tensorflow 1.5模型减枝

[{"title":"（ 32 个子文件 9.08MB ） tensorflow 1.5模型减枝","children":[{"title":"Tensorflow1.15-Model-Pruning-main","children":[{"title":"pic","children":[{"title":"Inverted_residual_block_soft-pruning.png <span style='color:#111;'> 363.03KB </span>","children":null,"spread":false},{"title":"SEblock_strip.png <span style='color:#111;'> 348.39KB </span>","children":null,"spread":false},{"title":"Inverted_residual_block_pruned.png <span style='color:#111;'> 114.28KB </span>","children":null,"spread":false},{"title":"SEblock_nonpruned.png <span style='color:#111;'> 83.49KB </span>","children":null,"spread":false},{"title":"Inverted_residual_block_strip.png <span style='color:#111;'> 447.87KB </span>","children":null,"spread":false},{"title":"SEblock_pruned.png <span style='color:#111;'> 83.90KB </span>","children":null,"spread":false},{"title":"SEblock_soft-pruning.png <span style='color:#111;'> 280.14KB </span>","children":null,"spread":false},{"title":"Inverted_residual_block_nonpruned.png <span style='color:#111;'> 126.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"src","children":[{"title":"pkl_view.py <span style='color:#111;'> 616B </span>","children":null,"spread":false},{"title":"model_meta_export.py <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"strip_get_params.py <span style='color:#111;'> 7.32KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"tf1pruning.cpython-36.pyc <span style='color:#111;'> 17.14KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 362B </span>","children":null,"spread":false}],"spread":true},{"title":"train_pruning_class.py <span style='color:#111;'> 16.04KB </span>","children":null,"spread":false},{"title":"tf1pruning.py <span style='color:#111;'> 40.62KB </span>","children":null,"spread":false},{"title":"strip_ckpt_byvars.py <span style='color:#111;'> 12.17KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 196B </span>","children":null,"spread":false},{"title":"pruning_ckpt_byvars.py <span style='color:#111;'> 9.33KB </span>","children":null,"spread":false},{"title":"pruning_get_params.py <span style='color:#111;'> 6.82KB </span>","children":null,"spread":false},{"title":"rebuild_ckpt_export.py <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false}],"spread":false},{"title":"samples","children":[{"title":"Pruning_Vars","children":[{"title":"Strip_Nodes_Dict.pkl <span style='color:#111;'> 5.96KB </span>","children":null,"spread":false},{"title":"Strip_Vars_Dict.pkl <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false},{"title":"Bias_Vars_Dict.pkl <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"Conv_Vars_Dict.pkl <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"Scope_Conv_Dict.pkl <span style='color:#111;'> 869B </span>","children":null,"spread":false},{"title":"Pruned_Filters.pkl <span style='color:#111;'> 777B </span>","children":null,"spread":false}],"spread":true},{"title":"Rebuild_Graph","children":[{"title":"model.ckpt-993000.pbtxt <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"model.ckpt-993000.meta <span style='color:#111;'> 807.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"PB_model","children":[{"title":"strip_model.pb <span style='color:#111;'> 3.82MB </span>","children":null,"spread":false},{"title":"soft_pruning_model.pb <span style='color:#111;'> 6.42MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"googleabcf39a0cbadcffe.html <span style='color:#111;'> 53B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 9.87KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]