%?Updated?decode_sparse_quantized_net.m?to?match
%?encode_sparse_quantized_net_v2.m
function?decode_sparse_quantized_net_v2（non_wq_prototxt?sqnet_dat）

net?=?caffe.Net（non_wq_prototxt?‘test‘）;

fid?=?fopen（sqnet_dat?‘r‘）;

for?j?=?1?:?length（net.layer_names）
????if?~isempty（net.layers（net.layer_names{j}）.params）
????????is_quantized?=?fread（fid?1）;
????????if?is_quantized
????????????if?length（net.layers（net.layer_names{j}）.params）?==?2
????????????????%?Read?count?of?bias?terms?then?bias?terms?as?floats
????????????????n?=?fread（fid?1?‘single‘）;
????????????????bias?=?fread（fid?n?‘single‘）;
????????????????net.layers（net.layer_names{j}）.params（2）.set_data（bias）;
????????????end

????????????%?Read?count?of?codewords?then?codewords?as?floats
????????????n?=?fread（fid?1?‘single‘）;
????????????codewords?=?fread（fid?n?‘single‘）;

????????????%?Read?‘diff‘?and?‘value‘?arrays?（Fig.?2?in?Han?et?al.?2016）
????????????n?=?fread（fid?1?‘single‘）;?%?length?of?diff/value?arrays?
????????????best_c?=?fread（fid?1）;
????????????b?=?fread（fid?1）;
????????????diffs_bin?=?fread（fid?ceil（n*best_c/8）?‘*uint8‘）;
????????????values_bin?=?fread（fid?ceil（n*b/8）?‘*uint8‘）;
????????????diffs?=?unpack_bit_vector（diffs_bin?best_c）?+?1;
????????????values?=?unpack_bit_vector（values_bin?b）;
????????????assert（length（diffs）?>=?n?&&?length（values）?>=?n）;

????????????%?Decode?weights
????????????w_decoded?=?zeros（size（net.layers（net.layer_names{j}）.params（1）.get_data））;
????????????pos?=?0;
????????????for?k?=?1?:?n
????????????????pos?=?pos?+?diffs（k）;
????????????????if?values（k）?>?0
????????????????????w_decoded（pos）?=?codewords（values（k））;
????????????????end
????????????end
????????????net.layers（net.layer_names{j}）.params（1）.set_data（w_decoded）;
????????else
????????????for?k?=?1?:?length（net.layers（net.layer_names{j}）.params）
????????????????w?=?net.layers（net.layer_names{j}）.params（k）.get_data;
????????????????if?ndims（w）?==?4?&&?size（w1）?==?1?&&?size（w2）?==?1
????????????????????w（11::）?=?fread（fid?[size（w3）?size（w4）]?‘*single‘）;
????????????????else
????????????????????w?=?fread（fid?size（w）?‘*single‘）;
????????????????end
????????????????net.layers（net.layer_names{j}）.params（k）.set_data（w）;
????????????end
????????end
????????fprintf（‘Finished?decoding?%s\n‘?net.layer_names{j}）;
????end
end
net.save（‘decoded_net.caffemodel‘）;
caffe.reset_all（）;
fclose（fid）;

end

%?%?Packs?integer?values?between?0?and?2^（b-1）?into?bit?string
%?function?B?=?pack_bit_vector（values?b）
%?
%?B?=?zeros（ceil（length（values）*b/8）?1?‘uint8‘）;
%?m?=?1;
%?for?k?=?1?:?length（values）
%?????s?=?dec2bin（values（k）?b）;
%?????assert（length（s）?<=?b）
%?????for?l?=?1?:?b
%?????????if?s（l）?==?‘1‘
%?????????????row?=?ceil（m/8）;
%?????????????col?=?mod（m-18）+1;
%?????????????B（row）?=?bitset（B（row）?col）;
%?????????end
%?????????m?=?m?+?1;
%?????end
%?end
%?
%?end

function?values?=?unpack_bit_vector（B?b）

values?=?zeros（floor（length（B）*8/b）?1）;
m?=?1;
for?i?=?1?:?le

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-03-22?16:35??caffe-files\
?????目錄???????????0??2018-01-11?16:54??caffe-files\include\
?????目錄???????????0??2018-01-11?16:54??caffe-files\include\caffe\
?????目錄???????????0??2018-01-11?16:54??caffe-files\include\caffe\layers\
?????文件????????2826??2017-07-18?16:30??caffe-files\include\caffe\layers\weight_quant_conv_layer.hpp
?????文件????????1968??2017-07-18?16:30??caffe-files\include\caffe\layers\weight_quant_inner_product_layer.hpp
?????目錄???????????0??2018-01-11?16:54??caffe-files\include\caffe\util\
?????文件?????????740??2017-07-31?17:02??caffe-files\include\caffe\util\eh_functions.hpp
?????文件????????1178??2018-03-22?16:15??caffe-files\instructions.txt
?????目錄???????????0??2018-01-11?16:53??caffe-files\src\
?????目錄???????????0??2018-01-11?16:53??caffe-files\src\caffe\
?????目錄???????????0??2018-03-22?16:10??caffe-files\src\caffe\layers\
?????文件???????12510??2017-08-10?15:12??caffe-files\src\caffe\layers\weight_quant_conv_layer.cpp
?????文件????????5727??2018-03-22?16:07??caffe-files\src\caffe\layers\weight_quant_conv_layer.cu
?????文件????????8016??2017-08-10?15:12??caffe-files\src\caffe\layers\weight_quant_inner_product_layer.cpp
?????文件????????4281??2018-03-22?16:10??caffe-files\src\caffe\layers\weight_quant_inner_product_layer.cu
?????目錄???????????0??2018-01-11?16:58??caffe-files\src\caffe\util\
?????文件???????12288??2018-01-11?16:58??caffe-files\src\caffe\util\eh_functions.cu
?????文件????????3214??2017-12-02?15:21??decode_sparse_quantized_net_v2.m
?????文件????????4480??2017-12-02?14:50??encode_sparse_quantized_net_v2.m
?????文件????????2226??2018-01-08?12:52??get_layer_storage_req.m
?????目錄???????????0??2017-04-03?10:35??mlcircus-bayesopt\
?????文件?????????174??2015-04-03?10:02??mlcircus-bayesopt\.hg_archival.txt
?????文件?????????215??2015-04-03?10:02??mlcircus-bayesopt\README.md
?????文件???????18772??2015-04-03?10:02??mlcircus-bayesopt\bayesopt.m
?????目錄???????????0??2017-04-03?10:35??mlcircus-bayesopt\demo\
?????文件?????????419??2015-04-03?10:02??mlcircus-bayesopt\demo\defaultopt.m
?????文件????????2539??2015-04-03?10:02??mlcircus-bayesopt\demo\demo.m
?????文件?????????846??2015-04-03?10:02??mlcircus-bayesopt\demo\samplef.m
?????目錄???????????0??2017-04-03?10:35??mlcircus-bayesopt\gpml\
?????文件???????????8??2015-04-03?10:02??mlcircus-bayesopt\gpml\.octaverc
............此處省略208個文件信息