torch.manual_seed(42)
t = torch.randn(100000)+3
plot(t)π View as a histogram
plot
plot (x:torch.Tensor, center:str='zero', max_s:int=10000, plt0:Any=True, ax:Optional[matplotlib.axes._axes.Axes]=None)
| Type | Default | Details | |
|---|---|---|---|
| x | Tensor | Tensor to explore | |
| center | str | zero | Center plot on zero, mean, or range |
| max_s | int | 10000 | Draw up to this many samples. =0 to draw all |
| plt0 | Any | True | Take zero values into account |
| ax | Optional | None | Optionally provide a matplotlib axes. |
| Returns | PlotProxy |
plot(t, center="range")plot(t, center="mean")plot(torch.nn.functional.relu(t-3))plot(torch.nn.functional.relu(t-3), plt0=False)fig, ax, = plt.subplots(figsize=(6, 2))
fig.tight_layout()
plot(t, ax=ax);