What happens to the tensor when I change its type from **Float** to **Long**

This is supposed to be a segmentation mask of an image, and it gets completely wrecked when I change it to LongTensor.

What happens to the tensor when I change its type from **Float** to **Long**

This is supposed to be a segmentation mask of an image, and it gets completely wrecked when I change it to LongTensor.

Since you are working with floating point values, you would have to be careful about transforming these values to `long`

, as you might lose all information.

E.g. assuming your tensor contains values in `[0, 1]`

converting them to `long`

could round all values to 0:

```
x = np.random.uniform(0, 1, (100, 100, 3))
plt.imshow(x) # shows valid image
plt.imshow(x.astype(np.int64)) # blank image
print(np.unique(x.astype(np.int64)))
> array([0], dtype=int64)
```