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# TensorFlow
TensorFlow is an open-source software library for machine intelligence.
For searching available modules type:
```console
$ ml av Tensorflow
```
Anselm provides beside others these three different TensorFlow modules:
**Tensorflow/1.1.0** (CPU only, not recommended), module built with:
**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 provides beside others these three different TensorFlow modules:
**Tensorflow/1.1.0** (not recommended), module built with:
**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
After loading one of the available TensorFlow modules, you can check the functionality running the following python script.
```python
import tensorflow as tf
c = tf.constant('Hello World!')
sess = tf.Session()
print(sess.run(c))
```