It seems like you're trying to find the derivative of the function $ y = 2x^3+x $ at the point $x=1$ using PyTorch, a Python library. Here's how you can do it:

1. First, you need to define the variable `x` as a tensor with the value of 1.0 and set `requires_grad=True` to track computation with it:

```python
import torch

x = torch.tensor(1.0, requires_grad=True)
```

2. Then, define the function `y`:

```python
y = 2 * x ** 3 + x
```

3. After defining the function, you can calculate the gradients by calling `.backward()` on `y`:

```python
y.backward()
```

4. Finally, you can print the derivative at the point x=1 by printing `x.grad`:

```python
print(x.grad)
```

This will give you the derivative of the function $ y = 2x^3+x $ at the point $x=1$.

Note: `y.grad` will give you `None` because `y` is not a scalar. Gradients are only available for scalar outputs.

Question

It seems like you're trying to find the derivative of the function $ y = 2x^3+x $ at the point $x=1$ using PyTorch, a Python library. Here's how you can do it:

1. First, you need to define the variable `x` as a tensor with the value of 1.0 and set `requires_grad=True` to track computation with it:

```python
import torch

x = torch.tensor(1.0, requires_grad=True)
```

2. Then, define the function `y`:

```python
y = 2 * x ** 3 + x
```

3. After defining the function, you can calculate the gradients by calling `.backward()` on `y`:

```python
y.backward()
```

4. Finally, you can print the derivative at the point x=1 by printing `x.grad`:

```python
print(x.grad)
```

This will give you the derivative of the function $ y = 2x^3+x $ at the point $x=1$.

Note: `y.grad` will give you `None` because `y` is not a scalar. Gradients are only available for scalar outputs.

Knowee AI · Accepted Answer