Use better function name for te_lowering and annotate current target …

…at TE functions

python/tvm/relay/backend/contrib/uma/api/lower.py

@@ -82,15 +82,20 @@ def _get_tensors(te_cached_func):
 
             return args + outputs
 
-        f = tvm._ffi.get_global_func("relay.backend.LowerToTE")
-        te_cached_func = f(relay_prim_func)
+        lower_to_te = tvm._ffi.get_global_func("relay.backend.LowerToTE")
+        te_cached_func = lower_to_te(relay_prim_func)
         x = _get_tensors(te_cached_func)
         tir_prim_func = te.create_prim_func(x)
         tir_prim_func = tir_prim_func.with_attr(
             "global_symbol", relay_prim_func.attrs["global_symbol"]
         )
-        # TODO: The target should probably come from somewhere else instead of being created here.
-        tir_prim_func = tir_prim_func.with_attr("target", tvm.target.Target(self.target_name))
+
+        compiler_attr = relay_prim_func.attrs["Compiler"]
+        target = tvm.target.Target.current()
+        if target.kind.name != compiler_attr:
+            target = tvm.target.Target(compiler_attr)
+
+        tir_prim_func = tir_prim_func.with_attr("target", target)
         tir_prim_func = tir_prim_func.with_attr("relay_attrs", relay_prim_func.attrs)
         return tir_prim_func