semvec/pypi-packages huggingface dataset:
bitgeist 0.1.3
bitgeist is a Python library to convert deep neural network models into c source code.
Requires Python: >=3.7.12,<4.0.0

# bitgeist

bitgeist is a Python library to convert deep neural network models into c source code.


## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install bitgeist.

```bash
pip install bitgeist
```

## Usage

```python
import bitgeist as bg

# transform a pytorch model to c code
print(bg.transform(model))

```

Example:

````python
    ...
    class MnistModel(nn.Module):

        def __init__(self, downsample=None):
            super(MnistModel, self).__init__()

            inputs = 28 * 28
            hidden = 120
            output = 10

            self.l1 = DenseBlock(inputs, hidden, downsample=downsample)
            self.action = nn.PReLU(hidden)
            self.l2 = DenseBlock(hidden, output, downsample=downsample)

        def forward(self, x):
            out = self.l1(x)
            out = self.action(out)
            out = self.l2(out)
            return out

    model = MnistModel(nn.Dropout(0.2)).to(device)

    # train the model 
    
    ...
    
    print("total training time = {} hours".format(training_time))

    print(bg.transform(model)) #print or write to file ...
   ...
````

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License

[MIT](https://choosealicense.com/licenses/mit/)