Skip test_event_handle_multi_gpu() on a single GPU system (#17402)

Summary:
This fixes the following test failure:

```
======================================================================
ERROR: test_event_handle_multi_gpu (__main__.TestMultiprocessing)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "test_multiprocessing.py", line 445, in test_event_handle_multi_gpu
    with torch.cuda.device(d1):
  File "/home/stefan/rel/lib/python3.7/site-packages/torch/cuda/__init__.py", line 229, in __enter__
    torch._C._cuda_setDevice(self.idx)
RuntimeError: cuda runtime error (10) : invalid device ordinal at /home/stefan/pytorch/torch/csrc/cuda/Module.cpp:33
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17402

Differential Revision: D14195190

Pulled By: soumith

fbshipit-source-id: e911f3782875856de3cfbbd770b6d0411d750279

diff --git a/test/test_multiprocessing.py b/test/test_multiprocessing.py
index 46122b7..f5fa8ee 100644 (file)
--- a/test/test_multiprocessing.py
+++ b/test/test_multiprocessing.py
@@ -436,6 +436,7 @@ class TestMultiprocessing(TestCase):
     @unittest.skipIf(NO_MULTIPROCESSING_SPAWN, "Disabled for environments that \
                      don't support multiprocessing with spawn start method")
     @unittest.skipIf(not TEST_CUDA_IPC, 'CUDA IPC not available')
+    @unittest.skipIf(not TEST_MULTIGPU, 'found only 1 GPU')
     def test_event_handle_multi_gpu(self):
         d0 = torch.device('cuda:0')
         d1 = torch.device('cuda:1')