mcdnn

What problem does it solve?

This Skill facilitates high-performance GPU-based deep neural network computations, streamlining both training and inference workflows.

Core Features & Use Cases

• Core Operator Optimization: Provides highly optimized implementations of convolutions, pooling, activations, normalization, and softmax for deep learning models.
• Application Scope: Suitable for CNN training, inference deployment, and deep learning framework acceleration across various AI tasks.
• Use Case: Enable rapid prototyping of neural networks by utilizing mcDNN's core API for convolutional layers and activation functions with minimal setup.

Quick Start

Use the mcDNN skill to perform a 2D convolution forward pass with specified tensor dimensions.