TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Development tools and environments
tensorflow-2.0.0-gpu-python3 tensorflow-1.13.1-gpu-python3 tensorflow-1.7.1-gpu-python3 tensorflow-1.7.1-cpu-python3 tensorflow-1.5.0-gpu tensorflow-1.5.0-cpu-python3 tensorflow-1.4.1-gpu tensorflow-1.3.0-cpu tensorflow-1.3.0-cpu-python3 tensorflow-1.3.0-gpu tensorflow-1.3.0-gpu-python3
module add tensorflow-1.0.1-cpu (for CPU version of TensorFlow 1.0.1 in Python 2.7.6) module add tensorflow-1.0.1-cpu-python3 (for CPU version of TensorFlow 1.0.1 in Python 3.4.1) module add tensorflow-1.0.1-gpu (for GPU version of TensorFlow 1.0.1 in Python 2.7.6) module add tensorflow-1.0.1-gpu-python3 (for GPU version of TensorFlow 1.0.1 in Python 3.4.1)
Once you add the module that best suits your needs, the use is as simple as running python and importing the tensorflow module...
python >>> import tensorflow as tf >>> (etc.)