Test CI error

Author: carmocca

.azure-pipelines/gpu-tests.yml

@@ -74,46 +74,46 @@ jobs:
       displayName: 'Get legacy checkpoints'
 
     - bash: |
-        python -m coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --junitxml=$(Build.StagingDirectory)/test-results.xml --durations=50
+        pytest tests/accelerators/test_ddp.py::test_ddp_torch_dist_is_available_in_setup tests/models/test_hooks.py::test_ci_bug -v
       displayName: 'Testing: standard'
 
-    - bash: |
-        bash tests/special_tests.sh
-      displayName: 'Testing: special'
-
-    - bash: |
-        python -m coverage report
-        python -m coverage xml
-        python -m coverage html
-        python -m codecov --token=$(CODECOV_TOKEN) --commit=$(Build.SourceVersion) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
-        ls -l
-      displayName: 'Statistics'
-
-    - task: PublishTestResults@2
-      displayName: 'Publish test results'
-      inputs:
-        testResultsFiles: '$(Build.StagingDirectory)/test-results.xml'
-        testRunTitle: '$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)'
-      condition: succeededOrFailed()
-
-    - task: PublishCodeCoverageResults@1
-      displayName: 'Publish coverage report'
-      inputs:
-        codeCoverageTool: 'cobertura'
-        summaryFileLocation: 'coverage.xml'
-        reportDirectory: '$(Build.SourcesDirectory)/htmlcov'
-        testRunTitle: '$(Agent.OS) - $(Build.BuildNumber)[$(Agent.JobName)] - Python $(python.version)'
-      condition: succeededOrFailed()
-
-    - bash: |
-        python -m pytest benchmarks -v --maxfail=2 --durations=0
-      displayName: 'Testing: benchmarks'
-
-    - script: |
-        set -e
-        python -m pytest pl_examples -v --maxfail=2 --durations=0
-        bash pl_examples/run_examples-args.sh --trainer.gpus 1 --trainer.max_epochs 1 --data.batch_size 64 --trainer.limit_train_batches 5 --trainer.limit_val_batches 3
-        bash pl_examples/run_ddp-examples.sh --trainer.max_epochs 1 --data.batch_size 32 --trainer.limit_train_batches 2 --trainer.limit_val_batches 2
-      env:
-        PL_USE_MOCKED_MNIST: "1"
-      displayName: 'Examples'
+    #- bash: |
+    #    bash tests/special_tests.sh
+    #  displayName: 'Testing: special'
+#
+    #- bash: |
+    #    python -m coverage report
+    #    python -m coverage xml
+    #    python -m coverage html
+    #    python -m codecov --token=$(CODECOV_TOKEN) --commit=$(Build.SourceVersion) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
+    #    ls -l
+    #  displayName: 'Statistics'
+#
+    #- task: PublishTestResults@2
+    #  displayName: 'Publish test results'
+    #  inputs:
+    #    testResultsFiles: '$(Build.StagingDirectory)/test-results.xml'
+    #    testRunTitle: '$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)'
+    #  condition: succeededOrFailed()
+#
+    #- task: PublishCodeCoverageResults@1
+    #  displayName: 'Publish coverage report'
+    #  inputs:
+    #    codeCoverageTool: 'cobertura'
+    #    summaryFileLocation: 'coverage.xml'
+    #    reportDirectory: '$(Build.SourcesDirectory)/htmlcov'
+    #    testRunTitle: '$(Agent.OS) - $(Build.BuildNumber)[$(Agent.JobName)] - Python $(python.version)'
+    #  condition: succeededOrFailed()
+#
+    #- bash: |
+    #    python -m pytest benchmarks -v --maxfail=2 --durations=0
+    #  displayName: 'Testing: benchmarks'
+#
+    #- script: |
+    #    set -e
+    #    python -m pytest pl_examples -v --maxfail=2 --durations=0
+    #    bash pl_examples/run_examples-args.sh --trainer.gpus 1 --trainer.max_epochs 1 --data.batch_size 64 --trainer.limit_train_batches 5 --trainer.limit_val_batches 3
+    #    bash pl_examples/run_ddp-examples.sh --trainer.max_epochs 1 --data.batch_size 32 --trainer.limit_train_batches 2 --trainer.limit_val_batches 2
+    #  env:
+    #    PL_USE_MOCKED_MNIST: "1"
+    #  displayName: 'Examples'

tests/models/test_hooks.py

@@ -378,6 +378,28 @@ def _predict_batch(trainer, model, batches):
         return out
 
 
+@RunIf(deepspeed=True, min_gpus=1)
+def test_ci_bug(tmpdir):
+    called = []
+    model = HookedModel(called)
+    callback = HookedCallback(called)
+    train_batches = 2
+    val_batches = 2
+    trainer = Trainer(
+        default_root_dir=tmpdir,
+        max_epochs=1,
+        limit_train_batches=train_batches,
+        limit_val_batches=val_batches,
+        progress_bar_refresh_rate=0,
+        weights_summary=None,
+        callbacks=[callback],
+        gpus=1,
+        precision=16,
+        plugins='deepspeed',
+    )
+    trainer.fit(model)
+
+
 @pytest.mark.parametrize(
     'kwargs',
     [