short-circuit-torch

Name	short-circuit-torch JSON
Version	0.0.1 JSON
	download
home_page	https://github.com/kyegomez/ShortCircuit
Summary	Paper - Pytorch
upload_time	2024-08-20 23:56:03
maintainer	None
docs_url	None
author	Kye Gomez
requires_python	<4.0,>=3.10
license	MIT
keywords	artificial intelligence deep learning optimizers prompt engineering
VCS
bugtrack_url
requirements	torch zetascale einops
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            [![Multi-Modality](agorabanner.png)](https://discord.com/servers/agora-999382051935506503)


# ShortCircuit


## Install



## Example

```python
import torch 
from shortcircuit.main import ShortCircuitNet

# Create an instance of the ShortCircuitNet model with the specified parameters
model = ShortCircuitNet(512, 6, 8, 64, 2048, 0.1)

# Generate a random input tensor of shape (1, 512, 512)
input_tensor = torch.randn(1, 512, 512)

# Pass the input tensor through the model to get the output tensor
output_tensor = model(input_tensor)

# Print the output tensor
print(output_tensor)
```



# Missing
Input Sequence:
Node Hidden
Embeddings
Target Sequence:
Target Hidden
Embedding


# License
MIT

            

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