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| name | about | labels |
|---|---|---|
| Bug Report | Use this template for reporting a bug | kind/bug |
r2.3分支，EI模型推理结果正常，日志有error
Ascend/GPU/CPU) / 硬件环境:Please delete the backend not involved / 请删除不涉及的后端:
/device ascend/GPU/CPU
Software Environment / 软件环境 (Mandatory / 必填):
-- MindSpore version (e.g., 1.7.0.Bxxx) :
-- Python version (e.g., Python 3.7.5) :
-- OS platform and distribution (e.g., Linux Ubuntu 16.04):
-- GCC/Compiler version (if compiled from source):
Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):
Please delete the mode not involved / 请删除不涉及的模式:
/mode graph
模型推理结果ok，日志无warning
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.216 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.241 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.260 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.278 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.296 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.314 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.331 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.350 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.368 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.385 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
[ERROR] LITE(282522,7f70fb926fc0,test_basic_predict):2024-05-11-11:22:26.861.402 [mindspore/lite/src/litert/kernel_registry.cc:183] GetCustomKernel] creator is nullptr!
input_images:0:resize = false
[common.cpp] Loading data from: /home/jenkins-slave/workspace/mindspore_lite_testcases_opensource/MindSporeTest/predict/server/runtime/general//data/screenshot_angle_0.bin
[common.cpp]Read Binary Data Over, get tensorSize as: 12582912
inputs[i].DataSize() VS size: 12582912:12582912
Loading data from /home/jenkins-slave/workspace/mindspore_lite_testcases_opensource/MindSporeTest/predict/server/runtime/general//data/screenshot_angle_0.bin to model tensor: input_images:0
input_images:0:transpose = none
input_images:0 ---- 0.752876 0.918077 0.174976 0.101699 0.333585 0.602608 0.0285169 0.914086 0.286256 0.0386379
shape(1,1024,1024,3,)
accuracy_loss_index = 0
Loading accuracy_loss from prototxt -----feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0:0.05
value count: 1
from prototxt get accuracyLoss value :0.05
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][0] eval=0.000002 ,benchmark=0.000002
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][1] eval=0.000002 ,benchmark=0.000002
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][2] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][3] eval=0.000002 ,benchmark=0.000002
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][4] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][5] eval=0.000003 ,benchmark=0.000003
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][6] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][7] eval=0.000002 ,benchmark=0.000002
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][8] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][9] eval=0.000004 ,benchmark=0.000004
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][10] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][11] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][12] eval=0.000002 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][13] eval=0.000006 ,benchmark=0.000006
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][14] eval=0.000001 ,benchmark=0.000001
[Check][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0][...]
[Check][Result][Pass][feature_fusion/binarize_branch/Conv2d_transpose_1/Sigmoid:0]:accepted=0.05,actual=0
[ptest]Finish running ms_predict[ms_predict]:Success
INFO: Util [Check Result]: Success
INFO: No need to check graph kernel ir
INFO: [Final Result]: Success
Please assign maintainer to check this issue.
请为此issue分配处理人。
@fengyue25
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chenjianping
成员
Self-test Report & DT Review
修复PR：!69292:[MS][LITE]删除冗余日志
是否需要补充ST/UT：否
原因：问题单反馈的是有无效日志，对日志进行删除，通过代码review可保证，UT无法覆盖
INFO: Step [cpp_predict], cmd : cd /home/cy/testcase_execute/cpp_r2.3/run/; source env.sh; ./test_basic_predict ms_predict /home/cy/testcase_execute/cpp_r2.3/run/ /home/cy/testcase_execute/cpp_r2.3/run/test_mindir_net_ascend_screenshot_ocr_220930_att_ctc_batch1_handwriting_onnx_fp32_none.prototxt > tmp.log 2>&1 && echo Success || echo Failed; cat tmp.log
====================
INFO: Step [cpp_predict], res: Success
[ptest]Running ms_predictLoadPrototxtConfig
load prototxt file success
Load context info: cpu_bind_mode = 0
SetDeviceID: 0
Config file path is: /home/cy/testcase_execute/cpp_r2.3/run/data/ocr_batch.config
LoadConfig StatusCode:0
Model file path is: /home/cy/testcase_execute/cpp_r2.3/run/data/screenshot_ocr_220930_att_ctc_batch1_handwriting.mindir
[WARNING] GE_ADPT(82933,7f34f53fdfc0,test_basic_predict):2024-05-14-11:13:33.075.943 [mindspore/ccsrc/transform/symbol/acl_compiler_symbol.cc:32] LoadAclOpCompilerApiSymbol] Dlopen /usr/local/Ascend/latest/runtime/lib64/libacl_op_compiler.so failed!/usr/local/Ascend/latest/runtime/lib64/libacl_op_compiler.so: cannot open shared object file: No such file or directory
[WARNING] GE_ADPT(82933,7f34f53fdfc0,test_basic_predict):2024-05-14-11:13:33.077.110 [mindspore/ccsrc/transform/symbol/acl_tdt_symbol.cc:56] LoadAcltdtApiSymbol] Dlopen /usr/local/Ascend/latest/runtime/lib64/libacl_tdt_channel.so failed!/usr/local/Ascend/latest/runtime/lib64/libacl_tdt_channel.so: cannot open shared object file: No such file or directory
input:resize = false
[common.cpp] Loading data from: /home/cy/testcase_execute/cpp_r2.3/run//data/screenshot_ocr_220930_att_ctc_batch1_handwriting_0.bin
[common.cpp]Read Binary Data Over, get tensorSize as: 98304
inputs[i].DataSize() VS size: 98304:98304
Loading data from /home/cy/testcase_execute/cpp_r2.3/run//data/screenshot_ocr_220930_att_ctc_batch1_handwriting_0.bin to model tensor: input
input:transpose = none
input ---- 0.0201742 0.619827 0.47577 0.677162 0.537197 0.495775 0.696443 0.262078 0.214839 0.175916
shape(1,3,32,256,)
accuracy_loss_index = 6
Loading accuracy_loss from prototxt -----output:0.05
value count: 1
set default accuracyLoss value :0.04
[Check][output][0] eval=0.000000 ,benchmark=0.000000
[Check][output][1] eval=0.912109 ,benchmark=0.912233
[Check][output][2] eval=0.000000 ,benchmark=0.000000
[Check][output][3] eval=0.953613 ,benchmark=0.953553
[Check][output][4] eval=10.000000 ,benchmark=10.000000
[Check][output][5] eval=0.257568 ,benchmark=0.257685
[Check][output][6] eval=0.000000 ,benchmark=0.000000
[Check][output][7] eval=0.901855 ,benchmark=0.901562
[Check][output][8] eval=0.000000 ,benchmark=0.000000
[Check][output][9] eval=0.853516 ,benchmark=0.852993
[Check][output][10] eval=0.000000 ,benchmark=0.000000
[Check][output][11] eval=0.887695 ,benchmark=0.886628
[Check][output][12] eval=0.000000 ,benchmark=0.000000
[Check][output][13] eval=0.606445 ,benchmark=0.602744
[Check][output][14] eval=0.000000 ,benchmark=0.000000
[Check][output][...]
[Check][Result][Pass][output]:accepted=0.04,actual=0
[ptest]Finish running ms_predict[ms_predict]:Success
INFO: Util [Check Result]: Success
INFO: No need to check graph kernel ir
INFO: [Final Result]: Success
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