[GitHub] wenyangchu opened a new issue #11339: compiling error when USE_CUDA=1 and USE_CUDNN=0 with make command

[GitBox <gi...@apache.org>]

wenyangchu opened a new issue #11339: compiling error when USE_CUDA=1  and USE_CUDNN=0 with make command
URL: https://github.com/apache/incubator-mxnet/issues/11339
 
 
   ## Description
   compiling error when USE_CUDA=1  and USE_CUDNN=0 with make command
   
   ## Environment info (Required)
   ```
   Ubuntu 16.04 
   
   ```
   ## Build info (Required if built from source)
   Compiler g++/gcc (Ubuntu 5.4.0-6ubuntu1~16.04.5) 5.4.0 20160609
   
   ## Error Message:
   src/operator/nn/convolution.cu(93): error: identifier "param_" is undefined
   src/operator/nn/convolution.cu(171): error: identifier "param_" is undefined
   
   and fix it in the code, get more errors:
   
   build/src/engine/naive_engine.o: In function `mxnet::engine::NaiveEngine::~NaiveEngine()':
   naive_engine.cc:(.text._ZN5mxnet6engine11NaiveEngineD2Ev[_ZN5mxnet6engine11NaiveEngineD5Ev]+0xd35): undefined reference to `cudnnDestroy'
   ## Minimum reproducible example
   Use the latest master branch
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   1. checkout latest master branch
   2.  run 
   make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=0
   
   ## What have you tried to solve it?
   
   1.  By changing the following:
   diff --git a/src/operator/nn/convolution.cu b/src/operator/nn/convolution.cu
   index 9f61212..9f573f1 100644
   --- a/src/operator/nn/convolution.cu
   +++ b/src/operator/nn/convolution.cu
   @@ -89,7 +89,7 @@ void ConvolutionCompute<gpu>(const nnvm::NodeAttrs& attrs,
      const ConvolutionParam& param = nnvm::get<ConvolutionParam>(attrs.parsed);
      int dtype = inputs[conv::kData].type_flag_;
   
   -#if CUDNN_MAJOR < 5
   +#if MXNET_USE_CUDNN ==1 && CUDNN_MAJOR < 5
      if (param_.layout.value() != kNCW &&
          param_.layout.value() != kNCHW &&
          param_.layout.value() != kNCDHW) {
   @@ -167,7 +167,7 @@ void ConvolutionGradCompute<gpu>(const nnvm::NodeAttrs& attrs,
      const std::vector<TBlob> &in_grad = outputs;
      int dtype = out_grad.type_flag_;
   
   -#if CUDNN_MAJOR < 5
   +#if MXNET_USE_CUDNN ==1 && CUDNN_MAJOR < 5
      if (param_.layout.value() != kNCW &&
          param_.layout.value() != kNCHW &&
          param_.layout.value() != kNCDHW) {
   
   I can continue compiling but get another error below:
   
   build/src/engine/naive_engine.o: In function `mxnet::engine::NaiveEngine::~NaiveEngine()':
   naive_engine.cc:(.text._ZN5mxnet6engine11NaiveEngineD2Ev[_ZN5mxnet6engine11NaiveEngineD5Ev]+0xd35): undefined reference to `cudnnDestroy'
   naive_engine.cc:(.text._ZN5mxnet6engine11NaiveEngineD2Ev[_ZN5mxnet6engine11NaiveEngineD5Ev]+0x1ce4): undefined reference to `cudnnGetErrorString'
   build/src/engine/naive_engine.o: In function `void mshadow::DeleteStream<mshadow::gpu>(mshadow::Stream<mshadow::gpu>*)':
   naive_engine.cc:(.text._ZN7mshadow12DeleteStreamINS_3gpuEEEvPNS_6StreamIT_EE[_ZN7mshadow12DeleteStreamINS_3gpuEEEvPNS_6StreamIT_EE]+0x12a): undefined reference to `cudnnDestroy'
   ....
   
   The cudnn flag is set mshadow I suppose but I haven't found out what makes the cudnn flag is true
   
   

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