============================= test session starts ==============================
platform linux -- Python 3.9.0, pytest-8.3.5, pluggy-1.5.0
rootdir: /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0
configfile: pytest.ini
plugins: forked-1.6.0, timeout-2.3.1, xdist-1.32.0
collected 1 item
test_for_iter.py F [100%]
=================================== FAILURES ===================================
_____________________________ test_for_zip_iter_1 ______________________________
@arg_mark(plat_marks=['cpu_linux'], level_mark='level0', card_mark='onecard', essential_mark='essential')
def test_for_zip_iter_1():
"""
Feature: Test zip iter.
Description: zip of list + tuple.
Expectation: No exception.
"""
def fn(seq_a: list, seq_b: tuple):
ret = 0
for a, b in zip(seq_a, seq_b):
ret += (a * b)
return ret
a = [Tensor([1, 1, 1]), Tensor([2, 2, 2]), Tensor([3, 3, 3])]
b = (1.5, 2.0, 2.5)
o1 = fn(a, b)
fn = pi_jit_with_config(fn, jit_config=jit_cfg)
> o2 = fn(a, b)
test_for_iter.py:129:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/home/jenkins/.local/lib/python3.9/site-packages/mindspore/common/_pijit_context.py:83: in _fn
self.ret = self.fn(*args, **kwds)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
seq_a = Tensor(shape=[3], dtype=Int64, value= [3, 3, 3]), seq_b = 2.5
> def fn(seq_a: list, seq_b: tuple):
E TypeError:
E ----------------------------------------------------
E - Kernel select failed:
E ----------------------------------------------------
E Select CPU operator[Add] fail! Unsupported data type!
E The supported data types are input[Int8 Int8], output[Int8]; input[Int16 Int16], output[Int16]; input[Int32 Int32], output[Int32]; input[Float32 Float32], output[Float32]; input[Int64 Int64], output[Int64]; input[Float64 Float64], output[Float64]; input[UInt8 UInt8], output[UInt8]; input[UInt16 UInt16], output[UInt16]; input[UInt32 UInt32], output[UInt32]; input[UInt64 UInt64], output[UInt64]; input[Bool Bool], output[Bool]; input[Float16 Float16], output[Float16]; input[BFloat16 BFloat16], output[BFloat16]; input[Complex64 Complex64], output[Complex64]; input[Complex128 Complex128], output[Complex128]; , but get input[Float32 Int64 ] and output[Float32 ]
E
E ----------------------------------------------------
E - The Function Call Stack: (For framework developers)
E ----------------------------------------------------
E In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:659, 11~31/ return add_op(input, other)/
E In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:616~659/def add(input, other):/
E In file /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121/ ret += (a * b)/
E
E node: @kernel_graph0:CNode_57{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: @kernel_graph0:CNode_58{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: CNode_59, [2]: CNode_60}, [2]: @kernel_graph0:CNode_61{[0]: ValueNode<Primitive> PrimFunc_Mul, [1]: param_Parameter_49, [2]: CNode_62}}
E
E ----------------------------------------------------
E - C++ Call Stack: (For framework developers)
E ----------------------------------------------------
E mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:483 SetOperatorInfo
test_for_iter.py:118: TypeError
----------------------------- Captured stderr call -----------------------------
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.886.523 [mindspore/ccsrc/common/amp/amp.cc:149] GetCurrentAmpStrategy] amp strategy stack is empty
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:49.886.624 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:218] Initialize] No device_target set, set CPU as default. You can call mindspore.set_context(device_target="XXX")
[INFO] PRE_ACT(1820428,7f0456abb700,python3):2025-03-29-10:11:49.888.247 [mindspore/ccsrc/memory/mem_pool/mem_dynamic_allocator.cc:161] Initialize] Skip initialization of memory pool since init size is not configured.
[INFO] UTILS(1820428,7f0456abb700,python3):2025-03-29-10:11:49.888.326 [mindspore/ccsrc/utils/utils.cc:386] GetSystemMemorySize] Get system memory(MemAvailable): 126623696 kB
[INFO] DEVICE(1820428,7f0456abb700,python3):2025-03-29-10:11:49.888.345 [mindspore/ccsrc/plugin/res_manager/cpu/cpu_mem_manager/cpu_memory_pool.cc:83] AllocDeviceMem] Current alloc size[1073741824], total used size[1073741824].
[INFO] CORE(1820428,7f0456abb700,python3):2025-03-29-10:11:49.888.396 [mindspore/core/utils/compile_config.cc:49] GetConfig] The compile config is empty when getting config 'GRAD_FOR_SCALAR'.
[INFO] COMMON(1820428,7f0456abb700,python3):2025-03-29-10:11:49.925.726 [mindspore/ccsrc/common/thread_pool.cc:41] ThreadPool] Set max_thread_num_ to 4
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.925.944 [mindspore/ccsrc/pybind_api/ir/tensor_api/auto_generate/tensor_api_3.cc:185] TensorMethodAdd] Callback python method: tensor_add_ext
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.927.996 [mindspore/ccsrc/common/amp/amp.cc:149] GetCurrentAmpStrategy] amp strategy stack is empty
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.928.098 [mindspore/ccsrc/common/amp/amp.cc:149] GetCurrentAmpStrategy] amp strategy stack is empty
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.928.260 [mindspore/ccsrc/pybind_api/ir/tensor_api/auto_generate/tensor_api_2.cc:3862] TensorMethodAdd_] Callback python method: tensor_add_ext
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.928.292 [mindspore/ccsrc/common/amp/amp.cc:149] GetCurrentAmpStrategy] amp strategy stack is empty
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.928.337 [mindspore/ccsrc/common/amp/amp.cc:149] GetCurrentAmpStrategy] amp strategy stack is empty
[INFO] CORE(1820428,7f0456abb700,python3):2025-03-29-10:11:49.928.851 [mindspore/core/utils/compile_config.cc:49] GetConfig] The compile config is empty when getting config 'GRAD_FOR_SCALAR'.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.929.436 [mindspore/ccsrc/pybind_api/ir/tensor_api/auto_generate/tensor_api_2.cc:3862] TensorMethodAdd_] Callback python method: tensor_add_ext
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:49.929.458 [mindspore/ccsrc/common/amp/amp.cc:149] GetCurrentAmpStrategy] amp strategy stack is empty
[INFO] CORE(1820428,7f0456abb700,python3):2025-03-29-10:11:49.929.955 [mindspore/core/utils/compile_config.cc:49] GetConfig] The compile config is empty when getting config 'GRAD_FOR_SCALAR'.
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.051.458 [mindspore/ccsrc/pipeline/jit/pi/jit_compile_results.cc:39] InitIndex] Initialize jcr key. Thread is 139657331255104
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.051.527 [mindspore/ccsrc/pipeline/jit/pi/runtime.cc:779] JitCompileWithTry] Start run PIJit
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.051.547 [mindspore/ccsrc/pipeline/jit/pi/runtime.cc:770] InitCompileConfig] Init compile config
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.051.964 [mindspore/ccsrc/pipeline/jit/pi/runtime.cc:552] JitCompile] Start compile <code object fn at 0x7f04591f9920, file "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py", line 118>
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.052.090 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeList Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.052.171 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4c04b30 End. The AObj is List<kTypeUnknown * 3> 0x4c04b30{0x4c04b30, } user={} value=[[Tensor'(3,), Int64',Tensor'(3,), Int64',Tensor'(3,), Int64',]]
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.052.187 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTuple Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.052.208 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4c030d0 End. The AObj is Tuple<kTypeUnknown * 3> 0x4c030d0{0x4c030d0, } user={} value=((1.5,2.0,2.5,))
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.052.276 [mindspore/core/ir/manager.cc:389] AddFuncGraphs] The func graph _anonymous__1 has no return node.
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.359 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeInt Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.390 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x507b1c0 End. The AObj is int{value=0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.419 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.450 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x50fe3e0 End. The AObj is Tensor0x50fe3e0{0x50fe3e0, } user={}{Tensor'(3,), Int64'} data_allocated=True
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.604 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:447] AddTopGraphArgInput] Add top arg input success, python object: Tensor(shape=[3], dtype=Int64, value= [1, 1, 1]), node: @fn_118_1:param_Parameter_2, abstract: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.678 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeInt Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.694 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4bf4b00 End. The AObj is int{value=1}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.707 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.731 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4bf3dd0 End. The AObj is Tensor0x4bf3dd0{0x4bf3dd0, } user={}{Tensor'(3,), Int64'} data_allocated=True
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.801 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:447] AddTopGraphArgInput] Add top arg input success, python object: Tensor(shape=[3], dtype=Int64, value= [2, 2, 2]), node: @fn_118_1:param_Parameter_3, abstract: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.845 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeInt Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.860 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4bed450 End. The AObj is int{value=2}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.877 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.900 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4bec720 End. The AObj is Tensor0x4bec720{0x4bec720, } user={}{Tensor'(3,), Int64'} data_allocated=True
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.061.966 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:447] AddTopGraphArgInput] Add top arg input success, python object: Tensor(shape=[3], dtype=Int64, value= [3, 3, 3]), node: @fn_118_1:param_Parameter_4, abstract: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.062.026 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_2 for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.062.044 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_3 for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.062.060 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_4 for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.062.101 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_2 for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.062.118 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_3 for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.062.133 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_4 for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.392 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} with abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.416 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeList Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.466 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e4fab0 End. The AObj is List<kTypeTensor * 3> 0x4e4fab0{0x4e4fab0, } user={} value=[[Tensor'(3,), Int64',Tensor'(3,), Int64',Tensor'(3,), Int64',]]
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.526 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeFloat Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.542 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e53010 End. The AObj is float{value=1.5}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.607 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:447] AddTopGraphArgInput] Add top arg input success, python object: 1.5, node: @fn_118_1:param_Parameter_6, abstract: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[WARNING] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.624 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph.cc:529] GuardParameter] got a constant value as graph parameter. recompile if value changed: 0 BINARY_SUBSCR Node(0x4e53ca0) vobj=float{value=1.5} inputs=(0x4a9a3c0,0x4e52f70,)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.656 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeFloat Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.668 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x50b94a0 End. The AObj is float{value=2.0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.705 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:447] AddTopGraphArgInput] Add top arg input success, python object: 2.0, node: @fn_118_1:param_Parameter_7, abstract: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[WARNING] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.721 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph.cc:529] GuardParameter] got a constant value as graph parameter. recompile if value changed: 0 BINARY_SUBSCR Node(0x4e58bc0) vobj=float{value=2.0} inputs=(0x4a9a3c0,0x4e57f40,)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.744 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeFloat Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.756 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e5e810 End. The AObj is float{value=2.5}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.790 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:447] AddTopGraphArgInput] Add top arg input success, python object: 2.5, node: @fn_118_1:param_Parameter_8, abstract: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[WARNING] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.805 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph.cc:529] GuardParameter] got a constant value as graph parameter. recompile if value changed: 0 BINARY_SUBSCR Node(0x4e5e8d0) vobj=float{value=2.5} inputs=(0x4a9a3c0,0x4e5dae0,)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.836 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_6 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.850 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_7 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.869 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_8 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.887 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_6 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.900 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_7 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.913 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:param_Parameter_8 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.965 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: ValueNode<ValueTuple> (1.5, 2, 2.5) with abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.974 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTuple Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.063.993 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e6d570 End. The AObj is Tuple<kTypeFloat * 3> 0x4e6d570{0x4e6d570, } user={} value=((1.5,2.0,2.5,))
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.010 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:3876] TraceRun] Trace 'fn' 0x4d92410 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:118"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.021 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 0 LOAD_CONST 1 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:119"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.058 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 1 STORE_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:119"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.069 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 2 LOAD_GLOBAL 0 zip at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.078 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeType Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.100 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e74c20 End. The AObj is type{value=<class 'zip'>}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.117 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1012] DoLoadGlobal] constant global 2 LOAD_GLOBAL 0 zip Node(0x4e74ce0) vobj=type{value=<class 'zip'>} inputs=()
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.239 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 3 LOAD_FAST 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.251 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 4 LOAD_FAST 1 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.260 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 5 CALL_FUNCTION 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.270 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/node.cc:35] SetVobj] Try to overwrite vobj with itself.
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.277 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeAnyValue Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.285 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e6d650 End. The AObj is kTypeAnyValue
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.357 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:2385] BuildCallClassNode] Build instance, support_create_instance=1, constant=0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.374 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeAnyValue Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.390 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e81f20 End. The AObj is zip{value=<zip object at 0x7f045925a480>}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.409 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:4886] HandleCallClass] The class instantiation is constant. [5 CALL_FUNCTION 2 Node(0x4e7b5a0) vobj=zip{value=<zip object at 0x7f045925a480>} inputs=(0x4e74ce0,0x4a98e40,0x4a9a3c0,) sub-graph=0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.474 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 6 GET_ITER 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.498 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeAnyValue Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.506 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e7b680 End. The AObj is kTypeAnyValue
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.516 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 7 FOR_ITER 20 -> 18 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.601 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} for abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.619 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 0 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.682 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} for abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.694 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 0 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.064.764 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.071.979 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [_list_getitem_by_number_10] Added global python symbol: {F : <module 'mindspore.ops.functional' from '/home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/functional.py'>}
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.072.346 [mindspore/core/utils/ms_context.cc:463] PrintJitLevelAndExecMode] The jit_level is: O0, and enable kernelbykernel executor in the PYNATIVE mode.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.211 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.265 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_11{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 0} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.372 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.400 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e846b0 End. The AObj is Tensor0x4e846b0{0x4e846b0, } user={}{Tensor'(3,), Int64'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.458 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<ValueTuple> (1.5, 2, 2.5) for abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.491 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 0 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.544 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<ValueTuple> (1.5, 2, 2.5) for abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.556 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 0 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.073.601 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.075.580 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [_tuple_getitem_by_number_14] Added global python symbol: {F : <module 'mindspore.ops.functional' from '/home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/functional.py'>}
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.112 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.157 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: ValueNode<FP32Imm> 1.5 with abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.175 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeFloat Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.189 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x51df630 End. The AObj is float{value=1.5}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.216 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_11{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 0} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.229 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 1.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.250 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_11{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 0} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.262 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 1.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.309 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_15{[0]: ValueNode<Primitive> MakeTuple, [1]: CNode_11, [2]: ValueNode<FP32Imm> 1.5} with abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.327 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTuple Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.360 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x51f2810 End. The AObj is Tuple<kTypeMultiType * 2> 0x51f2810{0x51f2810, } user={} value=((Tensor'(3,), Int64',1.5,))
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.373 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 8 UNPACK_SEQUENCE 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.386 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 9 STORE_FAST 3 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.394 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 10 STORE_FAST 4 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.403 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 11 LOAD_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.411 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 12 LOAD_FAST 3 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.419 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 13 LOAD_FAST 4 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.427 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 14 BINARY_MULTIPLY 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.448 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_11{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 0} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.462 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 1.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.535 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_11{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 0} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.551 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 1.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.076.597 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.078.094 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [_tensor_mul_scalar_17] Added global python symbol: {F : <module 'mindspore.ops.functional' from '/home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/functional.py'>}
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.254 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [muls_18] Added global python symbol: {muls_op : Prim[Muls]}
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.713 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.766 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_19{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_11, [2]: ValueNode<FP32Imm> 1.5} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.845 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.874 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x51f7860 End. The AObj is Tensor0x51f7860{0x51f7860, } user={}{Tensor'(3,), Float32'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.888 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 15 INPLACE_ADD 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.904 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 0 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.927 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_19{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_11, [2]: ValueNode<FP32Imm> 1.5} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.970 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 0 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.081.997 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_19{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_11, [2]: ValueNode<FP32Imm> 1.5} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.082.043 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.083.592 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [_scalar_add_tensor_22] Added global python symbol: {F : <module 'mindspore.ops.functional' from '/home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/functional.py'>}
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.086.814 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [add_23] Added global python symbol: {add_op : Prim[Add]}
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.087.869 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.087.921 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_24{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: ValueNode<Int64Imm> 0, [2]: CNode_19} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.087.987 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.015 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x520e710 End. The AObj is Tensor0x520e710{0x520e710, } user={}{Tensor'(3,), Float32'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.029 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 16 STORE_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.040 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 17 JUMP_ABSOLUTE 14 -> 7 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.049 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 7 FOR_ITER 20 -> 18 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.112 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} for abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.131 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 1 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 1, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.186 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} for abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.198 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 1 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 1, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.238 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.623 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.669 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_27{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 1} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.731 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.757 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x51e4030 End. The AObj is Tensor0x51e4030{0x51e4030, } user={}{Tensor'(3,), Int64'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.809 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<ValueTuple> (1.5, 2, 2.5) for abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.821 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 1 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 1, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.868 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<ValueTuple> (1.5, 2, 2.5) for abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.887 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 1 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 1, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.088.930 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.278 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.327 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: ValueNode<FP32Imm> 2 with abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.345 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeFloat Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.359 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x51f9570 End. The AObj is float{value=2.0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.386 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_27{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 1} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.399 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.420 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_27{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 1} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.432 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.469 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_29{[0]: ValueNode<Primitive> MakeTuple, [1]: CNode_27, [2]: ValueNode<FP32Imm> 2} with abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.490 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTuple Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.525 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x523dde0 End. The AObj is Tuple<kTypeMultiType * 2> 0x523dde0{0x523dde0, } user={} value=((Tensor'(3,), Int64',2.0,))
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.537 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 8 UNPACK_SEQUENCE 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.555 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 9 STORE_FAST 3 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.564 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 10 STORE_FAST 4 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.572 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 11 LOAD_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.579 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 12 LOAD_FAST 3 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.587 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 13 LOAD_FAST 4 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.595 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 14 BINARY_MULTIPLY 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.616 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_27{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 1} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.629 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.678 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_27{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 1} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.692 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.089.738 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.230 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.279 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_31{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_27, [2]: ValueNode<FP32Imm> 2} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.357 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.385 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x5238ca0 End. The AObj is Tensor0x5238ca0{0x5238ca0, } user={}{Tensor'(3,), Float32'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.399 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 15 INPLACE_ADD 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.425 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_24{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: ValueNode<Int64Imm> 0, [2]: CNode_19} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.445 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_31{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_27, [2]: ValueNode<FP32Imm> 2} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.506 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_24{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: ValueNode<Int64Imm> 0, [2]: CNode_19} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.534 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_31{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_27, [2]: ValueNode<FP32Imm> 2} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.090.577 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.091.980 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [_tensor_add_tensor_33] Added global python symbol: {F : <module 'mindspore.ops.functional' from '/home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/functional.py'>}
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.667 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.714 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_34{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_24, [2]: CNode_31} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.787 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.815 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x524ca00 End. The AObj is Tensor0x524ca00{0x524ca00, } user={}{Tensor'(3,), Float32'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.830 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 16 STORE_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.840 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 17 JUMP_ABSOLUTE 14 -> 7 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.849 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 7 FOR_ITER 20 -> 18 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.911 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} for abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.924 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.977 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_5{[0]: ValueNode<Primitive> make_list, [1]: param_Parameter_2, [2]: param_Parameter_3, [3]: param_Parameter_4} for abstract wrapper: AbstractWrapper:
AbstractList{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.092.989 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 2, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.029 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.391 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.433 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_36{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 2} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.508 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.536 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x523eff0 End. The AObj is Tensor0x523eff0{0x523eff0, } user={}{Tensor'(3,), Int64'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.590 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<ValueTuple> (1.5, 2, 2.5) for abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.602 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.647 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<ValueTuple> (1.5, 2, 2.5) for abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape),
element[1]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape),
element[2]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.659 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<Int64Imm> 2 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Int64, Value: 2, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.093.705 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.051 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.088 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: ValueNode<FP32Imm> 2.5 with abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.103 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeFloat Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.119 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x524bae0 End. The AObj is float{value=2.5}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.145 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_36{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 2} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.165 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.186 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_36{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 2} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.199 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.234 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_38{[0]: ValueNode<Primitive> MakeTuple, [1]: CNode_36, [2]: ValueNode<FP32Imm> 2.5} with abstract wrapper: AbstractWrapper:
AbstractTuple{
element[0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny),
element[1]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), dynamic_len:0, is dyn arg:0}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.242 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTuple Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.274 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x525eb40 End. The AObj is Tuple<kTypeMultiType * 2> 0x525eb40{0x525eb40, } user={} value=((Tensor'(3,), Int64',2.5,))
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.287 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 8 UNPACK_SEQUENCE 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.297 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 9 STORE_FAST 3 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.305 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 10 STORE_FAST 4 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.326 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 11 LOAD_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.335 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 12 LOAD_FAST 3 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.342 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 13 LOAD_FAST 4 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.358 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 14 BINARY_MULTIPLY 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.379 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_36{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 2} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.392 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.441 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_36{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-getitem.12, [1]: CNode_5, [2]: ValueNode<Int64Imm> 2} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.454 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: ValueNode<FP32Imm> 2.5 for abstract wrapper: AbstractWrapper: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.512 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.094.999 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.047 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_40{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_36, [2]: ValueNode<FP32Imm> 2.5} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.110 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.138 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x5264c50 End. The AObj is Tensor0x5264c50{0x5264c50, } user={}{Tensor'(3,), Float32'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.152 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 15 INPLACE_ADD 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.176 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_34{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_24, [2]: CNode_31} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.196 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_40{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_36, [2]: ValueNode<FP32Imm> 2.5} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.248 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_34{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_24, [2]: CNode_31} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.268 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_40{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-mul.20, [1]: CNode_36, [2]: ValueNode<FP32Imm> 2.5} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.334 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.855 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.902 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:909] TryToAddNode] Add node: @fn_118_1:CNode_42{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_34, [2]: CNode_40} with abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.965 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:427] MakeAObject] Create AbstractObject kTypeTensor Start...
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.095.992 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/abstract_object.cc:479] MakeAObject] Create AbstractObject 0x4e75950 End. The AObj is Tensor0x4e75950{0x4e75950, } user={}{Tensor'(3,), Float32'} data_allocated=False
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.006 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 16 STORE_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.015 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 17 JUMP_ABSOLUTE 14 -> 7 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.024 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 7 FOR_ITER 20 -> 18 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:120"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.034 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 18 LOAD_FAST 2 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:122"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.042 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_build.cc:1873] DoByteCode] Do bytecode 19 RETURN_VALUE 0 at "/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:122"
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.059 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_analyzer.cc:198] Analyze] Start graph analyze
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.097 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_analyzer.cc:591] AnalyzeTopGraphAliveNodes] Start analyze : 15 INPLACE_ADD Node(0x5270940) vobj=Tensor0x4e75950{0x4e75950, } user={}{Tensor'(3,), Float32'} data_allocated=False inputs=(0x522f860,0x5267b00,) constant: type=Tensor, abs : AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.119 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_42{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_34, [2]: CNode_40} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.141 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_analyzer.cc:599] AnalyzeTopGraphAliveNodes] Add graph output : 15 INPLACE_ADD Node(0x5270940) vobj=Tensor0x4e75950{0x4e75950, } user={}{Tensor'(3,), Float32'} data_allocated=False inputs=(0x522f860,0x5267b00,) constant: type=Tensor,
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.160 [mindspore/ccsrc/pipeline/jit/pi/graph_capture/graph_analyzer.cc:600] AnalyzeTopGraphAliveNodes] Add node to captured.outputs [15 INPLACE_ADD Node(0x5270940) vobj=Tensor0x4e75950{0x4e75950, } user={}{Tensor'(3,), Float32'} data_allocated=False inputs=(0x522f860,0x5267b00,) constant: type=Tensor, ]
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.180 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:382] FindNodeByWrapper] Found node: @fn_118_1:CNode_42{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_34, [2]: CNode_40} for abstract wrapper: AbstractWrapper: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.195 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:1032] graph] Output node before attach isolated node: @fn_118_1:CNode_42{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_34, [2]: CNode_40}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.208 [mindspore/ccsrc/pipeline/jit/pi/graph_build/func_graph_builder.cc:1034] graph] Output node after attach isolated node: @fn_118_1:CNode_42{[0]: ValueNode<MultitypeFuncGraph> MetaFuncGraph-add.25, [1]: CNode_34, [2]: CNode_40}
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.725 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.743 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Int64, Value: 0, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.754 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.764 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Int64, Value: 1, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.780 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.790 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Int64, Value: 2, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.800 [mindspore/ccsrc/pipeline/jit/pi/graph_build/build_graph_utils.cc:372] PrintConstantAbstract] Encounter constant value node with abstract: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape)
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.096.916 [mindspore/ccsrc/pipeline/jit/pi/graph_compiler/compiler.cc:214] Compile] Args for compile: (Tensor(shape=[3], dtype=Int64, value= [1, 1, 1]), Tensor(shape=[3], dtype=Int64, value= [2, 2, 2]), Tensor(shape=[3], dtype=Int64, value= [3, 3, 3]), 1.5, 2.0, 2.5)
[INFO] VM(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.018 [mindspore/ccsrc/backend/graph_compiler/transform.cc:581] CreateBackend] CreateBackend is: ms
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.060 [mindspore/ccsrc/debug/debugger/debugger.cc:92] Init] Debugger got device_id: 0
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.068 [mindspore/ccsrc/debug/debugger/debugger.cc:94] Init] Debugger got device_target: CPU
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.115 [mindspore/ccsrc/runtime/graph_scheduler/graph_scheduler.cc:755] Initialize] The actor thread number: 5, the kernel thread number: 25
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.143 [mindspore/ccsrc/common/debug/env_config_parser.cc:152] ParseFromFile] The 'env_config_path' in 'mindspore.context.set_context(env_config_path={path})' is empty.
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.157 [mindspore/ccsrc/debug/hooker/hook_debugger.h:30] HookDebugger] Dump Hook is not enabled, please set MS_HOOK_ENABLE.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.184 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass type_inference start ...
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.198 [mindspore/core/ir/manager.cc:490] AddIntoManaged] A func graph can only have one manager.
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.260 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.097.911 [mindspore/core/ir/manager.cc:490] AddIntoManaged] A func graph can only have one manager.
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.098.397 [mindspore/core/ir/manager.cc:490] AddIntoManaged] A func graph can only have one manager.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.101.086 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.101.144 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:229] Run] Specialize set top func graph context: {FuncGraph: 0I.<compile[0]>fn_1 Args: [0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), [1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), [2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), [3]: AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape), [4]: AbstractScalar(Type: Float32, Value: 2, Shape: NoShape), [5]: AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape), Parent: <Dummy Context>}
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.157 [mindspore/ccsrc/pipeline/jit/ps/action.cc:245] UpdateFuncGraphParameter] Remove the 3th parameter, since it's passed a constant argument.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.175 [mindspore/ccsrc/pipeline/jit/ps/action.cc:245] UpdateFuncGraphParameter] Remove the 4th parameter, since it's passed a constant argument.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.182 [mindspore/ccsrc/pipeline/jit/ps/action.cc:245] UpdateFuncGraphParameter] Remove the 5th parameter, since it's passed a constant argument.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.195 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass type_inference end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.204 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass auto_monad start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.293 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass auto_monad end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.300 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass graph_reusing start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.309 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass graph_reusing end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.328 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass pre_auto_parallel start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.341 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass pre_auto_parallel end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.347 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass py_interpret_to_execute start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.355 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass py_interpret_to_execute end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.362 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass rewriter_before_opt_a start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.426 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass rewriter_before_opt_a end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.433 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass expand_dump_flag start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.441 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass expand_dump_flag end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.102.447 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass jit_opt_a start ...
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.105.390 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [fill_43] Added global python symbol: {cast_ : Prim[Cast]}
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.105.514 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:156] WriteVariable] fill_43 update var `value` with node @fill_43:value{[0]: CNode_44, [1]: param_value, [2]: param_type}
[INFO] PARSER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.105.617 [mindspore/ccsrc/pipeline/jit/ps/parse/function_block.cc:430] HandleNamespaceSymbol] [fill_43] Added global python symbol: {fillv2_ : Prim[FillV2]}
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.408 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.switch_simplify
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.434 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_switch_simplify
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.501 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.switch_simplify.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.524 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.loop_unroll
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.532 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_loop_unroll
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.565 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.loop_unroll.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.575 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.a_1
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.106.582 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_a_1
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.162 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.a_1.changed
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.177 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.recompute_prepare
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.184 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_recompute_prepare
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.197 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.recompute_prepare.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.205 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.updatestate_depend_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.216 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.updatestate_depend_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.224 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.updatestate_assign_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.234 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.updatestate_assign_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.242 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.updatestate_loads_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.251 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.updatestate_loads_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.259 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.parameter_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.267 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.parameter_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.275 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.updatestate_useless_node_eliminater
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.281 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_updatestate_useless_node_eliminater
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.293 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.updatestate_useless_node_eliminater.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.301 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.accelerated_algorithm
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.325 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_accelerated_algorithm
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.344 [mindspore/ccsrc/frontend/optimizer/opt.cc:232] ApplyIRToSubstitutions] There may be a problem. Substitution: jit_opt_a.r1.accelerated_algorithm.less_batch_normalization
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.356 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.accelerated_algorithm.changed
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.365 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.meta_shard_fg_expand
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.373 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.meta_shard_fg_expand.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.381 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.get_grad_eliminate_
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.388 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_get_grad_eliminate_
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.400 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.get_grad_eliminate_.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.408 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.merge_forward
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.419 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.merge_forward.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.426 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.cell_reuse_recompute_pass
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.434 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.cell_reuse_recompute_pass.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.441 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.448 [mindspore/ccsrc/frontend/optimizer/opt.cc:394] operator()] SUB >> IR, jit_opt_a_r1_cell_reuse_handle_not_recompute_node_pass
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.456 [mindspore/ccsrc/frontend/optimizer/opt.cc:340] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.493 [mindspore/ccsrc/frontend/optimizer/opt.cc:347] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.503 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.cell_reuse_handle_not_recompute_node_pass.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.512 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.j_node_and_user_rematch
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.518 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_j_node_and_user_rematch
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.533 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.j_node_and_user_rematch.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.542 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.inplace_validation
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.556 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.inplace_validation.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.564 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.meta_fg_expand
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.574 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.meta_fg_expand.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.582 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.inplace_validation_after_expand
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.593 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.inplace_validation_after_expand.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.601 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.replace_old_param
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.607 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_replace_old_param
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.621 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.replace_old_param.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.629 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.inline_without_move
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.635 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_inline_without_move
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.647 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.inline_without_move.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.655 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.renormalize
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.107.966 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/evaluator.cc:442] Eval] Add root_func_graph_backup
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.132 [mindspore/ccsrc/pipeline/jit/ps/action.cc:391] AbstractAnalyze] function call depth: 0, simulate call depth: 0
[INFO] ANALYZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.167 [mindspore/ccsrc/pipeline/jit/ps/static_analysis/program_specialize.cc:229] Run] Specialize set top func graph context: {FuncGraph: 1_0I.<compile[0]>fn_45 Args: [0]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), [1]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), [2]: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), Parent: <Dummy Context>}
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.355 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.renormalize.changed
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.374 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.add_forward_monad_depend
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.383 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.add_forward_monad_depend.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.390 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.auto_monad_grad
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.403 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.auto_monad_grad.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.410 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.auto_monad_eliminator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.439 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.auto_monad_eliminator.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.447 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.cse
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.501 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.cse.changed
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.512 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r1.j0.replace_applicator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.519 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r1_replace_applicator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.532 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r1.j0.replace_applicator.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.540 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.switch_simplify
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.546 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_switch_simplify
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.557 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.switch_simplify.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.568 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.loop_unroll
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.577 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_loop_unroll
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.594 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.loop_unroll.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.606 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.a_1
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.614 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_a_1
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.718 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.a_1.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.726 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.recompute_prepare
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.732 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_recompute_prepare
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.743 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.recompute_prepare.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.750 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.updatestate_depend_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.761 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.updatestate_depend_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.769 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.updatestate_assign_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.783 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.updatestate_assign_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.791 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.updatestate_loads_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.800 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.updatestate_loads_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.807 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.parameter_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.814 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.parameter_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.822 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.updatestate_useless_node_eliminater
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.828 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_updatestate_useless_node_eliminater
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.839 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.updatestate_useless_node_eliminater.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.846 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.accelerated_algorithm
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.852 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_accelerated_algorithm
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.865 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.accelerated_algorithm.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.873 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.meta_shard_fg_expand
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.880 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.meta_shard_fg_expand.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.887 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.get_grad_eliminate_
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.893 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_get_grad_eliminate_
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.904 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.get_grad_eliminate_.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.911 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.merge_forward
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.921 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.merge_forward.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.928 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.cell_reuse_recompute_pass
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.935 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.cell_reuse_recompute_pass.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.942 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.953 [mindspore/ccsrc/frontend/optimizer/opt.cc:394] operator()] SUB >> IR, jit_opt_a_r2_cell_reuse_handle_not_recompute_node_pass
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.961 [mindspore/ccsrc/frontend/optimizer/opt.cc:340] ApplySubstitutionsToIR] Start substitution: remove_not_recompute_node
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.974 [mindspore/ccsrc/frontend/optimizer/opt.cc:347] ApplySubstitutionsToIR] End substitution: remove_not_recompute_node, change: 0
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.981 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.cell_reuse_handle_not_recompute_node_pass.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.988 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.j_node_and_user_rematch
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.108.995 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_j_node_and_user_rematch
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.008 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.j_node_and_user_rematch.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.016 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.inplace_validation
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.025 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.inplace_validation.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.033 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.meta_fg_expand
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.041 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.meta_fg_expand.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.048 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.inplace_validation_after_expand
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.059 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.inplace_validation_after_expand.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.067 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.replace_old_param
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.073 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_replace_old_param
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.085 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.replace_old_param.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.093 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.inline_without_move
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.099 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_inline_without_move
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.109 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.inline_without_move.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.116 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.renormalize
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.122 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.renormalize.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.129 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.add_forward_monad_depend
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.138 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.add_forward_monad_depend.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.146 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.auto_monad_grad
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.152 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.auto_monad_grad.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.160 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.auto_monad_eliminator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.172 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.auto_monad_eliminator.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.179 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.cse
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.201 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.cse.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.209 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_a.r2.j0.replace_applicator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.216 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_a_r2_replace_applicator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.226 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_a.r2.j0.replace_applicator.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.234 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass jit_opt_a end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.241 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass py_interpret_to_execute_after_opt_a start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.249 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass py_interpret_to_execute_after_opt_a end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.255 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass rewriter_after_opt_a start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.279 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass rewriter_after_opt_a end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.286 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass convert_after_rewriter start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.292 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass convert_after_rewriter end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.298 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass order_py_execute_after_rewriter start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.305 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass order_py_execute_after_rewriter end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.320 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass jit_opt_b start ...
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.328 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_b.r1.j0.frontend_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.335 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_b_r1_frontend_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.352 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_b.r1.j0.frontend_op_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.363 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_b.r1.j0.inline_after_opt_a
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.370 [mindspore/ccsrc/frontend/optimizer/opt.cc:394] operator()] SUB >> IR, jit_opt_b_r1_inline_after_opt_a
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.376 [mindspore/ccsrc/frontend/optimizer/opt.cc:340] ApplySubstitutionsToIR] Start substitution: tuple_list_get_item_eliminator
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.386 [mindspore/ccsrc/frontend/optimizer/opt.cc:347] ApplySubstitutionsToIR] End substitution: tuple_list_get_item_eliminator, change: 0
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.392 [mindspore/ccsrc/frontend/optimizer/opt.cc:340] ApplySubstitutionsToIR] Start substitution: reset_defer_inline
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.401 [mindspore/ccsrc/frontend/optimizer/opt.cc:347] ApplySubstitutionsToIR] End substitution: reset_defer_inline, change: 0
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.407 [mindspore/ccsrc/frontend/optimizer/opt.cc:340] ApplySubstitutionsToIR] Start substitution: inline
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.416 [mindspore/ccsrc/frontend/optimizer/opt.cc:347] ApplySubstitutionsToIR] End substitution: inline, change: 0
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.422 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_b.r1.j0.inline_after_opt_a.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.429 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass jit_opt_b end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.435 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass cconv start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.450 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass cconv end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.457 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass loop_unroll start ...
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.761 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start loop_unroll_optimizer.r1.j0.loop_unroll
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.777 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, loop_unroll_optimizer_r1_loop_unroll
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.792 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End loop_unroll_optimizer.r1.j0.loop_unroll.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.803 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass loop_unroll end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.811 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass jit_opt_after_cconv start ...
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.819 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.c_1
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.825 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_after_cconv_r1_c_1
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.846 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.c_1.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.854 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.parameter_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.862 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.parameter_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.874 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.updatestate_depend_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.890 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.updatestate_depend_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.898 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.updatestate_assign_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.907 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.updatestate_assign_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.915 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.updatestate_loads_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.925 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.updatestate_loads_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.932 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.cse
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.957 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.cse.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.965 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.call_graph_tuple_transform
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.971 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, jit_opt_after_cconv_r1_call_graph_tuple_transform
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.989 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.call_graph_tuple_transform.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.109.997 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start jit_opt_after_cconv.r1.j0.renormalize
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.003 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End jit_opt_after_cconv.r1.j0.renormalize.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.010 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass jit_opt_after_cconv end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.017 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass remove_dup_value start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.038 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass remove_dup_value end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.045 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass partial_unused_args_eliminate start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.052 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass partial_unused_args_eliminate end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.058 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass environ_conv start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.072 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass environ_conv end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.078 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass add_recomputation start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.133 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass add_recomputation end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.140 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass cse_after_recomputation start ...
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.148 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start opt_after_recompute.r1.j0.cse
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.168 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End opt_after_recompute.r1.j0.cse.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.176 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass cse_after_recomputation end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.182 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass auto_monad_reorder start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.203 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass auto_monad_reorder end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.210 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass get_jit_bprop_graph start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.225 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass get_jit_bprop_graph end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.231 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass rewriter_after_jit_bprop_graph start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.238 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass rewriter_after_jit_bprop_graph end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.244 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass opt_after_jit_grad start ...
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.546 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.563 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, opt_after_jit_grad_r1_ad_related_special_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.580 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End opt_after_jit_grad.r1.j0.ad_related_special_op_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.590 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start opt_after_jit_grad.r1.j0.mutable_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.596 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, opt_after_jit_grad_r1_mutable_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.609 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End opt_after_jit_grad.r1.j0.mutable_op_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.616 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start opt_after_jit_grad.r1.j0.convert_tensor_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.623 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, opt_after_jit_grad_r1_convert_tensor_op_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.633 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End opt_after_jit_grad.r1.j0.convert_tensor_op_eliminate.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.643 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass opt_after_jit_grad end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.651 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass validate start ...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.686 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass validate end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.710 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass backend_pass start ...
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.721 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start backend_pass.r1.j0.make_tuple_from_fprop_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.728 [mindspore/ccsrc/frontend/optimizer/opt.cc:390] operator()] IR >> SUB, *, backend_pass_r1_make_tuple_from_fprop_eliminate
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.744 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End backend_pass.r1.j0.make_tuple_from_fprop_eliminate.unchanged
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.752 [mindspore/ccsrc/frontend/optimizer/optimizer.h:266] operator()] Start backend_pass.r1.j0.renormalize
[INFO] OPTIMIZER(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.758 [mindspore/ccsrc/frontend/optimizer/optimizer.h:270] operator()] End backend_pass.r1.j0.renormalize.unchanged
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.766 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass backend_pass end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.772 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass task_emit start ...
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.781 [mindspore/core/utils/ms_context.cc:839] UseNewBackend] Use the new backend.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.825 [mindspore/ccsrc/pipeline/jit/ps/action.cc:1859] TaskEmitAction] Use the new backend.
[INFO] VM(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.835 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:208] GetOrCreateBackend] The created backend type: 0
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.855 [mindspore/ccsrc/debug/debugger/debugger.cc:92] Init] Debugger got device_id: 0
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.862 [mindspore/ccsrc/debug/debugger/debugger.cc:94] Init] Debugger got device_target: CPU
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.886 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2020] Build] Status record: start compile function graph: 16_1_0I.<compile[0]>fn_46
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.941 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2038] Build] [PROF]InitCommGroup costs 0.036 msec.
[INFO] DISTRIBUTED(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.952 [mindspore/ccsrc/distributed/collective/collective_manager.cc:883] WaitAllCommInitDone] All device communictor is initialized. You can launch communication operators after this step.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.961 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2042] Build] [PROF]WaitAllCommInit costs 0.01 msec.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.110.990 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:552] IsEnableControlFlowInline] Disable switch inline, executor mode:1
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.002 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:382] DoUnifyMindIRPass] Do unify mindir pass for graph 16_1_0I.<compile[0]>fn_46
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.015 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_unify_mindir_pm_0_erase_invalid_micro_depend in 1.149 us
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.042 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:219] EnableKBKCompileCache] Disable backend compile cache by front config.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.080 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2071] Build] 16_1_0I.<compile[0]>fn_46, is_dynamic_graph: 0
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.106 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:631] BuildSymbolEngine] Status record: skip build symbol engine for function graph: 16_1_0I.<compile[0]>fn_46
[INFO] VM(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.120 [mindspore/ccsrc/backend/graph_compiler/graph_partition.cc:874] Partition] GraphPartion Info: 16_1_0I.<compile[0]>fn_46 inline mode:0
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.192 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1145] CompileGraph] Compile graph: 16_1_0I.<compile[0]>fn_46, Split segments size: 2
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.215 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1054] CompileGraphFromSegment] Compile normal segment, the first node: @16_1_0I.<compile[0]>fn_46:CNode_47{[0]: ValueNode<Primitive> PrimFunc_Muls, [1]: param_Parameter_48, [2]: ValueNode<FP32Imm> 2.5}
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.258 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:645] CompileGraph] Status record: start compile graph.
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.280 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:2237] ConstructKernelGraph] Create graph: 0
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.362 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1460] GetNewCNodeInputs] Create new parameter:@kernel_graph0:param_Parameter_49 by front parameter:@16_1_0I.<compile[0]>fn_46:param_Parameter_48
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.444 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1460] GetNewCNodeInputs] Create new parameter:@kernel_graph0:param_Parameter_50 by front parameter:@16_1_0I.<compile[0]>fn_46:param_Parameter_51
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.517 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:1460] GetNewCNodeInputs] Create new parameter:@kernel_graph0:param_Parameter_52 by front parameter:@16_1_0I.<compile[0]>fn_46:param_Parameter_53
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.592 [mindspore/ccsrc/backend/common/session/kernel_graph_mgr.cc:3506] ConstructOutput] Output:@16_1_0I.<compile[0]>fn_46:CNode_54{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: CNode_55, [2]: CNode_47}
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.700 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:84] Build] exec order build by bfs
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.763 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:653] CompileGraph] [PROF]ConstructKernelGraph costs 0.49 msec.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.799 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:464] RecursiveSetRunMode] Kernel graph: kernel_graph0, set run mode:KernelMode
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.833 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:191] EliminateIllegalDataTypePass] Start eliminate illegal data type for kernel graph id:0
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.858 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_0_convert_list_to_tuple in 5.703 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.923 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_eliminate_illegal_data_type_pm_1_eliminate_func_type in 53.071 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.943 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:204] EliminateIllegalDataTypePass] [PROF]EliminateIllegalDataTypePass costs 0.107 msec.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.957 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:151] CommonUnifyMindIR] start common unify mindir opt graph:0
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.111.969 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: conv_transpose_to_conv_backprop_input
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.011 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_0_conv_transpose_to_conv_backprop_input in 39.823 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.020 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: custom_op_reg_info_to_attr
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.038 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_1_custom_op_reg_info_to_attr in 15.714 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.047 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:398] Run] Prim Custom not exist in name to cnode
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.055 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_2_inplace_assign_for_custom_op in 7.967 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.062 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_attr_to_unify_mindir
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.091 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_unify_mindir_pm_3_convert_attr_to_unify_mindir in 27.127 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.105 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:164] CommonUnifyMindIR] [PROF]CommonUnifyMindIR costs 0.146 msec.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.121 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:81] BackendCommonOptimization] Status record: start common optimization. graph id: 0
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.143 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: convert_dynamic_broadcast_to
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.175 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_0_convert_dynamic_broadcast_to in 30.915 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.234 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_1_convert_const_input_to_attr in 47.175 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.269 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_2_custom_op_const_input_to_attr in 23.908 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.308 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_3_convert_const_input_to_tensor_input in 28.224 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.355 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_4_convert_const_input_to_tensor_input_for_print in 22.7 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.443 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_5_convert_tuple_output_to_maketuple in 75.956 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.455 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_6_convert_unused_tuple_para_to_make_tuple in 1.619 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.469 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_7_flatten_concat_fission is enabled.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.528 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_7_flatten_concat_fission in 48.017 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.570 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_8_inset_input_structural_for_py_execute in 28.976 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.578 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_9_broadcast_to_fusion is enabled.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.613 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_9_broadcast_to_fusion in 25.824 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.669 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_common_pm_10_add_attr_to_node in 43.721 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.677 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:117] Run] graph kernel pass hwopt_fusion_common_pm_11_replace_addn is enabled.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.714 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_fusion_common_pm_11_replace_addn in 28.133 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.730 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:93] BackendCommonOptimization] [PROF]BackendCommonOptimization costs 0.606 msec.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.737 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:100] BackendCommonOptimization] Status record: end common optimization. graph id: 0
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.767 [mindspore/ccsrc/backend/common/optimizer/common_backend_optimization.cc:258] OptimizationWithoutBackend] [PROF]OptimizationWithoutBackend costs 0.933 msec.
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.798 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:84] Build] exec order build by bfs
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.909 [mindspore/ccsrc/runtime/graph_scheduler/graph_compiler.cc:770] CompileGraph] Status record: end compile graph. graph id: 0
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.962 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1092] CompileGraphFromSegment] Compile cut segment, the cut node: @16_1_0I.<compile[0]>fn_46:CNode_56{[0]: ValueNode<Primitive> Return, [1]: CNode_54}
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.977 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2077] Build] [PROF]CompileSubGraph costs 1.92 msec.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.112.985 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:253] ExportCompileCacheKBK] Compile cache: disable by front compile cache config.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.013 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2091] Build] Status record: construct the graph compiler info.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.024 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:1551] CheckEnableGraphPipeline] Enable pynative and graph pipeline for graph: kernel_graph_0
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.041 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:196] Refresh] Stream manager initialize, stream_size : 0.
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.048 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:199] Refresh] Stream size is 0, will initialize with 2 streams.
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.055 [mindspore/ccsrc/runtime/device/res_manager/multi_stream_controller.cc:60] Resize] Task id on stream manager initialize : 0, stream_size : 2.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.065 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2119] Build] [PROF]compile_backend_graph costs 2.168 msec.
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.079 [mindspore/ccsrc/backend/ms_backend/ms_backend_base.cc:2122] Build] Status record: end compile function graph: 16_1_0I.<compile[0]>fn_46, produce actor: kernel_graph_0, backend_graph_id: 0
[INFO] VM(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.088 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:118] Build] Backend build graph, backend name: , backend type: 0, backend graph id: 0
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.098 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass task_emit end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.107 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:516] SetLoopCount] Change vm_loop_flag to 0, set loop_size to 1
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.114 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:60] operator()] Pass execute start ...
[INFO] CORE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.120 [mindspore/core/utils/ms_context.cc:839] UseNewBackend] Use the new backend.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.129 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:77] operator()] Pass execute end.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.143 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:349] SaveCompiledGraph] Save compiled func graph(16_1_0I.<compile[0]>fn_46) phase(/home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py_118_0I.<compile[0]>fn_AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)_AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)_AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)_AbstractScalar(Type: Float32, Value: 1.5, Shape: NoShape)_AbstractScalar(Type: Float32, Value: 2, Shape: NoShape)_AbstractScalar(Type: Float32, Value: 2.5, Shape: NoShape).pi_jit)!
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.152 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:352] SaveCompiledGraph] End save compiled func graph!
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.158 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:431] CleanCompileRes] Clean compile resource start
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.847 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:442] CleanCompileRes] Clean compile resource end
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.113.881 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:266] CompileInner] Finish compiling.
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.495 [mindspore/ccsrc/pipeline/jit/pi/runtime.cc:763] CheckGuard] Check guard success!
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.537 [mindspore/ccsrc/pipeline/jit/pi/runtime.cc:763] CheckGuard] Check guard success!
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.591 [mindspore/ccsrc/pipeline/jit/pi/graph_compiler/compiler.cc:131] EliminateInvalidArgs] Eliminate invalid argument at index 3, arg object: 1.5
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.603 [mindspore/ccsrc/pipeline/jit/pi/graph_compiler/compiler.cc:131] EliminateInvalidArgs] Eliminate invalid argument at index 4, arg object: 2.0
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.613 [mindspore/ccsrc/pipeline/jit/pi/graph_compiler/compiler.cc:131] EliminateInvalidArgs] Eliminate invalid argument at index 5, arg object: 2.5
[INFO] PI(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.657 [mindspore/ccsrc/pipeline/jit/pi/graph_compiler/compiler.cc:148] RunGraph] Args for run: (Tensor(shape=[3], dtype=Int64, value= [1, 1, 1]), Tensor(shape=[3], dtype=Int64, value= [2, 2, 2]), Tensor(shape=[3], dtype=Int64, value= [3, 3, 3]))
[INFO] VM(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.682 [mindspore/ccsrc/backend/backend_manager/backend_manager.cc:127] Run] Backend run graph: 0, backend type: 0
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.695 [mindspore/ccsrc/backend/ms_backend/ms_backend.cc:355] RunGraphByActors] Status record: begin run actor: 0
[INFO] RUNTIME_FRAMEWORK(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.722 [mindspore/ccsrc/backend/ms_backend/ms_backend.cc:309] RealCompileGraphBeforeRunActor] Replace parameter format
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.114.996 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_pm_0_softmax_grad_fusion_cpu in 48.53 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.045 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_pm_1_matmul_biasadd_relu_fusion_cpu in 30.608 us
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.089 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_pm_2_dynamic_sequence_ops_adaptation in 32.321 us
[INFO] SESSION(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.150 [mindspore/ccsrc/backend/common/session/exec_order_builder.cc:84] Build] exec order build by bfs
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.232 [mindspore/ccsrc/backend/common/optimizer/node_pass.cc:389] Run] Run fast pass: add_dynamic_shape_attr
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.279 [mindspore/ccsrc/backend/common/optimizer/pass_manager.cc:75] RunPass] Run pass hwopt_add_dynamic_shape_attr_0_add_dynamic_shape_attr in 45.21 us
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.343 [mindspore/ops/kernel/common/oplib/oplib.cc:295] FindOp] Note: Op: Muls, processor: CPU, imply type: 3 is not exist, op info num: 64
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.115.358 [mindspore/ccsrc/plugin/device/cpu/kernel/cpu_kernel.h:160] GetCpuSupportedList] Not register CPU kernel of operator: Muls
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.117.856 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Expand/_Muls/Cast-op0 kernel attr info: input[Tensor Float32 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.118.187 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Expand/_Muls/Mul-op0 kernel attr info: input[Tensor Int64 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[WARNING] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.118.238 [mindspore/ccsrc/backend/common/expander/fallback/expander_fallback.cc:109] IbTryExpandCNode] After expanding cnode Default/Muls-op0, the new abstract of Expand/_Muls/Mul-op0 does not match original cnode's abstract. new: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), old: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.118.271 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:486] SetOperatorInfo] Unsupported op [Muls] on CPU, Please confirm whether the device target setting is correct, or refer to 'mindspore.ops' at https://www.mindspore.cn to query the operator support list.#dmsg#The Function Call Stack:#dmsg#In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:2045, 11~32/ return muls_op(input, other)/
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:2041~2045/def muls(input, other):/
In file /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121/ ret += (a * b)/
but expand success.
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.118.283 [mindspore/ops/kernel/common/oplib/oplib.cc:295] FindOp] Note: Op: Muls, processor: CPU, imply type: 3 is not exist, op info num: 64
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.118.292 [mindspore/ccsrc/plugin/device/cpu/kernel/cpu_kernel.h:160] GetCpuSupportedList] Not register CPU kernel of operator: Muls
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.449 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Expand/_Muls/Cast-op1 kernel attr info: input[Tensor Float32 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.752 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Expand/_Muls/Mul-op1 kernel attr info: input[Tensor Int64 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[WARNING] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.801 [mindspore/ccsrc/backend/common/expander/fallback/expander_fallback.cc:109] IbTryExpandCNode] After expanding cnode Default/Muls-op1, the new abstract of Expand/_Muls/Mul-op1 does not match original cnode's abstract. new: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), old: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.827 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:486] SetOperatorInfo] Unsupported op [Muls] on CPU, Please confirm whether the device target setting is correct, or refer to 'mindspore.ops' at https://www.mindspore.cn to query the operator support list.#dmsg#The Function Call Stack:#dmsg#In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:2045, 11~32/ return muls_op(input, other)/
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:2041~2045/def muls(input, other):/
In file /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121/ ret += (a * b)/
but expand success.
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.838 [mindspore/ops/kernel/common/oplib/oplib.cc:295] FindOp] Note: Op: Add, processor: CPU, imply type: 3 is not exist, op info num: 64
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.920 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Default/Add-op0 kernel attr info: input[Tensor Int64 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.944 [mindspore/ops/kernel/common/oplib/oplib.cc:295] FindOp] Note: Op: Muls, processor: CPU, imply type: 3 is not exist, op info num: 64
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.119.959 [mindspore/ccsrc/plugin/device/cpu/kernel/cpu_kernel.h:160] GetCpuSupportedList] Not register CPU kernel of operator: Muls
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.121.016 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Expand/_Muls/Cast-op2 kernel attr info: input[Tensor Float32 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.121.271 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:754] SetKernelInfoWithMsg] Expand/_Muls/Mul-op2 kernel attr info: input[Tensor Int64 DefaultFormat,Tensor Int64 DefaultFormat,] output[Tensor Int64 DefaultFormat,]
[WARNING] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.121.331 [mindspore/ccsrc/backend/common/expander/fallback/expander_fallback.cc:109] IbTryExpandCNode] After expanding cnode Default/Muls-op2, the new abstract of Expand/_Muls/Mul-op2 does not match original cnode's abstract. new: AbstractTensor(shape: (3), element: AbstractScalar(Type: Int64, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny), old: AbstractTensor(shape: (3), element: AbstractScalar(Type: Float32, Value: ValueAny, Shape: NoShape), is adapter: False, value_ptr: 0xbbfef0, value: ValueAny)
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.121.355 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:486] SetOperatorInfo] Unsupported op [Muls] on CPU, Please confirm whether the device target setting is correct, or refer to 'mindspore.ops' at https://www.mindspore.cn to query the operator support list.#dmsg#The Function Call Stack:#dmsg#In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:2045, 11~32/ return muls_op(input, other)/
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:2041~2045/def muls(input, other):/
In file /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121/ ret += (a * b)/
but expand success.
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.121.366 [mindspore/ops/kernel/common/oplib/oplib.cc:295] FindOp] Note: Op: Add, processor: CPU, imply type: 3 is not exist, op info num: 64
[INFO] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.121.446 [mindspore/ccsrc/plugin/device/cpu/hal/device/kernel_select_cpu.cc:400] KernelNotSupportWarning] Select CPU operator[Add] fail. The detail info: input(Tensor(Float32),Tensor(Int64)) output(Tensor(Float32))
[CRITICAL] DEVICE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.122.007 [mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:483] SetOperatorInfo] Select CPU operator[Add] fail! Unsupported data type!
The supported data types are input[Int8 Int8], output[Int8]; input[Int16 Int16], output[Int16]; input[Int32 Int32], output[Int32]; input[Float32 Float32], output[Float32]; input[Int64 Int64], output[Int64]; input[Float64 Float64], output[Float64]; input[UInt8 UInt8], output[UInt8]; input[UInt16 UInt16], output[UInt16]; input[UInt32 UInt32], output[UInt32]; input[UInt64 UInt64], output[UInt64]; input[Bool Bool], output[Bool]; input[Float16 Float16], output[Float16]; input[BFloat16 BFloat16], output[BFloat16]; input[Complex64 Complex64], output[Complex64]; input[Complex128 Complex128], output[Complex128]; , but get input[Float32 Int64 ] and output[Float32 ]
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:659, 11~31/ return add_op(input, other)/
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:616~659/def add(input, other):/
In file /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121/ ret += (a * b)/
node: @kernel_graph0:CNode_57{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: @kernel_graph0:CNode_58{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: CNode_59, [2]: CNode_60}, [2]: @kernel_graph0:CNode_61{[0]: ValueNode<Primitive> PrimFunc_Mul, [1]: param_Parameter_49, [2]: CNode_62}}
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.122.033 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:116] TraceGraphEval] Length of analysis graph stack is empty.
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.122.042 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:670] GetEvalStackInfo] Get graph analysis information begin
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.122.049 [mindspore/ccsrc/pipeline/jit/ps/debug/trace.cc:673] GetEvalStackInfo] Length of analysis information stack is empty.
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.122.233 [mindspore/ccsrc/include/common/utils/python_utils.h:48] HandleExceptionRethrow] Caught exception:
----------------------------------------------------
- Kernel select failed:
----------------------------------------------------
Select CPU operator[Add] fail! Unsupported data type!
The supported data types are input[Int8 Int8], output[Int8]; input[Int16 Int16], output[Int16]; input[Int32 Int32], output[Int32]; input[Float32 Float32], output[Float32]; input[Int64 Int64], output[Int64]; input[Float64 Float64], output[Float64]; input[UInt8 UInt8], output[UInt8]; input[UInt16 UInt16], output[UInt16]; input[UInt32 UInt32], output[UInt32]; input[UInt64 UInt64], output[UInt64]; input[Bool Bool], output[Bool]; input[Float16 Float16], output[Float16]; input[BFloat16 BFloat16], output[BFloat16]; input[Complex64 Complex64], output[Complex64]; input[Complex128 Complex128], output[Complex128]; , but get input[Float32 Int64 ] and output[Float32 ]
----------------------------------------------------
- The Function Call Stack: (For framework developers)
----------------------------------------------------
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:659, 11~31/ return add_op(input, other)/
In file /home/jenkins/.local/lib/python3.9/site-packages/mindspore/ops/auto_generate/gen_ops_def.py:616~659/def add(input, other):/
In file /home/jenkins/agent-working-dir/workspace/Smoke_CPU_CentOS_Level0/testcases/tests/st/pi_jit/control_flow/test_for_iter.py:121/ ret += (a * b)/
node: @kernel_graph0:CNode_57{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: @kernel_graph0:CNode_58{[0]: ValueNode<Primitive> PrimFunc_Add, [1]: CNode_59, [2]: CNode_60}, [2]: @kernel_graph0:CNode_61{[0]: ValueNode<Primitive> PrimFunc_Mul, [1]: param_Parameter_49, [2]: CNode_62}}
----------------------------------------------------
- C++ Call Stack: (For framework developers)
----------------------------------------------------
mindspore/ccsrc/plugin/device/cpu/hal/hardware/cpu_device_context.cc:483 SetOperatorInfo
=========================== short test summary info ============================
FAILED test_for_iter.py::test_for_zip_iter_1 - TypeError:
============================== 1 failed in 0.32s ===============================
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.133.641 [mindspore/ccsrc/pybind_api/init.cc:651] operator()] Start register...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.133.656 [mindspore/ccsrc/pybind_api/init.cc:654] operator()] Start mindspore.profiler...
--- Logging error ---
Traceback (most recent call last):
File "/usr/local/python/python390/lib/python3.9/logging/__init__.py", line 1082, in emit
stream.write(msg + self.terminator)
ValueError: I/O operation on closed file.
Call stack:
File "/home/jenkins/.local/lib/python3.9/site-packages/mindspore/profiler/envprofiler.py", line 57, in analyse
logger.info("analyse start")
File "/home/jenkins/.local/lib/python3.9/site-packages/mindspore/log.py", line 200, in info
_get_logger().info(msg, *args, **kwargs)
Message: 'analyse start'
Arguments: ()
--- Logging error ---
Traceback (most recent call last):
File "/usr/local/python/python390/lib/python3.9/logging/__init__.py", line 1082, in emit
stream.write(msg + self.terminator)
ValueError: I/O operation on closed file.
Call stack:
File "/home/jenkins/.local/lib/python3.9/site-packages/mindspore/profiler/envprofiler.py", line 59, in analyse
logger.info("Profiler is not initialized, skip analyse.")
File "/home/jenkins/.local/lib/python3.9/site-packages/mindspore/log.py", line 200, in info
_get_logger().info(msg, *args, **kwargs)
Message: 'Profiler is not initialized, skip analyse.'
Arguments: ()
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.145.956 [mindspore/ccsrc/pybind_api/init.cc:661] operator()] Start EmbeddingCacheScheduler...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.145.971 [mindspore/ccsrc/pybind_api/init.cc:668] operator()] Start releasing dataset handles...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.145.993 [mindspore/ccsrc/pybind_api/init.cc:671] operator()] End release dataset handles.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.146.001 [mindspore/ccsrc/pybind_api/resource/manager.cc:259] ClearResAtexit] Pipeline clear all resource
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.146.114 [mindspore/ccsrc/pybind_api/resource/manager.cc:82] RecordExitStatus] Status record: system exit.
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.146.166 [mindspore/core/mindrt/src/actor/actormgr.cc:165] Finalize] mindrt Actors finish exiting.
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.146.173 [mindspore/core/mindrt/src/actor/actormgr.cc:168] Finalize] mindrt Threads finish exiting.
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.050 [mindspore/core/mindrt/src/actor/actormgr.cc:179] Finalize] mindrt IOMGRS finish exiting.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.196 [mindspore/ccsrc/pybind_api/resource/manager.cc:134] ClearResPart1] Start Finalize StreamSynchronizer...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.207 [mindspore/ccsrc/pybind_api/resource/manager.cc:136] ClearResPart1] End Finalize StreamSynchronizer...
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.913 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:1001] ClearInfo] Clean graph resource!
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.926 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:1001] ClearInfo] Clean graph resource!
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.940 [mindspore/ccsrc/pipeline/jit/ps/pipeline.cc:996] ClearRes] Clean Graph executor resource!
[INFO] PIPELINE(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.946 [mindspore/ccsrc/pipeline/jit/ps/pipeline_jit.cc:426] ClearRes] Clean JIT executor resource!
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.155.953 [mindspore/ccsrc/pybind_api/resource/manager.cc:155] ClearResPart2] Start clear PyNativeExecutor...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.040 [mindspore/ccsrc/pybind_api/resource/manager.cc:157] ClearResPart2] End clear PyNativeExecutor.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.046 [mindspore/ccsrc/pybind_api/resource/manager.cc:159] ClearResPart2] Start clear ConfigManager...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.052 [mindspore/ccsrc/pybind_api/resource/manager.cc:161] ClearResPart2] End clear ConfigManager.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.061 [mindspore/ccsrc/pybind_api/resource/manager.cc:165] ClearResPart2] Start clear device context...
[INFO] ME(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.069 [mindspore/ccsrc/runtime/hardware/device_context_manager.cc:401] ClearDeviceContexts] Release device CPU_0
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.088 [mindspore/ccsrc/memory/mem_pool/mem_dynamic_allocator.cc:1167] operator()] Common mem pool info: Total allocated mem:1024M, peak used mem:0M, in used mem:0M, total use by event mem:0M, total idle mem:1023M. Block unit size:1024M, block counts:1, block[0] stream id:0 block size:1024M idle size:1023M actual size: 0M.
[INFO] PRE_ACT(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.097 [mindspore/ccsrc/memory/mem_pool/mem_dynamic_allocator.cc:1199] DumpDynamicMemPoolStateInfo] The dynamic memory pool total allocated mem:1024M, min addr :0, max addr: 0, peak used mem:0M, actual peak used mem:0M, in used mem:0M, total used by event mem:0M, total idle mem:1023M, total eager free mem:0M. Weight used size:0M, constant value used size:0M, kernel output used size:0M, other used size:0M.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.133 [mindspore/ccsrc/pybind_api/resource/manager.cc:167] ClearResPart2] End clear device context.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.139 [mindspore/ccsrc/pybind_api/resource/manager.cc:169] ClearResPart2] Start clear kernel runtime...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.147 [mindspore/ccsrc/pybind_api/resource/manager.cc:171] ClearResPart2] End clear kernel runtime.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.152 [mindspore/ccsrc/pybind_api/resource/manager.cc:173] ClearResPart2] Start clear CollectiveManager...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.159 [mindspore/ccsrc/pybind_api/resource/manager.cc:176] ClearResPart2] End clear CollectiveManager.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.164 [mindspore/ccsrc/pybind_api/resource/manager.cc:178] ClearResPart2] Start clear AnalysisResultCacheMgr...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.171 [mindspore/ccsrc/pybind_api/resource/manager.cc:180] ClearResPart2] End clear AnalysisResultCacheMgr.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.176 [mindspore/ccsrc/pybind_api/resource/manager.cc:182] ClearResPart2] Start clear AnalysisContext...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.182 [mindspore/ccsrc/pybind_api/resource/manager.cc:184] ClearResPart2] End clear AnalysisContext...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.187 [mindspore/ccsrc/pybind_api/resource/manager.cc:186] ClearResPart2] Start clear AnalysisSchedule...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.243 [mindspore/ccsrc/pybind_api/resource/manager.cc:188] ClearResPart2] End clear AnalysisSchedule...
[INFO] DEBUG(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.252 [mindspore/ccsrc/debug/debugger/debugger.cc:149] Reset] Release Debugger resource.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.273 [mindspore/ccsrc/pybind_api/resource/manager.cc:200] ClearResPart3] Start clear ClearObjectCache...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.279 [mindspore/ccsrc/pybind_api/resource/manager.cc:202] ClearResPart3] End clear ClearObjectCache...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.284 [mindspore/ccsrc/pybind_api/resource/manager.cc:204] ClearResPart3] Start clear Parser...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.291 [mindspore/ccsrc/pybind_api/resource/manager.cc:206] ClearResPart3] End clear Parser...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.297 [mindspore/ccsrc/pybind_api/resource/manager.cc:208] ClearResPart3] Start ClearTraceStack...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.303 [mindspore/ccsrc/pybind_api/resource/manager.cc:210] ClearResPart3] End ClearTraceStack...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.308 [mindspore/ccsrc/pybind_api/resource/manager.cc:212] ClearResPart3] Start clear InterpretNodeRecorder...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.324 [mindspore/ccsrc/pybind_api/resource/manager.cc:214] ClearResPart3] End clear InterpretNodeRecorder...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.329 [mindspore/ccsrc/pybind_api/resource/manager.cc:216] ClearResPart3] Start clear parallel::entire_costgraph...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.336 [mindspore/ccsrc/pybind_api/resource/manager.cc:218] ClearResPart3] End clear parallel::entire_costgraph...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.345 [mindspore/ccsrc/pybind_api/resource/manager.cc:220] ClearResPart3] Start clear ProtobufLibrary...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.433 [mindspore/ccsrc/pybind_api/resource/manager.cc:222] ClearResPart3] End clear ProtobufLibrary...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.440 [mindspore/ccsrc/pybind_api/resource/manager.cc:224] ClearResPart3] Start clear ParserDefaultObjects ...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.447 [mindspore/ccsrc/pybind_api/resource/manager.cc:226] ClearResPart3] End clear ParserDefaultObjects...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.453 [mindspore/ccsrc/pybind_api/resource/manager.cc:231] ClearResPart3] Start clear python_adapter...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.459 [mindspore/ccsrc/pybind_api/resource/manager.cc:233] ClearResPart3] End clear python_adapter.
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.464 [mindspore/ccsrc/pybind_api/resource/manager.cc:237] ClearSingleton] Start clear singleton...
[INFO] COMMON(1820428,7f04819ea740,python3):2025-03-29-10:11:50.156.719 [mindspore/ccsrc/pybind_api/resource/manager.cc:255] ClearSingleton] End clear singleton.