Я пытаюсь установить tenorflow lite локально. Я выполняю действия, упомянутые здесь: https://www.tensorflow.org/lite/guide/android
Когда я запускаю скрипт ./configure в каталоге root, должна быть опция для интерактивной настройки ./workspace для android сборок , Но у меня нет такой опции, и я сталкиваюсь с множеством ошибок во время сборки. Есть ли способ, я могу знать переменные, которые должны быть установлены? Или какой-нибудь способ это исправить?
C:\Users\nikhil\tensorflow>.\configure
WARNING: Running Bazel server needs to be killed, because the startup options are different.
You have bazel 2.0.0 installed.
Please specify the location of python. [Default is C:\Users\nikhil\AppData\Local\Programs\Python\Python37\python.exe]:
Found possible Python library paths: C:\Users\nikhil\AppData\Local\Programs\Python\Python37\lib\site-packages
Please input the desired Python library path to use. Default is [C:\Users\nikhil\AppData\Local\Programs\Python\Python37\lib\site-packages]
Do you wish to build TensorFlow with XLA JIT support? [y/N]:
No XLA JIT 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]:
No CUDA support will be enabled for TensorFlow.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is /arch:AVX]:
Would you like to override eigen strong inline for some C++ compilation to reduce the compilation time? [Y/n]:
Eigen strong inline overridden.
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 default on 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