Merge pull request #648 from mlcommons/version_update_for_development

Version update for development

.github/workflows/publish-nightly.yml

@@ -41,22 +41,33 @@ jobs:
       uses: actions/setup-python@v4
       with:
         python-version: '3.8'
+    - name: Check dev version
+      run: | # Get current canonical version, append current date as an identifier
+        currentVer=$(python -c "from GANDLF import version; print(version)")
+        if [[ $currentVer == *"dev"* ]]; then
+          echo "publish_nightly=true" >> $GITHUB_ENV
+        else
+          echo "publish_nightly=false" >> $GITHUB_ENV
+        fi  
     - name: Install dependencies
+      if: env.publish_nightly
       run: |
         python -m pip install --upgrade pip
         pip install scikit-build
         pip install -e .
         pip install build
     - name: Annotate version
+      if: env.publish_nightly
       run: | # Get current canonical version, append current date as an identifier
         currentVer=$(python -c "from GANDLF import version; print(version)")
         datestampnow=$(date +'%Y%m%d')
-        echo __version__ = \"$currentVer$datestampnow\" > ./GANDLF/version.py
-        
+        echo __version__ = \"$currentVer-dev$datestampnow\" > ./GANDLF/version.py        
         
     - name: Build package
+      if: env.publish_nightly
       run: python -m build
-    - name: Publish package
+    - name: Publish package    
+      if: env.publish_nightly
       uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
       with:
         user: __token__

GANDLF/version.py

@@ -1,3 +1,3 @@
 #!/usr/bin/env python3
 # -*- coding: UTF-8 -*-
-__version__ = "0.0.16"
+__version__ = "0.0.17-dev"

HISTORY.md

@@ -1,3 +1,6 @@
+## 0.0.17
+
+
 ## 0.0.16
 - Added a script "gandlf_deploy", allowing deployment of models into MLCubes (currently requires Docker)
 - ImageNet pre-trained models for UNet with variable encoders is now available

mlcube/workspace/config.yml

@@ -1,8 +1,8 @@
 # affix version
 version:
   {
-    minimum: 0.0.16,
-    maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
+    minimum: 0.0.17,
+    maximum: 0.0.17 # this should NOT be made a variable, but should be tested after every tag is created
   }
 verbose: True
 # Choose the model parameters here

samples/config_all_options.yaml

@@ -1,8 +1,8 @@
 # affix version
 version:
   {
-    minimum: 0.0.16,
-    maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
+    minimum: 0.0.17,
+    maximum: 0.0.17 # this should NOT be made a variable, but should be tested after every tag is created
   }
 ## Choose the model parameters here
 model:

samples/config_classification.yaml

@@ -1,8 +1,8 @@
 # affix version
 version:
   {
-    minimum: 0.0.16,
-    maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
+    minimum: 0.0.17,
+    maximum: 0.0.17 # this should NOT be made a variable, but should be tested after every tag is created
   }
 # Choose the model parameters here
 model:

samples/config_getting_started_classification_histo2d.yaml

@@ -94,7 +94,7 @@ scheduler:
 track_memory_usage: false
 verbose: false
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: true
 which_model: resunet

samples/config_getting_started_classification_rad3d.yaml

@@ -99,7 +99,7 @@ scheduler:
 track_memory_usage: false
 verbose: false
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: true
 which_model: resunet

samples/config_getting_started_regression_histo2d.yaml

@@ -59,7 +59,7 @@ scheduler:
 track_memory_usage: false
 verbose: false
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: true
 which_model: resunet

samples/config_getting_started_regression_rad3d.yaml

@@ -62,7 +62,7 @@ scheduler:
 track_memory_usage: false
 verbose: false
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: false
 which_model: resunet

samples/config_getting_started_segmentation_histo2d.yaml

@@ -66,6 +66,6 @@ scheduler:
 track_memory_usage: false
 verbose: true
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: true

samples/config_getting_started_segmentation_rad3d.yaml

@@ -89,6 +89,6 @@ scheduler:
 track_memory_usage: false
 verbose: true
 version:
-  maximum: 0.0.16
-  minimum: 0.0.16
+  maximum: 0.0.17
+  minimum: 0.0.17
 weighted_loss: true

samples/config_regression.yaml

@@ -1,8 +1,8 @@
 # affix version
 version:
   {
-    minimum: 0.0.16,
-    maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
+    minimum: 0.0.17,
+    maximum: 0.0.17 # this should NOT be made a variable, but should be tested after every tag is created
   }
 # Choose the model parameters here
 model:

samples/config_segmentation_brats.yaml

@@ -1,8 +1,8 @@
 # affix version
 version:
   {
-    minimum: 0.0.16,
-    maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
+    minimum: 0.0.17,
+    maximum: 0.0.17 # this should NOT be made a variable, but should be tested after every tag is created
   }
 # Choose the model parameters here
 model:

samples/config_segmentation_histology.yaml

@@ -1,8 +1,8 @@
 # affix version
 version:
   {
-    minimum: 0.0.16,
-    maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
+    minimum: 0.0.17,
+    maximum: 0.0.17 # this should NOT be made a variable, but should be tested after every tag is created
   }
 # Choose the model parameters here
 model:

testing/config_classification.yaml

@@ -55,7 +55,7 @@ save_output: false
 scaling_factor: 1
 scheduler: triangle
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: True
 which_model: resunet

testing/config_regression.yaml

@@ -38,7 +38,7 @@ save_output: false
 scaling_factor: 1
 scheduler: triangle
 version:
-  maximum: 0.0.16
+  maximum: 0.0.17
   minimum: 0.0.14
 weighted_loss: false
 which_model: resunet

testing/config_segmentation.yaml

@@ -3,7 +3,7 @@
 version:
   {
     minimum: 0.0.14,
-    maximum: 0.0.16
+    maximum: 0.0.17
   }
 model:
   {