facebookresearch / torchrec
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 79 files with 12,908 lines of code.
    • 0 very long files (0 lines of code)
    • 5 long files (3,368 lines of code)
    • 21 medium size files (6,268 lines of codeclsfd_ftr_w_mp_ins)
    • 14 small files (1,996 lines of code)
    • 39 very small files (1,276 lines of code)
0% | 26% | 48% | 15% | 9%
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% | 26% | 47% | 15% | 9%
cpp0% | 0% | 100% | 0% | 0%
h0% | 0% | 0% | 0% | 100%
MD0% | 0% | 0% | 0% | 100%
toml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
torchrec/distributed0% | 28% | 55% | 9% | 5%
torchrec/sparse0% | 68% | 26% | 0% | 5%
torchrec/datasets0% | 0% | 62% | 14% | 23%
torchrec/optim0% | 0% | 61% | 24% | 14%
torchrec/modules0% | 0% | 25% | 32% | 41%
torchrec/models0% | 0% | 0% | 99% | <1%
torchrec/quant0% | 0% | 0% | 99% | <1%
torchrec/linter0% | 0% | 0% | 100% | 0%
ROOT0% | 0% | 0% | 0% | 100%
torchrec0% | 0% | 0% | 0% | 100%
torchrec/fx0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
jagged_tensor.py
in torchrec/sparse
 819 71
embeddingbag.py
in torchrec/distributed
 676 43
shard_estimators.py
in torchrec/distributed/planner
 644 18
comm_ops.py
in torchrec/distributed
 616 26
batched_embedding_kernel.py
in torchrec/distributed
 613 44
twrw_sharding.py
in torchrec/distributed
 422 22
embedding_lookup.py
in torchrec/distributed
 415 24
dist_data.py
in torchrec/distributed
 415 24
embedding_sharding.py
in torchrec/distributed
 376 34
train_pipeline.py
in torchrec/distributed
 359 21
tw_sharding.py
in torchrec/distributed
 351 27
rw_sharding.py
in torchrec/distributed
 325 21
model_parallel.py
in torchrec/distributed
 319 23
criteo.py
in torchrec/datasets
 314 15
jagged_tensor_ops.cpp
in torchrec/sparse
 314 28
embedding_kernel.py
in torchrec/distributed
 275 19
partitioners.py
in torchrec/distributed/planner
 265 12
types.py
in torchrec/distributed
 265 39
planners.py
in torchrec/distributed/planner
 260 6
types.py
in torchrec/distributed/planner
 251 29
keyed.py
in torchrec/optim
 251 29
utils.py
in torchrec/datasets
 230 25
crossnet.py
in torchrec/modules
 222 8
embedding_types.py
in torchrec/distributed
 217 29
enumerators.py
in torchrec/distributed/planner
 213 8
stats.py
in torchrec/distributed/planner
 209 4
embedding_modules.py
in torchrec/quant
 197 11
dp_sharding.py
in torchrec/distributed
 192 20
module_linter.py
in torchrec/linter
 167 7
embedding_modules.py
in torchrec/modules
 167 10
quant_embedding_kernel.py
in torchrec/distributed
 159 8
quant_embeddingbag.py
in torchrec/distributed
 155 11
cw_sharding.py
in torchrec/distributed
 139 6
dlrm.py
in torchrec/models
 134 10
random.py
in torchrec/datasets
 127 6
deepfm.py
in torchrec/models
 121 10
storage_reservations.py
in torchrec/distributed/planner
 114 7
lazy_extension.py
in torchrec/modules
 112 6
proposers.py
in torchrec/distributed/planner
 111 9
warmup.py
in torchrec/optim
 101 7
comm.py
in torchrec/distributed
 90 6
grouped_position_weighted.py
in torchrec/distributed
 84 6
movielens.py
in torchrec/datasets
 81 5
mlp.py
in torchrec/modules
 79 4
utils.py
in torchrec/distributed
 77 7
utils.py
in torchrec/modules
 77 6
embedding.py
in torchrec/distributed
 75 7
criteo_dataframes.py
in torchrec/datasets/experimental
 72 2
jagged_tensor_ops.h
in torchrec/sparse
 62 -
embedding_configs.py
in torchrec/modules
 56 3
Files With Most Units (Top 20)
File# lines# units
jagged_tensor.py
in torchrec/sparse
 819 71
batched_embedding_kernel.py
in torchrec/distributed
 613 44
embeddingbag.py
in torchrec/distributed
 676 43
types.py
in torchrec/distributed
 265 39
embedding_sharding.py
in torchrec/distributed
 376 34
types.py
in torchrec/distributed/planner
 251 29
embedding_types.py
in torchrec/distributed
 217 29
keyed.py
in torchrec/optim
 251 29
jagged_tensor_ops.cpp
in torchrec/sparse
 314 28
tw_sharding.py
in torchrec/distributed
 351 27
comm_ops.py
in torchrec/distributed
 616 26
utils.py
in torchrec/datasets
 230 25
embedding_lookup.py
in torchrec/distributed
 415 24
dist_data.py
in torchrec/distributed
 415 24
model_parallel.py
in torchrec/distributed
 319 23
twrw_sharding.py
in torchrec/distributed
 422 22
train_pipeline.py
in torchrec/distributed
 359 21
rw_sharding.py
in torchrec/distributed
 325 21
dp_sharding.py
in torchrec/distributed
 192 20
embedding_kernel.py
in torchrec/distributed
 275 19
Files With Long Lines (Top 4)

There are 4 files with lines longer than 120 characters. In total, there are 14 long lines.

File# lines# units# long lines
README.MD
in root
 49 - 10
partitioners.py
in torchrec/distributed/planner
 265 12 2
shard_estimators.py
in torchrec/distributed/planner
 644 18 1
stats.py
in torchrec/distributed/planner
 209 4 1