From 6fa93cc4dd40fe66072d320e2faa0efe7cddc1ee Mon Sep 17 00:00:00 2001 From: Alex Shraer Date: Sun, 29 Dec 2024 19:51:54 +0000 Subject: [PATCH] Update link to unit tests in Readme --- .github/workflows/AddLabel.yml | 2 +- README.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/AddLabel.yml b/.github/workflows/AddLabel.yml index fe9d28ce8..451668d24 100644 --- a/.github/workflows/AddLabel.yml +++ b/.github/workflows/AddLabel.yml @@ -16,7 +16,7 @@ name: Add Label on: workflow_run: - workflows: [Unit Test, CodeQL] + workflows: [Tests, CodeQL] types: - completed pull_request_review: diff --git a/README.md b/README.md index e6edd0ffa..ba5ae950c 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ --> -[![Unit Tests](https://github.com/google/maxtext/actions/workflows/UnitTests.yml/badge.svg)](https://github.com/google/maxtext/actions/workflows/UnitTests.yml) +[![Unit Tests](https://github.com/google/maxtext/actions/workflows/RunTests.yml/badge.svg)](https://github.com/google/maxtext/actions/workflows/RunTests.yml) # Overview @@ -49,7 +49,7 @@ Some extra helpful guides: * [Llama2](https://llama.meta.com/llama2/): a family of open-weights Large Language Model (LLM) by Meta. You can run decode and finetuning using [these instructions](getting_started/Run_Llama2.md). * [Mixtral](https://mistral.ai/news/mixtral-of-experts/): a family of open-weights sparse mixture-of-experts (MoE) model by Mistral AI. You can run decode and finetuning using [these instructions](end_to_end/tpu/mixtral/Run_Mixtral.md) -In addition to the getting started guides, there are always other MaxText capabilities that are being constantly being added! The full suite of end-to-end tests is in [end_to_end](end_to_end). We run them with a nightly cadence. They can be a good source for understanding MaxText Alternatively you can see the continuous [unit tests](.github/workflows/UnitTests.yml) which are run almost continuously. +In addition to the getting started guides, there are always other MaxText capabilities that are being constantly being added! The full suite of end-to-end tests is in [end_to_end](end_to_end). We run them with a nightly cadence. They can be a good source for understanding MaxText Alternatively you can see the continuous [unit tests](.github/workflows/RunTests.yml) which are run almost continuously. # Runtime Performance Results