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

Dolly Ye · web-flow · commit 9beffbc7eb19 · 2018-02-17T22:52:07.000-08:00
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.
diff --git 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"
    ]

Original file line number	Diff line number	Diff line change
`@@ -41,7 +41,7 @@`
`41`	`41`	`"metadata": {},`
`42`	`42`	`"outputs": [],`
`43`	`43`	`"source": [`
`44`		`- "x = torch.linspace(-5, 5, 200) # x data (tensor), shape=(100, 1)\n",`
	`44`	`+ "x = torch.linspace(-5, 5, 200) # x data (tensor), shape=(200, 1)\n",`
`45`	`45`	`"x = Variable(x)\n",`
`46`	`46`	`"x_np = x.data.numpy() # numpy array for plotting"`
`47`	`47`	`]`