The TensorFlow benchmarks are open-source ML applications designed to test the performance of the TensorFlow framework.

You branch and download the TensorFlow benchmarks to your local environment. In Git, a branch is a separate line of development.

Procedure

  1. Install Git.
    sudo yum -y update
    sudo yum install git
  2. Create and make ~/bitfusion your working directory.
    mkdir bitfusion
    cd ~/bitfusion
  3. Clone the Git repository of Tensorflow benchmarks to your local environment.
    git clone https://github.com/tensorflow/benchmarks.git
  4. Navigate to the benchmarks directory and list branches of the repository.
    cd benchmarks
    git branch -a
    master
    remotes/origin/HEAD -> origin/master 
    ...
    remotes/origin/cnn_tf_v1.13_compatible
    ...
    remotes/origin/cnn_tf_v2.1_compatible
    ...
  5. Do a Git checkout and list the TensorFlow benchmarks repository.
    git checkout cnn_tf_v2.1_compatible
    Branch cnn_tf_v2.1_compatible set up to track remote branch cnn_tf_v2.1_compatible
    from origin.
    Switched to a new branch ‘cnn_tf_v2.1_compatible’
    git branch
    cnn_tf_tf_v2.1_compatible
    master

What to do next

You can run TensorFlow benchmarks to test your vSphere Bitfusion deployment's performance. See Run TensorFlow Benchmarks.