[dynamo] Verify the default value is passed by kwargs

Author: penguin-wwy

projects/pt1/e2e_testing/xfail_sets.py

@@ -264,6 +264,8 @@
     "ElementwiseDivScalarRoundingModeTruncStaticModule_basic",
     "ElementwiseDivScalarRoundingModeFloorIntStaticModule_basic",
     "ElementwiseDivScalarRoundingModeTruncIntStaticModule_basic",
+
+    # ERROR: 'torch.aten.mul.Tensor' op operand #1 must be Any Torch tensor type, but got '!torch.int'
     "AdaptiveAvgPool1dStaticLargerOutput_basic",
     "AdaptiveAvgPool1dGeneralDynamic_basic",
     "AdaptiveAvgPool1dGeneralDynamicNoBatches_basic",
@@ -276,10 +278,6 @@
     "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
 

projects/pt1/python/torch_mlir/_dynamo_fx_importer.py

@@ -78,7 +78,7 @@ 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}"
                             )