Revert debug

.azure/gpu-tests-lite.yml

@@ -78,10 +78,33 @@ jobs:
         python -c "import torch ; mgpu = torch.cuda.device_count() ; assert mgpu == 2, f'GPU: {mgpu}'"
       displayName: 'Env details'
 
+    - bash: python -m coverage run --source lightning_lite -m pytest --ignore benchmarks -v --junitxml=$(Build.StagingDirectory)/test-results.xml --durations=50
+      env:
+        PL_RUN_CUDA_TESTS: "1"
+      workingDirectory: tests/tests_lite
+      displayName: 'Testing: Lite standard'
+      timeoutInMinutes: "10"
+
     - bash: bash run_standalone_tests.sh
       workingDirectory: tests/tests_lite
       env:
         PL_RUN_CUDA_TESTS: "1"
         PL_STANDALONE_TESTS_SOURCE: "lightning_lite"
       displayName: 'Testing: Lite standalone tests'
       timeoutInMinutes: "10"
+
+    - bash: |
+        python -m coverage report
+        python -m coverage xml
+        python -m coverage html
+        python -m codecov --token=$(CODECOV_TOKEN) --commit=$(Build.SourceVersion) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
+        ls -l
+      workingDirectory: tests/tests_lite
+      displayName: 'Statistics'
+
+    - task: PublishTestResults@2
+      displayName: 'Publish test results'
+      inputs:
+        testResultsFiles: '$(Build.StagingDirectory)/test-results.xml'
+        testRunTitle: '$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)'
+      condition: succeededOrFailed()

.azure/gpu-tests-pytorch.yml

@@ -130,6 +130,20 @@ jobs:
         python requirements/pytorch/check-avail-extras.py
       displayName: 'Env details'
 
+    - bash: bash .actions/pull_legacy_checkpoints.sh
+      displayName: 'Get legacy checkpoints'
+
+    - bash: python -m pytest pytorch_lightning
+      workingDirectory: src
+      displayName: 'Testing: PyTorch doctests'
+
+    - bash: python -m coverage run --source pytorch_lightning -m pytest --ignore benchmarks -v --junitxml=$(Build.StagingDirectory)/test-results.xml --durations=50
+      env:
+        PL_RUN_CUDA_TESTS: "1"
+      workingDirectory: tests/tests_pytorch
+      displayName: 'Testing: PyTorch standard'
+      timeoutInMinutes: "35"
+
     - bash: bash run_standalone_tests.sh
       workingDirectory: tests/tests_pytorch
       env:
@@ -138,3 +152,44 @@ jobs:
         PL_STANDALONE_TESTS_SOURCE: "pytorch_lightning"
       displayName: 'Testing: PyTorch standalone tests'
       timeoutInMinutes: "35"
+
+    - bash: bash run_standalone_tasks.sh
+      workingDirectory: tests/tests_pytorch
+      env:
+        PL_USE_MOCKED_MNIST: "1"
+        PL_RUN_CUDA_TESTS: "1"
+      displayName: 'Testing: PyTorch standalone tasks'
+      timeoutInMinutes: "10"
+
+    - bash: |
+        python -m coverage report
+        python -m coverage xml
+        python -m coverage html
+        python -m codecov --token=$(CODECOV_TOKEN) --commit=$(Build.SourceVersion) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
+        ls -l
+      workingDirectory: tests/tests_pytorch
+      displayName: 'Statistics'
+
+    - task: PublishTestResults@2
+      displayName: 'Publish test results'
+      inputs:
+        testResultsFiles: '$(Build.StagingDirectory)/test-results.xml'
+        testRunTitle: '$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)'
+      condition: succeededOrFailed()
+
+    - script: |
+        set -e
+        bash run_ddp_examples.sh
+        bash run_pl_examples.sh --trainer.accelerator=gpu --trainer.devices=1
+        bash run_pl_examples.sh --trainer.accelerator=gpu --trainer.devices=2 --trainer.strategy=ddp
+        bash run_pl_examples.sh --trainer.accelerator=gpu --trainer.devices=2 --trainer.strategy=ddp --trainer.precision=16
+      workingDirectory: examples
+      env:
+        PL_USE_MOCKED_MNIST: "1"
+      displayName: 'Testing: PyTorch examples'
+
+    - bash: python -m pytest benchmarks -v --maxfail=2 --durations=0
+      workingDirectory: tests/tests_pytorch
+      env:
+        PL_RUN_CUDA_TESTS: "1"
+      displayName: 'Testing: PyTorch benchmarks'