[MRG] Update tests and documentation (#484)

* remove old macos and windows tets update requirements

* speedup ssw and continuaous ot exmaples

* speedup regpath and variane

* speedup conv 2d example + continuous stick

* speedup regpath

1 files changed, 6 insertions, 6 deletions

diff --git a/examples/backends/plot_ssw_unif_torch.py b/examples/backends/plot_ssw_unif_torch.py
index afe3fa6..7459cf6 100644
--- a/examples/backends/plot_ssw_unif_torch.py
+++ b/examples/backends/plot_ssw_unif_torch.py
@@ -35,7 +35,7 @@ import ot
 
 torch.manual_seed(1)
 
-N = 1000
+N = 500
 x0 = torch.rand(N, 3)
 x0 = F.normalize(x0, dim=-1)
 
@@ -72,8 +72,8 @@ ax.legend()
 x = x0.clone()
 x.requires_grad_(True)
 
-n_iter = 500
-lr = 100
+n_iter = 100
+lr = 150
 
 losses = []
 xvisu = torch.zeros(n_iter, N, 3)
@@ -82,7 +82,7 @@ for i in range(n_iter):
     sw = ot.sliced_wasserstein_sphere_unif(x, n_projections=500)
     grad_x = torch.autograd.grad(sw, x)[0]
 
-    x = x - lr * grad_x
+    x = x - lr * grad_x / np.sqrt(i / 10 + 1)
     x = F.normalize(x, p=2, dim=1)
 
     losses.append(sw.item())
@@ -102,7 +102,7 @@ pl.xlabel("Iterations")
 # Plot trajectories of generated samples along iterations
 # -------------------------------------------------------
 
-ivisu = [0, 25, 50, 75, 100, 150, 200, 350, 499]
+ivisu = [0, 10, 20, 30, 40, 50, 60, 70, 80]
 
 fig = pl.figure(3, (10, 10))
 for i in range(9):
@@ -149,5 +149,5 @@ ax.set_ylim((-1.5, 1.5))
 ax.set_title('Iter. {}'.format(ivisu[i]))
 
 
-ani = animation.FuncAnimation(pl.gcf(), _update_plot, n_iter // 5, interval=100, repeat_delay=2000)
+ani = animation.FuncAnimation(pl.gcf(), _update_plot, n_iter // 5, interval=200, repeat_delay=2000)
 # %%