yolov5增加了mpi单机多卡和多机多卡启动方式，其readme文件进行了更新，对maskrcnn的debug输出日志进行了删除，并更新了该模型的readme文件

PyTorch/Compute-Vision/Objection/MaskRCNN/vision/README.md

 # 介绍
-本测试用例用于测试目标检测MaskRCNN模型在ROCm平台的性能，测试流程如下
+本测试用例用于测试目标检测MaskRCNN模型的性能，测试流程如下
 
 # 测试流程
 ## 进入工作目录 
@@ -20,7 +20,7 @@ COCO2017数据集
 
 ### 单机多卡
 
-1）pytorch启动方式
+**1）pytorch启动方式**
 
 	export HIP_VISIBLE_DEVICES=0,1,2,3
 	export NGPUS=4
@@ -28,11 +28,11 @@ COCO2017数据集
 	python3 -m torch.distributed.launch --nproc_per_node= ${NGPUS} --use_env train.py --dataset coco --model maskrcnn_resnet50_fpn --epochs 26 --lr-steps 16 22 --aspect-ratio-group-factor 3 --lr 0.005 --data-path /path/to/{COCO2017_data_dir} > train_2gpu_lr0.005.log 2>&1 &
 注意：多卡运行时，学习率与卡数的对应关系为0.02/8*$NGPU，例如，lr_4gpu=0.01，lr_2gpu=0.005，lr_1gpu=0.0025。  
 
-2）mpi启动
+**2）mpi启动**
 
 ```
 cd references/detection 
-mpirun -np 4  --bind-to none single_process.sh localhost
+mpirun -np $np --bind-to none single_process.sh localhost
 ```
 
 ### 多机多卡
@@ -43,7 +43,12 @@ mpi启动
 mpirun -np $np --hostfile hostfile --bind-to none single_process.sh $dist_url
 ```
 
-其中，$dist_url为master_node的ip，在多节点的时候需要参考hostfile文件中的格式进行修改。
+其中，$dist_url为master_node的ip，hostfile为所使用节点的配置文件，格式示例如下：
+
+```
+node1 slots=4  
+node2 slots=4
+```
 
 # 参考
 

PyTorch/Compute-Vision/Objection/MaskRCNN/vision/references/detection/hostfile

-a01r1n13 slots=4
-a01r1n14 slots=4

PyTorch/Compute-Vision/Objection/MaskRCNN/vision/references/detection/single_process.sh

@@ -2,15 +2,12 @@
 export MIOPEN_DEBUG_DISABLE_FIND_DB=1
 export NCCL_SOCKET_IFNAME=ib0
 export HSA_USERPTR_FOR_PAGED_MEM=0
-#source /public/software/apps/DeepLearning/PyTorch/pytorch-env.sh
+
 
 module rm compiler/dtk/21.10
 module load compiler/dtk/22.10
 cd /work/home/sugon_ldc/Gitlab/PyTorch/Compute-Vision/Objection/MaskRCNN/vision/references/detection
-#conda init
-#source activate
-#source deactivate
-#conda activate maskrcnn
+
 source env.sh
 
 #module load apps/PyTorch/1.5.0a0/hpcx-2.4.1-gcc-7.3.1-rocm3.3
@@ -22,10 +19,8 @@ comm_size=$OMPI_COMM_WORLD_SIZE
 echo $lrank
 echo $comm_rank
 echo $comm_size
-echo '##################'
 
-#APP="python3 `pwd`/main_bench.py --batch-size=${3} --a=${2} -j 24 --epochs=1 --dist-url tcp://${1}:34567 --dist-backend nccl --world-size=${comm_size} --rank=${comm_rank} --synthetic /public/software/apps/DeepLearning/Data/ImageNet-pytorch/"
-APP="python3 train.py --dataset coco --model maskrcnn_resnet50_fpn --epochs 26 --dist-url tcp://${1}:34567 --dist-backend nccl --world-size=${comm_size} --rank=${comm_rank} --lr-steps 16 22 --aspect-ratio-group-factor 3 --data-path /work/home/sugon_ldc/datasets/COCO2017/"
+APP="python3 `pwd`/train.py --dataset coco --model maskrcnn_resnet50_fpn --epochs 26 --dist-url tcp://${1}:34567 --dist-backend nccl --world-size=${comm_size} --rank=${comm_rank} --lr-steps 16 22 --aspect-ratio-group-factor 3 --data-path /work/home/sugon_ldc/datasets/COCO2017/"
 echo $dist_url
 
 case ${lrank} in

PyTorch/Compute-Vision/Objection/MaskRCNN/vision/references/detection/utils.py

@@ -292,11 +292,11 @@ def init_distributed_mode(args):
     args.dist_backend = 'nccl'
     print('| distributed init (rank {}): {}'.format(
         args.rank, args.dist_url), flush=True)
-    print('**********************')
-    print('backend:',args.dist_backend)
-    print('init_method:',args.dist_url)
-    print('world_size:',args.world_size)
-    print('rank:',args.rank)
+    #print('**********************')
+    #print('backend:',args.dist_backend)
+    #print('init_method:',args.dist_url)
+    #print('world_size:',args.world_size)
+    #print('rank:',args.rank)
     torch.distributed.init_process_group(backend=args.dist_backend, init_method=args.dist_url,
                                          world_size=args.world_size, rank=args.rank)
     torch.distributed.barrier()

PyTorch/Compute-Vision/Objection/yolov5/.dockerignore

@@ -15,7 +15,6 @@ data/samples/*
 **/*.pt
 **/*.pth
 **/*.onnx
-**/*.engine
 **/*.mlmodel
 **/*.torchscript
 **/*.torchscript.pt
@@ -24,7 +23,6 @@ data/samples/*
 **/*.pb
 *_saved_model/
 *_web_model/
-*_openvino_model/
 
 # Below Copied From .gitignore -----------------------------------------------------------------------------------------
 # Below Copied From .gitignore -----------------------------------------------------------------------------------------

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/bug-report.md

+---
+name: "🐛 Bug report"
+about: Create a report to help us improve
+title: ''
+labels: bug
+assignees: ''
+
+---
+
+Before submitting a bug report, please be aware that your issue **must be reproducible** with all of the following,
+otherwise it is non-actionable, and we can not help you:
+
+- **Current repo**: run `git fetch && git status -uno` to check and `git pull` to update repo
+- **Common dataset**: coco.yaml or coco128.yaml
+- **Common environment**: Colab, Google Cloud, or Docker image. See https://github.com/ultralytics/yolov5#environments
+
+If this is a custom dataset/training question you **must include** your `train*.jpg`, `val*.jpg` and `results.png`
+figures, or we can not help you. You can generate these with `utils.plot_results()`.
+
+## 🐛 Bug
+
+A clear and concise description of what the bug is.
+
+## To Reproduce (REQUIRED)
+
+Input:
+
+```
+import torch
+
+a = torch.tensor([5])
+c = a / 0
+```
+
+Output:
+
+```
+Traceback (most recent call last):
+  File "/Users/glennjocher/opt/anaconda3/envs/env1/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3331, in run_code
+    exec(code_obj, self.user_global_ns, self.user_ns)
+  File "<ipython-input-5-be04c762b799>", line 5, in <module>
+    c = a / 0
+RuntimeError: ZeroDivisionError
+```
+
+## Expected behavior
+
+A clear and concise description of what you expected to happen.
+
+## Environment
+
+If applicable, add screenshots to help explain your problem.
+
+- OS: [e.g. Ubuntu]
+- GPU [e.g. 2080 Ti]
+
+## Additional context
+
+Add any other context about the problem here.

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/bug-report.yml

-name: 🐛 Bug Report
-# title: " "
-description: Problems with YOLOv5
-labels: [bug, triage]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for submitting a YOLOv5 🐛 Bug Report!
-
-  - type: checkboxes
-    attributes:
-      label: Search before asking
-      description: >
-        Please search the [issues](https://github.com/ultralytics/yolov5/issues) to see if a similar bug report already exists.
-      options:
-        - label: >
-            I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar bug report.
-          required: true
-
-  - type: dropdown
-    attributes:
-      label: YOLOv5 Component
-      description: |
-        Please select the part of YOLOv5 where you found the bug.
-      multiple: true
-      options:
-        - "Training"
-        - "Validation"
-        - "Detection"
-        - "Export"
-        - "PyTorch Hub"
-        - "Multi-GPU"
-        - "Evolution"
-        - "Integrations"
-        - "Other"
-    validations:
-      required: false
-
-  - type: textarea
-    attributes:
-      label: Bug
-      description: Provide console output with error messages and/or screenshots of the bug.
-      placeholder: |
-        💡 ProTip! Include as much information as possible (screenshots, logs, tracebacks etc.) to receive the most helpful response.
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Environment
-      description: Please specify the software and hardware you used to produce the bug.
-      placeholder: |
-        - YOLO: YOLOv5 🚀 v6.0-67-g60e42e1 torch 1.9.0+cu111 CUDA:0 (A100-SXM4-40GB, 40536MiB)
-        - OS: Ubuntu 20.04
-        - Python: 3.9.0
-    validations:
-      required: false
-
-  - type: textarea
-    attributes:
-      label: Minimal Reproducible Example
-      description: >
-        When asking a question, people will be better able to provide help if you provide code that they can easily understand and use to **reproduce** the problem.
-        This is referred to by community members as creating a [minimal reproducible example](https://stackoverflow.com/help/minimal-reproducible-example).
-      placeholder: |
-        ```
-        # Code to reproduce your issue here
-        ```
-    validations:
-      required: false
-
-  - type: textarea
-    attributes:
-      label: Additional
-      description: Anything else you would like to share?
-
-  - type: checkboxes
-    attributes:
-      label: Are you willing to submit a PR?
-      description: >
-        (Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/yolov5/pulls) (PR) to help improve YOLOv5 for everyone, especially if you have a good understanding of how to implement a fix or feature.
-        See the YOLOv5 [Contributing Guide](https://github.com/ultralytics/yolov5/blob/master/CONTRIBUTING.md) to get started.
-      options:
-        - label: Yes I'd like to help by submitting a PR!

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/config.yml

-blank_issues_enabled: true
-contact_links:
-  - name: Slack
-    url: https://join.slack.com/t/ultralytics/shared_invite/zt-w29ei8bp-jczz7QYUmDtgo6r6KcMIAg
-    about: Ask on Ultralytics Slack Forum
-  - name: Stack Overflow
-    url: https://stackoverflow.com/search?q=YOLOv5
-    about: Ask on Stack Overflow with 'YOLOv5' tag

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/feature-request.md

+---
+name: "🚀 Feature request"
+about: Suggest an idea for this project
+title: ''
+labels: enhancement
+assignees: ''
+
+---
+
+## 🚀 Feature
+
+<!-- A clear and concise description of the feature proposal -->
+
+## Motivation
+
+<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? 
+e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->
+
+## Pitch
+
+<!-- A clear and concise description of what you want to happen. -->
+
+## Alternatives
+
+<!-- A clear and concise description of any alternative solutions or features you've considered, if any. -->
+
+## Additional context
+
+<!-- Add any other context or screenshots about the feature request here. -->

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/feature-request.yml

-name: 🚀 Feature Request
-description: Suggest a YOLOv5 idea
-# title: " "
-labels: [enhancement]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for submitting a YOLOv5 🚀 Feature Request!
-
-  - type: checkboxes
-    attributes:
-      label: Search before asking
-      description: >
-        Please search the [issues](https://github.com/ultralytics/yolov5/issues) to see if a similar feature request already exists.
-      options:
-        - label: >
-            I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and found no similar feature requests.
-          required: true
-
-  - type: textarea
-    attributes:
-      label: Description
-      description: A short description of your feature.
-      placeholder: |
-        What new feature would you like to see in YOLOv5?
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Use case
-      description: |
-        Describe the use case of your feature request. It will help us understand and prioritize the feature request.
-      placeholder: |
-        How would this feature be used, and who would use it?
-
-  - type: textarea
-    attributes:
-      label: Additional
-      description: Anything else you would like to share?
-
-  - type: checkboxes
-    attributes:
-      label: Are you willing to submit a PR?
-      description: >
-        (Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/yolov5/pulls) (PR) to help improve YOLOv5 for everyone, especially if you have a good understanding of how to implement a fix or feature.
-        See the YOLOv5 [Contributing Guide](https://github.com/ultralytics/yolov5/blob/master/CONTRIBUTING.md) to get started.
-      options:
-        - label: Yes I'd like to help by submitting a PR!

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/question.md

+---
+name: "❓Question"
+about: Ask a general question
+title: ''
+labels: question
+assignees: ''
+
+---
+
+## ❔Question
+
+## Additional context

PyTorch/Compute-Vision/Objection/yolov5/.github/ISSUE_TEMPLATE/question.yml

-name: ❓ Question
-description: Ask a YOLOv5 question
-# title: " "
-labels: [question]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for asking a YOLOv5 ❓ Question!
-
-  - type: checkboxes
-    attributes:
-      label: Search before asking
-      description: >
-        Please search the [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) to see if a similar question already exists.
-      options:
-        - label: >
-            I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions.
-          required: true
-
-  - type: textarea
-    attributes:
-      label: Question
-      description: What is your question?
-      placeholder: |
-        💡 ProTip! Include as much information as possible (screenshots, logs, tracebacks etc.) to receive the most helpful response.
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Additional
-      description: Anything else you would like to share?

PyTorch/Compute-Vision/Objection/yolov5/.github/dependabot.yml

@@ -10,14 +10,3 @@ updates:
       - glenn-jocher
     labels:
       - dependencies
-
-  - package-ecosystem: github-actions
-    directory: "/"
-    schedule:
-      interval: weekly
-      time: "04:00"
-    open-pull-requests-limit: 5
-    reviewers:
-      - glenn-jocher
-    labels:
-      - dependencies

PyTorch/Compute-Vision/Objection/yolov5/.github/workflows/ci-testing.yml

@@ -19,8 +19,8 @@ jobs:
       fail-fast: false
       matrix:
         os: [ ubuntu-latest, macos-latest, windows-latest ]
-        python-version: [ 3.9 ]
-        model: [ 'yolov5n' ]  # models to test
+        python-version: [ 3.8 ]
+        model: [ 'yolov5s' ]  # models to test
 
     # Timeout: https://stackoverflow.com/a/59076067/4521646
     timeout-minutes: 50
@@ -39,27 +39,23 @@ jobs:
           python -c "from pip._internal.locations import USER_CACHE_DIR; print('::set-output name=dir::' + USER_CACHE_DIR)"
 
       - name: Cache pip
-        uses: actions/cache@v2.1.7
+        uses: actions/cache@v1
         with:
           path: ${{ steps.pip-cache.outputs.dir }}
           key: ${{ runner.os }}-${{ matrix.python-version }}-pip-${{ hashFiles('requirements.txt') }}
           restore-keys: |
             ${{ runner.os }}-${{ matrix.python-version }}-pip-
 
-      # Known Keras 2.7.0 issue: https://github.com/ultralytics/yolov5/pull/5486
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
           pip install -qr requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
-          pip install -q onnx tensorflow-cpu keras==2.6.0  # wandb  # extras
+          pip install -q onnx tensorflow-cpu  # for export
           python --version
           pip --version
           pip list
         shell: bash
 
-      # - name: W&B login
-      #   run: wandb login 345011b3fb26dc8337fd9b20e53857c1d403f2aa
-
       - name: Download data
         run: |
           # curl -L -o tmp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
@@ -87,7 +83,7 @@ jobs:
           # Python
           python - <<EOF
           import torch
-          # Known issue, urllib.error.HTTPError: HTTP Error 403: rate limit exceeded, will be resolved in torch==1.10.0
+          # Known issue, urllib.error.HTTPError: HTTP Error 403: rate limit exceeded, will be resolved in torch==1.10.0 
           # model = torch.hub.load('ultralytics/yolov5', 'custom', path='runs/train/exp/weights/last.pt')
           EOF
 

PyTorch/Compute-Vision/Objection/yolov5/.github/workflows/codeql-analysis.yml

-# This action runs GitHub's industry-leading static analysis engine, CodeQL, against a repository's source code to find security vulnerabilities.
+# This action runs GitHub's industry-leading static analysis engine, CodeQL, against a repository's source code to find security vulnerabilities. 
 # https://github.com/github/codeql-action
 
 name: "CodeQL"

PyTorch/Compute-Vision/Objection/yolov5/.github/workflows/greetings.yml

@@ -13,7 +13,7 @@ jobs:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           pr-message: |
             👋 Hello @${{ github.actor }}, thank you for submitting a 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:
-            - ✅ Verify your PR is **up-to-date with upstream/master.** If your PR is behind upstream/master an automatic [GitHub actions](https://github.com/ultralytics/yolov5/blob/master/.github/workflows/rebase.yml) rebase may be attempted by including the /rebase command in a comment body, or by running the following code, replacing 'feature' with the name of your local branch:
+            - ✅ Verify your PR is **up-to-date with origin/master.** If your PR is behind origin/master an automatic [GitHub actions](https://github.com/ultralytics/yolov5/blob/master/.github/workflows/rebase.yml) rebase may be attempted by including the /rebase command in a comment body, or by running the following code, replacing 'feature' with the name of your local branch:
             ```bash
             git remote add upstream https://github.com/ultralytics/yolov5.git
             git fetch upstream
@@ -37,9 +37,9 @@ jobs:
 
             [**Python>=3.6.0**](https://www.python.org/) with all [requirements.txt](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) installed including [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/). To get started:
             ```bash
-            git clone https://github.com/ultralytics/yolov5  # clone
-            cd yolov5
-            pip install -r requirements.txt  # install
+            $ git clone https://github.com/ultralytics/yolov5
+            $ cd yolov5
+            $ pip install -r requirements.txt
             ```
 
             ## Environments
@@ -57,3 +57,4 @@ jobs:
             <a href="https://github.com/ultralytics/yolov5/actions"><img src="https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg" alt="CI CPU testing"></a>
 
             If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
+            

PyTorch/Compute-Vision/Objection/yolov5/.github/workflows/rebase.yml

+name: Automatic Rebase
 # https://github.com/marketplace/actions/automatic-rebase
 
-name: Automatic Rebase
 on:
   issue_comment:
     types: [created]
+
 jobs:
   rebase:
     name: Rebase
@@ -13,9 +14,8 @@ jobs:
       - name: Checkout the latest code
         uses: actions/checkout@v2
         with:
-          token: ${{ secrets.ACTIONS_TOKEN }}
-          fetch-depth: 0 # otherwise, you will fail to push refs to dest repo
+          fetch-depth: 0
       - name: Automatic Rebase
-        uses: cirrus-actions/rebase@1.5
+        uses: cirrus-actions/rebase@1.3.1
         env:
-          GITHUB_TOKEN: ${{ secrets.ACTIONS_TOKEN }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

PyTorch/Compute-Vision/Objection/yolov5/.github/workflows/stale.yml

@@ -9,7 +9,7 @@ jobs:
   stale:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@v4
+      - uses: actions/stale@v3
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           stale-issue-message: |
@@ -21,7 +21,7 @@ jobs:
             - **Docs** – https://docs.ultralytics.com
 
             Access additional [Ultralytics](https://ultralytics.com) ⚡ resources:
-            - **Ultralytics HUB** – https://ultralytics.com/hub
+            - **Ultralytics HUB** – https://ultralytics.com
             - **Vision API** – https://ultralytics.com/yolov5
             - **About Us** – https://ultralytics.com/about
             - **Join Our Team** – https://ultralytics.com/work
@@ -31,7 +31,7 @@ jobs:
 
             Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!
 
-          stale-pr-message: 'This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions YOLOv5 🚀 and Vision AI ⭐.'
+          stale-pr-message: 'This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions YOLOv5 🚀 and Vision AI ⭐.'
           days-before-stale: 30
           days-before-close: 5
           exempt-issue-labels: 'documentation,tutorial'

PyTorch/Compute-Vision/Objection/yolov5/.gitignore

@@ -20,17 +20,12 @@
 *.data
 *.json
 *.cfg
-!setup.cfg
 !cfg/yolov3*.cfg
 
 storage.googleapis.com
 runs/*
 data/*
-data/images/*
-!data/*.yaml
-!data/hyps
-!data/scripts
-!data/images
+!data/hyps/*
 !data/images/zidane.jpg
 !data/images/bus.jpg
 !data/*.sh
@@ -52,14 +47,12 @@ VOC/
 *.pt
 *.pb
 *.onnx
-*.engine
 *.mlmodel
 *.torchscript
 *.tflite
 *.h5
 *_saved_model/
 *_web_model/
-*_openvino_model/
 darknet53.conv.74
 yolov3-tiny.conv.15
 

PyTorch/Compute-Vision/Objection/yolov5/.pre-commit-config.yaml

-# Define hooks for code formations
-# Will be applied on any updated commit files if a user has installed and linked commit hook
-
-default_language_version:
-  python: python3.8
-
-# Define bot property if installed via https://github.com/marketplace/pre-commit-ci
-ci:
-  autofix_prs: true
-  autoupdate_commit_msg: '[pre-commit.ci] pre-commit suggestions'
-  autoupdate_schedule: quarterly
-  # submodules: true
-
-repos:
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.1.0
-    hooks:
-      - id: end-of-file-fixer
-      - id: trailing-whitespace
-      - id: check-case-conflict
-      - id: check-yaml
-      - id: check-toml
-      - id: pretty-format-json
-      - id: check-docstring-first
-
-  - repo: https://github.com/asottile/pyupgrade
-    rev: v2.31.0
-    hooks:
-      - id: pyupgrade
-        args: [--py36-plus]
-        name: Upgrade code
-
-  - repo: https://github.com/PyCQA/isort
-    rev: 5.10.1
-    hooks:
-      - id: isort
-        name: Sort imports
-
-  # TODO
-  #- repo: https://github.com/pre-commit/mirrors-yapf
-  #  rev: v0.31.0
-  #  hooks:
-  #    - id: yapf
-  #      name: formatting
-
-  # TODO
-  #- repo: https://github.com/executablebooks/mdformat
-  #  rev: 0.7.7
-  #  hooks:
-  #    - id: mdformat
-  #      additional_dependencies:
-  #        - mdformat-gfm
-  #        - mdformat-black
-  #        - mdformat_frontmatter
-
-  # TODO
-  #- repo: https://github.com/asottile/yesqa
-  #  rev: v1.2.3
-  #  hooks:
-  #    - id: yesqa
-
-  - repo: https://github.com/PyCQA/flake8
-    rev: 4.0.1
-    hooks:
-      - id: flake8
-        name: PEP8