[dynamo] Verify the default value is passed by kwargs

Author: wenyangwang

Diff for: projects/pt1/e2e_testing/xfail_sets.py

@@ -262,9 +262,7 @@
     "ElementwiseSubScalarFloatModule_basic",
     "ElementwiseSubScalarIntModule_basic",
 
-    # ERROR: Exception: Unsupported: missing default value for argument 0 in schema for aten.div.Tensor_mode
-    "ElementwiseDivRoundingModeFloorModule_basic",
-    "ElementwiseDivRoundingModeTruncModule_basic",
+    # ERROR: 'torch.aten.mul.Tensor' op operand #1 must be Any Torch tensor type, but got '!torch.int'
     "AdaptiveAvgPool1dStaticLargerOutput_basic",
     "AdaptiveAvgPool1dGeneralDynamic_basic",
 
@@ -274,10 +272,6 @@
     "TensorFloatModule_basic",
     "TensorIntModule_basic",
 
-    # ERROR: Exception: Unsupported: missing default value for argument 0 in schema for aten.randn.generator
-    "RandnGeneratorF64Module_basic",
-    "RandnGeneratorModule_basic",
-
     # START tests failing due to: complex floating point ops
     # END tests failing due to: complex floating point ops
 

Diff for: projects/pt1/python/torch_mlir/_dynamo_fx_importer.py

@@ -77,7 +77,7 @@ def _check_meta_val(node):
                     assert len(node.args) < len(node.target._schema.arguments)
                     for i, argument in enumerate(
                             node.target._schema.arguments[len(node.args):]):
-                        if not argument.has_default_value():
+                        if not argument.has_default_value() and argument.name not in node.kwargs:
                             raise Exception(
                                 f"Unsupported: missing default value for argument {i} in schema for {node.target}"
                             )