diff options
author | Brennan Saeta <saeta@google.com> | 2017-02-13 15:34:03 -0800 |
---|---|---|
committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-02-13 17:21:19 -0800 |
commit | 69d028435d3b10809f5bf34708e493233485e626 (patch) | |
tree | a779f8a0d4d0229d277248bd733595c41f875ee2 /tensorflow/contrib/integrate | |
parent | 3aa4b69be09dc47893ffcc6226d014dde759ea64 (diff) |
Documentation changes to adhere to new doc generator
Change: 147402290
Diffstat (limited to 'tensorflow/contrib/integrate')
-rw-r--r-- | tensorflow/contrib/integrate/__init__.py | 37 |
1 files changed, 1 insertions, 36 deletions
diff --git a/tensorflow/contrib/integrate/__init__.py b/tensorflow/contrib/integrate/__init__.py index c951efd3d9..7bcebbaffe 100644 --- a/tensorflow/contrib/integrate/__init__.py +++ b/tensorflow/contrib/integrate/__init__.py @@ -13,42 +13,7 @@ # limitations under the License. # ============================================================================== -"""Integration and ODE solvers for TensorFlow. - -## Example: Lorenz attractor - -We can use `odeint` to solve the -[Lorentz system](https://en.wikipedia.org/wiki/Lorenz_system) of ordinary -differential equations, a prototypical example of chaotic dynamics: - -```python -rho = 28.0 -sigma = 10.0 -beta = 8.0/3.0 - -def lorenz_equation(state, t): - x, y, z = tf.unstack(state) - dx = sigma * (y - x) - dy = x * (rho - z) - y - dz = x * y - beta * z - return tf.stack([dx, dy, dz]) - -init_state = tf.constant([0, 2, 20], dtype=tf.float64) -t = np.linspace(0, 50, num=5000) -tensor_state, tensor_info = tf.contrib.integrate.odeint( - lorenz_equation, init_state, t, full_output=True) - -sess = tf.Session() -state, info = sess.run([tensor_state, tensor_info]) -x, y, z = state.T -plt.plot(x, z) -``` - -<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> -<img style="width:100%" src="../../images/lorenz_attractor.png" alt> -</div> - -## Ops +"""Integration and ODE solvers. See the @{$python/contrib.integrate} guide. @@odeint """ |