Please specify the location of python. [Defaultis xxx]:
Found possible Python library paths: xxx Please input the desired Python library path touse. Defaultis [xxx]
Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: No OpenCL SYCL support will be enabled for TensorFlow.
Do you wish to build TensorFlow with ROCm support? [y/N]: No ROCm support will be enabled for TensorFlow.
Do you wish to build TensorFlow with CUDA support? [y/N]: y CUDA support will be enabled for TensorFlow.
Do you wish to build TensorFlow with TensorRT support? [y/N]: No TensorRT support will be enabled for TensorFlow.
Found CUDA 10.2in: /usr/local/cuda/lib64 /usr/local/cuda/include Found cuDNN 7in: /usr/local/cuda/lib64 /usr/local/cuda/include
Please specify a list of comma-separated CUDA compute capabilities you want to build with. You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus. Please note that each additional compute capability significantly increases your build timeand binary size, and that TensorFlow only supports compute capabilities >= 3.5 [Defaultis: 7.5,7.5]:
Do you want touse clang as CUDA compiler? [y/N]: nvcc will be used as CUDA compiler.
Please specify which gcc should be used by nvcc as the host compiler. [Defaultis /usr/bin/gcc]:
Please specify optimization flags touse during compilation when bazel option "--config=opt"is specified [Defaultis -march=native -Wno-sign-compare]:
Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: Not configuring the WORKSPACE for Android builds.
Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>"to your build command. See .bazelrc for more details. --config=mkl # Build with MKL support. --config=monolithic # Config for mostly static monolithic build. --config=ngraph # Build with Intel nGraph support. --config=numa # Build with NUMA support. --config=dynamic_kernels # (Experimental) Build kernels into separate shared objects. --config=v2 # Build TensorFlow 2.x instead of 1.x. Preconfigured Bazel build configs to DISABLE defaulton features: --config=noaws # Disable AWS S3 filesystem support. --config=nogcp # Disable GCP support. --config=nohdfs # Disable HDFS support. --config=nonccl # Disable NVIDIA NCCL support. Configuration finished
The library path for Python should be set accordingly.
You may want to add options --copt=-msse4.2, --copt=-mavx, --copt=-mavx2 and --copt=-mfma to enable SSE4.2, AVX, AVX2 and FMA SIMD accelerations, respectively. It is noted that these options should be chosen according to the CPU architecture. If the RAM becomes an issue of your machine, you may limit the RAM usage by using --local_resources 2048,.5,1.0.
Now I assume you want to install tensorflow in directory $tensorflow_root. Create the directory if it does not exists
mkdir -p $tensorflow_root
Now, copy the libraries to the tensorflow’s installation directory: