# Generator

Source: https://www.tensorplay.cn/docs/generated/tensorplay.Generator.html

```python
class tensorplay.Generator(device='cpu') → Generator
```

Creates and returns a generator object that manages the state of the algorithm which
produces pseudo random numbers. Used as a keyword argument in many in-place random sampling
functions.

Parameters:

device ([tensorplay.device](/docs/generated/tensorplay.Device.html#tensorplay.Device), optional) – the desired device for the generator.

Returns:

An tensorplay.Generator object.

Return type:

[Generator](#tensorplay.Generator)

Example:

```
>>> g_cpu = tensorplay.Generator()
>>> g_cuda = tensorplay.Generator(device='cuda')
```

```python
property device
```

Generator.device -> device

Gets the current device of the generator.

Example:

```
>>> g_cpu = tensorplay.Generator()
>>> g_cpu.device
device(type='cpu')
```

```python
get_state(self: tensorplay._C.Generator) → tensorplay::Tensor
```

```python
initial_seed(self: tensorplay._C.Generator) → int
```

```python
manual_seed(self: tensorplay._C.Generator, seed: SupportsInt | SupportsIndex) → int
```

```python
seed(self: tensorplay._C.Generator) → int
```

```python
set_state(self: tensorplay._C.Generator, new_state: tensorplay::Tensor) → None
```