_joker
#1
I’m looking for an equivalent of TensorFlow in Pytorch

```
binary_test = tf.cast(binary > 0.5, tf.float32)
```

I tried;

```
binary_test = binary.type(float32)
binary_test = torch.where(binary_test > 0.5, x, y)
```

where, `x = Tensor([1]), y = Tensor([0])`

On doing so the python kernel crashes.

The posted code should generally work:

```
binary = torch.randint(0, 2, (10,)).byte()
binary_test = binary.type(torch.float32)
binary_test = torch.where(binary_test > 0.5, torch.tensor([1.]), torch.tensor([0.]))
```

Note that I had to fix the `float32`

to `torch.float32`

and am not sure if it’s a copy-paste issue or if you might be running into this error.

Could you post the values of `binary`

, which create this error please?