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.idea
.idea
 
 
Model
Model
 
 
__pycache__
__pycache__
 
 
evaluate
evaluate
 
 
DataflowGraph.txt
DataflowGraph.txt
 
 
GetDensityMap.py
GetDensityMap.py
 
 
README.md
README.md
 
 
benchmark_grpc_recv.py
benchmark_grpc_recv.py
 
 
distributed_train.py
distributed_train.py
 
 
distributed_train_horovod.py
distributed_train_horovod.py
 
 
distributed_train_tweaked.py
distributed_train_tweaked.py
 
 
gpu_profile
gpu_profile
 
 
horovod_timeline_1worker.json
horovod_timeline_1worker.json
 
 
kill_process.py
kill_process.py
 
 
refined_test.py
refined_test.py
 
 
refined_train.py
refined_train.py
 
 
run_horovod.sh
run_horovod.sh
 
 
script_move_result.sh
script_move_result.sh
 
 
scripts
scripts
 
 
show_density_map.py
show_density_map.py
 
 
show_predicted_map.py
show_predicted_map.py
 
 
stats.py
stats.py
 
 
testrun.py
testrun.py
 
 
training_naive.py
training_naive.py
 
 

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DistributedCNN

This project aims at finding the better distributed training architecture between Parameter Server (Standard distributed TensorFlow) and Ring Allreduce (Horovod).

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convolutional-neural-networks distributed-tensorflow horovod distributed-learning

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