Run test ops tests from outside of pytorch root folder (#1676)

.github/scripts/validate_test_ops.sh

@@ -20,7 +20,7 @@ pushd pytorch
 
 pip install expecttest numpy pyyaml jinja2 packaging hypothesis unittest-xml-reporting scipy
 
-# Run pytorch cuda wheels validation 
+# Run pytorch cuda wheels validation
 # Detect ReduceLogicKernel (ReduceOp and kernel) IMA
 python test/test_ops.py -k test_dtypes_all_cuda
 # Detect BinaryMulKernel (elementwise binary functor internal mul) IMA
@@ -29,7 +29,10 @@ python test/test_torch.py -k test_index_reduce_reduce_prod_cuda_int32
 python test/test_binary_ufuncs.py -k test_contig_vs_every_other___rand___cuda_int32
 # Detect MaxMinElementwiseKernel (maximum) IMA
 python test/test_schema_check.py -k test_schema_correctness_clamp_cuda_int8
+
+pushd /tmp
 # Detect StepKernel (nextafter) IMA
 python -c "import torch; print(torch.nextafter(torch.tensor([-4.5149, -5.9053, -0.9516, -2.3615,  1.5591], device='cuda:0'), torch.tensor(3.8075, device='cuda:0')))"
 # Detect BinaryGeometricKernels (atan2) IMA
 python -c "import torch; x = (torch.randn((2,1,1), dtype=torch.float, device='cuda')*5).to(torch.float32); y=(torch.randn((), dtype=torch.float, device='cuda')*5).to(torch.float32); print(torch.atan2(x,y))"
+popd