设置运行环境:
export set CUDA_VISIBLE_DEVICES="0"
export GFLAG_op_sync=true
运行命令为:
python -m yep -v resnet50.py
运行的配置参数为:
----------- Configuration Arguments -----------
batch_size: 32
data_format: NCHW
data_set: cifar10
device: GPU
infer_only: False
iterations: -1
model: resnet_cifar10
pass_num: 100
skip_batch_num: 5
use_cprof: False
use_fake_data: False
use_nvprof: False
------------------------------------------------
报错信息如下:
Iter: 383, loss: [ 1.42264247], acc: [ 0.4375], pass_acc: [ 0.31225586]
*** Aborted at 1516084034 (unix time) try "date -d @1516084034" if you are using GNU date ***
PC: @ 0x0 (unknown)
*** SIGSEGV (@0x16e5ff00) received by PID 1776 (TID 0x7ff0b4b0c700) from PID 384171776; stack trace: ***
@ 0x7ff0b46eb390 (unknown)
@ 0x7ff0b296e2c4 (unknown)
@ 0x7ff0b296ee06 _ULx86_64_step
@ 0x7ff0b2b8c3c3 (unknown)
@ 0x7ff0b2b8cd0e GetStackTraceWithContext()
@ 0x7ff0b2b89df6 (unknown)
@ 0x7ff0b2b8a94b ProfileHandler::SignalHandler()
@ 0x7ff0b46eb390 (unknown)
@ 0x7ff096c45d60 (unknown)
@ 0x7ff097453131 paddle::operators::SumKernel<>::Compute()
@ 0x7ff09752f320 paddle::framework::OperatorWithKernel::Run()
@ 0x7ff096d51517 paddle::framework::Executor::Run()
@ 0x7ff096cb8093 _ZZN8pybind1112cpp_function10initializeIZNS0_C4IvN6paddle9framework8ExecutorEIRKNS4_11ProgramDescEPNS4_5ScopeEibbEINS_4nameENS_9is_methodENS_7siblingEEEEMT0_FT_DpT1_EDpRKT2_EUlPS5_S8_SA_ibbE_vISO_S8_SA_ibbEISB_SC_SD_EEEvOSF_PFSE_SH_ESN_ENUlRNS_6detail13function_callEE1_4_FUNESV_
@ 0x7ff096cb5ce4 pybind11::cpp_function::dispatcher()
@ 0x4cad00 PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4ca088 PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4ca7df PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4c8684 PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4ca7df PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4c8684 PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4ca088 PyEval_EvalFrameEx
@ 0x4c2705 PyEval_EvalCodeEx
@ 0x4de69e (unknown)
@ 0x4b0c93 PyObject_Call
@ 0x5212cc (unknown)
@ 0x49e246 Py_Main
Segmentation fault
设置运行环境:
运行命令为:
运行的配置参数为:
报错信息如下: