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Mastering the init method

In PyTorch Lightning, the __init__ method is the heart of your LightningModule setup. It's where you define model layers, parameters, and any initial configuration before training. By cleanly separating this setup step, PyTorch Lightning makes it easier to maintain and scale your projects. In this exercise, you'll focus on initializing the class for your classification model.

この演習はコースの一部です

Scalable AI Models with PyTorch Lightning

コースを見る

演習の手順

  • Create a class named ClassifierModel that inherits from pl.LightningModule.
  • Initialize the parent class to leverage LightningModule's capabilities.

実践的なインタラクティブ演習

このサンプルコードを完成させて、この演習に挑戦してみましょう。

import lightning.pytorch as pl
import torch.nn as nn

# Create the class
class ClassifierModel(____):
    # Create init method
    def __init__(self, input_dim, output_dim):
        ____
        self.classifier = nn.Linear(input_dim, output_dim)
コードを編集して実行