pytorch / examples
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 65 files with 5,621 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 4 medium size files (1,104 lines of codeclsfd_ftr_w_mp_ins)
    • 17 small files (2,347 lines of code)
    • 44 very small files (2,170 lines of code)
0% | 0% | 19% | 41% | 38%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 24% | 30% | 44%
cpp0% | 0% | 0% | 89% | 10%
h0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
imagenet0% | 0% | 100% | 0% | 0%
fx0% | 0% | 33% | 11% | 55%
dcgan0% | 0% | 100% | 0% | 0%
distributed0% | 0% | 17% | 59% | 23%
cpp0% | 0% | 0% | 76% | 23%
word_language_model0% | 0% | 0% | 74% | 25%
fast_neural_style0% | 0% | 0% | 56% | 43%
mnist0% | 0% | 0% | 100% | 0%
vae0% | 0% | 0% | 100% | 0%
snli0% | 0% | 0% | 0% | 100%
super_resolution0% | 0% | 0% | 0% | 100%
reinforcement_learning0% | 0% | 0% | 0% | 100%
mnist_hogwild0% | 0% | 0% | 0% | 100%
time_sequence_prediction0% | 0% | 0% | 0% | 100%
regression0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
main.py
in imagenet
 343 16
nnc_compile.py
in fx
 336 20
main.py
in dcgan
 214 5
rpc_parameter_server.py
in distributed/rpc/parameter_server
 211 16
neural_style.py
in fast_neural_style/neural_style
 192 5
custom-dataset.cpp
in cpp/custom-dataset
 185 7
reinforce.py
in distributed/rpc/batch
 171 10
main.py
in word_language_model
 169 6
main.py
in distributed/rpc/pipeline
 169 13
main.py
in distributed/rpc/rl
 157 13
dcgan.cpp
in cpp/dcgan
 153 2
mnist.cpp
in cpp/mnist
 129 4
main.cpp
in cpp/transfer-learning
 127 7
dist-mnist.cpp
in cpp/distributed
 121 3
autograd.cpp
in cpp/autograd
 121 8
main.py
in mnist
 116 5
parameter_server.py
in distributed/rpc/batch
 114 10
interpreter.cpp
in fx/native_interpreter
 113 6
main.py
in distributed/rpc/ddp_rpc
 107 4
main.py
in vae
 102 8
model.py
in word_language_model
 101 10
main.py
in distributed/ddp
 100 10
train.py
in snli
 98 -
vmap.py
in fx
 96 7
actor_critic.py
in reinforcement_learning
 93 5
reinforce.py
in reinforcement_learning
 87 5
train.py
in time_sequence_prediction
 78 4
main.py
in mnist_hogwild
 77 2
use_interpreter.py
in fx/native_interpreter
 73 2
transformer_net.py
in fast_neural_style/neural_style
 72 8
download_mnist.py
in cpp/tools
 72 4
example.py
in distributed/ddp
 66 4
model.py
in snli
 63 5
regression.cpp
in cpp/regression
 63 5
rnn.py
in distributed/rpc/rnn
 62 10
main.py
in super_resolution
 62 3
util.py
in snli
 62 2
main.py
in distributed/rpc/rnn
 56 2
generate.py
in word_language_model
 55 -
wrap_output_dynamically.py
in fx
 51 3
classify.cpp
in cpp/transfer-learning
 51 3
data.py
in super_resolution
 49 6
primitive_library.py
in fx
 48 5
profiling_tracer.py
in fx
 47 2
subgraph_rewriter_basic_use.py
in fx
 46 5
inline_function.py
in fx
 43 2
train.py
in mnist_hogwild
 43 4
data.py
in word_language_model
 37 5
proxy_based_graph_creation.py
in fx
 37 1
main.py
in regression
 37 4
Files With Most Units (Top 20)
File# lines# units
nnc_compile.py
in fx
 336 20
rpc_parameter_server.py
in distributed/rpc/parameter_server
 211 16
main.py
in imagenet
 343 16
main.py
in distributed/rpc/pipeline
 169 13
main.py
in distributed/rpc/rl
 157 13
model.py
in word_language_model
 101 10
main.py
in distributed/ddp
 100 10
reinforce.py
in distributed/rpc/batch
 171 10
parameter_server.py
in distributed/rpc/batch
 114 10
rnn.py
in distributed/rpc/rnn
 62 10
transformer_net.py
in fast_neural_style/neural_style
 72 8
autograd.cpp
in cpp/autograd
 121 8
main.py
in vae
 102 8
vmap.py
in fx
 96 7
custom-dataset.cpp
in cpp/custom-dataset
 185 7
main.cpp
in cpp/transfer-learning
 127 7
main.py
in word_language_model
 169 6
custom_tracer.py
in fx
 36 6
interpreter.cpp
in fx/native_interpreter
 113 6
data.py
in super_resolution
 49 6
Files With Long Lines (Top 8)

There are 8 files with lines longer than 120 characters. In total, there are 13 long lines.

File# lines# units# long lines
train.py
in snli
 98 - 4
neural_style.py
in fast_neural_style/neural_style
 192 5 2
main.cpp
in cpp/transfer-learning
 127 7 2
main.py
in word_language_model
 169 6 1
example.py
in distributed/ddp
 66 4 1
nnc_compile.py
in fx
 336 20 1
download_saved_models.py
in fast_neural_style
 15 1 1
main.h
in cpp/transfer-learning
 36 2 1