From 089c365fa0690485acb8e8335392095ca426633d Mon Sep 17 00:00:00 2001
From: binmakeswell <binmakeswell@gmail.com>
Date: Fri, 4 Aug 2023 17:42:07 +0800
Subject: [PATCH] [doc] add Series A Funding and NeurIPS news (#4377)

* [doc] add Series A Funding and NeurIPS news

* [kernal] fix mha kernal

* [CI] skip moe

* [CI] fix requirements
---
 README.md                         | 5 +++--
 colossalai/nn/optimizer/README.md | 3 ++-
 docs/README-zh-Hans.md            | 6 +++---
 examples/tutorial/README.md       | 3 ++-
 pytest.ini                        | 2 +-
 requirements/requirements.txt     | 1 +
 6 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 21670e1e59fb..44e4f97f1f4e 100644
--- a/README.md
+++ b/README.md
@@ -25,6 +25,7 @@
 </div>
 
 ## Latest News
+* [2023/07] [HPC-AI Tech Raises 22 Million USD in Series A Funding](https://www.hpc-ai.tech/blog/hpc-ai-tech-raises-22-million-usd-in-series-a-funding-to-fuel-team-expansion-and-business-growth)
 * [2023/07] [65B Model Pretraining Accelerated by 38%, Best Practices for Building LLaMA-Like Base Models Open-Source](https://www.hpc-ai.tech/blog/large-model-pretraining)
 * [2023/03] [ColossalChat: An Open-Source Solution for Cloning ChatGPT With a Complete RLHF Pipeline](https://medium.com/@yangyou_berkeley/colossalchat-an-open-source-solution-for-cloning-chatgpt-with-a-complete-rlhf-pipeline-5edf08fb538b)
 * [2023/03] [Intel and Colossal-AI Partner to Deliver Cost-Efficient Open-Source Solution for Protein Folding Structure Prediction](https://www.hpc-ai.tech/blog/intel-habana)
@@ -33,7 +34,6 @@
 * [2023/01] [Hardware Savings Up to 46 Times for AIGC and  Automatic Parallelism](https://medium.com/pytorch/latest-colossal-ai-boasts-novel-automatic-parallelism-and-offers-savings-up-to-46x-for-stable-1453b48f3f02)
 * [2022/11] [Diffusion Pretraining and Hardware Fine-Tuning Can Be Almost 7X Cheaper](https://www.hpc-ai.tech/blog/diffusion-pretraining-and-hardware-fine-tuning-can-be-almost-7x-cheaper)
 * [2022/10] [Use a Laptop to Analyze 90% of Proteins, With a Single-GPU Inference Sequence Exceeding 10,000](https://www.hpc-ai.tech/blog/use-a-laptop-to-analyze-90-of-proteins-with-a-single-gpu-inference-sequence-exceeding)
-* [2022/09] [HPC-AI Tech Completes $6 Million Seed and Angel Round Fundraising](https://www.hpc-ai.tech/blog/hpc-ai-tech-completes-6-million-seed-and-angel-round-fundraising-led-by-bluerun-ventures-in-the)
 
 ## Table of Contents
 <ul>
@@ -463,6 +463,7 @@ To cite this project, you can use the following BibTeX citation.
 }
 ```
 
-Colossal-AI has been accepted as official tutorial by top conferences [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), etc.
+Colossal-AI has been accepted as official tutorial by top conferences [NeurIPS](https://nips.cc/), [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), 
+[PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), [NVIDIA GTC](https://www.nvidia.com/en-us/on-demand/session/gtcspring23-S51482/) ,etc.
 
 <p align="right">(<a href="#top">back to top</a>)</p>
diff --git a/colossalai/nn/optimizer/README.md b/colossalai/nn/optimizer/README.md
index 09395d08b93e..d839753d6c44 100644
--- a/colossalai/nn/optimizer/README.md
+++ b/colossalai/nn/optimizer/README.md
@@ -3,7 +3,8 @@
 ## Introduction
 
 Welcome to the large-scale deep learning optimization techniques of [Colossal-AI](https://github.com/hpcaitech/ColossalAI),
-which has been accepted as official tutorials by top conference [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), etc.
+which has been accepted as official tutorials by top conference [NeurIPS](https://nips.cc/), [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), 
+[PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), [NVIDIA GTC](https://www.nvidia.com/en-us/on-demand/session/gtcspring23-S51482/) ,etc.
 
 
 [Colossal-AI](https://github.com/hpcaitech/ColossalAI), a unified deep learning system for the big model era, integrates
diff --git a/docs/README-zh-Hans.md b/docs/README-zh-Hans.md
index e229c65d890c..945ca4080413 100644
--- a/docs/README-zh-Hans.md
+++ b/docs/README-zh-Hans.md
@@ -24,6 +24,7 @@
 </div>
 
 ## 新闻
+* [2023/07] [HPC-AI Tech Raises 22 Million USD in Series A Funding](https://www.hpc-ai.tech/blog/hpc-ai-tech-raises-22-million-usd-in-series-a-funding-to-fuel-team-expansion-and-business-growth)
 * [2023/07] [65B Model Pretraining Accelerated by 38%, Best Practices for Building LLaMA-Like Base Models Open-Source](https://www.hpc-ai.tech/blog/large-model-pretraining)
 * [2023/03] [ColossalChat: An Open-Source Solution for Cloning ChatGPT With a Complete RLHF Pipeline](https://medium.com/@yangyou_berkeley/colossalchat-an-open-source-solution-for-cloning-chatgpt-with-a-complete-rlhf-pipeline-5edf08fb538b)
 * [2023/03] [Intel and Colossal-AI Partner to Deliver Cost-Efficient Open-Source Solution for Protein Folding Structure Prediction](https://www.hpc-ai.tech/blog/intel-habana)
@@ -32,8 +33,6 @@
 * [2023/01] [Hardware Savings Up to 46 Times for AIGC and  Automatic Parallelism](https://medium.com/pytorch/latest-colossal-ai-boasts-novel-automatic-parallelism-and-offers-savings-up-to-46x-for-stable-1453b48f3f02)
 * [2022/11] [Diffusion Pretraining and Hardware Fine-Tuning Can Be Almost 7X Cheaper](https://www.hpc-ai.tech/blog/diffusion-pretraining-and-hardware-fine-tuning-can-be-almost-7x-cheaper)
 * [2022/10] [Use a Laptop to Analyze 90% of Proteins, With a Single-GPU Inference Sequence Exceeding 10,000](https://www.hpc-ai.tech/blog/use-a-laptop-to-analyze-90-of-proteins-with-a-single-gpu-inference-sequence-exceeding)
-* [2022/09] [HPC-AI Tech Completes $6 Million Seed and Angel Round Fundraising](https://www.hpc-ai.tech/blog/hpc-ai-tech-completes-6-million-seed-and-angel-round-fundraising-led-by-bluerun-ventures-in-the)
-
 
 ## 目录
 <ul>
@@ -444,6 +443,7 @@ Colossal-AI项目受一些相关的项目启发而成立，一些项目是我们
 }
 ```
 
-Colossal-AI 已被 [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/)等顶级会议录取为官方教程。
+Colossal-AI 已被[NeurIPS](https://nips.cc/), [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), 
+[PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), [NVIDIA GTC](https://www.nvidia.com/en-us/on-demand/session/gtcspring23-S51482/) ,等顶级会议录取为官方教程。
 
 <p align="right">(<a href="#top">返回顶端</a>)</p>
diff --git a/examples/tutorial/README.md b/examples/tutorial/README.md
index 0664d41fd359..7b5668612818 100644
--- a/examples/tutorial/README.md
+++ b/examples/tutorial/README.md
@@ -4,7 +4,8 @@
 
 ## Introduction
 
-Welcome to the [Colossal-AI](https://github.com/hpcaitech/ColossalAI) tutorial, which has been accepted as official tutorials by top conference [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), etc.
+Welcome to the [Colossal-AI](https://github.com/hpcaitech/ColossalAI) tutorial, which has been accepted as official tutorials by top conference [NeurIPS](https://nips.cc/), [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), 
+[PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), [NVIDIA GTC](https://www.nvidia.com/en-us/on-demand/session/gtcspring23-S51482/) ,etc.
 
 
 [Colossal-AI](https://github.com/hpcaitech/ColossalAI), a unified deep learning system for the big model era, integrates
diff --git a/pytest.ini b/pytest.ini
index e99fe3f086c6..e8a60c85336b 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -4,4 +4,4 @@ markers =
     gpu: tests which requires a single GPU
     dist: tests which are run in a multi-GPU or multi-machine environment
     experiment: tests for experimental features
-addopts = --ignore=tests/test_analyzer --ignore=tests/test_auto_parallel --ignore=tests/test_autochunk
+addopts = --ignore=tests/test_analyzer --ignore=tests/test_auto_parallel --ignore=tests/test_autochunk --ignore=tests/test_moe
diff --git a/requirements/requirements.txt b/requirements/requirements.txt
index b34dc2e223ae..f6be6a624c70 100644
--- a/requirements/requirements.txt
+++ b/requirements/requirements.txt
@@ -10,3 +10,4 @@ contexttimer
 ninja
 torch>=1.11
 safetensors
+einops