Fix: pin_memory() preserves TVTensor class and metadata

Author: NicolasHug

test/test_tv_tensors.py

@@ -162,6 +162,10 @@ def test_force_subclass_with_metadata(return_type):
     if return_type == "TVTensor":
         assert bbox.format, bbox.canvas_size == (format, canvas_size)
 
+    bbox = bbox.pin_memory()
+    if return_type == "TVTensor":
+        assert bbox.format, bbox.canvas_size == (format, canvas_size)
+
     assert not bbox.requires_grad
     bbox.requires_grad_(True)
     if return_type == "TVTensor":

torchvision/tv_tensors/_torch_function_helpers.py

@@ -69,4 +69,10 @@ def _must_return_subclass():
 
 
 # For those ops we always want to preserve the original subclass instead of returning a pure Tensor
-_FORCE_TORCHFUNCTION_SUBCLASS = {torch.Tensor.clone, torch.Tensor.to, torch.Tensor.detach, torch.Tensor.requires_grad_}
+_FORCE_TORCHFUNCTION_SUBCLASS = {
+    torch.Tensor.clone,
+    torch.Tensor.to,
+    torch.Tensor.detach,
+    torch.Tensor.requires_grad_,
+    torch.Tensor.pin_memory,
+}