test(torch): skip high-memory cuda svd reference

Author: zhangyue

tests/test_torch_ops.py

@@ -218,6 +218,13 @@ def _list_default(aten_type):
     }
 )
 
+# Ops whose reference path needs too much memory for the generic large CI shape.
+_HIGH_MEMORY_REFERENCE_CASES = frozenset(
+    {
+        ("cuda", "svd", (4, 4, 5632)),
+    }
+)
+
 # Ops where the ATen `_out` schema and the Python reference (`torch.<op>`,
 # `torch.nn.functional.<op>`) diverge in positional-argument ordering, so
 # the harness's purely-positional reference call lands an InfiniOps
@@ -451,6 +458,9 @@ def test_op(op_meta, shape, dtype, device, rtol, atol):
     if (device, aten_name) in _VENDOR_CRASH_OPS:
         pytest.skip(f"`{aten_name}` crashes on `{device}` vendor kernel")
 
+    if (device, aten_name, shape) in _HIGH_MEMORY_REFERENCE_CASES:
+        pytest.skip(f"`{aten_name}` reference path needs too much memory")
+
     if device == "cuda" and aten_name in _DEVICE_ASSERTING_OPS:
         pytest.skip(
             f"`{aten_name}` triggers a CUDA device-side assert on random inputs"