superduper_torch
Superduper allows users to work with arbitrary torch models, with custom pre-, post-processing and input/ output data-types, as well as offering training with superduper
Installation
pip install superduper_torch
API
| Class | Description |
|---|---|
superduper_torch.model.TorchModel |
Torch model. This class is a wrapper around a PyTorch model. |
superduper_torch.training.TorchTrainer |
Configuration for the PyTorch trainer. |
Examples
TorchModel
import torch
from superduper_torch.model import TorchModel
model = TorchModel(
object=torch.nn.Linear(32, 1),
identifier="test",
preferred_devices=("cpu",),
postprocess=lambda x: int(torch.sigmoid(x).item() > 0.5),
)
model.predict(torch.randn(32))
Training Example
Read more about this here
1 maintainer
Metadata
1 maintainer
Release files for superduper-torch 0.10.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| superduper_torch-0.10.0.tar.gz | 18.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| superduper_torch-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.9 kB
Release files / superduper_torch-0.10.0.tar.gz
| Download URL | superduper_torch-0.10.0.tar.gz |
|---|---|
| Size | 18.2 kB |
| Tags | Source |
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| Size | 17.7 kB |
| Tags | Python 3 |
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|
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