aws-samples / amazon-sagemaker-cv
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 304 files with 22,755 lines of code.
    • 0 very long files (0 lines of code)
    • 3 long files (1,889 lines of code)
    • 20 medium size files (5,644 lines of codeclsfd_ftr_w_mp_ins)
    • 53 small files (7,694 lines of code)
    • 228 very small files (7,528 lines of code)
0% | 8% | 24% | 33% | 33%
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
cpp0% | 61% | 14% | 10% | 13%
py0% | 2% | 24% | 35% | 37%
cu0% | 18% | 40% | 35% | 5%
h0% | 0% | 0% | 25% | 74%
cuh0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
pytorch/cuda_utils/smcv_utils0% | 27% | 26% | 26% | 18%
tensorflow/sagemakercv/detection0% | 36% | 0% | 39% | 24%
pytorch/sagemakercv/detection0% | 0% | 43% | 22% | 34%
tensorflow/sagemakercv/data0% | 0% | 64% | 27% | 7%
pytorch/sagemakercv/data0% | 0% | 44% | 33% | 22%
tensorflow/sagemakercv/core0% | 0% | 26% | 45% | 27%
tensorflow/sagemakercv/training0% | 0% | 24% | 44% | 31%
pytorch/sagemakercv/core0% | 0% | 22% | 44% | 32%
pytorch/sagemakercv/layers0% | 0% | 15% | 31% | 52%
pytorch/sagemakercv/utils0% | 0% | 0% | 34% | 65%
tensorflow/sagemakercv/utils0% | 0% | 0% | 36% | 63%
pytorch/sagemakercv/training0% | 0% | 0% | 48% | 51%
pytorch/configs0% | 0% | 0% | 99% | <1%
tensorflow/configs0% | 0% | 0% | 99% | <1%
pytorch0% | 0% | 0% | 47% | 52%
pytorch/sagemakercv/inference0% | 0% | 0% | 0% | 100%
tensorflow/sagemakercv/layers0% | 0% | 0% | 0% | 100%
tensorflow0% | 0% | 0% | 0% | 100%
pytorch/cuda_utils0% | 0% | 0% | 0% | 100%
tensorflow/sagemakercv0% | 0% | 0% | 0% | 100%
pytorch/sagemakercv0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
conv.cpp
in pytorch/cuda_utils/smcv_utils/cuda/nhwc
 859 46
resnet.py
in tensorflow/sagemakercv/detection/backbones
 521 16
ROIAlign_cuda.cu
in pytorch/cuda_utils/smcv_utils/cuda
 509 -
generate_mask_targets.cu
in pytorch/cuda_utils/smcv_utils/cuda
 425 -
box_utils.py
in tensorflow/sagemakercv/core
 392 19
coco_eval.py
in pytorch/sagemakercv/data/datasets/evaluation/coco
 350 13
resnet.py
in pytorch/sagemakercv/detection/backbone
 349 14
dataloader.py
in tensorflow/sagemakercv/data/coco
 347 3
coco.py
in pytorch/sagemakercv/data/datasets
 337 36
loss.py
in pytorch/sagemakercv/detection/roi_heads/box_head
 306 10
inference.py
in pytorch/sagemakercv/detection/rpn
 305 9
losses.py
in tensorflow/sagemakercv/training/losses
 278 10
UpSampleNearest2d.cu
in pytorch/cuda_utils/smcv_utils/cuda/nhwc
 268 -
coco_metric.py
in tensorflow/sagemakercv/data/coco
 258 9
dataloader_utils.py
in tensorflow/sagemakercv/data/coco
 257 10
roi_ops.py
in tensorflow/sagemakercv/core
 242 6
anchor_generator.py
in pytorch/sagemakercv/detection/rpn
 234 19
rpn_generate_proposals_batched.cu
in pytorch/cuda_utils/smcv_utils/cuda
 233 -
create_coco_tf_record.py
in tensorflow/sagemakercv/data/coco
 223 6
bounding_box.py
in pytorch/sagemakercv/core/structures
 216 19
conv.py
in pytorch/sagemakercv/layers/nhwc
 212 9
ROIAlign_cpu.cpp
in pytorch/cuda_utils/smcv_utils/cpu
 208 3
rpn_generate_proposals.cu
in pytorch/cuda_utils/smcv_utils/cuda
 204 -
frcnn_losses.py
in tensorflow/sagemakercv/training/losses
 200 7
coco_labels.py
in tensorflow/sagemakercv/data/coco
 185 -
training_ops.py
in tensorflow/sagemakercv/core
 184 9
spatial_transform_ops.py
in tensorflow/sagemakercv/core
 184 5
postprocess_ops.py
in tensorflow/sagemakercv/core
 181 5
runner.py
in tensorflow/sagemakercv/utils/runner
 181 24
logging_formatter.py
in tensorflow/sagemakercv/utils
 181 17
Descriptors.h
in pytorch/cuda_utils/smcv_utils/cuda/nhwc
 180 13
ROIPool_cuda.cu
in pytorch/cuda_utils/smcv_utils/cuda
 175 -
novograd.py
in tensorflow/sagemakercv/training/optimizers
 175 9
standard_roi_head.py
in tensorflow/sagemakercv/detection/roi_heads
 174 5
iou_loss.py
in pytorch/sagemakercv/layers
 172 9
config.py
in pytorch/configs
 170 -
visualize.py
in pytorch/sagemakercv/utils
 167 16
nms_batched.cu
in pytorch/cuda_utils/smcv_utils/cuda
 166 -
build.py
in pytorch/sagemakercv/data
 165 11
match_proposals.cu
in pytorch/cuda_utils/smcv_utils/cuda
 162 -
evaluation.py
in tensorflow/sagemakercv/utils/runner/hooks
 161 11
cascade_roi_head.py
in tensorflow/sagemakercv/detection/roi_heads
 160 4
preprocessor.py
in tensorflow/sagemakercv/core
 160 11
mlperf_fp16_optimizer.py
in pytorch/sagemakercv/training/optimizers
 158 11
runner.py
in pytorch/sagemakercv/utils/runner
 158 17
segmentation_mask.py
in pytorch/sagemakercv/core/structures
 155 19
SigmoidFocalLoss_cuda.cu
in pytorch/cuda_utils/smcv_utils/cuda
 150 -
checkpoint.py
in pytorch/sagemakercv/utils
 148 13
Descriptors.cpp
in pytorch/cuda_utils/smcv_utils/cuda/nhwc
 148 9
evaluation.py
in tensorflow/sagemakercv/data/coco
 148 6
Files With Most Units (Top 20)
File# lines# units
conv.cpp
in pytorch/cuda_utils/smcv_utils/cuda/nhwc
 859 46
coco.py
in pytorch/sagemakercv/data/datasets
 337 36
runner.py
in tensorflow/sagemakercv/utils/runner
 181 24
anchor_generator.py
in pytorch/sagemakercv/detection/rpn
 234 19
bounding_box.py
in pytorch/sagemakercv/core/structures
 216 19
segmentation_mask.py
in pytorch/sagemakercv/core/structures
 155 19
box_utils.py
in tensorflow/sagemakercv/core
 392 19
hook.py
in pytorch/sagemakercv/utils/runner/hooks
 37 18
hook.py
in tensorflow/sagemakercv/utils/runner/hooks
 37 18
runner.py
in pytorch/sagemakercv/utils/runner
 158 17
matcher.py
in tensorflow/sagemakercv/core
 53 17
logging_formatter.py
in tensorflow/sagemakercv/utils
 181 17
visualize.py
in pytorch/sagemakercv/utils
 167 16
resnet.py
in tensorflow/sagemakercv/detection/backbones
 521 16
weight_decay_optimizer.py
in tensorflow/sagemakercv/training/optimizers
 143 15
resnet.py
in pytorch/sagemakercv/detection/backbone
 349 14
box_list.py
in tensorflow/sagemakercv/core
 58 14
async_evaluator.py
in pytorch/sagemakercv/utils
 53 13
checkpoint.py
in pytorch/sagemakercv/utils
 148 13
coco_eval.py
in pytorch/sagemakercv/data/datasets/evaluation/coco
 350 13
Files With Long Lines (Top 20)

There are 32 files with lines longer than 120 characters. In total, there are 105 long lines.

File# lines# units# long lines
conv.cpp
in pytorch/cuda_utils/smcv_utils/cuda/nhwc
 859 46 19
conv.py
in pytorch/sagemakercv/layers/nhwc
 212 9 8
setup.py
in pytorch
 38 - 8
nhwc.cpp
in pytorch/cuda_utils/smcv_utils/cuda
 17 - 8
ROIAlign_cuda.cu
in pytorch/cuda_utils/smcv_utils/cuda
 509 - 8
inference.py
in pytorch/sagemakercv/detection/rpn
 305 9 6
visualize.py
in pytorch/sagemakercv/utils
 167 16 4
nms_batched.cu
in pytorch/cuda_utils/smcv_utils/cuda
 166 - 4
resnet.py
in tensorflow/sagemakercv/detection/backbones
 521 16 4
transforms.py
in pytorch/sagemakercv/data/transforms
 105 13 3
nhwc.h
in pytorch/cuda_utils/smcv_utils/cuda
 56 - 3
rpn.py
in pytorch/sagemakercv/detection/rpn
 94 8 2
loss.py
in pytorch/sagemakercv/detection/roi_heads/box_head
 306 10 2
matcher.py
in pytorch/sagemakercv/core
 46 3 2
image_list.py
in pytorch/sagemakercv/core/structures
 65 4 2
c2_model_loading.py
in pytorch/sagemakercv/utils
 120 6 2
generate_mask_targets.cu
in pytorch/cuda_utils/smcv_utils/cuda
 425 - 2
rpn_generate_proposals_batched.cu
in pytorch/cuda_utils/smcv_utils/cuda
 233 - 2
losses.py
in tensorflow/sagemakercv/training/losses
 278 10 2
setup.py
in tensorflow
 24 - 2