# Author: Caspar van Leeuwen
# Company: SURF
# Test 'test_fn_grad_linalg_det_singular_cpu_complex128' and test_variant_consistency_jit_contiguous_cpu_float32 fail
# See https://github.com/pytorch/pytorch/issues/67767 and https://github.com/pytorch/pytorch/issues/67838
# For the first one, devs recommended to switch it off while they revisit the code.
# For the second: the test works interactively when run with
# python -m unittest test_ops.TestJitCPU.test_variant_consistency_jit_contiguous_cpu_float32 -v
# This shows there is no fundamental problem with the installation,
# but something in the environment when run as 'python run_test.py' makes it fail.
diff -Nru pytorch-1.11.0-rc3.orig/torch/testing/_internal/common_methods_invocations.py pytorch-1.11.0-rc3/torch/testing/_internal/common_methods_invocations.py
--- pytorch-1.11.0-rc3.orig/torch/testing/_internal/common_methods_invocations.py	2022-02-24 18:07:16.430276050 +0100
+++ pytorch-1.11.0-rc3/torch/testing/_internal/common_methods_invocations.py	2022-02-24 19:38:11.610293957 +0100
@@ -8791,7 +8791,10 @@
            supports_fwgrad_bwgrad=True,
            autodiff_fusible_nodes=['aten::contiguous'],
            assert_jit_shape_analysis=True,
-           supports_out=False),
+           supports_out=False,
+           skips=(
+               DecorateInfo(unittest.skip("Skipped!"), 'TestJit', 'test_variant_consistency_jit', device_type='cpu'),
+           )),
     OpInfo('sum_to_size',
            op=lambda x, *args, **kwargs: x.sum_to_size(*args, **kwargs),
            dtypes=floating_and_complex_types_and(torch.float16, torch.bfloat16),
@@ -9746,6 +9749,10 @@
                DecorateInfo(unittest.skip("Skipped!"), 'TestMathBits', 'test_neg_view', device_type='cuda'),
                DecorateInfo(unittest.skip("Skipped!"), 'TestCommon', 'test_dtypes'),
                DecorateInfo(unittest.skip("Skipped!"), 'TestGradients', 'test_fn_gradgrad'),
+               # It also breaks on CPU. We'll revisit this once `linalg.lu_solve` is a thing
+               # See https://github.com/pytorch/pytorch/pull/64387 and https://github.com/pytorch/pytorch/issues/67767
+               DecorateInfo(unittest.skip("Skipped!"), 'TestGradients', 'test_fn_grad',
+                            dtypes=(torch.complex128,)),
            )),
     OpInfo('linalg.cholesky',
            aten_name='linalg_cholesky',