![]() ![]() Session may differ): View sample configuration session In both cases you can change the default. No ROCm support will be enabled for TensorFlow.ĭo you wish to build TensorFlow with CUDA support? : YĬUDA support will be enabled for TensorFlow.ĭo you wish to build TensorFlow with TensorRT support? : No OpenCL SYCL support will be enabled for TensorFlow.ĭo you wish to build TensorFlow with ROCm support? : Default is ĭo you wish to build TensorFlow with OpenCL SYCL support? : Please input the desired Python library path to use. No TensorRT support will be enabled for TensorFlow. Please specify a list of comma-separated CUDA compute capabilities you want to build with. Please note that each additional compute capability significantly increases your build time and binary size, and that TensorFlow only supports compute capabilities >= 3.5 : 6.1ĭo you want to use clang as CUDA compiler? : You can find the compute capability of your device at: Each capability can be specified as "x.y" or "compute_xy" to include both virtual and binary GPU code, or as "sm_xy" to only include the binary code. Please specify optimization flags to use during compilation when bazel option "-config=opt" is specified : Please specify which gcc should be used by nvcc as the host compiler. Would you like to interactively configure. Not configuring the WORKSPACE for Android builds. #Toontown offline shrit codes code for androidTOONTOWN OFFLINE 1.0 SOURCE CODE FOR ANDROID You can use any of the below by adding "-config=" to your build command. config=monolithic # Config for mostly static monolithic build. config=ngraph # Build with Intel nGraph support. config=dynamic_kernels # (Experimental) Build kernels into separate shared objects. Preconfigured Bazel build configs to DISABLE default on features: config=v2 # Build TensorFlow 2.x instead of 1.x.
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