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Solving an error of 'undefined symbol' when tools/demo.py is running #353

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Solving an error of 'undefined symbol' when tools/demo.py is running #353

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465aa13
Solving an error of 'undefined symbol' when tools/demo.py is running
tedlz123 Feb 11, 2020
38005d9
Delete .VGGnet.py.swo
tedlz123 Jun 18, 2021
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10 changes: 7 additions & 3 deletions lib/make.sh
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
TF_INC=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_include())')
TF_LIB=$(python -c 'import tensorflow as tf; print(tf.sysconfig.get_lib())')

CUDA_PATH=/usr/local/cuda/
CXXFLAGS=''
Expand All @@ -11,15 +12,18 @@ cd roi_pooling_layer

if [ -d "$CUDA_PATH" ]; then
nvcc -std=c++11 -c -o roi_pooling_op.cu.o roi_pooling_op_gpu.cu.cc \
-I $TF_INC -D GOOGLE_CUDA=1 -x cu -Xcompiler -fPIC $CXXFLAGS \
-I $TF_INC -L $TF_LIB -ltensorflow_framework \
-DGOOGLE_CUDA=1 -x cu -Xcompiler -fPIC $CXXFLAGS \
-arch=sm_37

g++ -std=c++11 -shared -o roi_pooling.so roi_pooling_op.cc \
roi_pooling_op.cu.o -I $TF_INC -D GOOGLE_CUDA=1 -fPIC $CXXFLAGS \
roi_pooling_op.cu.o -I $TF_INC -L $TF_LIB \
-ltensorflow_framework -DGOOGLE_CUDA=1 -fPIC $CXXFLAGS \
-lcudart -L $CUDA_PATH/lib64
else
g++ -std=c++11 -shared -o roi_pooling.so roi_pooling_op.cc \
-I $TF_INC -fPIC $CXXFLAGS
-I $TF_INC -L $TF_LIB -ltensorflow_framework \
-DGOOGLE_CUDA=0 -fPIC $CXXFLAGS
fi

cd ..
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5 changes: 4 additions & 1 deletion lib/roi_pooling_layer/roi_pooling_op.cc
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Expand Up @@ -194,6 +194,7 @@ class RoiPoolOp : public OpKernel {
float spatial_scale_;
};

#if GOOGLE_CUDA
bool ROIPoolForwardLaucher(
const float* bottom_data, const float spatial_scale, const int num_rois, const int height,
const int width, const int channels, const int pooled_height,
Expand Down Expand Up @@ -290,6 +291,7 @@ class RoiPoolOp<Eigen::GpuDevice, T> : public OpKernel {
int pooled_width_;
float spatial_scale_;
};
#endif

// compute gradient
template <class Device, class T>
Expand Down Expand Up @@ -456,6 +458,7 @@ class RoiPoolGradOp : public OpKernel {
float spatial_scale_;
};

#if GOOGLE_CUDA
bool ROIPoolBackwardLaucher(const float* top_diff, const float spatial_scale, const int batch_size, const int num_rois,
const int height, const int width, const int channels, const int pooled_height,
const int pooled_width, const float* bottom_rois,
Expand All @@ -480,7 +483,6 @@ static void RoiPoolingGradKernel(
output->flat<float>().data(), argmax_data->flat<int>().data(), context->eigen_device<Eigen::GpuDevice>());
}


template <class T>
class RoiPoolGradOp<Eigen::GpuDevice, T> : public OpKernel {
public:
Expand Down Expand Up @@ -552,6 +554,7 @@ class RoiPoolGradOp<Eigen::GpuDevice, T> : public OpKernel {
int pooled_width_;
float spatial_scale_;
};
#endif

REGISTER_KERNEL_BUILDER(Name("RoiPool").Device(DEVICE_CPU).TypeConstraint<float>("T"), RoiPoolOp<CPUDevice, float>);
REGISTER_KERNEL_BUILDER(Name("RoiPoolGrad").Device(DEVICE_CPU).TypeConstraint<float>("T"), RoiPoolGradOp<CPUDevice, float>);
Expand Down