DistributedCNN

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

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
.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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