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# TensorFlow
TensorFlow is an open-source software library for machine intelligence.
## TensorFlow modules
Anselm provides three different TensorFlow modules:
* Tensorflow/1.1.0
* Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1
* Tensorflow/1.1.0-CUDA-8.0.44-Python-3.6.1
### Tensorflow/1.1.0 (CPU only)
TensorFlow 1.1 build.
```console
$ ml Tensorflow/1.1.0
```
This module was built with:
* GCC/4.9.3
* Python/3.6.1
### Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1 (GPU enabled)
TensorFlow 1.1 with GPU support.
```console
$ ml Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1
```
This module was 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)
TensorFlow 1.1 with GPU support.
```console
$ ml Tensorflow/1.1.0-CUDA-8.0.44-Python-3.6.1
```
This module was built with:
* GCC/4.9.3
* Python/3.6.1
* CUDA/8.0.44
* cuDNN/5.1-CUDA-8.0.44
## TensorFlow application example
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))
```