Torch Genius 🔥-PyTorch AI Assistant

Example

Providing detailed code snippets for building a convolutional neural network (CNN) for image classification, including explanations of each step.

Scenario

A user new to PyTorch wants to understand how to create and train a CNN. Torch Genius 🔥 offers a step-by-step guide, from defining the model architecture to training and evaluating the model.

Example

Identifying and offering solutions to common errors such as mismatched tensor dimensions or incorrect data preprocessing.

Scenario

An intermediate user encounters a runtime error when trying to train their model. Torch Genius 🔥 provides insights into possible causes and suggests modifications to fix the issue.

Example

Advising on best practices for model optimization, including efficient data loading, model quantization, and leveraging hardware accelerations.

Scenario

An advanced user seeks to reduce the inference time of their model for a real-time application. Torch Genius 🔥 suggests several optimization techniques tailored to their specific use case.