[functorch] fix unexpected successes
diff --git a/functorch/test/test_ops.py b/functorch/test/test_ops.py
index bc11dc2..fa94b8c 100644
--- a/functorch/test/test_ops.py
+++ b/functorch/test/test_ops.py
@@ -269,9 +269,6 @@
vjp_fail = {
skip('nn.functional.dropout'), # randomness testing artifact
skip('nn.functional.rrelu'), # randomness testing artifact
- xfail('linalg.cholesky'),
- xfail('linalg.inv'),
- xfail('linalg.matrix_power'),
xfail('tensor_split'),
xfail('to_sparse'),
xfail('nn.functional.ctc_loss'),
@@ -356,10 +353,7 @@
# Composite ops that do bad things. Need to be fixed in PyTorch core.
# RuntimeError: Cannot access data pointer of Tensor that doesn't have storage
- xfail('linalg.inv'),
xfail('linalg.eigvals'),
- xfail('linalg.matrix_power'),
- xfail('linalg.cholesky'),
xfail('tensor_split'),
# Causing a CUDA assert, needs investigation
diff --git a/functorch/test/test_pythonkey.py b/functorch/test/test_pythonkey.py
index 2f3fb77..6dfd116 100644
--- a/functorch/test/test_pythonkey.py
+++ b/functorch/test/test_pythonkey.py
@@ -182,9 +182,6 @@
xfail('to_sparse'),
xfail('allclose'),
xfail('rsub', 'rsub_scalar'),
- xfail('linalg.matrix_power'),
- xfail('linalg.inv'),
- xfail('linalg.cholesky'),
xfail('nn.functional.dropout'),
xfail('linalg.eigvals'),
xfail('nn.functional.ctc_loss'),
@@ -326,7 +323,6 @@
@skipOps('TestEagerFusionOpInfo', 'test_aot_autograd_exhaustive', {
xfail('__rmatmul__'),
xfail('linalg.cholesky'),
- xfail('linalg.inv'),
xfail('matmul'),
xfail('msort'),
xfail('nn.functional.linear'),