Add cudatoolkit=11.1 to environment.yml

CHANGELOG.md

@@ -57,6 +57,7 @@ gets uploaded to AzureML, by skipping all test folders.
 - ([#594](https://github.com/microsoft/InnerEye-DeepLearning/pull/594)) Pytorch is now non-deterministic by default. Upgrade to AzureML-SDK 1.36
 - ([#566](https://github.com/microsoft/InnerEye-DeepLearning/pull/566)) Update `hi-ml` dependency to `hi-ml-azure`.
 - ([#572](https://github.com/microsoft/InnerEye-DeepLearning/pull/572)) Updated to new version of hi-ml package
+- ([#596](https://github.com/microsoft/InnerEye-DeepLearning/pull/596)) Add `cudatoolkit=11.1` specification to environment.yml.
 
 ### Fixed
 - ([#593](https://github.com/microsoft/InnerEye-DeepLearning/pull/593)) Bug fix for hi-ml 0.1.11 issue (#130): empty mount point is turned into ".", which fails the AML job
@@ -98,6 +99,7 @@ in inference-only runs when using lightning containers.
   `ScalarModelBase` can be implemented to compute the loss and metrics in a task-specific manner.
 - ([#554](https://github.com/microsoft/InnerEye-DeepLearning/pull/554)) Removed cryptography from list of invalid
   packages in `test_invalid_python_packages` as it is already present as a dependency in our conda environment.
+- ([#596](https://github.com/microsoft/InnerEye-DeepLearning/pull/596)) Removed obsolete `TrainGlaucomaCV` from PR build.
 
 ### Deprecated
 

azure-pipelines/build-pr.yml

@@ -134,30 +134,6 @@ jobs:
           pytest_mark: after_training_2node
           test_run_title: tests_after_training_2node_run
 
-  # Train a classification model in cross validation mode
-  - job: TrainGlaucomaCV
-    variables:
-      - name: model
-        value: 'GlaucomaPublic'
-      - name: tag
-        value: 'GlaucomaPR'
-      - name: number_of_cross_validation_splits
-        value: 2
-      - name: more_switches
-        value: '--num_epochs=2 --regression_test_folder=RegressionTestResults/PR_GlaucomaCV'
-    pool:
-      vmImage: 'ubuntu-18.04'
-    steps:
-      - template: train_template.yml
-        parameters:
-          wait_for_completion: 'True'
-          pytest_mark: ''
-          max_run_duration: '1h'
-      - template: tests_after_training.yml
-        parameters:
-          pytest_mark: after_training_glaucoma_cv_run
-          test_run_title: tests_after_training_glaucoma_cv_run
-
   - job: TrainHelloWorld
     variables:
       - name: model
@@ -182,7 +158,7 @@ jobs:
       - name: tag
         value: 'HelloContainerPR'
       - name: more_switches
-        value: '--num_nodes=2 --regression_test_folder=RegressionTestResults/PR_HelloContainer'
+        value: '--num_nodes=2 --max_num_gpus=2 --regression_test_folder=RegressionTestResults/PR_HelloContainer'
     pool:
       vmImage: 'ubuntu-18.04'
     steps:

environment.yml

@@ -2,7 +2,9 @@ name: InnerEye
 channels:
   - defaults
   - pytorch
+  - conda-forge
 dependencies:
+  - cudatoolkit=11.1
   - pip=20.1.1
   - python=3.7.3
   - pytorch=1.8.0