x = torch.linspace(-5,5,200), size [200]

y=torch.linspace(x1,x2) returns a one-dimensional tensor of size 100 equally spaced points between x1 and x2. y=torch.linspace(x1,x2,n) returns a one-dimensional tensor of n equally spaced points between x1 and x2.
2018-02-17 22:52:07 -08:00
parent 0b09c05dc8
commit 9beffbc7eb
1 changed files with 1 additions and 1 deletions
--- a/tutorial-contents-notebooks/203_activation.ipynb
+++ b/tutorial-contents-notebooks/203_activation.ipynb
@ -41,7 +41,7 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "x = torch.linspace(-5, 5, 200)  # x data (tensor), shape=(100, 1)\n",
+    "x = torch.linspace(-5, 5, 200)  # x data (tensor), shape=(200, 1)\n",
    "x = Variable(x)\n",
    "x_np = x.data.numpy()   # numpy array for plotting"
   ]