Commit 47a1a4ad authored by maxwelltsai's avatar maxwelltsai

Updated for TensorFlow

parent 2b69267a
......@@ -338,8 +338,8 @@ There are many open-source datasets available for benchmarking TensorFlow, such
- Website:
- Code download:
- [Prerequisites installation](tensorflow#prerequisites-installation)
- [Test Case A](tensorflow/Testcase_A)
- [Test Case B](tensorflow/Testcase_B)
- [Test Case C](tensorflow/Testcase_C)
- [Prerequisites installation](tensorflow/
- [Test Case A](tensorflow/Testcase_A/)
- [Test Case B](tensorflow/Testcase_B/)
- [Test Case C](tensorflow/Testcase_C/)
## Prerequisites Installation
The prerequsities consists of a list of python packages as shown below. It is recommended to create a python virtual environment (either with `pyenv` or `conda`). The following packages can be installed using the `pip` package management tool:
pip install tensorflow
pip install horovod
pip install scikit-learn
pip install scikit-image
pip install pandas
Note: there is no guarantee of optimal performance when `tensorflow` is installed using `pip`. It is better if `tensorflow` is compiled from source, in which case the compiler will likely be able to take advantage of the advanced instruction sets supported by the processor (e.g., AVX512). An official build instruction can be found at Sometimes, an HPC center may have a tensorflow module optimized for their hardware, in which case the `pip install tensorflow` line can be replaced with a line like `module load <name_of_the_tensorflow_module>`.
Markdown is supported
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment