python-pytorchHow can I use Python and PyTorch to create a Unity game?

Creating a Unity game with Python and PyTorch is possible with the help of the PyTorch for Unity package. This package allows developers to write Python code and use PyTorch to create and train deep learning models that can be used in Unity games.

Example code

import torch
import torch.nn as nn

# Create a neural network
class Net(nn.Module):
    def __init__(self):
        super(Net, self).__init__()
        self.fc1 = nn.Linear(4, 10)
        self.fc2 = nn.Linear(10, 10)
        self.fc3 = nn.Linear(10, 2)

    def forward(self, x):
        x = F.relu(self.fc1(x))
        x = F.relu(self.fc2(x))
        x = self.fc3(x)
        return x

# Initialize the model
model = Net()

# Train the model
optimizer = torch.optim.Adam(model.parameters(), lr=0.001)

for epoch in range(1000):
    optimizer.zero_grad()
    output = model(x)
    loss = criterion(output, y)
    loss.backward()
    optimizer.step()

The trained model can then be used in Unity games by connecting it to the PyTorch for Unity package. This package provides a set of APIs that allow developers to use the model in their Unity games.

Code explanation

• import torch: Imports the PyTorch library.
• import torch.nn as nn: Imports the PyTorch neural network library.
• class Net(nn.Module):: Defines a neural network class.
• self.fc1 = nn.Linear(4, 10): Creates a linear layer with 4 inputs and 10 outputs.
• self.fc2 = nn.Linear(10, 10): Creates a linear layer with 10 inputs and 10 outputs.
• self.fc3 = nn.Linear(10, 2): Creates a linear layer with 10 inputs and 2 outputs.
• model = Net(): Initializes the neural network model.
• optimizer = torch.optim.Adam(model.parameters(), lr=0.001): Creates an optimizer for training the model.
• output = model(x): Runs the model on the input data.
• loss = criterion(output, y): Calculates the loss of the model.
• loss.backward(): Calculates the gradients of the model.
• optimizer.step(): Updates the model parameters.

Helpful links

• PyTorch for Unity
• Getting Started with PyTorch for Unity

Edit this code on GitHub