in 0422_FFNetworksWithPytorch

i’m facing this error and i looked on stackoverflow but couldn’t solve this.

```
AttributeError Traceback (most recent call last)
<ipython-input-25-5ecc76e33fa6> in <module>()
12 epochs = 10000
13
---> 14 X_train = X_train.float()
15 Y_train = Y_train.long()
16
AttributeError: 'numpy.ndarray' object has no attribute 'float'
```

**How do we convert ndarray to float. I tried .astype(float) but it resulted in other error while computing model function.**

```
19
20 for epoch in range(epochs):
---> 21 y_hat = model(X_train)
22 loss = loss_fn(y_hat, Y_train)
23 loss.backward()
<ipython-input-23-62d5caab50b6> in model(x)
1 # now wo do the forward propagation.
2 def model(x):
----> 3 a1 = torch.matmul(x, weights1) + bias1 # (N, 2) x (2, 2) -> (N, 2)
4 h1 = a1.sigmoid() # (N, 2)
5 a2 = torch.matmul(h1, weights2) + bias2 # (N, 2) x (2, 4) -> (N, 4)
TypeError: matmul(): argument 'input' (position 1) must be Tensor, not numpy.ndarray
```