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

8% duplication:

29,614 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
2,442 duplicated lines

283 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 283 duplicates...

Size	#	Folders	Files	Lines	Code
26	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d_backward.cpp nll_loss_backward.cpp	9:37 (37%) 9:37 (37%)	view
24	x 2	torch_xla/csrc torch_xla/csrc	tensor_util.cpp tensor_util.cpp	100:123 (2%) 927:950 (2%)	view
20	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss.cpp nll_loss2d.cpp	9:31 (37%) 9:31 (37%)	view
18	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	convolution_backward_overrideable.h convolution_overrideable.h	19:46 (64%) 28:55 (51%)	view
17	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	avg_pool_nd.h avg_pool_nd_backward.h	16:44 (65%) 18:46 (60%)	view
15	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	max_pool_nd.h max_pool_nd_backward.h	16:40 (62%) 17:39 (60%)	view
14	x 2	torch_xla/csrc torch_xla/csrc	aten_autograd_ops.cpp aten_autograd_ops.cpp	51:65 (12%) 112:126 (12%)	view
14	x 2	torch_xla/csrc torch_xla/csrc	data_ops.cpp data_ops.cpp	353:369 (3%) 422:438 (3%)	view
13	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	convolution_overrideable.cpp convolution_overrideable.cpp	42:54 (14%) 62:74 (14%)	view
13	x 2	torch_xla/core torch_xla/core	xla_builder.py xla_builder.py	340:352 (2%) 375:387 (2%)	view
12	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	prod.h sum.h	16:34 (66%) 16:34 (66%)	view
12	x 2	torch_xla/core torch_xla/core	xla_builder.py xla_builder.py	356:367 (1%) 393:404 (1%)	view
12	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	mean.h sum.h	18:36 (66%) 16:34 (66%)	view
12	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d_backward.h nll_loss_backward.h	14:31 (66%) 14:31 (66%)	view
12	x 2	torch_xla/csrc torch_xla/csrc	nll_loss.cpp nll_loss.cpp	114:125 (9%) 158:169 (9%)	view
12	x 2	torch_xla/distributed torch_xla/distributed	worker.py worker.py	36:49 (13%) 55:68 (13%)	view
12	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	var.h var_mean.h	15:33 (66%) 15:33 (66%)	view
12	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	rrelu_with_noise.h rrelu_with_noise_backward.h	15:33 (66%) 15:33 (63%)	view
12	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	mean.h prod.h	18:36 (66%) 16:34 (66%)	view
11	x 2	torch_xla/core torch_xla/core	xla_builder.py xla_builder.py	322:332 (1%) 393:403 (1%)	view

Duplicated Units

The list of top 20 duplicated units.

See data for all 27 unit duplicates...

Size	#	Folders	Files	Lines	Code
24	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d_backward.cpp nll_loss_backward.cpp	14:38 14:38	view
18	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d.cpp nll_loss.cpp	14:32 14:32	view
13	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	1809:1822 2140:2153	view
13	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d_backward.cpp nll_loss_backward.cpp	72:85 72:85	view
12	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	640:652 674:686	view
11	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	1609:1620 2445:2456	view
10	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	1067:1077 1079:1089	view
10	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	1740:1750 1834:1844	view
10	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	2584:2594 2868:2878	view
10	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d_backward.cpp nll_loss_backward.cpp	60:70 60:70	view
9	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d.cpp nll_loss.cpp	60:69 60:69	view
8	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	654:662 664:672	view
8	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	convolution_overrideable.cpp convolution_backward_overrideable.cpp	104:112 80:88	view
8	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	avg_pool_nd_backward.cpp avg_pool_nd.cpp	84:92 80:88	view
7	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	695:702 710:717	view
7	x 2	torch_xla/csrc torch_xla/csrc	tensor_methods.cpp tensor_methods.cpp	1494:1501 1874:1881	view
7	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	cumsum.cpp cumprod.cpp	27:34 28:35	view
7	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	cumsum.cpp cumprod.cpp	56:63 57:64	view
7	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	softmax.cpp log_softmax.cpp	20:27 20:27	view
7	x 2	torch_xla/csrc/ops torch_xla/csrc/ops	nll_loss2d.cpp nll_loss.cpp	51:58 51:58	view