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Opened 1月 17, 2019 by saxon_zh@saxon_zhGuest

OCR End-to-end Inference

Created by: lijiancheng0614

  • 标题:OCR End-to-end 模型预测时出 core
  • 版本、环境信息:    1)PaddlePaddle版本:1.2.0.post85    2)CPU:预测若用CPU,请提供CPU型号,MKL/OpenBlas/MKLDNN/等数学库使用情况    3)系统环境:CentOS 6.3,Python 2.7.14 -预测信息    1)Python预测
  • 复现信息:    预测代码基本同 https://github.com/PaddlePaddle/models/blob/develop/fluid/PaddleCV/ocr_recognition/attention_model.py 中的 attention_infer    修改部分:
    init_ids = fluid.layers.fill_constant_batch_size_like(
                         input=init_state, shape=[-1, 1], value=0, dtype='int64')
    init_ids = fluid.layers.lod_reset(x=init_ids, y=images)
    init_scores = fluid.layers.fill_constant_batch_size_like(
                         input=init_state, shape=[-1, 1], value=1, dtype='float32')
    init_scores = fluid.layers.lod_reset(x=init_scores, y=images)
  • 问题描述:    第二个时刻的 pre_ids, pre_score 的 shape 和 lod 不太合理,导致 decoder_state_proj 的 shape 不对,最终在 decoder_state_expand = fluid.layers.sequence_expand 处出 core。    相关的 log:
1547634835      pre_ids Tensor[array_read_0.tmp_0]
        shape: [12,1,]
        dtype: l
        LoD: [[ 0,12, ]]
        data: 0,0,0,0,0,0,0,0,0,0,
1547634835      pre_state       Tensor[array_read_1.tmp_0]
        shape: [12,128,]
        dtype: f
        data: 0.00607281,0.0318905,0.0380818,0,0.0172632,0,0,0.0151736,0,0.0335344,
1547634835      pre_score       Tensor[array_read_2.tmp_0]
        shape: [12,1,]
        dtype: f
        LoD: [[ 0,12, ]]
        data: 1,1,1,1,1,1,1,1,1,1,
1547634835      decoder_state_proj      Tensor[fc_36.tmp_0]
        shape: [12,128,]
        dtype: f
        data: -0.000996387,-0.0245469,0.0171594,0.00709899,0.00126243,-0.0303947,0.00325922,0.00518241,0.0150218,0.0053458,
1547634835      encoder_proj    Tensor[fc_34.tmp_0]
        shape: [768,128,]
        dtype: f
        LoD: [[ 0,64,128,192,256,320,384,448,512,576,640,704,768, ]]
        data: 0.00266408,-0.048337,-0.0366806,0.00265633,0.0432429,0.0254773,-0.00408232,-0.0223291,-0.0024811,-0.0433478,
1547634835      context Tensor[sequence_pool_1.tmp_0]
        shape: [12,256,]
        dtype: f
        data: 0.00655919,0.000162716,0,0.00365045,0.025687,0,0.0030535,0.0152447,0,0.00135731,
1547634835      pre_ids Tensor[array_read_0.tmp_0]
        shape: [1,1,]
        dtype: l
        LoD: [[ 0,12, ][ 0,0,0,0,0,0,0,0,0,0,1,1,1, ]]
        data: 92,
1547634835      pre_state       Tensor[array_read_1.tmp_0]
        shape: [12,128,]
        dtype: f
        data: 0.00450501,-0.0319699,-0.045378,0.00643824,-0.0349801,-0.0209818,-0.0276175,0.0185534,0.00094414,-0.0382715,
1547634835      pre_score       Tensor[array_read_2.tmp_0]
        shape: [1,1,]
        dtype: f
        LoD: [[ 0,12, ][ 0,0,0,0,0,0,0,0,0,0,1,1,1, ]]
        data: -3.49071,
1547634835      decoder_state_proj      Tensor[fc_36.tmp_0]
        shape: [12,128,]
        dtype: f
        data: -0.00517603,0.000552245,0.0362263,-0.049663,0.0338876,-0.0053585,0.0601997,-0.0220834,2.80392e-05,0.0360245,
1547634835      encoder_proj    Tensor[fc_34.tmp_0]
        shape: [768,128,]
        dtype: f
        LoD: [[ 0,64,128,192,256,320,384,448,512,576,640,704,768, ]]
        data: 0.00266408,-0.048337,-0.0366806,0.00265633,0.0432429,0.0254773,-0.00408232,-0.0223291,-0.0024811,-0.0433478,
1547634835      context Tensor[sequence_pool_1.tmp_0]
        shape: [12,256,]
        dtype: f
        data: 0.00655934,0.000162699,0,0.00364994,0.0256868,0,0.00305304,0.0152452,0,0.00135741,
1547634835      pre_ids Tensor[array_read_0.tmp_0]
        shape: [1,1,]
        dtype: l
        LoD: [[ 0,1, ][ 0,1, ]]
        data: 87,
1547634835      pre_state       Tensor[array_read_1.tmp_0]
        shape: [1,128,]
        dtype: f
        data: -0.0141358,0.015022,-0.0510009,0.0237546,-0.0339731,0.00935627,-0.0871612,0.0309292,0.0546338,-0.0213654,
1547634835      pre_score       Tensor[array_read_2.tmp_0]
        shape: [1,1,]
        dtype: f
        LoD: [[ 0,1, ][ 0,1, ]]
        data: -7.96483,
1547634835      decoder_state_proj      Tensor[fc_36.tmp_0]
        shape: [1,128,]
        dtype: f
        data: -0.0427243,0.0284236,0.00746911,-0.0142829,0.0307404,-0.0298453,0.0334686,-0.0290551,0.0832574,0.031448,
1547634835      encoder_proj    Tensor[fc_34.tmp_0]
        shape: [768,128,]
        dtype: f
        LoD: [[ 0,64,128,192,256,320,384,448,512,576,640,704,768, ]]
        data: 0.00266408,-0.048337,-0.0366806,0.00265633,0.0432429,0.0254773,-0.00408232,-0.0223291,-0.0024811,-0.0433478,
*** Aborted at 1547634845 (unix time) try "date -d @1547634845" if you are using GNU date ***
PC: @                0x0 (unknown)
*** SIGSEGV (@0x7f164fd73000) received by PID 20438 (TID 0x7f16a4964700) from PID 1339502592; stack trace: ***
    @     0x7f16a411b160 (unknown)
    @     0x7f165b4b1637 paddle::operators::SequenceExpandFunctor<>::operator()()
    @     0x7f165b4b6068 paddle::operators::SequenceExpandKernel<>::Compute()
    @     0x7f165b4b6433 _ZNSt17_Function_handlerIFvRKN6paddle9framework16ExecutionContextEEZNKS1_24OpKernelRegistrarFunctorINS0_8platform8CPUPlaceELb0ELm0EINS0_9operators20SequenceExpandKernelINS7_16CPUDeviceContextEfEENSA_ISB_dEENSA_ISB_iEENSA_ISB_lEEEEclEPKcSI_EUlS4_E_E9_M_invokeERKSt9_Any_dataS4_
    @     0x7f165c1a7c8c paddle::framework::OperatorWithKernel::RunImpl()
    @     0x7f165c1a3dcf paddle::framework::OperatorBase::Run()
    @     0x7f165a9924f3 paddle::framework::Executor::RunPreparedContext()
    @     0x7f165be54b93 paddle::operators::WhileOp::RunImpl()
    @     0x7f165c1a3dcf paddle::framework::OperatorBase::Run()
    @     0x7f165a9924f3 paddle::framework::Executor::RunPreparedContext()
    @     0x7f165a992f20 paddle::framework::Executor::Run()
    @     0x7f165a8a76db _ZZN8pybind1112cpp_function10initializeIZN6paddle6pybindL18pybind11_init_coreERNS_6moduleEEUlRNS2_9framework8ExecutorERKNS6_11ProgramDescEPNS6_5ScopeEibbE64_vIS8_SB_SD_ibbEINS_4nameENS_9is_methodENS_7siblingEEEEvOT_PFT0_DpT1_EDpRKT2_ENUlRNS_6detail13function_callEE1_4_FUNESV_
    @     0x7f165a8e378e pybind11::cpp_function::dispatcher()
    @     0x7f16a443655f PyEval_EvalFrameEx
    @     0x7f16a443886d PyEval_EvalCodeEx
    @     0x7f16a44359fc PyEval_EvalFrameEx
    @     0x7f16a443886d PyEval_EvalCodeEx
    @     0x7f16a44359fc PyEval_EvalFrameEx
    @     0x7f16a443886d PyEval_EvalCodeEx
    @     0x7f16a44389a2 PyEval_EvalCode
    @     0x7f16a4461782 PyRun_FileExFlags
    @     0x7f16a4462af9 PyRun_SimpleFileExFlags
    @     0x7f16a447882d Py_Main
    @     0x7f16a3675bd5 __libc_start_main
    @           0x4007a1 (unknown)
    @                0x0 (unknown)
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标识: paddlepaddle/Paddle#15390
渝ICP备2023009037号

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