updated test

.ci/templates/unit-test-steps.yml

@@ -14,8 +14,7 @@ steps:
 - bash: |
     source activate cv
     python -m ipykernel install --user --name cv --display-name "cv"
-    pytest --durations 100 tests/unit --junitxml=junit/test-unitttest.xml
-    pytest --durations 100 tests/integration --junitxml=junit/test-unitttest.xml
+    pytest --durations 100 tests --junitxml=junit/test-unitttest.xml
   displayName: 'Run unit and (only on Linux GPU) integration tests'
 
 - bash: |

utils_cv/common/gpu.py

@@ -11,3 +11,12 @@ def which_processor():
         print(f"Fast.ai (Torch) is using GPU: {get_device_name(device_nr)}")
     else:
         print("Cuda is not available. Fast.ai/Torch is using CPU")
+
+
+# Helper function to check if GPU machine which linux.
+# Integration tests are too slow on Windows/CPU machines.
+def linux_with_gpu():
+    """Returns if machine is running an Linux OS and has a GPU"""
+    is_linux = platform.system().lower() == "linux"
+    has_gpu = is_available()
+    return is_linux and has_gpu