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benchmarks @ 8459a23
.gitignore Add fp16. Oct 10, 2018
.gitmodules add tf benchmarking as submodule Sep 28, 2018
LICENSE
README.md Make gpu_indices backward compatible. Oct 12, 2018
benchmark.sh Make gpu_indices backward compatible. Oct 12, 2018
report.sh Make gpu_indices backward compatible. Oct 12, 2018

README.md

This is the code used for a few of the blog posts on: https://lambdalabs.com/blog including:

Environment:

  • OS: Ubuntu 18.04
  • TensorFlow version: 1.11.0-rc1
  • CUDA Version 10.0
  • CUDNN Version 7.3.0

Step One: Clone benchmark repo

git clone https://github.com/lambdal/lambda-tensorflow-benchmark.git --recursive

Step Two: Run benchmark

  • Input proper gpu_indices (a comma seperated list, default 0) and num_iterations (default 10)
cd lambda-tensorflow-benchmark
./benchmark.sh gpu_indices num_iterations

Step Three: Report results

  • Check the repo directory for folder <cpu>-<gpu>.logs (generated by benchmark.sh)
  • Use the same num_iterations and gpu_indices for both benchmarking and reporting.
./report.sh <cpu>-<gpu>.logs num_iterations gpu_indices
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