jakubhejhal
diff --git a/‎.circleci/config.yml
+34-31 b/‎.circleci/config.yml
+34-31
diff --git a/‎.circleci/docker/Dockerfile
+41 b/‎.circleci/docker/Dockerfile
+41
diff --git a/‎.circleci/scripts/linux/build.sh
+16 b/‎.circleci/scripts/linux/build.sh
+16
diff --git a/‎.circleci/scripts/linux/convert_onnxruntime.sh
+18 b/‎.circleci/scripts/linux/convert_onnxruntime.sh
+18
diff --git a/‎.circleci/scripts/linux/install_onnxruntime.sh
+30 b/‎.circleci/scripts/linux/install_onnxruntime.sh
+30
diff --git a/‎.circleci/scripts/linux/install_python.sh
+17 b/‎.circleci/scripts/linux/install_python.sh
+17
diff --git a/‎.circleci/scripts/windows/install_onnxruntime.ps1
+19 b/‎.circleci/scripts/windows/install_onnxruntime.ps1
+19
diff --git a/‎.circleci/scripts/windows/install_opencv.ps1
+3 b/‎.circleci/scripts/windows/install_opencv.ps1
+3
@@ -1,36 +1,39 @@
-# Use the latest 2.1 version of CircleCI pipeline process engine.
-# See: https://circleci.com/docs/2.0/configuration-reference
 version: 2.1
 
-# Define a job to be invoked later in a workflow.
-# See: https://circleci.com/docs/2.0/configuration-reference/#jobs
-jobs:
-  lint:
-    # Specify the execution environment. You can specify an image from Dockerhub or use one of our Convenience Images from CircleCI's Developer Hub.
-    # See: https://circleci.com/docs/2.0/configuration-reference/#docker-machine-macos-windows-executor
-    docker:
-      - image: cimg/python:3.7.4
-    # Add steps to the job
-    # See: https://circleci.com/docs/2.0/configuration-reference/#steps
-    steps:
-      - checkout
-      - run:
-          name: Install pre-commit hook
-          command: |
-            pip install pre-commit
-            pre-commit install
-      - run:
-          name: Linting
-          command: pre-commit run --all-files
-      - run:
-          name: Check docstring coverage
-          command: |
-            pip install interrogate
-            interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 80 mmdeploy
+# this allows you to use CircleCI's dynamic configuration feature
+setup: true
+
+# the path-filtering orb is required to continue a pipeline based on
+# the path of an updated fileset
+orbs:
+  path-filtering: circleci/[email protected]
 
-# Invoke jobs via workflows
-# See: https://circleci.com/docs/2.0/configuration-reference/#workflows
 workflows:
-  pr_stage_test:
+  # the always-run workflow is always triggered, regardless of the pipeline parameters.
+  always-run:
     jobs:
-      - lint
+      # the path-filtering/filter job determines which pipeline
+      # parameters to update.
+      - path-filtering/filter:
+          name: check-updated-files
+          # 3-column, whitespace-delimited mapping. One mapping per
+          # line:
+          # <regex path-to-test> <parameter-to-set> <value-of-pipeline-parameter>
+          mapping: |
+            .circle/.* lint_only false
+            cmake/.* lint_only false
+            configs/.* lint_only false
+            csrc/.* lint_only false
+            demo/csrc/.* lint_only false
+            docker/.* lint_only false
+            mmdeploy/.* lint_only false
+            requirements/.* lint_only false
+            tests/.* lint_only false
+            third_party/.* lint_only false
+            tools/.* lint_only false
+          base-revision: master
+          # this is the path of the configuration we should trigger once
+          # path filtering and pipeline parameter value updates are
+          # complete. In this case, we are using the parent dynamic
+          # configuration itself.
+          config-path: .circleci/test.yml
@@ -0,0 +1,41 @@
+FROM nvcr.io/nvidia/tensorrt:21.04-py3
+
+ARG CUDA=11.3
+ARG PYTHON_VERSION=3.8
+ARG TORCH_VERSION=1.10.0
+ARG TORCHVISION_VERSION=0.11.0
+ARG MMCV_VERSION=1.5.0
+ARG PPLCV_VERSION=0.7.0
+ENV FORCE_CUDA="1"
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+### update apt and install libs
+RUN apt-get update &&\
+    apt-get install -y libopencv-dev --no-install-recommends &&\
+    rm -rf /var/lib/apt/lists/*
+
+RUN curl -fsSL -v -o ~/miniconda.sh -O  https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh  && \
+    chmod +x ~/miniconda.sh && \
+    ~/miniconda.sh -b -p /opt/conda && \
+    rm ~/miniconda.sh && \
+    /opt/conda/bin/conda install -y python=${PYTHON_VERSION} && \
+    /opt/conda/bin/conda clean -ya
+
+### pytorch
+RUN /opt/conda/bin/conda install pytorch==${TORCH_VERSION} torchvision==${TORCHVISION_VERSION} cudatoolkit=${CUDA} -c pytorch -c conda-forge
+ENV PATH /opt/conda/bin:$PATH
+
+### install mmcv-full
+RUN /opt/conda/bin/pip install mmcv-full==${MMCV_VERSION} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${TORCH_VERSION}/index.html
+
+WORKDIR /workspace
+
+### build ppl.cv
+RUN git clone https://github.com/openppl-public/ppl.cv.git &&\
+    cd ppl.cv &&\
+    git checkout tags/v${PPLCV_VERSION} -b v${PPLCV_VERSION} &&\
+    ./build.sh cuda
+
+# RUN ln -sf /opt/conda /home/circleci/project/conda
+ENV TENSORRT_DIR=/workspace/tensorrt
@@ -0,0 +1,16 @@
+#!/bin/bash
+
+ARGS=("$@")
+
+cd mmdeploy
+MMDEPLOY_DIR=$(pwd)
+mkdir -p build && cd build
+cmake .. -DMMDEPLOY_BUILD_SDK=ON -DMMDEPLOY_BUILD_TEST=ON -DMMDEPLOY_BUILD_SDK_PYTHON_API=ON \
+         -DMMDEPLOY_BUILD_SDK_CXX_API=ON -DMMDEPLOY_BUILD_SDK_CSHARP_API=ON \
+         -DMMDEPLOY_TARGET_DEVICES="$1" -DMMDEPLOY_TARGET_BACKENDS="$2" "${ARGS[@]:2}"
+
+make -j$(nproc) && make install
+cd install/example
+mkdir -p build
+cd build
+cmake ../cpp -DMMDeploy_DIR="$MMDEPLOY_DIR"/build/install/lib/cmake/MMDeploy "${ARGS[@]:2}" && make -j$(nproc)
@@ -0,0 +1,18 @@
+#!/bin/bash
+
+if [ $# != 2 ]; then
+    echo "wrong command. usage: bash converter.sh <codebase> <work dir>"
+    exit 1
+fi
+
+if [ "$1" == 'mmcls' ]; then
+    python3 -m pip install mmcls
+    git clone --recursive https://github.com/open-mmlab/mmclassification.git
+    wget https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth
+    python3 mmdeploy/tools/deploy.py \
+            mmdeploy/configs/mmcls/classification_onnxruntime_dynamic.py \
+            mmclassification/configs/resnet/resnet18_8xb32_in1k.py \
+            resnet18_8xb32_in1k_20210831-fbbb1da6.pth \
+            mmclassification/demo/demo.JPEG \
+            --work-dir "$2" --dump-info
+fi
@@ -0,0 +1,30 @@
+#!/bin/bash
+
+if [ $# != 2 ]; then
+    echo "wrong command. usage: bash install_onnxruntime.sh <cpu|cuda> <version>"
+    exit 1
+fi
+
+PLATFORM=$1
+VERSION=$2
+
+if [ "$PLATFORM" == 'cpu' ]; then
+    python -m pip install onnxruntime=="$VERSION"
+
+    wget https://github.com/microsoft/onnxruntime/releases/download/v"$VERSION"/onnxruntime-linux-x64-"$VERSION".tgz
+    tar -zxvf onnxruntime-linux-x64-"$VERSION".tgz
+    ln -sf onnxruntime-linux-x64-"$VERSION" onnxruntime
+elif [ "$PLATFORM" == 'cuda' ]; then
+    pip install onnxruntime-gpu=="$VERSION"
+
+    wget https://github.com/microsoft/onnxruntime/releases/download/v"$VERSION"/onnxruntime-linux-x64-gpu-"$VERSION".tgz
+    tar -zxvf onnxruntime-linux-x64-gpu-"$VERSION".tgz
+    ln -sf onnxruntime-linux-x64-gpu-"$VERSION" onnxruntime
+else
+    echo "'$PLATFORM' is not supported"
+    exit 1
+fi
+
+export ONNXRUNTIME_DIR=$(pwd)/onnxruntime
+echo "export ONNXRUNTIME_DIR=${ONNXRUNTIME_DIR}" >> ~/.bashrc
+echo "export LD_LIBRARY_PATH=$ONNXRUNTIME_DIR/lib:$LD_LIBRARY_PATH" >> ~/.bashrc
@@ -0,0 +1,17 @@
+#!/bin/bash
+
+if [ $# -lt 1 ]; then
+  echo 'use python 3.8.5 as default'
+  PYTHON_VERSION=3.8.5
+else
+  PYTHON_VERSION=$1
+fi
+
+sudo apt-get update
+# liblzma-dev need to be installed. Refer to https://github.com/pytorch/vision/issues/2921
+# python3-tk tk-dev is for 'import tkinter'
+sudo apt-get install -y liblzma-dev python3-tk tk-dev
+# python3+ need to be reinstalled due to https://github.com/pytorch/vision/issues/2921
+pyenv uninstall -f "$PYTHON_VERSION"
+pyenv install "$PYTHON_VERSION"
+pyenv global "$PYTHON_VERSION"
@@ -0,0 +1,19 @@
+if ($args.Count -lt 2) {
+    Write-Host "wrong command. usage: intall_onnxruntime.ps1 <cpu|cuda> <version>"
+    Exit 1
+}
+
+$platform = $args[0]
+$version = $args[1]
+
+if ($platform -eq "cpu") {
+    python -m pip install onnxruntime==$version
+    Invoke-WebRequest -Uri https://github.com/microsoft/onnxruntime/releases/download/v$version/onnxruntime-win-x64-$version.zip -OutFile onnxruntime.zip
+    Expand-Archive onnxruntime.zip .
+    Move-Item onnxruntime-win-x64-$version onnxruntime
+} elseif ($platform == "cuda") {
+    Write-Host "TODO: install onnxruntime-gpu"
+    Exit
+} else {
+    Write-Host "'$platform' is not supported"
+}
@@ -0,0 +1,3 @@
+Invoke-WebRequest -Uri https://download.openmmlab.com/mmdeploy/library/opencv-4.5.5.zip -OutFile opencv.zip
+Expand-Archive opencv.zip .
+Move-Item opencv-4.5.5 opencv
Original file line number	Diff line number	Diff line change
`@@ -0,0 +1,3 @@`
	`1`	`+Invoke-WebRequest -Uri https://download.openmmlab.com/mmdeploy/library/opencv-4.5.5.zip -OutFile opencv.zip`
	`2`	`+Expand-Archive opencv.zip .`
	`3`	`+Move-Item opencv-4.5.5 opencv`