functional windows lightgbm images (#144)

.github/workflows/docker_images.yml

@@ -14,7 +14,7 @@ on:
 
 jobs:
 
-  build:
+  linux_container_build:
 
     runs-on: ubuntu-latest
 
@@ -44,3 +44,28 @@ jobs:
       if: steps.dockerfile-changed.outputs.changed == 'true'
       run: docker build . --file ${{ matrix.dockerfile }} --tag temp:$(date +%s)
       working-directory: docker/
+
+  windows_container_build:
+
+    runs-on: windows-latest
+
+    strategy:
+      matrix:
+        dockerfile:
+          - lightgbm-v3.2.1/windows_cpu_pip.dockerfile
+          - lightgbm-v3.3.0/windows_cpu_pip.dockerfile
+
+    steps:
+    - uses: actions/checkout@v2
+      with:
+        fetch-depth: 0
+
+    - uses: marceloprado/has-changed-path@v1
+      id: dockerfile-changed
+      with:
+        paths: docker/${{ matrix.dockerfile}}
+
+    - name: Build the Docker image
+      if: steps.dockerfile-changed.outputs.changed == 'true'
+      run: docker build . --file ${{ matrix.dockerfile }} --tag temp:$(date +%s)
+      working-directory: docker/

docker/lightgbm-v3.2.1/windows_cpu_pip.dockerfile

@@ -0,0 +1,26 @@
+FROM mcr.microsoft.com/azureml/windows-servercore-1809:latest
+LABEL lightgbmbenchmark.windows.cpu.mpi.pip.version="3.2.1/20211103.1"
+
+ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
+
+# Create conda environment
+RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
+    python=3.8 pip=20.2.4
+
+# Prepend path to AzureML conda environment
+#ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
+
+# Install pip dependencies
+RUN pip install 'pandas>=1.1,<1.2' \
+                'numpy>=1.10,<1.20' \
+                'scipy~=1.5.0' \
+                'scikit-learn~=0.24.1' \
+                'azureml-core==1.30.0' \
+                'azureml-defaults==1.30.0' \
+                'azureml-mlflow==1.30.0' \
+                'azureml-telemetry==1.30.0' \
+                'lightgbm==3.2.1'
+
+# This is needed for mpi to locate libpython
+ENV LD_LIBRARY_PATH $AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
+

docker/lightgbm-v3.3.0/windows_cpu_pip.dockerfile

@@ -0,0 +1,26 @@
+FROM mcr.microsoft.com/azureml/windows-servercore-1809:latest
+LABEL lightgbmbenchmark.windows.cpu.mpi.pip.version="3.3.0/20211103.1"
+
+ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/lightgbm
+
+# Create conda environment
+RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
+    python=3.8 pip=20.2.4
+
+# Prepend path to AzureML conda environment
+#ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH
+
+# Install pip dependencies
+RUN pip install 'pandas>=1.1,<1.2' \
+                'numpy>=1.10,<1.20' \
+                'scipy~=1.5.0' \
+                'scikit-learn~=0.24.1' \
+                'azureml-core==1.30.0' \
+                'azureml-defaults==1.30.0' \
+                'azureml-mlflow==1.30.0' \
+                'azureml-telemetry==1.30.0' \
+                'lightgbm==3.3.0'
+
+# This is needed for mpi to locate libpython
+ENV LD_LIBRARY_PATH $AZUREML_CONDA_ENVIRONMENT_PATH/lib:$LD_LIBRARY_PATH
+