merge conflict

.dev_scripts/build_docs.sh

@@ -0,0 +1,8 @@
+pip install -r requirements/docs.txt
+cd docs
+rm -rf build
+
+# update api rst
+#rm -rf source/api/
+#sphinx-apidoc --module-first -o source/api/ ../modelscope/
+make html

.dev_scripts/build_image.sh

@@ -0,0 +1,169 @@
+#!/bin/bash
+# default values.
+BASE_CPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04
+BASE_GPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04-cuda11.3.0-cudnn8-devel
+MODELSCOPE_REPO_ADDRESS=reg.docker.alibaba-inc.com/modelscope/modelscope
+python_version=3.7.13
+torch_version=1.11.0
+cudatoolkit_version=11.3
+tensorflow_version=1.15.5
+modelscope_version=None
+is_ci_test=False
+is_dsw=False
+is_cpu=False
+run_ci_test=False
+function usage(){
+    echo "usage: build.sh "
+    echo "       --python=python_version set python version, default: $python_version"
+    echo "       --torch=torch_version set pytorch version, fefault: $torch_version"
+    echo "       --cudatoolkit=cudatoolkit_version set cudatoolkit version used for pytorch, default: $cudatoolkit_version"
+    echo "       --tensorflow=tensorflow_version set tensorflow version, default: $tensorflow_version"
+    echo "       --modelscope=modelscope_version set modelscope version, default: $modelscope_version"
+    echo "       --test option for run test before push image, only push on ci test pass"
+    echo "       --cpu option for build cpu version"
+    echo "       --dsw option for build dsw version"
+    echo "       --ci  option for build ci version"
+    echo "       --push option for push image to remote repo"
+}
+for i in "$@"; do
+  case $i in
+    --python=*)
+      python_version="${i#*=}"
+      shift
+      ;;
+    --torch=*)
+      torch_version="${i#*=}"
+      shift # pytorch version
+      ;;
+    --tensorflow=*)
+      tensorflow_version="${i#*=}"
+      shift # tensorflow version
+      ;;
+    --cudatoolkit=*)
+      cudatoolkit_version="${i#*=}"
+      shift # cudatoolkit for pytorch
+      ;;
+    --modelscope=*)
+      modelscope_version="${i#*=}"
+      shift # cudatoolkit for pytorch
+      ;;
+    --test)
+      run_ci_test=True
+      shift # will run ci test
+      ;;
+    --cpu)
+      is_cpu=True
+      shift # is cpu image
+      ;;
+    --ci)
+      is_ci_test=True
+      shift # is ci, will not install modelscope
+      ;;
+    --dsw)
+      is_dsw=True
+      shift # is dsw, will set dsw cache location
+      ;;
+    --push)
+      is_push=True
+      shift # is dsw, will set dsw cache location
+      ;;
+    --help)
+      usage
+      exit 0
+      ;;
+    -*|--*)
+      echo "Unknown option $i"
+      usage
+      exit 1
+      ;;
+    *)
+      ;;
+  esac
+done
+
+if [ "$modelscope_version" == "None" ]; then
+    echo "ModelScope version must specify!"
+    exit 1
+fi
+if [ "$is_cpu" == "True" ]; then
+    export BASE_IMAGE=$BASE_CPU_IMAGE
+    base_tag=ubuntu20.04
+    export USE_GPU=False
+else
+    export BASE_IMAGE=$BASE_GPU_IMAGE
+    base_tag=ubuntu20.04-cuda11.3.0
+    export USE_GPU=True
+fi
+if [[ $python_version == 3.7* ]]; then
+    base_tag=$base_tag-py37
+elif [[ $python_version == z* ]]; then
+    base_tag=$base_tag-py38
+elif [[ $python_version == z* ]]; then
+    base_tag=$base_tag-py39
+else
+    echo "Unsupport python version: $python_version"
+    exit 1
+fi
+
+target_image_tag=$base_tag-torch$torch_version-tf$tensorflow_version
+if [ "$is_ci_test" == "True" ]; then
+    target_image_tag=$target_image_tag-$modelscope_version-ci
+else
+    target_image_tag=$target_image_tag-$modelscope_version-test
+fi
+export IMAGE_TO_BUILD=$MODELSCOPE_REPO_ADDRESS:$target_image_tag
+export PYTHON_VERSION=$python_version
+export TORCH_VERSION=$torch_version
+export CUDATOOLKIT_VERSION=$cudatoolkit_version
+export TENSORFLOW_VERSION=$tensorflow_version
+echo -e "Building image with:\npython$python_version\npytorch$torch_version\ntensorflow:$tensorflow_version\ncudatoolkit:$cudatoolkit_version\ncpu:$is_cpu\nis_ci:$is_ci_test\nis_dsw:$is_dsw\n"
+docker_file_content=`cat docker/Dockerfile.ubuntu`
+if [ "$is_ci_test" != "True" ]; then
+    echo "Building ModelScope lib, will install ModelScope lib to image"
+    docker_file_content="${docker_file_content} \nRUN pip install --no-cache-dir  modelscope==$modelscope_version -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html"
+fi
+echo "$is_dsw"
+if [ "$is_dsw" == "False" ]; then
+    echo "Not DSW image"
+else
+    echo "Building dsw image well need set ModelScope lib cache location."
+    docker_file_content="${docker_file_content} \nENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope"
+fi
+printf "$docker_file_content" > Dockerfile
+docker build -t $IMAGE_TO_BUILD  \
+             --build-arg USE_GPU \
+             --build-arg BASE_IMAGE \
+             --build-arg PYTHON_VERSION \
+             --build-arg TORCH_VERSION \
+             --build-arg CUDATOOLKIT_VERSION \
+             --build-arg TENSORFLOW_VERSION \
+             -f Dockerfile .
+
+if [ $? -ne 0 ]; then
+  echo "Running docker build command error, please check the log!"
+  exit -1
+fi
+if [ "$run_ci_test" == "True" ]; then
+    echo "Running ci case."
+    export MODELSCOPE_CACHE=/home/mulin.lyh/model_scope_cache
+    export MODELSCOPE_HOME_CACHE=/home/mulin.lyh/ci_case_home # for credential
+    export IMAGE_NAME=$MODELSCOPE_REPO_ADDRESS
+    export IMAGE_VERSION=$target_image_tag
+    export MODELSCOPE_DOMAIN=www.modelscope.cn
+    export HUB_DATASET_ENDPOINT=http://www.modelscope.cn
+    export CI_TEST=True
+    export TEST_LEVEL=1
+    if [ "$is_ci_test" != "True" ]; then
+        echo "Testing for dsw image or MaaS-lib image"
+        export CI_COMMAND="python tests/run.py"
+    fi
+    bash .dev_scripts/dockerci.sh
+    if [ $? -ne 0 ]; then
+       echo "Running unittest failed, please check the log!"
+       exit -1
+    fi
+fi
+if [ "$is_push" == "True" ]; then
+    echo "Pushing image: $IMAGE_TO_BUILD"
+    docker push $IMAGE_TO_BUILD
+fi

.dev_scripts/ci_container_test.sh

@@ -0,0 +1,36 @@
+echo "Testing envs"
+printenv
+echo "ENV END"
+if [ "$MODELSCOPE_SDK_DEBUG" == "True" ]; then
+    awk -F: '/^[^#]/ { print $1 }' requirements/framework.txt | xargs -n 1 pip install -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+    awk -F: '/^[^#]/ { print $1 }' requirements/audio.txt | xargs -n 1 pip install -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+    awk -F: '/^[^#]/ { print $1 }' requirements/cv.txt | xargs -n 1 pip install -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+    awk -F: '/^[^#]/ { print $1 }' requirements/multi-modal.txt | xargs -n 1 pip install -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+    awk -F: '/^[^#]/ { print $1 }' requirements/nlp.txt | xargs -n 1 pip install -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+    pip install -r requirements/tests.txt
+
+    git config --global --add safe.directory /Maas-lib
+    git config --global user.email tmp
+    git config --global user.name tmp.com
+
+    # linter test
+    # use internal project for pre-commit due to the network problem
+    if [ `git remote -v | grep alibaba  | wc -l` -gt 1 ]; then
+        pre-commit run -c .pre-commit-config_local.yaml --all-files
+        if [ $? -ne 0 ]; then
+            echo "linter test failed, please run 'pre-commit run --all-files' to check"
+            exit -1
+        fi
+    fi
+    # test with install
+    python setup.py install
+else
+    echo "Running case in release image, run case directly!"
+fi
+if [ $# -eq 0 ]; then
+    ci_command="python tests/run.py --subprocess"
+else
+    ci_command="$@"
+fi
+echo "Running case with command: $ci_command"
+$ci_command

.dev_scripts/dockerci.sh

@@ -0,0 +1,80 @@
+#!/bin/bash
+MODELSCOPE_CACHE_DIR_IN_CONTAINER=/modelscope_cache
+CODE_DIR=$PWD
+CODE_DIR_IN_CONTAINER=/Maas-lib
+echo "$USER"
+gpus='7 6 5 4 3 2 1 0'
+cpu_sets='0-7 8-15 16-23 24-30 31-37 38-44 45-51 52-58'
+cpu_sets_arr=($cpu_sets)
+is_get_file_lock=false
+# export RUN_CASE_COMMAND='python tests/run.py --run_config tests/run_config.yaml'
+CI_COMMAND=${CI_COMMAND:-bash .dev_scripts/ci_container_test.sh $RUN_CASE_BASE_COMMAND}
+echo "ci command: $CI_COMMAND"
+for gpu in $gpus
+do
+  exec {lock_fd}>"/tmp/gpu$gpu" || exit 1
+  flock -n "$lock_fd" || { echo "WARN: gpu $gpu is in use!" >&2; continue; }
+  echo "get gpu lock $gpu"
+  CONTAINER_NAME="modelscope-ci-$gpu"
+  let is_get_file_lock=true
+
+  # pull image if there are update
+  docker pull ${IMAGE_NAME}:${IMAGE_VERSION}
+  if [ "$MODELSCOPE_SDK_DEBUG" == "True" ]; then
+    docker run --rm --name $CONTAINER_NAME --shm-size=16gb \
+              --cpuset-cpus=${cpu_sets_arr[$gpu]} \
+              --gpus="device=$gpu" \
+              -v $CODE_DIR:$CODE_DIR_IN_CONTAINER \
+              -v $MODELSCOPE_CACHE:$MODELSCOPE_CACHE_DIR_IN_CONTAINER \
+              -v $MODELSCOPE_HOME_CACHE/$gpu:/root \
+              -v /home/admin/pre-commit:/home/admin/pre-commit \
+              -e CI_TEST=True \
+              -e TEST_LEVEL=$TEST_LEVEL \
+              -e MODELSCOPE_CACHE=$MODELSCOPE_CACHE_DIR_IN_CONTAINER \
+              -e MODELSCOPE_DOMAIN=$MODELSCOPE_DOMAIN \
+              -e MODELSCOPE_SDK_DEBUG=True \
+              -e HUB_DATASET_ENDPOINT=$HUB_DATASET_ENDPOINT \
+              -e TEST_ACCESS_TOKEN_CITEST=$TEST_ACCESS_TOKEN_CITEST \
+              -e TEST_ACCESS_TOKEN_SDKDEV=$TEST_ACCESS_TOKEN_SDKDEV \
+              -e TEST_LEVEL=$TEST_LEVEL \
+              -e MODELSCOPE_ENVIRONMENT='ci' \
+              -e TEST_UPLOAD_MS_TOKEN=$TEST_UPLOAD_MS_TOKEN \
+              -e MODEL_TAG_URL=$MODEL_TAG_URL \
+              --workdir=$CODE_DIR_IN_CONTAINER \
+              --net host  \
+              ${IMAGE_NAME}:${IMAGE_VERSION} \
+              $CI_COMMAND
+  else
+    docker run --rm --name $CONTAINER_NAME --shm-size=16gb \
+              --cpuset-cpus=${cpu_sets_arr[$gpu]} \
+              --gpus="device=$gpu" \
+              -v $CODE_DIR:$CODE_DIR_IN_CONTAINER \
+              -v $MODELSCOPE_CACHE:$MODELSCOPE_CACHE_DIR_IN_CONTAINER \
+              -v $MODELSCOPE_HOME_CACHE/$gpu:/root \
+              -v /home/admin/pre-commit:/home/admin/pre-commit \
+              -e CI_TEST=True \
+              -e TEST_LEVEL=$TEST_LEVEL \
+              -e MODELSCOPE_CACHE=$MODELSCOPE_CACHE_DIR_IN_CONTAINER \
+              -e MODELSCOPE_DOMAIN=$MODELSCOPE_DOMAIN \
+              -e HUB_DATASET_ENDPOINT=$HUB_DATASET_ENDPOINT \
+              -e TEST_ACCESS_TOKEN_CITEST=$TEST_ACCESS_TOKEN_CITEST \
+              -e TEST_ACCESS_TOKEN_SDKDEV=$TEST_ACCESS_TOKEN_SDKDEV \
+              -e TEST_LEVEL=$TEST_LEVEL \
+              -e MODELSCOPE_ENVIRONMENT='ci' \
+              -e TEST_UPLOAD_MS_TOKEN=$TEST_UPLOAD_MS_TOKEN \
+              -e MODEL_TAG_URL=$MODEL_TAG_URL \
+              --workdir=$CODE_DIR_IN_CONTAINER \
+              --net host  \
+              ${IMAGE_NAME}:${IMAGE_VERSION} \
+              $CI_COMMAND
+  fi
+  if [ $? -ne 0 ]; then
+    echo "Running test case failed, please check the log!"
+    exit -1
+  fi
+  break
+done
+if [ "$is_get_file_lock" = false ] ; then
+    echo 'No free GPU!'
+    exit 1
+fi

.dev_scripts/linter.sh

@@ -0,0 +1,3 @@
+yapf -r -i modelscope/ configs/ tests/ setup.py
+isort -rc modelscope/ configs/ tests/ setup.py
+flake8 modelscope/ configs/ tests/ setup.py

.dev_scripts/run_docker.sh

@@ -0,0 +1,7 @@
+#sudo docker run --name zwm_maas -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace   --net host -ti reg.docker.alibaba-inc.com/pai-dlc/tensorflow-training:2.3-gpu-py36-cu101-ubuntu18.04 bash
+#sudo docker run --name zwm_maas_pytorch -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace --net host  -ti reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04 bash
+CONTAINER_NAME=modelscope-dev
+IMAGE_NAME=registry.cn-shanghai.aliyuncs.com/modelscope/modelscope
+IMAGE_VERSION=v0.1.1-16-g62856fa-devel
+MOUNT_DIR=/home/wenmeng.zwm/workspace
+sudo docker run --name  $CONTAINER_NAME -v $MOUNT_DIR:$MOUNT_DIR --net host  -ti ${IMAGE_NAME}:${IMAGE_VERSION} bash

.dockerignore

@@ -0,0 +1,11 @@
+.gitignore
+tests
+data
+.dev_scripts
+.dockerignore
+.git
+.gitattributes
+.pre-commit-config.yaml
+.pre-commit-config_local.yaml
+.readthedocs.yaml
+Dockfile

.gitattributes

@@ -0,0 +1,9 @@
+*.png filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+*.JPEG filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.avi filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text

.github/workflows/citest.yaml

@@ -0,0 +1,64 @@
+name: citest
+
+on:
+  push:
+    branches:
+      - master
+      - "release/**"
+    paths-ignore:
+      - "setup.*"
+      - "requirements.txt"
+      - "requirements/**"
+      - "docs/**"
+      - "tools/**"
+      - ".dev_scripts/**"
+      - "README.md"
+      - "README_zh-CN.md"
+      - "NOTICE"
+      - ".github/workflows/lint.yaml"
+      - ".github/workflows/publish.yaml"
+
+  pull_request:
+    paths-ignore:
+      - "setup.*"
+      - "requirements.txt"
+      - "requirements/**"
+      - "docs/**"
+      - "tools/**"
+      - ".dev_scripts/**"
+      - "README.md"
+      - "README_zh-CN.md"
+      - "NOTICE"
+      - ".github/workflows/lint.yaml"
+      - ".github/workflows/publish.yaml"
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  unittest:
+    # The type of runner that the job will run on
+    runs-on: [modelscope-self-hosted]
+    steps:
+      - name: ResetFileMode
+        shell: bash
+        run: |
+          # reset filemode to allow action runner to delete files
+          # generated by root in docker
+          set -e
+          source ~/.bashrc
+          sudo chown -R $USER:$USER  $ACTION_RUNNER_DIR
+
+      - name: Checkout
+        uses: actions/checkout@v2
+        with:
+            lfs: 'true'
+      - name: Checkout LFS objects
+        run: git lfs checkout
+      - name: Run unittest
+        shell: bash
+        run: |
+          set -e
+          source /mnt/modelscope/ci_env.sh
+          bash .dev_scripts/dockerci.sh

.github/workflows/lint.yaml

@@ -0,0 +1,22 @@
+name: Lint test
+
+on: [push, pull_request]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python 3.7
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.7
+      - name: Install pre-commit hook
+        run: |
+          pip install pre-commit
+      - name: Linting
+        run: pre-commit run --all-files

.gitignore

@@ -0,0 +1,128 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+/package
+/temp
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+.vscode
+.idea
+
+# custom
+*.pkl
+*.pkl.json
+*.log.json
+*.whl
+*.tar.gz
+*.swp
+*.log
+*.tar.gz
+source.sh
+tensorboard.sh
+.DS_Store
+replace.sh
+result.png
+
+# Pytorch
+*.pth
+*.pt

.pre-commit-config.yaml

@@ -0,0 +1,37 @@
+repos:
+  - repo: https://gitlab.com/pycqa/flake8.git
+    rev: 4.0.0
+    hooks:
+      - id: flake8
+        exclude: thirdparty/|examples/
+  - repo: https://github.com/PyCQA/isort.git
+    rev: 4.3.21
+    hooks:
+      - id: isort
+        exclude: examples
+  - repo: https://github.com/pre-commit/mirrors-yapf.git
+    rev: v0.30.0
+    hooks:
+      - id: yapf
+        exclude: thirdparty/|examples/
+  - repo: https://github.com/pre-commit/pre-commit-hooks.git
+    rev: v3.1.0
+    hooks:
+      - id: trailing-whitespace
+        exclude: thirdparty/
+      - id: check-yaml
+        exclude: thirdparty/
+      - id: end-of-file-fixer
+        exclude: thirdparty/
+      - id: requirements-txt-fixer
+        exclude: thirdparty/
+      - id: double-quote-string-fixer
+        exclude: thirdparty/
+      - id: check-merge-conflict
+        exclude: thirdparty/
+      - id: fix-encoding-pragma
+        exclude: thirdparty/
+        args: ["--remove"]
+      - id: mixed-line-ending
+        exclude: thirdparty/
+        args: ["--fix=lf"]

.pre-commit-config_local.yaml

@@ -0,0 +1,37 @@
+repos:
+  - repo: /home/admin/pre-commit/flake8
+    rev: 4.0.0
+    hooks:
+      - id: flake8
+        exclude: thirdparty/|examples/
+  - repo: /home/admin/pre-commit/isort
+    rev: 4.3.21
+    hooks:
+      - id: isort
+        exclude: examples
+  - repo: /home/admin/pre-commit/mirrors-yapf
+    rev: v0.30.0
+    hooks:
+      - id: yapf
+        exclude: thirdparty/|examples/
+  - repo: /home/admin/pre-commit/pre-commit-hooks
+    rev: v3.1.0
+    hooks:
+      - id: trailing-whitespace
+        exclude: thirdparty/
+      - id: check-yaml
+        exclude: thirdparty/
+      - id: end-of-file-fixer
+        exclude: thirdparty/
+      - id: requirements-txt-fixer
+        exclude: thirdparty/
+      - id: double-quote-string-fixer
+        exclude: thirdparty/
+      - id: check-merge-conflict
+        exclude: thirdparty/
+      - id: fix-encoding-pragma
+        exclude: thirdparty/
+        args: ["--remove"]
+      - id: mixed-line-ending
+        exclude: thirdparty/
+        args: ["--fix=lf"]

.readthedocs.yaml

@@ -0,0 +1,28 @@
+version: 2
+
+# Set the version of Python and other tools you might need
+build:
+  os: ubuntu-20.04
+  tools:
+    python: "3.7"
+    # You can also specify other tool versions:
+    # nodejs: "16"
+    # rust: "1.55"
+    # golang: "1.17"
+  jobs:
+    post_checkout:
+      - echo "dummy"
+
+# Build documentation in the docs/ directory with Sphinx
+sphinx:
+   configuration: docs/source/conf.py
+
+# If using Sphinx, optionally build your docs in additional formats such as PDF
+# formats:
+formats: all
+
+python:
+  install:
+    - requirements: requirements/docs.txt
+    - requirements: requirements/readthedocs.txt
+    - requirements: requirements/framework.txt

LICENSE

@@ -71,3 +71,207 @@ distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
+=======
+Copyright 2022-2023 Alibaba ModelScope. All rights reserved.
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
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+   9. Accepting Warranty or Additional Liability. While redistributing
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+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
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+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
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+      file or class name and description of purpose be included on the
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+
+   Copyright 2020-2022 Alibaba ModelScope.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
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+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

MANIFEST.in

@@ -0,0 +1 @@
+recursive-include modelscope/configs *.py

Makefile

@@ -0,0 +1,25 @@
+WHL_BUILD_DIR :=package
+DOC_BUILD_DIR :=docs/build/
+
+# default rule
+default: whl docs
+
+.PHONY: docs
+docs:
+	bash .dev_scripts/build_docs.sh
+
+.PHONY: linter
+linter:
+	bash .dev_scripts/linter.sh
+
+.PHONY: test
+test:
+	bash .dev_scripts/citest.sh
+
+.PHONY: whl
+whl:
+	python setup.py sdist bdist_wheel
+
+.PHONY: clean
+clean:
+	rm -rf  $(WHL_BUILD_DIR) $(DOC_BUILD_DIR)

Makefile.docker

@@ -0,0 +1,67 @@
+DOCKER_REGISTRY           = registry.cn-shanghai.aliyuncs.com
+DOCKER_ORG                = modelscope
+DOCKER_IMAGE              = modelscope
+DOCKER_FULL_NAME          = $(DOCKER_REGISTRY)/$(DOCKER_ORG)/$(DOCKER_IMAGE)
+
+# CUDA_VERSION              = 11.3
+# CUDNN_VERSION             = 8
+BASE_RUNTIME              = reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04
+# BASE_DEVEL                = reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04
+BASE_DEVEL                = pytorch/pytorch:1.10.0-cuda11.3-cudnn8-devel
+
+
+MODELSCOPE_VERSION           = $(shell git describe --tags --always)
+
+# Can be either official / dev
+BUILD_TYPE                = dev
+BUILD_PROGRESS            = auto
+BUILD_ARGS                = --build-arg BASE_IMAGE=$(BASE_IMAGE)
+
+EXTRA_DOCKER_BUILD_FLAGS ?= --network=host
+# DOCKER_BUILD              = DOCKER_BUILDKIT=1 \
+# 							docker build \
+# 								--progress=$(BUILD_PROGRESS) \
+# 								$(EXTRA_DOCKER_BUILD_FLAGS) \
+# 								--target $(BUILD_TYPE) \
+# 								-t $(DOCKER_FULL_NAME):$(DOCKER_TAG) \
+# 								$(BUILD_ARGS) \
+#								-f docker/pytorch.dockerfile .
+DOCKER_BUILD              = DOCKER_BUILDKIT=1 \
+							docker build \
+								$(EXTRA_DOCKER_BUILD_FLAGS) \
+								-t $(DOCKER_FULL_NAME):$(DOCKER_TAG) \
+								$(BUILD_ARGS)  \
+								-f docker/pytorch.dockerfile .
+DOCKER_PUSH               = docker push $(DOCKER_FULL_NAME):$(DOCKER_TAG)
+
+.PHONY: all
+all: devel-image
+
+.PHONY: devel-image
+devel-image: BASE_IMAGE := $(BASE_DEVEL)
+devel-image: DOCKER_TAG := $(MODELSCOPE_VERSION)-devel
+devel-image:
+	$(DOCKER_BUILD)
+
+.PHONY: devel-push
+devel-push: BASE_IMAGE := $(BASE_DEVEL)
+devel-push: DOCKER_TAG := $(MODELSCOPE_VERSION)-devel
+devel-push:
+	$(DOCKER_PUSH)
+
+.PHONY: runtime-image
+runtime-image: BASE_IMAGE := $(BASE_RUNTIME)
+runtime-image: DOCKER_TAG := $(MODELSCOPE_VERSION)-runtime
+runtime-image:
+	$(DOCKER_BUILD)
+	docker tag $(DOCKER_FULL_NAME):$(DOCKER_TAG) $(DOCKER_FULL_NAME):latest
+
+.PHONY: runtime-push
+runtime-push: BASE_IMAGE := $(BASE_RUNTIME)
+runtime-push: DOCKER_TAG := $(MODELSCOPE_VERSION)-runtime
+runtime-push:
+	$(DOCKER_PUSH)
+
+.PHONY: clean
+clean:
+	-docker rmi -f $(shell docker images -q $(DOCKER_FULL_NAME))

README.md

@@ -1,2 +1,29 @@
 # ModelScope
 
+=======
+# Introduction
+
+[ModelScope]( https://www.modelscope.cn) is a “Model-as-a-Service” (MaaS) platform that seeks to bring together most advanced machine learning models from the AI community, and to streamline the process of leveraging AI models in real applications. The core ModelScope library enables developers to perform inference, training and evaluation, through rich layers of API designs that facilitate a unified experience across state-of-the-art models from different AI domains.
+
+The Python library offers the layered-APIs necessary for model contributors to integrate models from CV, NLP, Speech, Multi-Modality, as well as Scientific-computation, into the ModelScope ecosystem. Implementations for all these different models are encapsulated within the library in a way that allows easy and unified access. With such integration, model inference, finetuning, and evaluations can be done with only a few lines of codes. In the meantime, flexibilities are provided so that different components in the model applications can be customized as well, where necessary.
+
+Apart from harboring implementations of various models, ModelScope library also enables the necessary interactions with ModelScope backend services, particularly with the Model-Hub and Dataset-Hub. Such interactions facilitate management of  various entities (models and datasets) to be performed seamlessly under-the-hood, including entity lookup, version control, cache management, and many others.
+
+# Installation
+
+Please refer to [installation](https://modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85).
+
+# Get Started
+
+You can refer to [quick_start](https://modelscope.cn/docs/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B) for quick start.
+
+We also provide other documentations including:
+* [Introduction to tasks](https://modelscope.cn/docs/%E4%BB%BB%E5%8A%A1%E7%9A%84%E4%BB%8B%E7%BB%8D)
+* [Use pipeline for model inference](https://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%8E%A8%E7%90%86Pipeline)
+* [Finetune example](https://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E8%AE%AD%E7%BB%83Train)
+* [Preprocessing of data](https://modelscope.cn/docs/%E6%95%B0%E6%8D%AE%E7%9A%84%E9%A2%84%E5%A4%84%E7%90%86)
+* [Evaluation metrics](https://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E8%AF%84%E4%BC%B0)
+
+# License
+
+This project is licensed under the [Apache License (Version 2.0)](https://github.com/modelscope/modelscope/blob/master/LICENSE).

configs/README.md

@@ -0,0 +1 @@
+Each model should be associated with a configuration.json file hosted on modelscope model-hub, together with the model binaries. This folder serves the purpose of hosting example configuration, for reference.

configs/cv/configuration.json

@@ -0,0 +1,178 @@
+{
+    "framework": "pytorch",
+
+    "task": "image_classification",
+
+    "model": {
+        "type": "classification",
+        "pretrained": null,
+        "backbone": {
+            "type": "ResNet",
+            "depth": 50,
+            "out_indices": [
+                4
+            ],
+            "norm_cfg": {
+                "type": "BN"
+            }
+        },
+        "head": {
+            "type": "ClsHead",
+            "with_avg_pool": true,
+            "in_channels": 2048,
+            "loss_config": {
+                "type": "CrossEntropyLossWithLabelSmooth",
+                "label_smooth": 0
+            },
+            "num_classes": 1000
+        }
+    },
+
+    "dataset": {
+        "train": {
+            "type": "ClsDataset",
+            "data_source": {
+                "list_file": "data/imagenet_raw/meta/train_labeled.txt",
+                "root": "data/imagenet_raw/train/",
+                "type": "ClsSourceImageList"
+            }
+        },
+        "val": {
+            "type": "ClsDataset",
+            "data_source": {
+                "list_file": "data/imagenet_raw/meta/val_labeled.txt",
+                "root": "data/imagenet_raw/validation/",
+                "type": "ClsSourceImageList"
+            }
+        },
+        "test": {}
+    },
+
+
+    "preprocessor":{
+        "train": [
+                {
+                    "type": "RandomResizedCrop",
+                    "size": 224
+                },
+                {
+                    "type": "RandomHorizontalFlip"
+                },
+                {
+                    "type": "ToTensor"
+                },
+                {
+                    "type": "Normalize",
+                    "mean": [
+                        0.485,
+                        0.456,
+                        0.406
+                    ],
+                    "std": [
+                        0.229,
+                        0.224,
+                        0.225
+                    ]
+                },
+                {
+                    "type": "Collect",
+                    "keys": [
+                        "img",
+                        "gt_labels"
+                    ]
+                }
+       ],
+       "val": [
+                {
+                    "type": "Resize",
+                    "size": 256
+                },
+                {
+                    "type": "CenterCrop",
+                    "size": 224
+                },
+                {
+                    "type": "ToTensor"
+                },
+                {
+                    "type": "Normalize",
+                    "mean": [
+                        0.485,
+                        0.456,
+                        0.406
+                    ],
+                    "std": [
+                        0.229,
+                        0.224,
+                        0.225
+                    ]
+                },
+                {
+                    "type": "Collect",
+                    "keys": [
+                        "img",
+                        "gt_labels"
+                    ]
+                }
+       ]
+    },
+
+    "train": {
+        "work_dir": "./work_dir",
+        "dataloader": {
+            "batch_size_per_gpu": 2,
+            "workers_per_gpu": 1
+        },
+        "optimizer": {
+            "type": "SGD",
+            "lr": 0.01,
+            "options": {
+                "grad_clip": {
+                    "max_norm": 2.0
+                }
+            }
+        },
+        "lr_scheduler": {
+            "type": "StepLR",
+            "step_size": 2,
+            "options": {
+                "warmup": {
+                    "type": "LinearWarmup",
+                    "warmup_iters": 2
+
+                }
+            }
+        },
+        "hooks":
+            [
+                {
+                    "type": "CheckpointHook",
+                    "interval": 2
+                },
+                {
+                    "type": "TextLoggerHook",
+                    "interval": 1
+                },
+                {
+                    "type": "IterTimerHook"
+                },
+                {
+                    "type": "EvaluationHook",
+                    "interval": 1
+                }
+            ]
+    },
+
+    "evaluation": {
+        "dataloader": {
+            "batch_size_per_gpu": 2,
+            "workers_per_gpu": 1,
+            "shuffle": false
+        },
+        "metrics": ["accuracy", "precision", "recall"]
+    },
+    "pipeline": {
+        "type": "dummy"
+    }
+
+}

configs/examples/configuration.json

@@ -0,0 +1,7 @@
+{
+    "a": 1,
+    "b" : {
+        "c": [1,2,3],
+        "d" : "dd"
+    }
+}

configs/examples/configuration.py

@@ -0,0 +1,2 @@
+a = 1
+b = dict(c=[1, 2, 3], d='dd')

configs/examples/configuration.yaml

@@ -0,0 +1,4 @@
+a: 1
+b:
+  c: [1,2,3]
+  d: dd

configs/examples/plain_args.yaml

@@ -0,0 +1,5 @@
+model_dir: path/to/model
+lr: 0.01
+optimizer: Adam
+weight_decay: 1e-6
+save_checkpoint_epochs: 20

configs/examples/train.json

@@ -0,0 +1,131 @@
+{
+    "framework": "pytorch",
+
+    "task": "image_classification",
+
+    "model": {
+        "type": "Resnet50ForImageClassification",
+        "pretrained": null,
+        "backbone": {
+            "type": "ResNet",
+            "depth": 50,
+            "out_indices": [
+                4
+            ],
+            "norm_cfg": {
+                "type": "BN"
+            }
+        },
+        "head": {
+            "type": "ClsHead",
+            "with_avg_pool": true,
+            "in_channels": 2048,
+            "loss_config": {
+                "type": "CrossEntropyLossWithLabelSmooth",
+                "label_smooth": 0
+            },
+            "num_classes": 1000
+        }
+    },
+
+    "dataset": {
+        "train": {
+            "type": "ClsDataset",
+            "data_source": {
+                "list_file": "data/imagenet_raw/meta/train_labeled.txt",
+                "root": "data/imagenet_raw/train/",
+                "type": "ClsSourceImageList"
+            }
+        },
+        "val": {
+            "type": "ClsDataset",
+            "data_source": {
+                "list_file": "data/imagenet_raw/meta/val_labeled.txt",
+                "root": "data/imagenet_raw/validation/",
+                "type": "ClsSourceImageList"
+            }
+        }
+    },
+
+
+    "preprocessor":{
+        "train": [
+                {
+                    "type": "RandomResizedCrop",
+                    "size": 224
+                },
+                {
+                    "type": "RandomHorizontalFlip"
+                },
+                {
+                    "type": "ToTensor"
+                },
+                {
+                    "type": "Normalize",
+                    "mean": [
+                        0.485,
+                        0.456,
+                        0.406
+                    ],
+                    "std": [
+                        0.229,
+                        0.224,
+                        0.225
+                    ]
+                },
+                {
+                    "type": "Collect",
+                    "keys": [
+                        "img",
+                        "gt_labels"
+                    ]
+                }
+       ],
+       "val": [
+                {
+                    "type": "Resize",
+                    "size": 256
+                },
+                {
+                    "type": "CenterCrop",
+                    "size": 224
+                },
+                {
+                    "type": "ToTensor"
+                },
+                {
+                    "type": "Normalize",
+                    "mean": [
+                        0.485,
+                        0.456,
+                        0.406
+                    ],
+                    "std": [
+                        0.229,
+                        0.224,
+                        0.225
+                    ]
+                },
+                {
+                    "type": "Collect",
+                    "keys": [
+                        "img",
+                        "gt_labels"
+                    ]
+                }
+       ]
+    },
+
+    "train": {
+        "batch_size": 32,
+        "learning_rate": 0.00001,
+        "lr_scheduler_type": "cosine",
+        "num_epochs": 20
+    },
+
+    "evaluation": {
+        "batch_size": 32,
+        "metrics": ["accuracy", "precision", "recall"]
+    }
+
+}

configs/nlp/sbert_sentence_similarity.json

@@ -0,0 +1,87 @@
+{
+    "framework": "pytorch",
+    "task": "sentence-similarity",
+    "preprocessor": {
+      "type": "sen-sim-tokenizer",
+      "first_sequence": "sentence1",
+      "second_sequence": "sentence2"
+    },
+    "model": {
+        "type": "text-classification",
+        "backbone": {
+            "type": "structbert",
+            "prefix": "encoder",
+            "attention_probs_dropout_prob": 0.1,
+            "easynlp_version": "0.0.3",
+            "gradient_checkpointing": false,
+            "hidden_act": "gelu",
+            "hidden_dropout_prob": 0.1,
+            "hidden_size": 768,
+            "initializer_range": 0.02,
+            "intermediate_size": 3072,
+            "layer_norm_eps": 1e-12,
+            "max_position_embeddings": 512,
+            "num_attention_heads": 12,
+            "num_hidden_layers": 12,
+            "pad_token_id": 0,
+            "position_embedding_type": "absolute",
+            "transformers_version": "4.6.0.dev0",
+            "type_vocab_size": 2,
+            "use_cache": true,
+            "vocab_size": 21128
+        },
+        "head": {
+            "type": "text-classification",
+            "hidden_dropout_prob": 0.1,
+            "hidden_size": 768
+        }
+    },
+    "pipeline": {
+       "type": "sentence-similarity"
+    },
+    "train": {
+        "work_dir": "/tmp",
+        "dataloader": {
+            "batch_size_per_gpu": 2,
+            "workers_per_gpu": 1
+        },
+        "optimizer": {
+            "type": "SGD",
+            "lr": 0.01,
+            "options": {
+                "grad_clip": {
+                    "max_norm": 2.0
+                }
+            }
+        },
+        "lr_scheduler": {
+            "type": "StepLR",
+            "step_size": 2,
+            "options": {
+                "warmup": {
+                    "type": "LinearWarmup",
+                    "warmup_iters": 2
+                }
+            }
+        },
+        "hooks": [{
+            "type": "CheckpointHook",
+            "interval": 1
+        }, {
+            "type": "TextLoggerHook",
+            "interval": 1
+        }, {
+            "type": "IterTimerHook"
+        }, {
+            "type": "EvaluationHook",
+            "interval": 1
+        }]
+    },
+    "evaluation": {
+        "dataloader": {
+            "batch_size_per_gpu": 2,
+            "workers_per_gpu": 1,
+            "shuffle": false
+        }
+    }
+  }

configs/nlp/sequence_classification_trainer.yaml

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+# In current version, many arguments are not used in pipelines, so,
+# a tag `[being used]` will indicate which argument is being used
+version: v0.1
+framework: pytorch
+task: text-classification
+
+model:
+  path: bert-base-sst2
+  backbone:
+    type: bert
+    prefix: bert
+  attention_probs_dropout_prob: 0.1
+  bos_token_id: 0
+  eos_token_id: 2
+  hidden_act: elu
+  hidden_dropout_prob: 0.1
+  hidden_size: 768
+  initializer_range: 0.02
+  intermediate_size: 3072
+  layer_norm_eps: 1e-05
+  max_position_embeddings: 514
+  model_type: roberta
+  num_attention_heads: 12
+  num_hidden_layers: 12
+  pad_token_id: 1
+  type_vocab_size: 1
+  vocab_size: 50265
+  num_classes: 5
+
+
+col_index: &col_indexs
+  text_col: 0
+  label_col: 1
+
+dataset:
+  train:
+    <<: *col_indexs
+    file: ~
+  valid:
+    <<: *col_indexs
+    file: glue/sst2  # [being used]
+  test:
+    <<: *col_indexs
+    file: ~
+
+preprocessor:
+  type: Tokenize
+  tokenizer_name: /workspace/bert-base-sst2
+
+train:
+  batch_size: 256
+  learning_rate: 0.00001
+  lr_scheduler_type: cosine
+  num_steps: 100000
+
+evaluation: # [being used]
+  model_path: .cache/easynlp/
+  max_sequence_length: 128
+  batch_size: 32
+  metrics:
+    - accuracy
+    - f1

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+ {
+  "image": "train/COCO_train2014_000000496606.jpg",
+  "caption": [
+   "一只黄色的小狗趴在长椅上"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000043734.jpg",
+  "caption": [
+   "两只黑色的狗从水里翻着水花游过来"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000404748.jpg",
+  "caption": [
+   "两只长颈鹿站在岩石旁的草地上"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000574392.jpg",
+  "caption": [
+   "一个木制的公园长椅在森林里。"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000563734.jpg",
+  "caption": [
+   "许多公交车排成队在广场上停着。"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000197406.jpg",
+  "caption": [
+   "一个男人和一只长颈鹿站在沙滩上"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000473869.jpg",
+  "caption": [
+   "一个微笑的男人在厨房里做饭。"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000021183.jpg",
+  "caption": [
+   "一个年龄比较大，坐在街道旁座椅上的男人手里握着一个装着写有标语的板子的手推车",
+   "一个年老的男人坐在街道上的长椅上，手搭在面前放着告示牌的小推车上"
+  ]
+ }
+]

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+  "caption": [
+   "机场跑道的喷气式飞机正准备起飞。"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000412975.jpg",
+  "caption": [
+   "一个女孩走下台阶。"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000341725.jpg",
+  "caption": [
+   "窗台上蓝色的花瓶里有一束粉色的郁金香。"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000163020.jpg",
+  "caption": [
+   "一只海鸥在水面上飞翔。"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000177625.jpg",
+  "caption": [
+   "一男一女在聚会上玩电子游戏，男人的脚边趴着一只狗"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000275612.jpg",
+  "caption": [
+   "厕所中的一个马桶",
+   "浴室里，高档的马桶与各式洗浴用品一应俱全。"
+  ]
+ },
+ {
+  "image": "train/COCO_train2014_000000493952.jpg",
+  "caption": [
+   "一辆黑色轿车停在一栋大楼前。"
+  ]
+ },
+ {
+  "image": "val/COCO_val2014_000000044723.jpg",
+  "caption": [
+   "阴天下一张伦敦塔的照片。",
+   "一座大楼的顶端悬挂着钟表。"
+  ]
+ }
+]

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