Fix Bfloat16 support in iree-turbine

Author: DavidGinten

iree/turbine/aot/support/ir_utils.py

@@ -324,10 +324,11 @@ def create_tensor_global(
                 )
             else:
                 # Emit inline initialized.
-                detached_tensor = t.detach().contiguous().cpu()
-                array = np.array(detached_tensor)
-                # We know that a Numpy array is a ReadableBuffer so ignore type error.
-                contents = memoryview(array)  # type: ignore
+                contents = torch.utils.dlpack.to_dlpack(t)
+                #detached_tensor = t.detach().contiguous().cpu()
+                #array = np.array(detached_tensor)
+                #array = bytes(detached_tensor.untyped_storage())
+                #contents = memoryview(array)
                 blob_name = symbol_name
                 elements_attr = DenseResourceElementsAttr.get_from_buffer(
                     contents, blob_name, tensor_type