fix(mge/trace): use xpux device when dump

GitOrigin-RevId: f37285f70e

imperative/python/megengine/jit/tracing.py

@@ -20,6 +20,7 @@ import numpy as np
 from ..core._imperative_rt import GraphProfiler
 from ..core._imperative_rt.ops import OprAttr
 from ..core._trace_option import set_symbolic_shape
+from ..core._wrap import device as as_device
 from ..core.ops.special import Const
 from ..core.tensor import megbrain_graph as G
 from ..core.tensor.core import OpBase, TensorBase, TensorWrapperBase, apply
@@ -588,6 +589,8 @@ class trace:
                     len(self._output_bindings)
                 )
             )
+        if arg_names is None:
+            arg_names = ["arg_%d" % i for i in range(len(self._arg_bindings))]
         if arg_names and not isinstance(arg_names, collections.abc.Sequence):
             arg_names = (arg_names,)
         if arg_names and len(arg_names) != len(self._arg_bindings):
@@ -598,6 +601,8 @@ class trace:
             )
         output_names = output_names or self._output_names
 
+        dumped_device = as_device("xpux")
+
         h2v = {}
         graph = G.Graph()
         # only graph_opt_level takes effect in dump
@@ -607,14 +612,14 @@ class trace:
             info = self._tinfo[h]
             h2v[h] = graph.make_h2d(
                 dtype=info.dtype,
-                device=info.device,
+                device=dumped_device,
                 shape=info.shape,
                 name=arg_names[i] if arg_names else None,
             )
         for k, h in self._kwarg_bindings.items():
             info = self._tinfo[h]
             h2v[h] = graph.make_h2d(
-                dtype=info.dtype, device=info.device, shape=info.shape, name=k
+                dtype=info.dtype, device=dumped_device, shape=info.shape, name=k
             )
 
         for op, ihandles, ohandles in self._seq:
@@ -625,7 +630,7 @@ class trace:
                     assert info.external
                     assert info.bound_data
                     h2v[h] = graph.make_const(
-                        info.bound_data.numpy(), dtype=info.dtype, device=info.device
+                        info.bound_data.numpy(), dtype=info.dtype, device=dumped_device
                     )
                 ivars.append(h2v[h])
             ovars = apply(op, *ivars)

imperative/python/test/unit/test_tracing.py

@@ -100,8 +100,8 @@ def test_dump():
     file = io.BytesIO()
     dump_info = f.dump(file)
     assert dump_info.nr_opr == 3
-    np.testing.assert_equal(dump_info.inputs, ["h2d[0]", "h2d[2]"])
-    np.testing.assert_equal(dump_info.outputs, ["ADD(h2d[0],h2d[2])[4]"])
+    np.testing.assert_equal(dump_info.inputs, ["arg_0", "arg_1"])
+    np.testing.assert_equal(dump_info.outputs, ["ADD(arg_0,arg_1)[4]"])
     file.seek(0)
     result = cgtools.load_and_inference(file, [a, b])
     np.testing.assert_equal(result[0], y)