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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2020/09/21 06:58:13 UTC

[GitHub] [incubator-tvm] ljs19981117 opened a new issue #6520: Question:Errors when ran the tutorials of raspberry pi

ljs19981117 opened a new issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520


   When I ran the raspberry pi tutorial(https://tvm.apache.org/docs/tutorials/frontend/deploy_model_on_rasp.html).I got the errors below.I am new to AI,and I really don't know how to fix it.Please help me.
   
   
   
   RPCError: Traceback (most recent call last):
     [bt] (8) /home/ljs/tvm/build/libtvm.so(std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), tvm::runtime::RPCModuleNode::WrapRemoteFunc(void*)::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)+0x33) [0x7fd651d0e2f3]
     [bt] (7) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCWrappedFunc::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const+0x3c5) [0x7fd651d0dd55]
     [bt] (6) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCClientSession::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)> const&)+0x57) [0x7fd651cfe9b7]
     [bt] (5) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)>)+0x215) [0x7fd651cf6415]
     [bt] (4) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::HandleUntilReturnEvent(bool, std::function<void (tvm::runtime::TVMArgs)>)+0x1ab) [0x7fd651cf518b]
     [bt] (3) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::EventHandler::HandleNextEvent(bool, bool, std::function<void (tvm::runtime::TVMArgs)>)+0xd7) [0x7fd651cfe6a7]
     [bt] (2) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::EventHandler::HandleProcessPacket(std::function<void (tvm::runtime::TVMArgs)>)+0x126) [0x7fd651cfe486]
     [bt] (1) /home/ljs/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::EventHandler::HandleReturn(tvm::runtime::RPCCode, std::function<void (tvm::runtime::TVMArgs)>)+0x13f) [0x7fd651cfd95f]
     [bt] (0) /home/ljs/tvm/build/libtvm.so(+0x18ef442) [0x7fd651cf3442]
     [bt] (8) /home/ubuntu/tvm/build/libtvm.so(+0x103b100) [0xffff91e9d100]
     [bt] (7) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::RPCServerLoop(int)+0xac) [0xffff91e9c7b4]
     [bt] (6) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::ServerLoop()+0xe8) [0xffff91e800c8]
     [bt] (5) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::HandleUntilReturnEvent(bool, std::function<void (tvm::runtime::TVMArgs)>)+0x258) [0xffff91e7fb40]
     [bt] (4) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::EventHandler::HandleNextEvent(bool, bool, std::function<void (tvm::runtime::TVMArgs)>)+0x1e4) [0xffff91e88184]
     [bt] (3) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::RPCEndpoint::EventHandler::HandleProcessPacket(std::function<void (tvm::runtime::TVMArgs)>)+0x168) [0xffff91e87ea0]
     [bt] (2) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::RPCSession::AsyncCallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::RPCCode, tvm::runtime::TVMArgs)>)+0x58) [0xffff91e9b368]
     [bt] (1) /home/ubuntu/tvm/build/libtvm.so(tvm::runtime::LocalSession::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)> const&)+0x74) [0xffff91e8e9c4]
     [bt] (0) /home/ubuntu/tvm/build/libtvm.so(+0xfbf140) [0xffff91e21140]
     File "/home/ubuntu/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
       rv = local_pyfunc(*pyargs)
     File "/home/ubuntu/tvm/python/tvm/rpc/server.py", line 69, in load_module
       m = _load_module(path)
     File "/home/ubuntu/tvm/python/tvm/runtime/module.py", line 411, in load_module
       _cc.create_shared(path + ".so", files)
     File "/home/ubuntu/tvm/python/tvm/contrib/cc.py", line 43, in create_shared
       _linux_compile(output, objects, options, cc, compile_shared=True)
     File "/home/ubuntu/tvm/python/tvm/contrib/cc.py", line 205, in _linux_compile
       raise RuntimeError(msg)
     File "/home/ljs/tvm/src/runtime/rpc/rpc_endpoint.cc", line 370
   RPCError: Error caught from RPC call:
   RuntimeError: Compilation error:
   /tmp/tmp8ci2y3co/net/lib0.o: error adding symbols: File in wrong format
   collect2: error: ld returned 1 exit status
   
   Command line: g++ -shared -fPIC -o /tmp/tmp8ci2y3co/net.tar.so /tmp/tmp8ci2y3co/net/lib0.o /tmp/tmp8ci2y3co/net/devc.o


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[GitHub] [incubator-tvm] FrozenGene closed issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
FrozenGene closed issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520


   


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[GitHub] [incubator-tvm] FrozenGene closed issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
FrozenGene closed issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520


   


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[GitHub] [incubator-tvm] ljs19981117 edited a comment on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
ljs19981117 edited a comment on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696475926


   
   Thanks for your reminding.I will ask in the disscuss.tvm.
   I make the target to rasp3b,but got this:
   
   
   > "-target" is deprecated, use "-mtriple" instead.
   >  Cannot find config for target=llvm -keys=arm_cpu,cpu -device=arm_cpu -mattr=+neon -model=bcm2837 -mtriple=armv7l-linux-gnueabihf, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
   
   Is the API update ?
   
   
   


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[GitHub] [incubator-tvm] ljs19981117 commented on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
ljs19981117 commented on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696475926


   > Please consider opening new thread in https://discuss.tvm.apache.org/, we use this forum to solve this kind of question. Your question should be related with the target and compiler (g++) doesn't match. For example, target is x86 but compiler (g++) is arm.
   Thanks for your reminding.I will ask in the disscuss.tvm.
   I make the target to rasp3b,but got this:
   ```
   > "-target" is deprecated, use "-mtriple" instead.
   > Cannot find config for target=llvm -keys=arm_cpu,cpu -device=arm_cpu -mattr=+neon -model=bcm2837 -mtriple=armv7l-linux-gnueabihf, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
   ```
   Is the API update ?
   
   
   


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[GitHub] [incubator-tvm] ljs19981117 edited a comment on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
ljs19981117 edited a comment on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696475926


   
   Thanks for your reminding.I will ask in the disscuss.tvm.
   I make the target to rasp3b,but got this:
   
   
   > "-target" is deprecated, use "-mtriple" instead.
   >  Cannot find config for target=llvm -keys=arm_cpu,cpu -device=arm_cpu -mattr=+neon -model=bcm2837 -mtriple=armv7l-linux-gnueabihf, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
   
   Is the API update ?
   
   
   


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[GitHub] [incubator-tvm] FrozenGene commented on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
FrozenGene commented on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696017067


   Please consider opening new thread in https://discuss.tvm.apache.org/, we use this forum to solve this kind of question. Your question should be related with the target and compiler (g++) doesn't match. For example, target is x86 but compiler (g++) is arm.


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[GitHub] [incubator-tvm] ljs19981117 commented on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
ljs19981117 commented on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696475926


   > Please consider opening new thread in https://discuss.tvm.apache.org/, we use this forum to solve this kind of question. Your question should be related with the target and compiler (g++) doesn't match. For example, target is x86 but compiler (g++) is arm.
   Thanks for your reminding.I will ask in the disscuss.tvm.
   I make the target to rasp3b,but got this:
   ```
   > "-target" is deprecated, use "-mtriple" instead.
   > Cannot find config for target=llvm -keys=arm_cpu,cpu -device=arm_cpu -mattr=+neon -model=bcm2837 -mtriple=armv7l-linux-gnueabihf, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
   ```
   Is the API update ?
   
   
   


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[GitHub] [incubator-tvm] FrozenGene commented on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
FrozenGene commented on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696017067


   Please consider opening new thread in https://discuss.tvm.apache.org/, we use this forum to solve this kind of question. Your question should be related with the target and compiler (g++) doesn't match. For example, target is x86 but compiler (g++) is arm.


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[GitHub] [incubator-tvm] ljs19981117 commented on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
ljs19981117 commented on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696475926


   > Please consider opening new thread in https://discuss.tvm.apache.org/, we use this forum to solve this kind of question. Your question should be related with the target and compiler (g++) doesn't match. For example, target is x86 but compiler (g++) is arm.
   Thanks for your reminding.I will ask in the disscuss.tvm.
   I make the target to rasp3b,but got this:
   ```
   > "-target" is deprecated, use "-mtriple" instead.
   > Cannot find config for target=llvm -keys=arm_cpu,cpu -device=arm_cpu -mattr=+neon -model=bcm2837 -mtriple=armv7l-linux-gnueabihf, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
   ```
   Is the API update ?
   
   
   


----------------------------------------------------------------
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[GitHub] [incubator-tvm] ljs19981117 edited a comment on issue #6520: Question:Errors when ran the tutorials of raspberry pi

Posted by GitBox <gi...@apache.org>.
ljs19981117 edited a comment on issue #6520:
URL: https://github.com/apache/incubator-tvm/issues/6520#issuecomment-696475926


   
   Thanks for your reminding.I will ask in the disscuss.tvm.
   I make the target to rasp3b,but got this:
   
   
   > "-target" is deprecated, use "-mtriple" instead.
   >  Cannot find config for target=llvm -keys=arm_cpu,cpu -device=arm_cpu -mattr=+neon -model=bcm2837 -mtriple=armv7l-linux-gnueabihf, workload=('dense_nopack.x86', ('TENSOR', (1, 512), 'float32'), ('TENSOR', (1000, 512), 'float32'), None, 'float32'). A fallback configuration is used, which may bring great performance regression.
   
   Is the API update ?
   
   
   


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