facebookresearch / SparseConvNet
File Size

The distribution of size of files (measured in lines of code).

Intro
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
File Size Overall
  • There are 94 files with 13,242 lines of code.
    • 0 very long files (0 lines of code)
    • 6 long files (4,008 lines of code)
    • 13 medium size files (3,513 lines of codeclsfd_ftr_w_mp_ins)
    • 19 small files (2,577 lines of code)
    • 56 very small files (3,144 lines of code)
0% | 30% | 26% | 19% | 23%
Legend:
1001+
501-1000
201-500
101-200
1-100


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File Size per Extension
1001+
501-1000
201-500
101-200
1-100
cpp0% | 41% | 27% | 7% | 22%
cu0% | 46% | 24% | 10% | 18%
h0% | 28% | 33% | 19% | 17%
py0% | 0% | 18% | 45% | 36%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
sparseconvnet/SCN0% | 70% | 23% | 6% | 0%
sparseconvnet/SCN/CUDA0% | 33% | 32% | 3% | 29%
sparseconvnet/SCN/Metadata/sparsehash/internal0% | 73% | 19% | 0% | 7%
sparseconvnet/SCN/Metadata0% | 30% | 28% | 21% | 19%
sparseconvnet/SCN/CPU0% | 0% | 40% | 26% | 33%
sparseconvnet0% | 0% | 18% | 45% | 35%
sparseconvnet/SCN/Metadata/sparsehash0% | 0% | 0% | 79% | 20%
ROOT0% | 0% | 0% | 0% | 100%
sparseconvnet/SCN/misc0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
densehashtable.h
in sparseconvnet/SCN/Metadata/sparsehash/internal
 852 86
sparseconvnet_cuda.cpp
in sparseconvnet/SCN
 798 44
cu
Convolution.cu
in sparseconvnet/SCN/CUDA
 615 -
Metadata.cpp
in sparseconvnet/SCN/Metadata
 605 19
cu
Deconvolution.cu
in sparseconvnet/SCN/CUDA
 570 -
sparseconvnet_cpu.cpp
in sparseconvnet/SCN
 568 46
cu
AffineReluTrivialConvolution.cu
in sparseconvnet/SCN/CUDA
 404 -
Convolution.cpp
in sparseconvnet/SCN/CPU
 366 12
Convolution.cpp
in sparseconvnet/SCN/CUDA
 314 10
PermutohedralSubmanifoldConvolutionRules.h
in sparseconvnet/SCN/Metadata
 310 4
networkArchitectures.py
in sparseconvnet
 295 5
utils.py
in sparseconvnet
 267 29
IOLayersRules.h
in sparseconvnet/SCN/Metadata
 250 2
sparseconvnet.h
in sparseconvnet/SCN
 228 -
hashtable-common.h
in sparseconvnet/SCN/Metadata/sparsehash/internal
 224 38
pybind.cpp
in sparseconvnet/SCN
 223 1
cu
BatchNormalization.cu
in sparseconvnet/SCN/CUDA
 218 -
IOLayers.cpp
in sparseconvnet/SCN/CPU
 209 10
IOLayers.cpp
in sparseconvnet/SCN/CUDA
 205 8
ioLayers.py
in sparseconvnet
 198 22
type_traits.h
in sparseconvnet/SCN/Metadata/sparsehash
 177 -
batchNormalization.py
in sparseconvnet
 172 14
classificationTrainValidate.py
in sparseconvnet
 170 2
RandomizedStrideRules.h
in sparseconvnet/SCN/Metadata
 156 4
BatchNormalization.cpp
in sparseconvnet/SCN/CPU
 142 4
deconvolution.py
in sparseconvnet
 141 7
fullConvolution.py
in sparseconvnet
 139 7
ConvolutionRules.h
in sparseconvnet/SCN/Metadata
 134 5
cu
AveragePooling.cu
in sparseconvnet/SCN/CUDA
 127 -
cu
cuda.cu
in sparseconvnet/SCN
 127 -
Metadata.h
in sparseconvnet/SCN/Metadata
 126 -
MaxPooling.cpp
in sparseconvnet/SCN/CPU
 121 6
randomizedStrideConvolution.py
in sparseconvnet
 115 6
convolution.py
in sparseconvnet
 114 6
AveragePooling.cpp
in sparseconvnet/SCN/CPU
 107 6
shapeContext.py
in sparseconvnet
 106 7
randomizedStrideMaxPooling.py
in sparseconvnet
 103 6
maxPooling.py
in sparseconvnet
 102 6
averagePooling.py
in sparseconvnet
 100 6
submanifoldConvolution.py
in sparseconvnet
 98 6
permutohedralSubmanifoldConvolution.py
in sparseconvnet
 92 7
cu
BatchwiseMultiplicativeDropout.cu
in sparseconvnet/SCN/CUDA
 91 -
RectangularRegions.h
in sparseconvnet/SCN/Metadata
 91 3
AffineReluTrivialConvolution.cpp
in sparseconvnet/SCN/CPU
 90 4
MaxPooling.cpp
in sparseconvnet/SCN/CUDA
 89 4
FullConvolutionRules.h
in sparseconvnet/SCN/Metadata
 88 3
unPooling.py
in sparseconvnet
 86 6
sparsify.py
in sparseconvnet
 85 7
SparseToDense.cpp
in sparseconvnet/SCN/CPU
 77 4
SubmanifoldConvolutionRules.h
in sparseconvnet/SCN/Metadata
 75 3
Files With Most Units (Top 20)
File# lines# units
densehashtable.h
in sparseconvnet/SCN/Metadata/sparsehash/internal
 852 86
sparseconvnet_cpu.cpp
in sparseconvnet/SCN
 568 46
sparseconvnet_cuda.cpp
in sparseconvnet/SCN
 798 44
hashtable-common.h
in sparseconvnet/SCN/Metadata/sparsehash/internal
 224 38
utils.py
in sparseconvnet
 267 29
ioLayers.py
in sparseconvnet
 198 22
Metadata.cpp
in sparseconvnet/SCN/Metadata
 605 19
inputBatch.py
in sparseconvnet
 71 15
activations.py
in sparseconvnet
 66 14
batchNormalization.py
in sparseconvnet
 172 14
Convolution.cpp
in sparseconvnet/SCN/CPU
 366 12
sparseConvNetTensor.py
in sparseconvnet
 45 10
IOLayers.cpp
in sparseconvnet/SCN/CPU
 209 10
Convolution.cpp
in sparseconvnet/SCN/CUDA
 314 10
tables.py
in sparseconvnet
 36 10
IOLayers.cpp
in sparseconvnet/SCN/CUDA
 205 8
libc_allocator_with_realloc.h
in sparseconvnet/SCN/Metadata/sparsehash/internal
 70 8
sequential.py
in sparseconvnet
 59 8
fullConvolution.py
in sparseconvnet
 139 7
deconvolution.py
in sparseconvnet
 141 7
Files With Long Lines (Top 7)

There are 7 files with lines longer than 120 characters. In total, there are 10 long lines.

File# lines# units# long lines
convolution.py
in sparseconvnet
 114 6 2
batchNormalization.py
in sparseconvnet
 172 14 2
shapeContext.py
in sparseconvnet
 106 7 2
fullConvolution.py
in sparseconvnet
 139 7 1
networkArchitectures.py
in sparseconvnet
 295 5 1
randomizedStrideConvolution.py
in sparseconvnet
 115 6 1
setup.py
in root
 31 - 1