PaddlePaddle
diff --git a/‎python/paddle/jit/sot/infer_meta.py
Copy file name to clipboard
+2-3Lines changed: 2 additions & 3 deletions b/‎python/paddle/jit/sot/infer_meta.py
Copy file name to clipboard
+2-3Lines changed: 2 additions & 3 deletions
diff --git a/‎python/paddle/jit/sot/opcode_translator/executor/dispatch_functions.py
Copy file name to clipboard
+6-3Lines changed: 6 additions & 3 deletions b/‎python/paddle/jit/sot/opcode_translator/executor/dispatch_functions.py
Copy file name to clipboard
+6-3Lines changed: 6 additions & 3 deletions
diff --git a/‎python/paddle/jit/sot/opcode_translator/executor/function_graph.py
Copy file name to clipboard
+15-4Lines changed: 15 additions & 4 deletions b/‎python/paddle/jit/sot/opcode_translator/executor/function_graph.py
Copy file name to clipboard
+15-4Lines changed: 15 additions & 4 deletions
diff --git a/‎python/paddle/jit/sot/opcode_translator/executor/opcode_executor.py
Copy file name to clipboard
+14-3Lines changed: 14 additions & 3 deletions b/‎python/paddle/jit/sot/opcode_translator/executor/opcode_executor.py
Copy file name to clipboard
+14-3Lines changed: 14 additions & 3 deletions
diff --git a/‎python/paddle/jit/sot/opcode_translator/executor/opcode_inline_executor.py
Copy file name to clipboard
+11-5Lines changed: 11 additions & 5 deletions b/‎python/paddle/jit/sot/opcode_translator/executor/opcode_inline_executor.py
Copy file name to clipboard
+11-5Lines changed: 11 additions & 5 deletions
diff --git a/‎python/paddle/jit/sot/opcode_translator/executor/variable_dispatch.py
Copy file name to clipboard
+24-7Lines changed: 24 additions & 7 deletions b/‎python/paddle/jit/sot/opcode_translator/executor/variable_dispatch.py
Copy file name to clipboard
+24-7Lines changed: 24 additions & 7 deletions
diff --git a/‎python/paddle/jit/sot/opcode_translator/executor/variables/basic.py
Copy file name to clipboard
+40-10Lines changed: 40 additions & 10 deletions b/‎python/paddle/jit/sot/opcode_translator/executor/variables/basic.py
Copy file name to clipboard
+40-10Lines changed: 40 additions & 10 deletions
@@ -288,9 +288,8 @@ def __init__(self):
         self.var_name_generator = UniqueNameGenerator(SOT_INFER_META_INNER_VAR)
 
     def gen_name(self, meta):
-        name = f"{meta.dtype}_{meta.stop_gradient}"
-        for l in meta.shape:
-            name += f"_{l}"
+        name = f"{meta.dtype}_{meta.stop_gradient}_"
+        name += "_".join(map(str, meta.shape))
         return name
 
     @property
 
@@ -14,11 +14,14 @@
 
 # This file stores the customized function that will be called by the dispatch mechanism.
 
-from ...utils import BreakGraphError, FallbackError
+from ...utils import BreakGraphError, BreakGraphReasonBase, FallbackError
 
 
-def raise_break_graph_fn(*args, **kwarg):
-    raise BreakGraphError("raise by raise_break_graph_fn.")
+def create_raise_break_graph_handler(reason: BreakGraphReasonBase):
+    def raise_break_graph_fn(*args, **kwarg):
+        raise BreakGraphError(reason)
+
+    return raise_break_graph_fn
 
 
 def raise_not_implement_fn(*args, **kwarg):
 
@@ -52,7 +52,12 @@
     map_if,
     switch_symbol_registry,
 )
-from ...utils.exceptions import BreakGraphError, SotExtraInfo
+from ...utils.exceptions import (
+    BreakGraphError,
+    DygraphInconsistentWithStaticBreak,
+    InferMetaBreak,
+    SotExtraInfo,
+)
 from ..instruction_utils import get_instructions
 from .guard import Guard, StringifiedExpression, make_guard
 from .mutable_data import MutationDel, MutationNew, MutationSet
@@ -671,7 +676,9 @@ def try_infer_meta_fn(args, kwargs) -> Any:
                     ):
                         # TODO(zrr1999): maybe we can continue to fallback to all args are constant.
                         raise BreakGraphError(
-                            f"InferMeta encount {type(e)}, but all args are not symbolic."
+                            InferMetaBreak(
+                                f"InferMeta encount {type(e)}, but all args are not symbolic."
+                            )
                         )
 
                     args, kwargs = map_if(
@@ -698,7 +705,9 @@ def try_infer_meta_fn(args, kwargs) -> Any:
                         for arg in flatten_vars
                     ):
                         raise BreakGraphError(
-                            f"InferMeta encount {type(e)}, but all args are not symbolic."
+                            InferMetaBreak(
+                                f"InferMeta encount {type(e)}, but all args are not symbolic."
+                            )
                         )
 
                     args, kwargs = map_structure(
@@ -712,7 +721,9 @@ def try_infer_meta_fn(args, kwargs) -> Any:
             except Exception as e:
                 if SotExtraInfo.from_exception(e).need_breakgraph:
                     raise BreakGraphError(
-                        f"API {func} encountered a need break graph error {e}"
+                        DygraphInconsistentWithStaticBreak(
+                            f"API {func} encountered a need break graph error {e}"
+                        )
                     )
                 raise e
 
 
@@ -35,9 +35,12 @@
     ENV_MIN_GRAPH_SIZE,
     ENV_SOT_FORCE_FALLBACK_SIR_IDS,
     BreakGraphError,
+    BuiltinFunctionBreak,
     FallbackError,
     InnerError,
     SotUndefinedVar,
+    UnsupportedIteratorBreak,
+    UnsupportedOperationBreak,
     get_static_function,
     is_comprehensive_name,
     log,
@@ -806,7 +809,9 @@ def LOAD_ATTR(self, instr: Instruction):
     def LOAD_SUPER_ATTR(self, instr: Instruction):
         # This bytecode is for Python 3.12+, and it will break graph in Python 3.11-.
         # We align it's behavior with Python 3.11-.
-        raise BreakGraphError("call super is not supported")
+        raise BreakGraphError(
+            BuiltinFunctionBreak(reason_str="call super is not supported")
+        )
 
     def LOAD_CONST(self, instr: Instruction):
         var = self._co_consts[instr.arg]
@@ -1082,7 +1087,11 @@ def build_seq_unpack(self, instr: Instruction):
             if not isinstance(
                 item, (TupleVariable, ListVariable, RangeVariable)
             ):
-                raise BreakGraphError(f"{type(item)} not support unpack")
+                raise BreakGraphError(
+                    UnsupportedOperationBreak(
+                        reason_str=f"{type(item)} not support unpack"
+                    )
+                )
             retval.extend(item.get_iter().to_list())
 
         if instr.opname in {
@@ -1971,7 +1980,9 @@ def FOR_ITER(self, instr):
         try:
             if not isinstance(iterator, SequenceIterVariable):
                 raise BreakGraphError(
-                    f"Can not simulate iterator of {type(iterator)}."
+                    UnsupportedIteratorBreak(
+                        f"Can not simulate iterator of {type(iterator)}."
+                    )
                 )
 
             backup_iter_idx = iterator.idx
 
@@ -21,7 +21,12 @@
 from typing import TYPE_CHECKING
 
 from ...profiler import event_register
-from ...utils import BreakGraphError, log
+from ...utils import (
+    BreakGraphError,
+    DataDependencyControlFlowBreak,
+    UnsupportedIteratorBreak,
+    log,
+)
 from ..instruction_utils import Instruction
 from .guard import StringifiedExpression, union_free_vars
 from .opcode_executor import OpcodeExecutorBase, Stop
@@ -298,9 +303,8 @@ def _break_graph_when_if(self, result, instr: Instruction):
             result: The result of the operation.
             instr (Instruction): The jump instruction.
         """
-        raise BreakGraphError(
-            "OpcodeInlineExecutor want break graph when simulate `if`."
-        )
+
+        raise BreakGraphError(DataDependencyControlFlowBreak())
 
     def FOR_ITER(self, instr: Instruction):
         iterator = self.stack.top
@@ -327,5 +331,7 @@ def FOR_ITER(self, instr: Instruction):
         else:
             self._graph.remove_global_guarded_variable(iterator)
             raise BreakGraphError(
-                f"Found {iterator.__class__.__name__} as iterator."
+                UnsupportedIteratorBreak(
+                    reason_str=f"Found {iterator.__class__.__name__} as iterator."
+                )
             )
@@ -24,19 +24,26 @@
 
 import paddle
 
-from ...utils import BreakGraphError, FallbackError, get_numpy_ufuncs
+from ...utils import (
+    BreakGraphError,
+    BuiltinFunctionBreak,
+    FallbackError,
+    UnsupportedIteratorBreak,
+    UnsupportedOperationBreak,
+    get_numpy_ufuncs,
+)
 from ...utils.magic_methods import (
     BINARY_OPS,
     UNARY_OPS,
     magic_method_builtin_dispatch,
 )
 from ...utils.paddle_api_config import get_tensor_methods
 from .dispatch_functions import (
+    create_raise_break_graph_handler,
     operator_in,
     operator_is_none,
     operator_is_not_none,
     operator_not_in,
-    raise_break_graph_fn,
     tensor_numel,
 )
 from .dispatcher import Dispatcher, optional
@@ -120,7 +127,9 @@ def inner(*args, **kwargs):
 Dispatcher.register(
     operator_in,
     ("VariableBase", "IterVariable"),
-    raise_err_handle(BreakGraphError("Codes like: `variable in iterator`.")),
+    create_raise_break_graph_handler(
+        UnsupportedIteratorBreak("Codes like: `variable in iterator`.")
+    ),
 )
 
 Dispatcher.register(
@@ -152,8 +161,8 @@ def inner(*args, **kwargs):
 Dispatcher.register(
     operator_not_in,
     ("VariableBase", "IterVariable"),
-    raise_err_handle(
-        BreakGraphError("Codes like: `variable not in iterator`.")
+    create_raise_break_graph_handler(
+        UnsupportedIteratorBreak("Codes like: `variable not in iterator`.")
     ),
 )
 
@@ -1025,7 +1034,11 @@ def is_not_func(var: VariableBase, other: VariableBase):
         Dispatcher.register(
             unary_fn,
             ("TensorVariable",),
-            raise_break_graph_fn,
+            create_raise_break_graph_handler(
+                BuiltinFunctionBreak(
+                    fn_name=unary_fn, arg_types="TensorVariable"
+                )
+            ),
         )
         continue
 
@@ -1090,7 +1103,11 @@ def tensor_mod_dispatcher(
                 ):
                     if var.get_py_type() is str:
                         raise BreakGraphError(
-                            "(ConstantVariable % TensorVariable) raise a callback. "
+                            UnsupportedOperationBreak(
+                                left_type="ConstantVariable",
+                                right_type="TensorVariable",
+                                operator="__rmod__",
+                            )
                         )
                     raise FallbackError("Tensor doesn't support __rmod__")
 
 
@@ -36,9 +36,13 @@
 from ....utils import (
     ENV_SOT_ALLOW_DYNAMIC_SHAPE,
     BreakGraphError,
+    BuiltinFunctionBreak,
     ConstTypes,
+    DataDependencyDynamicShapeBreak,
+    DataDependencyOperationBreak,
     FallbackError,
     NameGenerator,
+    UnsupportedOperationBreak,
     get_tensor_methods,
     log,
     printable,
@@ -416,7 +420,9 @@ def analyse_dynamic_axes(self, tracker: Tracker):
     def __len__(self):
         if isinstance(self.meta.shape[0], SymbolicInt):
             raise BreakGraphError(
-                "length of tensor variable with first dimension is dynamic shape causes graph break."
+                DataDependencyDynamicShapeBreak(
+                    "length of tensor variable with first dimension is dynamic shape causes graph break."
+                )
             )
         return self.meta.shape[0]
 
@@ -439,7 +445,9 @@ def __hash__(self):
             return SotTensor(self.id)
 
         raise BreakGraphError(
-            "Called TensorVariable.get_py_value. Should not use Tensor's value in simulating."
+            DataDependencyOperationBreak(
+                "Called TensorVariable.get_py_value. Should not use Tensor's value in simulating."
+            )
         )
 
     def get_py_type(self):
@@ -589,7 +597,9 @@ def size(self):
         # TODO: maybe break graph.
         if self.meta.is_dynamic_shape():
             raise BreakGraphError(
-                f"Getting size for a dynamic shape tensor causes graph break. shape = {self.meta.shape}"
+                DataDependencyDynamicShapeBreak(
+                    f"Getting size for a dynamic shape tensor causes graph break. shape = {self.meta.shape}"
+                )
             )
         elements = reduce(operator.mul, self.meta.shape, 1)
         return ConstantVariable(elements, self.graph, DummyTracker([self]))
@@ -601,7 +611,9 @@ def shape(self):
             and self.meta.is_dynamic_shape()
         ):
             raise BreakGraphError(
-                f"Getting shape for a dynamic shape tensor causes graph break. shape = {self.meta.shape}"
+                DataDependencyDynamicShapeBreak(
+                    f"Getting shape for a dynamic shape tensor causes graph break. shape = {self.meta.shape}"
+                )
             )
         from .container import ListVariable
 
@@ -617,7 +629,9 @@ def len(self):
         first_dim = self.meta.shape[0]
         if isinstance(first_dim, SymbolicInt):
             raise BreakGraphError(
-                "Getting len() for a dynamic shape tensor causes graph break."
+                DataDependencyDynamicShapeBreak(
+                    "Getting len() for a dynamic shape tensor causes graph break."
+                )
             )
 
         return ConstantVariable(first_dim, self.graph, DummyTracker([self]))
@@ -662,7 +676,9 @@ def getattr(self, name: str, default=None):
         }
         if name in ["name", "place", "type"] and self.meta.is_inner_var():
             raise BreakGraphError(
-                f"{self.meta.name} is a middle tensor. get {name} property."
+                DataDependencyOperationBreak(
+                    f"{self.meta.name} is a middle tensor. Not support to get {name} property."
+                )
             )
         if name in [
             "dtype",
@@ -709,7 +725,9 @@ def setattr(self, key, val):
         )
 
     def delattr(self, key):
-        raise BreakGraphError("Don't support TensorVariable delattr")
+        raise BreakGraphError(
+            BuiltinFunctionBreak("Don't support TensorVariable delattr")
+        )
 
     @VariableFactory.register_from_value()
     def from_value(value: Any, graph: FunctionGraph, tracker: Tracker):
@@ -814,7 +832,11 @@ def disable_symbolic(var: VariableBase):
 
     def get_py_value(self, allow_tensor: bool = False) -> bool | int | float:
         if ENV_SOT_BREAK_GRAPH_ON_GET_SYMBOLIC_VALUE.get():
-            raise BreakGraphError("get_py_value from SymbolicVariable")
+            raise BreakGraphError(
+                DataDependencyOperationBreak(
+                    "get_py_value from SymbolicVariable"
+                )
+            )
         self.need_guard_value = True
         log(
             3,
@@ -1116,10 +1138,18 @@ def _reconstruct(self, codegen: PyCodeGen):
             super()._reconstruct(codegen)
 
     def setattr(self, key, val):
-        raise BreakGraphError("Don't support SliceVariable setattr")
+        raise BreakGraphError(
+            UnsupportedOperationBreak(
+                reason_str="Don't support SliceVariable setattr"
+            )
+        )
 
     def delattr(self, key):
-        raise BreakGraphError("Don't support SliceVariable delattr")
+        raise BreakGraphError(
+            UnsupportedOperationBreak(
+                reason_str="Don't support SliceVariable delattr"
+            )
+        )
 
     @VariableFactory.register_from_value()
     def from_value(value: Any, graph: FunctionGraph, tracker: Tracker):