OS: CENTOS 6.8 (No root access)
GCC: locally installed 5.2.0 (Cluster default is 4.4.7)
Bazel: 0.4.0-2016-11-06 (@fa407e5)
Tensorflow: v0.11.0rc2
CUDA: 8.0
huyong huyong1109
taylorpaul
/ README.md
Last active
April 22, 2022 17:28
Installing Tensorflow on CENTOS 6.8 Cluster without Root Access
yaroslavvb
/ sharded_ps_benchmark.py
Last active
December 27, 2022 06:25
Example of local cluster with multiple workers/training loops sharded parameter server
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| #!/usr/bin/env python | |
| # Benchmark transferring data, part of troubleshooting https://github.com/tensorflow/tensorflow/issues/6116 | |
| # | |
| # Take a independent workers communicating with b parameter shards | |
| # Each worker tries to add to variables stored on parameter server as fast as | |
| # possible. | |
| # | |
| # macbook | |
| # ps=1: 1.6 GB/s | |
| # ps=2: 2.6 GB/s |
yaroslavvb
/ simple_barrier.py
Created
December 16, 2016 06:03
Example of using shared counters to implement Barrier primitive
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| """Example of barrier implementation using TensorFlow shared variables. | |
| All workers synchronize on barrier, copy global parameters to local versions | |
| and increment global parameter variable asynchronously. Should see something | |
| like this: | |
| bash> killall python | |
| bash> python simple_barrier.py --num_workers=4 | |
| worker 0, local_param 4 global_param 5 | |
| worker 2, local_param 4 global_param 7 |