apple / learning-compressible-subspaces
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 40 files with 4,251 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 7 medium size files (2,272 lines of codeclsfd_ftr_w_mp_ins)
    • 7 small files (1,223 lines of code)
    • 26 very small files (756 lines of code)
0% | 0% | 53% | 28% | 17%
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% | 57% | 30% | 12%
yaml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
ROOT0% | 0% | 74% | 18% | 7%
models0% | 0% | 72% | 16% | 11%
models/networks0% | 0% | 0% | 77% | 22%
configs/structured_sparsity0% | 0% | 0% | 0% | 100%
configs/quantized0% | 0% | 0% | 0% | 100%
configs/unstructured_sparsity0% | 0% | 0% | 0% | 100%
Longest Files (Top 40)
File# lines# units
utils.py
in root
 496 18
modules.py
in models
 383 32
train_indep.py
in root
 364 10
train_curve.py
in root
 327 8
quantized_modules.py
in models
 262 23
quantize_affine.py
in models
 222 17
get_training_params.py
in root
 218 6
args.py
in root
 195 11
builder.py
in models
 193 7
model_profiling.py
in models/networks
 185 10
cpreresnet.py
in models/networks
 183 5
resnet.py
in models/networks
 168 9
vgg.py
in models/networks
 151 8
model_logging.py
in root
 148 8
resprune.py
in models/networks
 95 1
special_tensors.py
in models
 91 13
curve_utils.py
in root
 69 5
vggprune.py
in models/networks
 55 1
sparse_modules.py
in models
 37 8
training_params.py
in root
 36 1
ns.yaml
in configs/structured_sparsity
 30 -
lcs_p.yaml
in configs/structured_sparsity
 29 -
us.yaml
in configs/structured_sparsity
 29 -
lcs_l.yaml
in configs/structured_sparsity
 27 -
lcs_l.yaml
in configs/quantized
 25 -
lcs_p.yaml
in configs/quantized
 24 -
target_bit_width.yaml
in configs/quantized
 24 -
lec.yaml
in configs/structured_sparsity
 23 -
lcs_l.yaml
in configs/unstructured_sparsity
 23 -
lcs_p.yaml
in configs/unstructured_sparsity
 23 -
target_topk.yaml
in configs/unstructured_sparsity
 22 -
utils.py
in models/networks
 21 1
channel_selection.py
in models/networks
 20 3
schedulers.py
in root
 19 3
main.py
in root
 9 1
init.py
in models
 5 1
__init__.py
in models/networks
 5 -
train_quantized.py
in root
 5 -
train_structured.py
in root
 5 -
train_unstructured.py
in root
 5 -
Files With Most Units (Top 20)
File# lines# units
modules.py
in models
 383 32
quantized_modules.py
in models
 262 23
utils.py
in root
 496 18
quantize_affine.py
in models
 222 17
special_tensors.py
in models
 91 13
args.py
in root
 195 11
model_profiling.py
in models/networks
 185 10
train_indep.py
in root
 364 10
resnet.py
in models/networks
 168 9
model_logging.py
in root
 148 8
vgg.py
in models/networks
 151 8
sparse_modules.py
in models
 37 8
train_curve.py
in root
 327 8
builder.py
in models
 193 7
get_training_params.py
in root
 218 6
curve_utils.py
in root
 69 5
cpreresnet.py
in models/networks
 183 5
channel_selection.py
in models/networks
 20 3
schedulers.py
in root
 19 3
main.py
in root
 9 1
Files With Long Lines (Top 0)

There are 0 files with lines longer than 120 characters. In total, there are 0 long lines.

File# lines# units# long lines