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torch.jit.trace报错的问题 已完结 blacksun2021-09-26 17:23:59 回复 5 查看 技术答疑 使用求助 经验交流
torch.jit.trace报错的问题
分享到:

在进行mlu的逐层运行没问题以后,尝试使用jit.trace来生成融合模型。但是一运行到

model = torch.jit.trace(model, test_input.to(ct.mlu_device()), check_trace = False)

这一行代码,控制台就会频繁输出[WARNING][/workspace/volume/private/sdk/cambricon_pytorch/pytorch/src/catch/torch_mlu/csrc/aten/core/tensor_impl.cpp][line:779][raw_mutable_data][thread:140622882944768][process:161047]:
cast INT64 data into INT32 data on cpu.
再接着输出如下内容并生成coredump文件
求教到底是哪出了问题?输入tensor的shape我已经核实过了没错,位置也核实过了是在mlu中。
*** Error in `python': corrupted double- ed list: 0x000000001df518a0 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777f5)[0x7fe54fa887f5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8298b)[0x7fe54fa9398b]
/lib/x86_64-linux-gnu/libc.so.6(__libc_malloc+0x54)[0x7fe54fa951d4]
/usr/lib/x86_64-linux-gnu/libstdc++.so.6(_Znwm+0x18)[0x7fe545c1ee78]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZNSt20__uninitialized_copyILb0EE13__uninit_copyIPKSt6vectorIN4sopa9partition5RangeESaIS5_EEPS7_EET0_T_SC_SB_+0x75)[0x7fe400a00425]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa9partition10GlueOpNode14glueForwardC20ILNS1_4TypeE0EEEvRKNS0_7ContextERKNS0_10CmdMessageE+0x24a2)[0x7fe400a03ab2]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa9partition10GlueOpNode7forwardERKNS0_7ContextERKNS0_10CmdMessageE11CoreVersion+0x8e)[0x7fe4009fde8e]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa9partition6OpNode14forwardWrapperERKNS0_7ContextERKNS0_10CmdMessageE11CoreVersion+0x2a)[0x7fe4009fe1aa]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(+0xd2f9e5)[0x7fe400ad09e5]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa9partition5Graph8traverseESt8functionIFPNS0_6OpNodeES4_EE+0x6cc)[0x7fe400a0cb3c]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa9partition7Planner13planPartitionERNS0_5GraphENS0_7ContextEPNS0_4PerfENS0_8StrategyE11CoreVersion+0x43e)[0x7fe400ad79de]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa3MLU9Processor9partitionESt10shared_ptrINS0_9OperationEE+0x202)[0x7fe40030a272]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa3MLU9Processor12do_partitionESt10shared_ptrINS0_9OperationEE+0xdc)[0x7fe40030a68c]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_ZN4sopa3MLU9Processor14compileForwardESt10shared_ptrINS0_9OperationEE11CoreVersionib+0xe82)[0x7fe400321b92]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(_Z25cnpapi__cnmlCompile OpP10cnml Op17cnmlCoreVersion_ti+0x61)[0x7fe400cab001]
/workspace/volume/private/sdk/cambricon_pytorch/neuware/lib64/libcnml.so(cnmlCompile Op+0x68)[0x7fe400cab358]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/csrc/lib/libaten_mlu.so(_ZN9torch_mlu4cnml3ops26cnml_generic_conv_internalERKN2at6TensorES5_S5_N3c104ListIlEES8_S8_lSt6vectorIfSaIfEEi+0x2d7b)[0x7fe3feb5361b]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/csrc/lib/libaten_mlu.so(_ZN9torch_mlu4cnml3ops11cnml_conv2dERKN2at6TensorES5_S5_N3c104ListIlEES8_S8_lS5_S5_+0x1d53)[0x7fe3feabed63]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/csrc/lib/libaten_mlu.so(_ZN9torch_mlu7CnmlOps6conv2dERKN2at6TensorES4_S4_N3c104ListIlEES7_S7_lS4_S4_+0x12b)[0x7fe3fed22afb]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/csrc/lib/libaten_mlu.so(_ZN9torch_mlu17AtenMluCustomType6conv2dERKN2at6TensorES4_S4_N3c104ListIlEES7_S7_lS4_S4_+0x107)[0x7fe3fea32b47]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/csrc/lib/libcatch_python.so(_ZN3c106detail34call_functor_with_args_from_stack_INS0_19WrapKernelFunction_IFN2at6TensorERKS4_S6_S6_NS_4ListIlEES8_S8_lS6_S6_EXadL_ZN9torch_mlu17AtenMluCustomType6conv2dES6_S6_S6_S8_S8_S8_lS6_S6_EES4_NS_4guts8typelist8typelistIJS6_S6_S6_S8_S8_S8_lS6_S6_EEEEELb0EJLm0ELm1ELm2ELm3ELm4ELm5ELm6ELm7ELm8EEEENSC_23infer_function_traits_t11return_typeEPT_PSt6vectorINS_6IValueESaISM_EENSC_16integer_sequenceImJXspT1_EEEE+0x19c)[0x7fe40352affc]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch_mlu/csrc/lib/libcatch_python.so(_ZN3c106detail25wrap_kernel_functor_boxedINS0_19WrapKernelFunction_IFN2at6TensorERKS4_S6_S6_NS_4ListIlEES8_S8_lS6_S6_EXadL_ZN9torch_mlu17AtenMluCustomType6conv2dES6_S6_S6_S8_S8_S8_lS6_S6_EES4_NS_4guts8typelist8typelistIIS6_S6_S6_S8_S8_S8_lS6_S6_EEEEELb0EvE4callEPNS_14OperatorKernelEPSt6vectorINS_6IValueESaISL_EE+0x30)[0x7fe40352b180]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/lib/libtorch.so(+0x226b3c8)[0x7fe4a69273c8]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/lib/libtorch.so(+0x2e5b910)[0x7fe4a7517910]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/lib/libtorch_python.so(+0x4c5c2d)[0x7fe54b11fc2d]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/lib/libtorch_python.so(+0x493ca5)[0x7fe54b0edca5]
/workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/torch/lib/libtorch_python.so(+0x1ece10)[0x7fe54ae46e10]
python(_PyCFunction_FastCallKeywords+0x407)[0x43fdd7]
python(_PyEval_Eval Default+0x6b06)[0x42c246]
python[0x4245b8]
python(_PyFunction_FastCallDict+0x2ae)[0x43f15e]
python(_Py _Call_Prepend+0x259)[0x4422f9]
python(Py _Call+0x70)[0x440680]
python(_PyEval_Eval Default+0x3bb1)[0x4292f1]
python(_PyEval_EvalCodeWithName+0xa48)[0x4ede88]
python(_PyFunction_FastCallDict+0xc9)[0x43ef79]
python(_Py _Call_Prepend+0x259)[0x4422f9]
python(Py _Call+0x70)[0x440680]
python(_PyEval_Eval Default+0x3bb1)[0x4292f1]
python(_PyEval_EvalCodeWithName+0xa48)[0x4ede88]
python(_PyFunction_FastCallDict+0xc9)[0x43ef79]
python(_Py _Call_Prepend+0x259)[0x4422f9]
python[0x497681]
python(_Py _FastCallKeywords+0x141)[0x43f831]
python(_PyEval_Eval Default+0x4f2e)[0x42a66e]
python[0x4245b8]
python(_PyFunction_FastCallDict+0x2ae)[0x43f15e]
python(_Py _Call_Prepend+0x259)[0x4422f9]
python(Py _Call+0x70)[0x440680]
python(_PyEval_Eval Default+0x3bb1)[0x4292f1]
python(_PyEval_EvalCodeWithName+0xa48)[0x4ede88]
python(_PyFunction_FastCallDict+0xc9)[0x43ef79]
python(_Py _Call_Prepend+0x259)[0x4422f9]
python(Py _Call+0x70)[0x440680]
python(_PyEval_Eval Default+0x3bb1)[0x4292f1]
python(_PyEval_EvalCodeWithName+0xa48)[0x4ede88]
python(_PyFunction_FastCallDict+0xc9)[0x43ef79]
python(_Py _Call_Prepend+0x259)[0x4422f9]
python[0x497681]
python(_Py _FastCallKeywords+0x141)[0x43f831]
python(_PyEval_Eval Default+0xc07)[0x426347]
python[0x4245b8]
python(_PyFunction_FastCallDict+0x2ae)[0x43f15e]
======= Memory map: ========
00400000-006b2000 r-xp 00000000 08:10 92406760                           /usr/local/bin/python3.7
008b1000-008b2000 r--p 002b1000 08:10 92406760                           /usr/local/bin/python3.7
008b2000-00925000 rw-p 002b2000 08:10 92406760                           /usr/local/bin/python3.7
00925000-00946000 rw-p 00000000 00:00 0
027f0000-1e2e0000 rw-p 00000000 00:00 0                                  [heap]
7fe2c0000000-7fe2c0861000 rw-p 00000000 00:00 0
7fe2c0861000-7fe2c4000000 ---p 00000000 00:00 0
7fe2c8000000-7fe2c812b000 rw-p 00000000 00:00 0
7fe2c812b000-7fe2cc000000 ---p 00000000 00:00 0
7fe2d0000000-7fe2d018c000 rw-p 00000000 00:00 0
7fe2d018c000-7fe2d4000000 ---p 00000000 00:00 0
7fe2d5bda000-7fe2dc000000 rw-p 00000000 00:00 0
7fe2dc000000-7fe2dc021000 rw-p 00000000 00:00 0
7fe2dc021000-7fe2e0000000 ---p 00000000 00:00 0
7fe2e0000000-7fe2e1ed3000 rw-p 00000000 00:00 0
7fe2e1ed3000-7fe2e4000000 ---p 00000000 00:00 0
7fe2e4000000-7fe2e4021000 rw-p 00000000 00:00 0
7fe2e4021000-7fe2e8000000 ---p 00000000 00:00 0
7fe2e8000000-7fe2e8021000 rw-p 00000000 00:00 0
7fe2e8021000-7fe2ec000000 ---p 00000000 00:00 0
7fe2ec000000-7fe2ec021000 rw-p 00000000 00:00 0
7fe2ec021000-7fe2f0000000 ---p 00000000 00:00 0
7fe2f0000000-7fe2f0021000 rw-p 00000000 00:00 0
7fe2f0021000-7fe2f4000000 ---p 00000000 00:00 0
7fe2f4000000-7fe2f4021000 rw-p 00000000 00:00 0
7fe2f4021000-7fe2f8000000 ---p 00000000 00:00 0
7fe2f8000000-7fe2f8021000 rw-p 00000000 00:00 0
7fe2f8021000-7fe2fc000000 ---p 00000000 00:00 0
7fe2fc000000-7fe2fc021000 rw-p 00000000 00:00 0
7fe2fc021000-7fe300000000 ---p 00000000 00:00 0
7fe300000000-7fe300021000 rw-p 00000000 00:00 0
7fe300021000-7fe304000000 ---p 00000000 00:00 0
7fe304000000-7fe304021000 rw-p 00000000 00:00 0
7fe304021000-7fe308000000 ---p 00000000 00:00 0
7fe308000000-7fe308021000 rw-p 00000000 00:00 0
7fe308021000-7fe30c000000 ---p 00000000 00:00 0
7fe30c000000-7fe30c021000 rw-p 00000000 00:00 0
7fe30c021000-7fe310000000 ---p 00000000 00:00 0
7fe310acf000-7fe315751000 rw-p 00000000 00:00 0
7fe318bd0000-7fe318bd1000 ---p 00000000 00:00 0
7fe318bd1000-7fe3193d1000 rwxp 00000000 00:00 0
7fe3193d1000-7fe3193d2000 ---p 00000000 00:00 0
7fe3193d2000-7fe319bd2000 rwxp 00000000 00:00 0
7fe319bd2000-7fe319bd3000 ---p 00000000 00:00 0
7fe319bd3000-7fe31a3d3000 rwxp 00000000 00:00 0
7fe31a3d3000-7fe31ba54000 rw-p 00000000 00:00 0
7fe31bad0000-7fe31bad1000 ---p 00000000 00:00 0
7fe31bad1000-7fe31c2d1000 rwxp 00000000 00:00 0
7fe31c2d1000-7fe31c2d2000 ---p 00000000 00:00 0
7fe31c2d2000-7fe31cad2000 rwxp 00000000 00:00 0                          [stack:161255]
7fe31cad2000-7fe31cad3000 ---p 00000000 00:00 0
7fe31cad3000-7fe31d2d3000 rwxp 00000000 00:00 0                          [stack:161254]
7fe31d2d3000-7fe31d2d4000 ---p 00000000 00:00 0
7fe31d2d4000-7fe31dad4000 rwxp 00000000 00:00 0                          [stack:161253]
7fe31dad4000-7fe31dad5000 ---p 00000000 00:00 0
7fe31dad5000-7fe31e2d5000 rwxp 00000000 00:00 0                          [stack:161252]
7fe31e2d5000-7fe31e2d6000 ---p 00000000 00:00 0
7fe31e2d6000-7fe31ead6000 rwxp 00000000 00:00 0                          [stack:161234]
7fe31ead6000-7fe31ead7000 ---p 00000000 00:00 0
7fe31ead7000-7fe31f2d7000 rwxp 00000000 00:00 0                          [stack:161233]
7fe31f2d7000-7fe31f2d8000 ---p 00000000 00:00 0
7fe31f2d8000-7fe31fad8000 rwxp 00000000 00:00 0                          [stack:161232]
7fe31fad8000-7fe31fad9000 ---p 00000000 00:00 0
7fe31fad9000-7fe3202d9000 rwxp 00000000 00:00 0                          [stack:161231]
7fe3202d9000-7fe3202da000 ---p 00000000 00:00 0
7fe3202da000-7fe320ada000 rwxp 00000000 00:00 0                          [stack:161230]
7fe320ada000-7fe320adb000 ---p 00000000 00:00 0
7fe320adb000-7fe3212db000 rwxp 00000000 00:00 0                          [stack:161229]
7fe3212db000-7fe3212dc000 ---p 00000000 00:00 0
7fe3212dc000-7fe321adc000 rwxp 00000000 00:00 0                          [stack:161228]
7fe321adc000-7fe321add000 ---p 00000000 00:00 0
7fe321add000-7fe3222dd000 rwxp 00000000 00:00 0                          [stack:161227]
7fe3222dd000-7fe3222de000 ---p 00000000 00:00 0
7fe3222de000-7fe322ade000 rwxp 00000000 00:00 0                          [stack:161226]
7fe322ade000-7fe322adf000 ---p 00000000 00:00 0
7fe322adf000-7fe3232df000 rwxp 00000000 00:00 0                          [stack:161225]
7fe3232df000-7fe3232e0000 ---p 00000000 00:00 0
7fe3232e0000-7fe323ae0000 rwxp 00000000 00:00 0                          [stack:161224]
7fe323ae0000-7fe323ae1000 ---p 00000000 00:00 0
7fe323ae1000-7fe3242e1000 rwxp 00000000 00:00 0                          [stack:161223]
7fe3242e1000-7fe3242e2000 ---p 00000000 00:00 0
7fe3242e2000-7fe324ae2000 rwxp 00000000 00:00 0                          [stack:161222]
7fe324ae2000-7fe324ae3000 ---p 00000000 00:00 0
7fe324ae3000-7fe3252e3000 rwxp 00000000 00:00 0                          [stack:161221]
7fe3252e3000-7fe3252e4000 ---p 00000000 00:00 0
7fe3252e4000-7fe325ae4000 rwxp 00000000 00:00 0                          [stack:161220]
7fe325ae4000-7fe325ae5000 ---p 00000000 00:00 0
7fe325ae5000-7fe3262e5000 rwxp 00000000 00:00 0                          [stack:161219]
7fe3262e5000-7fe3262e6000 ---p 00000000 00:00 0
7fe3262e6000-7fe326ae6000 rwxp 00000000 00:00 0                          [stack:161218]
7fe326ae6000-7fe326ae7000 ---p 00000000 00:00 0
7fe326ae7000-7fe3272e7000 rwxp 00000000 00:00 0                          [stack:161217]
7fe3272e7000-7fe3272e8000 ---p 00000000 00:00 0
7fe3272e8000-7fe327ae8000 rwxp 00000000 00:00 0                          [stack:161216]
7fe327ae8000-7fe327ae9000 ---p 00000000 00:00 0
7fe327ae9000-7fe3282e9000 rwxp 00000000 00:00 0                          [stack:161215]
7fe3282e9000-7fe3282ea000 ---p 00000000 00:00 0
7fe3282ea000-7fe328aea000 rwxp 00000000 00:00 0                          [stack:161214]
7fe328aea000-7fe328aeb000 ---p 00000000 00:00 0
7fe328aeb000-7fe3292eb000 rwxp 00000000 00:00 0                          [stack:161213]
7fe3292eb000-7fe3292ec000 ---p 00000000 00:00 0
7fe3292ec000-7fe329aec000 rwxp 00000000 00:00 0                          [stack:161212]
7fe329aec000-7fe329aed000 ---p 00000000 00:00 0
7fe329aed000-7fe32a2ed000 rwxp 00000000 00:00 0                          [stack:161211]
7fe32a2ed000-7fe32a2ee000 ---p 00000000 00:00 0
7fe32a2ee000-7fe32aaee000 rwxp 00000000 00:00 0                          [stack:161210]
7fe32aaee000-7fe32aaef000 ---p 00000000 00:00 0
7fe32aaef000-7fe32b2ef000 rwxp 00000000 00:00 0                          [stack:161209]
7fe32b2ef000-7fe32b2f0000 ---p 00000000 00:00 0
7fe32b2f0000-7fe32baf0000 rwxp 00000000 00:00 0                          [stack:161208]
7fe32baf0000-7fe32baf1000 ---p 00000000 00:00 0
7fe32baf1000-7fe32c2f1000 rwxp 00000000 00:00 0                          [stack:161207]
7fe32c2f1000-7fe32c2f2000 ---p 00000000 00:00 0
7fe32c2f2000-7fe32caf2000 rwxp 00000000 00:00 0                          [stack:161206]
7fe32caf2000-7fe32caf3000 ---p 00000000 00:00 0
7fe32caf3000-7fe32d2f3000 rwxp 00000000 00:00 0                          [stack:161205]
7fe32d2f3000-7fe32d2f4000 ---p 00000000 00:00 0
7fe32d2f4000-7fe32daf4000 rwxp 00000000 00:00 0                          [stack:161204]
7fe32daf4000-7fe32daf5000 ---p 00000000 00:00 0
7fe32daf5000-7fe32e2f5000 rwxp 00000000 00:00 0                          [stack:161203]
7fe32e2f5000-7fe32e2f6000 ---p 00000000 00:00 0
7fe32e2f6000-7fe32eaf6000 rwxp 00000000 00:00 0                          [stack:161202]
7fe32eaf6000-7fe32eaf7000 ---p 00000000 00:00 0
7fe32eaf7000-7fe32f2f7000 rwxp 00000000 00:00 0                          [stack:161201]
7fe32f2f7000-7fe32f2f8000 ---p 00000000 00:00 0
7fe32f2f8000-7fe32faf8000 rwxp 00000000 00:00 0                          [stack:161200]
7fe32faf8000-7fe32faf9000 ---p 00000000 00:00 0
7fe32faf9000-7fe3302f9000 rwxp 00000000 00:00 0                          [stack:161199]
7fe3302f9000-7fe3302fa000 ---p 00000000 00:00 0
7fe3302fa000-7fe330afa000 rwxp 00000000 00:00 0                          [stack:161198]
7fe330afa000-7fe330afb000 ---p 00000000 00:00 0
7fe330afb000-7fe3312fb000 rwxp 00000000 00:00 0                          [stack:161197]
7fe3312fb000-7fe3312fc000 ---p 00000000 00:00 0
7fe3312fc000-7fe331afc000 rwxp 00000000 00:00 0                          [stack:161196]
7fe331afc000-7fe331afd000 ---p 00000000 00:00 0
7fe331afd000-7fe3322fd000 rwxp 00000000 00:00 0                          [stack:161195]
7fe3322fd000-7fe3322fe000 ---p 00000000 00:00 0
7fe3322fe000-7fe332afe000 rwxp 00000000 00:00 0                          [stack:161194]
7fe332afe000-7fe332aff000 ---p 00000000 00:00 0
7fe332aff000-7fe3332ff000 rwxp 00000000 00:00 0                          [stack:161193]
7fe3332ff000-7fe333300000 ---p 00000000 00:00 0
7fe333300000-7fe333b00000 rwxp 00000000 00:00 0                          [stack:161192]
7fe333b00000-7fe333b01000 ---p 00000000 00:00 0
7fe333b01000-7fe334301000 rwxp 00000000 00:00 0                          [stack:161191]
7fe334301000-7fe334302000 ---p 00000000 00:00 0
7fe334302000-7fe334b02000 rwxp 00000000 00:00 0                          [stack:161190]
7fe334b02000-7fe334b03000 ---p 00000000 00:00 0
7fe334b03000-7fe335303000 rwxp 00000000 00:00 0                          [stack:161189]
7fe335303000-7fe335304000 ---p 00000000 00:00 0
7fe335304000-7fe335b04000 rwxp 00000000 00:00 0                          [stack:161188]
7fe335e5c000-7fe335e5d000 ---p 00000000 00:00 0
7fe335e5d000-7fe33665d000 rwxp 00000000 00:00 0                          [stack:161251]
7fe33665d000-7fe33665e000 ---p 00000000 00:00 0
7fe33665e000-7fe336e5e000 rwxp 00000000 00:00 0                          [stack:161250]
7fe336e5e000-7fe336e5f000 ---p 00000000 00:00 0
7fe336e5f000-7fe33765f000 rwxp 00000000 00:00 0                          [stack:161249]
7fe33765f000-7fe339f20000 rw-p 00000000 00:00 0
7fe33a5e7000-7fe33a5e8000 ---p 00000000 00:00 0
7fe33a5e8000-7fe33ade8000 rwxp 00000000 00:00 0                          [stack:161248]
7fe33ade8000-7fe33af28000 rw-p 00000000 00:00 0
7fe33b6f9000-7fe33b739000 rw-p 00000000 00:00 0
7fe33bd46000-7fe33bd47000 ---p 00000000 00:00 0
7fe33bd47000-7fe33c547000 rwxp 00000000 00:00 0                          [stack:161247]
7fe33c547000-7fe33c548000 ---p 00000000 00:00 0
7fe33c548000-7fe33cd48000 rwxp 00000000 00:00 0                          [stack:161246]
7fe33cd48000-7fe33cd49000 ---p 00000000 00:00 0
7fe33cd49000-7fe33d549000 rwxp 00000000 00:00 0                          [stack:161245]
7fe33d549000-7fe33d54a000 ---p 00000000 00:00 0
7fe33d54a000-7fe33dd4a000 rwxp 00000000 00:00 0                          [stack:161244]
7fe33dd4a000-7fe34018b000 rw-p 00000000 00:00 0
7fe3402cc000-7fe34054c000 rw-p 00000000 00:00 0
7fe34054c000-7fe340572000 r-xp 00000000 00:136 4398083602030             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/segmentation/_watershed_cy.cpython-37m-x86_64-linux-gnu.so
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7fe3409ac000-7fe3409e8000 r-xp 00000000 00:136 4398083602023             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/segmentation/_slic.cpython-37m-x86_64-linux-gnu.so
7fe3409e8000-7fe340be8000 ---p 0003c000 00:136 4398083602023             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/segmentation/_slic.cpython-37m-x86_64-linux-gnu.so
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7fe340bed000-7fe340bee000 rw-p 00000000 00:00 0
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7fe340bf1000-7fe340c36000 r-xp 00000000 00:136 4398083605224             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/scipy/cluster/_optimal_leaf_ordering.cpython-37m-x86_64-linux-gnu.so
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7fe341090000-7fe3410a5000 r-xp 00000000 00:136 4398083605237             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/scipy/cluster/_vq.cpython-37m-x86_64-linux-gnu.so
7fe3410a5000-7fe3412a5000 ---p 00015000 00:136 4398083605237             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/scipy/cluster/_vq.cpython-37m-x86_64-linux-gnu.so
7fe3412a5000-7fe3412aa000 rw-p 00015000 00:136 4398083605237             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/scipy/cluster/_vq.cpython-37m-x86_64-linux-gnu.so
7fe3412aa000-7fe3412c8000 r-xp 00000000 00:136 4398083602028             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/segmentation/_felzenszwalb_cy.cpython-37m-x86_64-linux-gnu.so
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7fe3414c8000-7fe3414ca000 rw-p 0001e000 00:136 4398083602028             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/segmentation/_felzenszwalb_cy.cpython-37m-x86_64-linux-gnu.so
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7fe341759000-7fe3417cc000 r-xp 00000000 00:136 4398083602412             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/percentile_cy.cpython-37m-x86_64-linux-gnu.so
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7fe3419d5000-7fe341a16000 r-xp 00000000 00:136 4398083602409             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/core_cy_3d.cpython-37m-x86_64-linux-gnu.so
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7fe341c19000-7fe341c1a000 rw-p 00000000 00:00 0
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7fe341c1d000-7fe341c90000 r-xp 00000000 00:136 4398083602402             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/core_cy.cpython-37m-x86_64-linux-gnu.so
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7fe341e8f000-7fe341e92000 rw-p 00072000 00:136 4398083602402             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/core_cy.cpython-37m-x86_64-linux-gnu.so
7fe341e92000-7fe341e94000 rw-p 00000000 00:00 0
7fe341e94000-7fe341e97000 rw-p 00258000 00:136 4398083602402             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/core_cy.cpython-37m-x86_64-linux-gnu.so
7fe341e97000-7fe341fdd000 r-xp 00000000 00:136 4398083602414             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/generic_cy.cpython-37m-x86_64-linux-gnu.so
7fe341fdd000-7fe3421dc000 ---p 00146000 00:136 4398083602414             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/generic_cy.cpython-37m-x86_64-linux-gnu.so
7fe3421dc000-7fe3421e8000 rw-p 00145000 00:136 4398083602414             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/generic_cy.cpython-37m-x86_64-linux-gnu.so
7fe3421e8000-7fe3421e9000 rw-p 00000000 00:00 0
7fe3421e9000-7fe3421ec000 rw-p 00688000 00:136 4398083602414             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/filters/rank/generic_cy.cpython-37m-x86_64-linux-gnu.so
7fe3421ec000-7fe342245000 r-xp 00000000 00:136 4398083601987             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/feature/_haar.cpython-37m-x86_64-linux-gnu.so
7fe342245000-7fe342444000 ---p 00059000 00:136 4398083601987             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/feature/_haar.cpython-37m-x86_64-linux-gnu.so
7fe342444000-7fe34244a000 rw-p 00058000 00:136 4398083601987             /workspace/volume/private/sdk/venv/pytorch/lib/python3.7/site-packages/skimage/feature/_haar.cpython-37m-x86_64-linux-gnu.so
7fe34244a000-7fe34244b000 rw-p 00000000 00:00 0
7fe34244b000-7fe34244f000 rw-p 00271000 00:136 4398083601987             /workspace/volume/private/sdk/venv/pytorch/lib/Aborted (core dumped)

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