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I am following this guide (https://gist.github.com/EKami/9869ae6347f68c592c5b5cd181a3b205) to install tensorflow on a raspberry pi for c++. I attempt to build the tensorflow library with this command:
bazel build -c opt --config=monolithic --local_resources 1024,1.0,1.0 --verbose_failures //tensorflow:libtensorflow_cc.so
Steps to Reproduce
Follow the guide above but skipping the portion where he says to replace:
native.new_http_archive(
name = "eigen_archive",
urls = [
"http://mirror.bazel.build/bitbucket.org/eigen/eigen/get/f3a22f35b044.tar.gz",
"https://bitbucket.org/eigen/eigen/get/f3a22f35b044.tar.gz",
],
sha256 = "ca7beac153d4059c02c8fc59816c82d54ea47fe58365e8aded4082ded0b820c4",
strip_prefix = "eigen-eigen-f3a22f35b044",
build_file = str(Label("//third_party:eigen.BUILD")),
)
as doing so caused me problems. I also used all of the newest versions of software the tutorial has you download
Hardware/Software Info
Please provide the following information about your Raspberry Pi setup:
Raspberry Pi model: 3 B+
Operating System used: Raspbian Stretch
Version of Python used: 3.5.3
SD card memory size: 32 GB
Size of USB/other device used as swap (if building from source): 16 GB
TensorFlow git commit hash (if building from source): I cloned the repository October 19 2018
Describe the Issue
I am following this guide (https://gist.github.com/EKami/9869ae6347f68c592c5b5cd181a3b205) to install tensorflow on a raspberry pi for c++. I attempt to build the tensorflow library with this command:
bazel build -c opt --config=monolithic --local_resources 1024,1.0,1.0 --verbose_failures //tensorflow:libtensorflow_cc.so
Steps to Reproduce
Follow the guide above but skipping the portion where he says to replace:
native.new_http_archive(
name = "eigen_archive",
urls = [
"http://mirror.bazel.build/bitbucket.org/eigen/eigen/get/f3a22f35b044.tar.gz",
"https://bitbucket.org/eigen/eigen/get/f3a22f35b044.tar.gz",
],
sha256 = "ca7beac153d4059c02c8fc59816c82d54ea47fe58365e8aded4082ded0b820c4",
strip_prefix = "eigen-eigen-f3a22f35b044",
build_file = str(Label("//third_party:eigen.BUILD")),
)
as doing so caused me problems. I also used all of the newest versions of software the tutorial has you download
Hardware/Software Info
Please provide the following information about your Raspberry Pi setup:
Relevant Con/home/pi/tf/tensorflow/tensorflow/BUILD:558:1: Linking of rule '//tensorflow:libtensorflow_cc.so' failed (Exit 1): gcc failed: error executing command
(cd /home/pi/.cache/bazel/_bazel_pi/4770c5ca1786316d370c900c0b614a6d/execroot/org_tensorflow &&
exec env -
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/games:/usr/games
PWD=/proc/self/cwd
PYTHON_BIN_PATH=/usr/bin/python
PYTHON_LIB_PATH=/usr/local/lib/python2.7/dist-packages
TF_DOWNLOAD_CLANG=0
TF_NEED_CUDA=0
TF_NEED_OPENCL_SYCL=0
/usr/bin/gcc -shared -o bazel-out/arm-opt/bin/tensorflow/libtensorflow_cc.so -z defs -Wl,--version-script tensorflow/tf_version_script.lds '-Wl,-rpath,$ORIGIN/' -Wl,-soname,libtensorflow_cc.so -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread '-fuse-ld=gold' -Wl,-no-as-needed -Wl,-z,relro,-z,now -B/usr/bin -B/usr/bin -pass-exit-codes -Wl,--gc-sections -Wl,@bazel-out/arm-opt/bin/tensorflow/libtensorflow_cc.so-2.params)
bazel-out/arm-opt/bin/tensorflow/core/kernels/_objs/list_kernels/list_kernels.pic.o:list_kernels.cc:function tensorflow::TensorListStack<Eigen::ThreadPoolDevice, tensorflow::bfloat16>::Compute(tensorflow::OpKernelContext*): error: undefined reference to 'void tensorflow::ConcatCPUtensorflow::bfloat16(tensorflow::DeviceBase*, std::vector<std::unique_ptr<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix, std::default_delete<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix> >, std::allocator<std::unique_ptr<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix, std::default_delete<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix> > > > const&, tensorflow::TTypes<tensorflow::bfloat16, 2, int>::Matrix*)'
bazel-out/arm-opt/bin/tensorflow/core/kernels/_objs/list_kernels/list_kernels.pic.o:list_kernels.cc:function tensorflow::TensorListGather<Eigen::ThreadPoolDevice, tensorflow::bfloat16>::Compute(tensorflow::OpKernelContext*): error: undefined reference to 'void tensorflow::ConcatCPUtensorflow::bfloat16(tensorflow::DeviceBase*, std::vector<std::unique_ptr<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix, std::default_delete<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix> >, std::allocator<std::unique_ptr<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix, std::default_delete<tensorflow::TTypes<tensorflow::bfloat16, 2, int>::ConstMatrix> > > > const&, tensorflow::TTypes<tensorflow::bfloat16, 2, int>::Matrix*)'
collect2: error: ld returned 1 exit status
Target //tensorflow:libtensorflow_cc.so failed to build
INFO: Elapsed time: 21254.436s, Critical Path: 1956.26s
INFO: 2708 processes: 2708 local.
FAILED: Build did NOT complete successfully
sole Output/Logs
The text was updated successfully, but these errors were encountered: