apache / mxnet-test
File Size

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

Intro
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File Size Overall
7% | 19% | 33% | 23% | 16%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
cc13% | 23% | 30% | 17% | 16%
proto100% | 0% | 0% | 0% | 0%
i50% | 29% | 20% | 0% | 0%
h3% | 16% | 45% | 24% | 8%
pm10% | 48% | 21% | 10% | 8%
py0% | 9% | 27% | 35% | 27%
cu0% | 40% | 20% | 11% | 27%
cuh0% | 30% | 51% | 18% | 0%
scala0% | 18% | 33% | 26% | 21%
cpp0% | 29% | 13% | 38% | 18%
m0% | 66% | 0% | 24% | 9%
ipynb0% | 0% | 84% | 15% | 0%
hpp0% | 0% | 66% | 17% | 15%
cmake0% | 0% | 54% | 22% | 22%
pyx0% | 0% | 40% | 25% | 33%
c0% | 0% | 100% | 0% | 0%
xml0% | 0% | 0% | 100% | 0%
cfg0% | 0% | 0% | 0% | 100%
yml0% | 0% | 0% | 0% | 100%
java0% | 0% | 0% | 0% | 100%
pyi0% | 0% | 0% | 0% | 100%
yaml0% | 0% | 0% | 0% | 100%
t0% | 0% | 0% | 0% | 100%
perl0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
perl-package19% | 44% | 21% | 8% | 6%
src4% | 24% | 40% | 19% | 11%
scala-package19% | 14% | 26% | 21% | 18%
example5% | 0% | 25% | 39% | 29%
tools38% | 0% | 29% | 11% | 20%
python0% | 36% | 35% | 14% | 13%
R-package0% | 24% | 33% | 28% | 13%
cpp-package0% | 10% | 33% | 35% | 20%
include0% | 23% | 34% | 20% | 20%
matlab0% | 66% | 0% | 24% | 9%
plugin0% | 0% | 52% | 25% | 22%
cmake0% | 0% | 54% | 22% | 22%
amalgamation0% | 0% | 0% | 29% | 70%
ROOT0% | 0% | 0% | 0% | 100%
docker0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
ml_dmlc_mxnet_native_c_api.cc
in scala-package/native/src/main/native
 2161 2
proto
caffe.proto
in example/ssd/tools/caffe_converter/caffe_parse
 1723 -
i
mxnet.i
in perl-package/AI-MXNetCAPI
 1573 -
matrix_op-inl.h
in src/operator/tensor
 1533 44
proto
caffe.proto
in tools/caffe_converter
 1253 -
Cell.pm
in perl-package/AI-MXNet/lib/AI/MXNet/RNN
 1233 25
graph_executor.cc
in src/executor
 1126 25
operator_util.cc
in src/operator
 954 27
symbol.py
in python/mxnet
 946 66
mshadow_op.h
in src/operator
 933 122
mkl_cppwrapper.h
in src/operator/mkl
 925 84
i
mxnet_typemaps.i
in perl-package/AI-MXNetCAPI
 916 -
c_api.cc
in src/c_api
 881 79
Optimizer.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 866 13
Symbol.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 857 6
Symbol.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 826 106
rnn_cell.py
in python/mxnet/rnn
 808 86
NDArray.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 806 6
pool.cuh
in src/operator/nn
 804 -
ndarray.cc
in src/ndarray
 797 32
ndarray.py
in python/mxnet
 786 89
NDArray.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 751 120
Module.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 747 8
658 9
broadcast_reduce_op.h
in src/operator/tensor
 639 26
638 9
Group.pm
in perl-package/AI-MXNet/lib/AI/MXNet/Executor
 637 12
pad.cu
in src/operator
 626 -
pad.cc
in src/operator
 616 14
ndarray.cc
in R-package/src
 610 33
correlation.cu
in src/operator
 607 -
pool.h
in src/operator/nn
 600 14
deconvolution-inl.h
in src/operator
 600 15
charRNN.cpp
in cpp-package/example
 586 29
loadstore.cuh
in src/operator/contrib/ctc_include/contrib/moderngpu/include/device
 574 -
batch_norm.cu
in src/operator
 572 -
c_api.h
in include/mxnet
 547 -
broadcast_reduce-inl.cuh
in src/operator/tensor
 547 -
indexing_op.h
in src/operator/tensor
 547 23
IO.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 541 10
533 17
Image.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 525 13
Initializer.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 524 15
multi_proposal.cu
in src/operator/contrib
 523 -
operator.py
in python/mxnet
 517 29
model.py
in python/mxnet
 514 23
514 9
c_api_ndarray.cc
in src/c_api
 514 17
proposal.cu
in src/operator/contrib
 511 -
parse_json.m
in matlab/+mxnet/private
 508 1
Files With Most Units (Top 50)
File# lines# units
mshadow_op.h
in src/operator
 933 122
NDArray.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 751 120
Symbol.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 826 106
ndarray.py
in python/mxnet
 786 89
rnn_cell.py
in python/mxnet/rnn
 808 86
mkl_cppwrapper.h
in src/operator/mkl
 925 84
c_api.cc
in src/c_api
 881 79
symbol.py
in python/mxnet
 946 66
io.py
in python/mxnet
 442 58
optimizer.py
in python/mxnet
 459 53
FeedForward.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 430 46
matrix_op-inl.h
in src/operator/tensor
 1533 44
metric.py
in python/mxnet
 357 43
initializer.py
in python/mxnet
 315 42
optimizer.hpp
in cpp-package/include/mxnet-cpp
 323 36
DataParallelExecutorGroup.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet/module
 483 36
callback.py
in python/mxnet/notebook
 213 35
ndarray.hpp
in cpp-package/include/mxnet-cpp
 354 35
ndarray.cc
in R-package/src
 610 33
base_module.py
in python/mxnet/module
 279 33
c_api_symbolic.cc
in src/c_api
 487 33
ndarray.cc
in src/ndarray
 797 32
utils.py
in example/reinforcement-learning/dqn
 209 30
la_op_inline.h
in src/operator/tensor
 277 30
module.py
in python/mxnet/module
 339 29
operator.py
in python/mxnet
 517 29
image.py
in python/mxnet
 338 29
charRNN.cpp
in cpp-package/example
 586 29
loader.py
in example/rcnn/rcnn/core
 284 28
operator_util.cc
in src/operator
 954 27
ExecutorManager.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 354 26
BaseModule.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet/module
 270 26
batch_norm-inl.h
in src/operator
 357 26
broadcast_reduce_op.h
in src/operator/tensor
 639 26
bdk_demo.py
in example/bayesian-methods
 305 25
Cell.pm
in perl-package/AI-MXNet/lib/AI/MXNet/RNN
 1233 25
graph_executor.cc
in src/executor
 1126 25
bucketing_module.py
in python/mxnet/module
 189 24
symbol.cc
in R-package/src
 347 23
model.py
in python/mxnet
 514 23
indexing_op.h
in src/operator/tensor
 547 23
executor_group.py
in python/mxnet/module
 311 22
executor_manager.py
in python/mxnet
 243 22
op_suppl.h
in cpp-package/include/mxnet-cpp
 134 22
python_module.py
in python/mxnet/module
 108 21
KVStore.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet
 143 21
profiler_ndarray.py
in example/profiler
 265 20
ctypes.cc
in example/speech-demo/python_wrap
 165 20
base.py
in example/reinforcement-learning/dqn
 236 20
Module.scala
in scala-package/core/src/main/scala/ml/dmlc/mxnet/module
 328 20
Files With Long Lines (Top 50)

There are 78 files with lines longer than 120 characters. In total, there are 359 long lines.

File# lines# units# long lines
inceptionv3.py
in example/ssd/symbol
 141 7 24
inception-v3.py
in example/image-classification/symbols
 141 7 24
symbol_vgg.py
in example/rcnn/rcnn/symbol
 266 7 15
model_vgg19.py
in example/neural-style/end_to_end
 83 3 13
model_vgg19.py
in example/neural-style
 65 3 13
436 - 13
symbol_resnet.py
in example/rcnn/rcnn/symbol
 156 4 13
benchmark.py
in example/image-classification
 190 14 12
model_io.py
in example/speech-demo/io_func
 182 9 12
resnet-v1-fp16.py
in example/image-classification/symbols
 132 3 11
resnet_fp16.py
in example/image-classification/symbols
 144 3 11
caffe_net.py
in example/caffe
 88 4 11
i
mxnet_typemaps.i
in perl-package/AI-MXNetCAPI
 916 - 11
resnext.py
in example/image-classification/symbols
 122 3 10
inception-bn.py
in example/image-classification/symbols
 78 6 9
bdk.ipynb
in example/bayesian-methods
 422 - 9
autoencoder.py
in example/autoencoder
 161 7 8
inception_memcost.py
in example/memcost
 62 4 7
im2rec.cc
in tools
 257 2 6
torch_module.py
in example/torch
 26 - 6
train.py
in example/speech_recognition
 112 4 5
deformable_im2col.cuh
in src/operator/contrib/nn
 470 - 5
data.py
in example/fcn-xs
 87 9 4
_mask.pyx
in example/rcnn/rcnn/pycocotools
 242 17 4
TestUtils.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 313 8 4
NDArray.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 806 6 4
Utils.cmake
in cmake
 366 - 3
resnet.py
in example/ssd/symbol
 122 3 3
resnet-v1.py
in example/image-classification/symbols
 120 3 3
resnet.py
in example/image-classification/symbols
 122 3 3
demo1-MF2-fancy.ipynb
in example/recommenders
 295 - 3
train_end2end.py
in example/rcnn
 138 3 3
train_rcnn.py
in example/rcnn/rcnn/tools
 131 3 3
train_rpn.py
in example/rcnn/rcnn/tools
 132 3 3
a3c.py
in example/reinforcement-learning/a3c
 176 3 3
Symbol.pm
in perl-package/AI-MXNet/lib/AI/MXNet
 857 6 3
convert_caffe_modelzoo.py
in tools/caffe_converter
 88 3 2
dcgan.py
in example/gan
 217 14 2
symbol_fcnxs.py
in example/fcn-xs
 160 12 2
solver.py
in example/autoencoder
 107 9 2
convert_symbol.py
in example/ssd/tools/caffe_converter
 306 7 2
modelzoo.py
in example/image-classification/common
 44 1 2
googlenet.py
in example/image-classification/symbols
 38 3 2
stt_io_iter.py
in example/speech_recognition
 89 6 2
main.py
in example/speech_recognition
 204 5 2
demo1-MF.ipynb
in example/recommenders
 252 - 2
demo2-binary.ipynb
in example/recommenders
 137 - 2
50 8 2
utils.py
in example/bayesian-methods
 161 8 2
demo.py
in example/rcnn
 103 5 2
Correlations

File Size vs. Commits (all time): 1022 points

R-package/src/export.cc x: 15 commits (all time) y: 93 lines of code R-package/src/ndarray.cc x: 87 commits (all time) y: 610 lines of code R-package/src/symbol.cc x: 55 commits (all time) y: 347 lines of code R-package/src/symbol.h x: 24 commits (all time) y: 93 lines of code example/image-classification/common/fit.py x: 6 commits (all time) y: 144 lines of code example/image-classification/symbols/alexnet_fp16.py x: 3 commits (all time) y: 57 lines of code example/image-classification/symbols/inception-v4.py x: 2 commits (all time) y: 110 lines of code example/image-classification/symbols/lenet.py x: 3 commits (all time) y: 30 lines of code example/image-classification/symbols/resnet-v1-fp16.py x: 5 commits (all time) y: 132 lines of code example/image-classification/symbols/resnet-v1.py x: 3 commits (all time) y: 120 lines of code example/image-classification/symbols/resnet.py x: 5 commits (all time) y: 122 lines of code example/image-classification/symbols/resnet_fp16.py x: 5 commits (all time) y: 144 lines of code example/image-classification/symbols/resnext.py x: 4 commits (all time) y: 122 lines of code example/image-classification/train_mnist.py x: 44 commits (all time) y: 53 lines of code example/rcnn/rcnn/core/module.py x: 4 commits (all time) y: 151 lines of code example/rcnn/rcnn/io/rcnn.py x: 3 commits (all time) y: 95 lines of code example/rnn/lstm_bucketing.py x: 22 commits (all time) y: 90 lines of code example/ssd/config/config.py x: 4 commits (all time) y: 55 lines of code example/ssd/dataset/mscoco.py x: 2 commits (all time) y: 58 lines of code example/ssd/dataset/pascal_voc.py x: 6 commits (all time) y: 128 lines of code example/ssd/dataset/pycocotools/__init__.py x: 2 commits (all time) y: 1 lines of code example/ssd/dataset/pycocotools/coco.py x: 2 commits (all time) y: 283 lines of code example/ssd/demo.py x: 6 commits (all time) y: 90 lines of code example/ssd/deploy.py x: 5 commits (all time) y: 43 lines of code example/ssd/evaluate.py x: 4 commits (all time) y: 83 lines of code example/ssd/symbol/inceptionv3.py x: 2 commits (all time) y: 141 lines of code example/ssd/symbol/legacy_vgg16_ssd_300.py x: 2 commits (all time) y: 125 lines of code example/ssd/symbol/legacy_vgg16_ssd_512.py x: 2 commits (all time) y: 128 lines of code example/ssd/symbol/symbol_factory.py x: 2 commits (all time) y: 85 lines of code example/ssd/symbol/vgg16_reduced.py x: 2 commits (all time) y: 69 lines of code example/ssd/tools/prepare_dataset.py x: 3 commits (all time) y: 73 lines of code example/ssd/tools/visualize_net.py x: 5 commits (all time) y: 24 lines of code include/mxnet/c_api.h x: 325 commits (all time) y: 547 lines of code include/mxnet/kvstore.h x: 86 commits (all time) y: 98 lines of code perl-package/AI-MXNet/META.yml x: 10 commits (all time) y: 26 lines of code perl-package/AI-MXNet/lib/AI/MXNet.pm x: 11 commits (all time) y: 83 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Base.pm x: 9 commits (all time) y: 165 lines of code perl-package/AI-MXNet/lib/AI/MXNet/CachedOp.pm x: 3 commits (all time) y: 79 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Executor/Group.pm x: 8 commits (all time) y: 637 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Initializer.pm x: 8 commits (all time) y: 524 lines of code perl-package/AI-MXNet/lib/AI/MXNet/KVStore.pm x: 5 commits (all time) y: 170 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Module.pm x: 6 commits (all time) y: 747 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Module/Base.pm x: 7 commits (all time) y: 471 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Module/Bucketing.pm x: 7 commits (all time) y: 335 lines of code perl-package/AI-MXNet/lib/AI/MXNet/NDArray.pm x: 7 commits (all time) y: 806 lines of code perl-package/AI-MXNet/lib/AI/MXNet/NDArray/Base.pm x: 7 commits (all time) y: 127 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Optimizer.pm x: 8 commits (all time) y: 866 lines of code perl-package/AI-MXNet/lib/AI/MXNet/RNN/Cell.pm x: 7 commits (all time) y: 1233 lines of code perl-package/AI-MXNet/lib/AI/MXNet/RNN/IO.pm x: 5 commits (all time) y: 206 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Symbol.pm x: 10 commits (all time) y: 857 lines of code perl-package/AI-MXNet/lib/AI/MXNet/Symbol/Base.pm x: 7 commits (all time) y: 152 lines of code perl-package/AI-MXNet/lib/AI/MXNet/TestUtils.pm x: 6 commits (all time) y: 313 lines of code perl-package/AI-MXNetCAPI/META.yml x: 9 commits (all time) y: 22 lines of code perl-package/AI-MXNetCAPI/lib/AI/MXNetCAPI.pm x: 9 commits (all time) y: 6 lines of code perl-package/AI-MXNetCAPI/mxnet.i x: 10 commits (all time) y: 1573 lines of code perl-package/AI-MXNetCAPI/mxnet_typemaps.i x: 7 commits (all time) y: 916 lines of code python/mxnet/_ctypes/ndarray.py x: 13 commits (all time) y: 91 lines of code python/mxnet/_ctypes/symbol.py x: 11 commits (all time) y: 70 lines of code python/mxnet/base.py x: 98 commits (all time) y: 117 lines of code python/mxnet/cython/base.pyi x: 8 commits (all time) y: 85 lines of code python/mxnet/cython/ndarray.pyx x: 10 commits (all time) y: 149 lines of code python/mxnet/cython/symbol.pyx x: 11 commits (all time) y: 93 lines of code python/mxnet/executor_manager.py x: 53 commits (all time) y: 243 lines of code python/mxnet/kvstore.py x: 100 commits (all time) y: 108 lines of code python/mxnet/metric.py x: 129 commits (all time) y: 357 lines of code python/mxnet/model.py x: 291 commits (all time) y: 514 lines of code python/mxnet/module/base_module.py x: 72 commits (all time) y: 279 lines of code python/mxnet/module/bucketing_module.py x: 37 commits (all time) y: 189 lines of code python/mxnet/module/executor_group.py x: 55 commits (all time) y: 311 lines of code python/mxnet/module/module.py x: 71 commits (all time) y: 339 lines of code python/mxnet/module/python_module.py x: 25 commits (all time) y: 108 lines of code python/mxnet/module/sequential_module.py x: 36 commits (all time) y: 165 lines of code python/mxnet/ndarray.py x: 195 commits (all time) y: 786 lines of code python/mxnet/optimizer.py x: 212 commits (all time) y: 459 lines of code python/mxnet/rnn/rnn_cell.py x: 31 commits (all time) y: 808 lines of code python/mxnet/symbol.py x: 239 commits (all time) y: 946 lines of code scala-package/core/src/main/scala/ml/dmlc/mxnet/KVStore.scala x: 42 commits (all time) y: 143 lines of code scala-package/core/src/main/scala/ml/dmlc/mxnet/LibInfo.scala x: 97 commits (all time) y: 274 lines of code scala-package/core/src/main/scala/ml/dmlc/mxnet/Model.scala x: 59 commits (all time) y: 236 lines of code scala-package/core/src/main/scala/ml/dmlc/mxnet/module/Module.scala x: 5 commits (all time) y: 328 lines of code scala-package/native/src/main/native/ml_dmlc_mxnet_native_c_api.cc x: 110 commits (all time) y: 2161 lines of code src/c_api/c_api.cc x: 142 commits (all time) y: 881 lines of code src/c_api/c_api_ndarray.cc x: 21 commits (all time) y: 514 lines of code src/c_api/c_api_symbolic.cc x: 17 commits (all time) y: 487 lines of code src/common/lazy_alloc_array.h x: 10 commits (all time) y: 128 lines of code src/engine/thread_pool.h x: 16 commits (all time) y: 82 lines of code src/engine/threaded_engine_perdevice.cc x: 44 commits (all time) y: 178 lines of code src/executor/graph_executor.cc x: 36 commits (all time) y: 1126 lines of code src/initialize.cc x: 8 commits (all time) y: 43 lines of code src/io/image_det_aug_default.cc x: 5 commits (all time) y: 533 lines of code src/kvstore/kvstore.cc x: 48 commits (all time) y: 36 lines of code src/kvstore/kvstore_local.h x: 69 commits (all time) y: 140 lines of code src/operator/contrib/ctc_include/detail/cpu_ctc.h x: 3 commits (all time) y: 358 lines of code src/operator/contrib/ctc_include/detail/gpu_ctc.h x: 3 commits (all time) y: 371 lines of code src/operator/contrib/ctc_loss.cc x: 5 commits (all time) y: 65 lines of code src/operator/contrib/ctc_loss.cu x: 3 commits (all time) y: 37 lines of code src/operator/contrib/deformable_convolution-inl.h x: 3 commits (all time) y: 419 lines of code src/operator/deconvolution-inl.h x: 66 commits (all time) y: 600 lines of code src/operator/elemwise_op_common.h x: 13 commits (all time) y: 125 lines of code src/operator/mkl/mkl_relu-inl.h x: 11 commits (all time) y: 238 lines of code src/operator/mshadow_op.h x: 108 commits (all time) y: 933 lines of code src/operator/optimizer_op-inl.h x: 13 commits (all time) y: 492 lines of code src/operator/optimizer_op.cc x: 9 commits (all time) y: 186 lines of code src/operator/optimizer_op.cu x: 6 commits (all time) y: 25 lines of code src/operator/tensor/elemwise_binary_op_basic.cc x: 5 commits (all time) y: 79 lines of code src/operator/tensor/elemwise_sum.cc x: 12 commits (all time) y: 74 lines of code src/operator/tensor/elemwise_unary_op.cc x: 36 commits (all time) y: 454 lines of code src/operator/tensor/matrix_op.cc x: 32 commits (all time) y: 506 lines of code src/storage/storage.cc x: 58 commits (all time) y: 127 lines of code tools/caffe_converter/caffe_proto_utils.py x: 3 commits (all time) y: 113 lines of code tools/caffe_converter/compare_layers.py x: 3 commits (all time) y: 207 lines of code tools/caffe_converter/convert_model.py x: 38 commits (all time) y: 150 lines of code tools/caffe_converter/convert_symbol.py x: 45 commits (all time) y: 227 lines of code tools/im2rec.py x: 52 commits (all time) y: 286 lines of code cpp-package/include/mxnet-cpp/ndarray.h x: 6 commits (all time) y: 114 lines of code cpp-package/include/mxnet-cpp/ndarray.hpp x: 7 commits (all time) y: 354 lines of code cpp-package/include/mxnet-cpp/op_suppl.h x: 4 commits (all time) y: 134 lines of code cpp-package/include/mxnet-cpp/symbol.h x: 4 commits (all time) y: 102 lines of code cpp-package/include/mxnet-cpp/symbol.hpp x: 5 commits (all time) y: 316 lines of code scala-package/core/src/main/scala/ml/dmlc/mxnet/NDArray.scala x: 90 commits (all time) y: 751 lines of code scala-package/core/src/main/scala/ml/dmlc/mxnet/Symbol.scala x: 76 commits (all time) y: 826 lines of code src/ndarray/ndarray_function.h x: 57 commits (all time) y: 118 lines of code src/operator/tensor/elemwise_binary_broadcast_op_basic.cu x: 6 commits (all time) y: 37 lines of code src/operator/tensor/elemwise_binary_scalar_op_basic.cc x: 3 commits (all time) y: 51 lines of code src/operator/tensor/matrix_op-inl.h x: 25 commits (all time) y: 1533 lines of code src/operator/pad.cc x: 9 commits (all time) y: 616 lines of code src/operator/batch_norm-inl.h x: 97 commits (all time) y: 357 lines of code src/operator/batch_norm.cu x: 13 commits (all time) y: 572 lines of code src/operator/batch_norm_v1-inl.h x: 2 commits (all time) y: 311 lines of code src/operator/batch_norm_v1.cu x: 2 commits (all time) y: 15 lines of code src/operator/cudnn_batch_norm-inl.h x: 37 commits (all time) y: 315 lines of code src/operator/cudnn_batch_norm.cu x: 40 commits (all time) y: 18 lines of code 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