feat: add placeholder torch.load and torch.save frontends

ivy/functional/frontends/torch/__init__.py

@@ -315,6 +315,8 @@ def promote_types_of_torch_inputs(
 from .func import *
 from . import casting_ops
 from .casting_ops import *
+from . import serialization
+from .serialization import *
 
 _frontend_array = tensor
 

ivy/functional/frontends/torch/serialization/__init__.py

@@ -0,0 +1 @@
+from .serialization import *

ivy/functional/frontends/torch/serialization/serialization.py

@@ -0,0 +1,28 @@
+# global
+from typing import Any, Optional
+
+# local
+import ivy
+
+
+def load(
+    f,
+    map_location=None,
+    pickle_module: Any = None,
+    *,
+    weights_only: Optional[bool] = None,
+    mmap: Optional[bool] = None,
+    **pickle_load_args: Any,
+) -> Any:
+    raise ivy.exceptions.IvyNotImplementedException("The `torch.load` frontend has not yet been implemented.")
+
+
+def save(
+    obj: object,
+    f,
+    pickle_module: Any = None,
+    pickle_protocol: int = 2,
+    _use_new_zipfile_serialization: bool = True,
+    _disable_byteorder_record: bool = False
+) -> None:
+    raise ivy.exceptions.IvyNotImplementedException("The `torch.save` frontend has not yet been implemented.")