diff --git a/tensordict/base.py b/tensordict/base.py
index f4f390487..f1493e1af 100644
--- a/tensordict/base.py
+++ b/tensordict/base.py
@@ -8562,17 +8562,17 @@ def _convert_to_tensor(
         elif isinstance(array, np.ndarray) and array.dtype.names is not None:
             return TensorDictBase.from_struct_array(array, device=self.device)
         elif isinstance(array, np.ndarray):
-            castable = array.dtype.kind in ("i", "f")
+            castable = array.dtype.kind in ("c", "i", "f", "b", "u")
         elif isinstance(array, np.bool_):
             castable = True
             array = array.item()
         elif isinstance(array, (list, tuple)):
             array = np.asarray(array)
-            castable = array.dtype.kind in ("i", "f")
+            castable = array.dtype.kind in ("c", "i", "f", "b", "u")
         elif hasattr(array, "numpy"):
             # tf.Tensor with no shape can't be converted otherwise
             array = array.numpy()
-            castable = array.dtype.kind in ("i", "f")
+            castable = array.dtype.kind in ("c", "i", "f", "b", "u")
         if castable:
             return torch.as_tensor(array, device=self.device)
         else:
diff --git a/test/test_compile.py b/test/test_compile.py
index 83edb746f..44d92822a 100644
--- a/test/test_compile.py
+++ b/test/test_compile.py
@@ -611,6 +611,7 @@ def remove_hidden(td):
         assert module_compile(td) is not td
 
     def test_dispatch_nontensor(self, mode):
+        torch._dynamo.reset_code_caches()
 
         # Non tensor
         x = torch.randn(3)
@@ -624,6 +625,8 @@ def test_dispatch_nontensor(self, mode):
         torch.testing.assert_close(mod(x=x, y=y), mod_compile(x=x, y=y))
 
     def test_dispatch_tensor(self, mode):
+        torch._dynamo.reset_code_caches()
+
         x = torch.randn(3)
         y = torch.randn(3)
         mod = Seq(