The remix and reactivate (RR) Block for PyTorch
Project description
Remix and Reactivate (RR)
The remix and reactivate (RR) Block official implementation for PyTorch.
Installation
You can install this package using pip:
pip install rr-block
Usage
Here is a simple example of how to use the RR block in your PyTorch model:
import torch
import torch.nn as nn
from rr_block import RR
class SimpleModel(nn.Module):
def __init__(self, input_dim, output_dim):
super(SimpleModel, self).__init__()
self.fc1 = nn.Linear(input_dim, 128)
self.rr = RR(128, [nn.ReLU(), nn.Sigmoid()])
self.fc2 = nn.Linear(128, output_dim)
def forward(self, x):
x = torch.relu(self.fc1(x))
x = self.rr(x)
x = self.fc2(x)
return x
Build and Development
To build the package from source, you can use the following commands:
pip install -e .
This will install the package in editable mode, allowing you to make changes to the source code and have them reflected in your Python environment.
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