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Neural-Network-Model-Compressing
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Name
Complexity
Churn
Issues
A
src\caffe\layers\lstm_layer.cpp
9 1 -
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include\caffe\util\db_leveldb.hpp
16 1 -
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src\caffe\layers\lstm_unit_layer.cu
 1 -
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examples\mnist\train_lenet.sh
 2 -
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src\caffe\layers\multinomial_logistic_loss_layer.cpp
7 1 -
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include\caffe\util\device_alternate.hpp
0 1 -
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src\caffe\layers\mvn_layer.cu
 1 -
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include\caffe\layers\contrastive_loss_layer.hpp
4 1 -
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src\caffe\layers\parameter_layer.cpp
0 1 -
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include\caffe\util\gpu_util.cuh
 1 -
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src\caffe\layers\pooling_layer.cu
 1 -
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compression_scripts\data_reader.cpp
31 2 1
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src\caffe\layers\cudnn_lrn_layer.cpp
4 1 -
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include\caffe\util\im2col.hpp
0 1 -
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.github\workflows\snorkell-auto-documentation.yml
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compression_scripts\compress_2power_model.py
 1 1
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compression_scripts\dns_to_normal.py
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data\ilsvrc12\get_ilsvrc_aux.sh
 1 -
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examples\finetune_flickr_style\assemble_data.py
5 1 3
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include\caffe\internal_thread.hpp
2 1 -