
tensorpipe/transport/ibv
cc
listener_impl.cc
listener_impl.cc
 103:147 
109:153 
 view
32 x 2 tensorpipe/transport/shm
tensorpipe/transport/ibv
cc
connection_impl.cc
connection_impl.cc
 160:206 
216:262 
 view
23 x 3 tensorpipe/channel/xth
tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
 68:99 
69:100 
114:145 
 view
22 x 2 tensorpipe/benchmark
tensorpipe/benchmark
cc
benchmark_transport.cc
benchmark_pipe.cc
 30:52 
109:131 
 view
16 x 3 tensorpipe/channel/xth
tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
 119:136 
122:139 
170:187 
 view
11 x 3 tensorpipe/channel/xth
tensorpipe/channel/mpt
tensorpipe/channel/basic
cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
 54:66 
157:169 
40:52 
 view
11 x 4 tensorpipe/channel/xth
tensorpipe/channel/mpt
tensorpipe/channel/basic
tensorpipe/channel/cma
cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
 146:158 
238:250 
107:119 
149:161 
 view
11 x 3 tensorpipe/channel/xth
tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
 260:272 
265:277 
303:315 
 view
10 x 2 tensorpipe/transport/shm
tensorpipe/transport/ibv
cc
listener_impl.cc
listener_impl.cc
 75:86 
81:92 
 view
10 x 2 tensorpipe/transport/shm
tensorpipe/transport/ibv
cc
connection_impl.cc
connection_impl.cc
 113:126 
169:182 
 view
7 x 2 tensorpipe/python
tensorpipe/python
cc
tensorpipe.cc
tensorpipe.cc
 141:148 
160:167 
 view
6 x 2 tensorpipe/transport/shm
tensorpipe/transport/ibv
cc
connection_impl.cc
connection_impl.cc
 128:137 
184:193 
 view
6 x 2 tensorpipe/transport/shm
tensorpipe/transport/ibv
cc
connection_impl.cc
connection_impl.cc
 139:148 
195:204 
 view
6 x 8 tensorpipe/transport
tensorpipe/transport
tensorpipe/transport
tensorpipe/core
tensorpipe/core
tensorpipe/core
tensorpipe/channel
tensorpipe/channel
connection_impl_boilerplate.h
context_impl_boilerplate.h
listener_impl_boilerplate.h
listener_impl.cc
pipe_impl.cc
context_impl.cc
channel_impl_boilerplate.h
context_impl_boilerplate.h
 439:448 
222:231 
251:260 
194:203 
621:630 
225:234 
269:278 
210:219 
 view
6 x 2 tensorpipe/transport
tensorpipe/core
context_impl_boilerplate.h
context_impl.cc
 165:171 
173:179 
 view
6 x 3 tensorpipe/channel/xth
tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
channel_impl.cc
channel_impl.cc
channel_impl.cc
 274:282 
279:287 
317:325 
 view
6 x 5 tensorpipe/channel/xth
tensorpipe/channel/cuda_ipc
tensorpipe/channel/cuda_gdr
tensorpipe/channel/cma
tensorpipe/channel/cuda_xth
cc
context_impl.cc
context_impl.cc
context_impl.cc
context_impl.cc
context_impl.cc
 55:61 
293:299 
668:674 
311:317 
82:88 
 view
6 x 2 tensorpipe/channel/cuda_ipc
tensorpipe/channel/cuda_basic
cc
channel_impl.cc
channel_impl.cc
 309:317 
318:326 
 view
6 x 2 tensorpipe/channel/cuda_ipc
tensorpipe/channel/cuda_basic
cc
channel_impl.cc
channel_impl.cc
 469:477 
594:602 
 view