From be5eb910d4e8f91a7162c523a2d390d01a41a12d Mon Sep 17 00:00:00 2001 From: Guillaume Lagrange Date: Fri, 9 Aug 2024 15:23:47 -0400 Subject: [PATCH] Remove CubeCL GELU kernel example reference (moved to CubeCL repo) (#2150) --- README.md | 1 - burn-book/src/examples.md | 1 - 2 files changed, 2 deletions(-) diff --git a/README.md b/README.md index 05e155ab0..d3570c89f 100644 --- a/README.md +++ b/README.md @@ -545,7 +545,6 @@ Additional examples: dataset following a simple folder structure. - [Custom Renderer](./examples/custom-renderer) : Implements a custom renderer to display the [`Learner`](./building-blocks/learner.md) progress. -- [Simple CubeCL Kernel](./examples/gelu) : Implements a simple GELU kernel with `CubeCL`. - [Image Classification Web](./examples/image-classification-web) : Image classification web browser demo using Burn, WGPU and WebAssembly. - [MNIST Inference on Web](./examples/mnist-inference-web) : An interactive MNIST inference demo in diff --git a/burn-book/src/examples.md b/burn-book/src/examples.md index 0f5083a57..677d7118a 100644 --- a/burn-book/src/examples.md +++ b/burn-book/src/examples.md @@ -77,7 +77,6 @@ The following additional examples are currently available if you want to check t | [Regression](https://github.com/tracel-ai/burn/tree/main/examples/simple-regression) | Trains a simple MLP on the CSV dataset for the regression task. | | [Custom Image Dataset](https://github.com/tracel-ai/burn/tree/main/examples/custom-image-dataset) | Trains a simple CNN on custom image dataset following a simple folder structure. | | [Custom Renderer](https://github.com/tracel-ai/burn/tree/main/examples/custom-renderer) | Implements a custom renderer to display the [`Learner`](./building-blocks/learner.md) progress. | -| [Simple CubeCL Kernel](https://github.com/tracel-ai/burn/tree/main/examples/gelu) | Implements a simple GELU kernel with `CubeCL`. | | [Image Classification Web](https://github.com/tracel-ai/burn/tree/main/examples/image-classification-web) | Image classification web browser demo using Burn, WGPU and WebAssembly. | | [MNIST Inference on Web](https://github.com/tracel-ai/burn/tree/main/examples/mnist-inference-web) | An interactive MNIST inference demo in the browser. The demo is available [online](https://burn.dev/demo/). | | [MNIST Training](https://github.com/tracel-ai/burn/tree/main/examples/mnist) | Demonstrates how to train a custom [`Module`](./building-blocks/module.md) (MLP) with the [`Learner`](./building-blocks/learner.md) configured to log metrics and keep training checkpoints. |