tensorflow.md

TensorFlow

TensorFlow is an open-source software library for machine intelligence. For searching available modules type:

$ ml av Tensorflow

Anselm Modules

Anselm provides beside others these three different TensorFlow modules:

Tensorflow/1.1.0 (CPU only, not recommended), module built with:

• GCC/4.9.3
• Python/3.6.1

Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1 (GPU enabled), module built with:

• GCC/4.9.3
• Python/3.6.1
• CUDA/7.5.18
• cuDNN/5.1-CUDA-7.5.18

Tensorflow/1.1.0-CUDA-8.0.44-Python-3.6.1 (GPU enabled), module built with:

• GCC/4.9.3
• Python/3.6.1
• CUDA/8.0.44
• cuDNN/5.1-CUDA-8.0.44

Salomon Modules

Salomon provides beside others these three different TensorFlow modules:

Tensorflow/1.1.0 (not recommended), module built with:

• GCC/4.9.3
• Python/3.6.1

Tensorflow/1.2.0-GCC-7.1.0-2.28 (default, recommended), module built with:

• TensorFlow 1.2 with SIMD support. TensorFlow build taking advantage of the Salomon CPU architecture.
• GCC/7.1.0-2.28
• Python/3.6.1
• protobuf/3.2.0-GCC-7.1.0-2.28-Python-3.6.1

Tensorflow/1.2.0-intel-2017.05-mkl (TensorFlow 1.2 with MKL support), module built with:

• icc/2017.4.196-GCC-7.1.0-2.28
• Python/3.6.1
• protobuf/3.2.0-GCC-7.1.0-2.28-Python-3.6.1

TensorFlow Application Example

After loading one of the available TensorFlow modules, you can check the functionality running the following python script.

import tensorflow as tf

c = tf.constant('Hello World!')
sess = tf.Session()
print(sess.run(c))