library(torch) # creates example tensors. x requires_grad = TRUE tells that # we are going to take derivatives over it. x <- torch_tensor(3, requires_grad = TRUE) y <- torch_tensor(2) # executes the forward operation x^2 o <- x^2 # computes the backward operation for each tensor that is marked with # requires_grad = TRUE o$backward() # get do/dx = 2 * x (at x = 3) x$grad

```
## torch_tensor
## 6
## [ CPUFloatType{1} ]
```

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