I've been trying to install Tensorflow for a few weeks now and I keep getting a lot of errors with the simple installations so I think that it would be best for me to install Tensorflow from source. I'm following the instructions on the Tensorflow website exactly, and my ./configure is mostly all default so I can see if it works before I make modifications:
./configure
Please specify the location of python. [Default is /usr/bin/python]: /Library/Frameworks/Python.framework/Versions/3.6/bin/python3
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] n
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N] n
No Hadoop File System support will be enabled for TensorFlow
Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N]
No XLA support will be enabled for TensorFlow
Found possible Python library paths:
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages
Please input the desired Python library path to use. Default is [/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages]
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages
Do you wish to build TensorFlow with OpenCL support? [y/N] n
No OpenCL support will be enabled for TensorFlow
Do you wish to build TensorFlow with CUDA support? [y/N] n
No CUDA support will be enabled for TensorFlow
INFO: Starting clean (this may take a while). Consider using --async if the clean takes more than several minutes.
Configuration finished
(This is not the first time I've edited the configuration)
After this, I execute the following bazel build command straight from the Tensorflow.org website instructions for installing from source :
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package
(In the future, I'm going to add some additional flags to account for the fact that I've been getting CPU instruction errors about SSE, AVX, etc.)
When I execute that bazel command, I get an extremely long wait time and a list of errors that piles up:
r08ErCk:tensorflow kendrick$ bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package
WARNING: /Users/kendrick/tensorflow/tensorflow/contrib/learn/BUILD:15:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:exporter': Use SavedModel Builder instead.
WARNING: /Users/kendrick/tensorflow/tensorflow/contrib/learn/BUILD:15:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:gc': Use SavedModel instead.
INFO: Found 1 target...
INFO: From Compiling external/protobuf/src/google/protobuf/compiler/js/embed.cc [for host]:
external/protobuf/src/google/protobuf/compiler/js/embed.cc:37:12: warning: unused variable 'output_file' [-Wunused-const-variable]
const char output_file[] = "well_known_types_embed.cc";
^
1 warning generated.
INFO: From Compiling external/protobuf/python/google/protobuf/pyext/message_factory.cc:
external/protobuf/python/google/protobuf/pyext/message_factory.cc:78:28: warning: ISO C++11 does not allow conversion from string literal to 'char *' [-Wwritable-strings]
static char* kwlist[] = {"pool", 0};
^
external/protobuf/python/google/protobuf/pyext/message_factory.cc:222:6: warning: ISO C++11 does not allow conversion from string literal to 'char *' [-Wwritable-strings]
{"pool", (getter)GetPool, NULL, "DescriptorPool"},
^
external/protobuf/python/google/protobuf/pyext/message_factory.cc:222:37: warning: ISO C++11 does not allow conversion from string literal to 'char *' [-Wwritable-strings]
{"pool", (getter)GetPool, NULL, "DescriptorPool"},
^
3 warnings generated.
This is only a small portion of all the errors that looked similar to this that piled up. Even after all of the error messages, the command never returns and I just get the blinking cursor on an empty line.
Can someone please provide me with some exact instructions on what I should enter into terminal to avoid these errors? I've been following stack advice for weeks but continue to get errors.
MAC OS Sierra (MacBook Air)
What should I enter into terminal? (specifically)
Everything that I've done up to this point has been almost exactly what is told to do on the Tensorflow.org website instructions.
