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Bash script for local building TensorFlow on Mac with all CPU optimizations (default pip package has only SSE)
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# Check whether script is executing in a VirtualEnv or Conda environment | |
if [ -z "$VIRTUAL_ENV" ] && [ -z "$CONDA_PREFIX" ] ; then | |
echo "VirtualEnv or Conda env is not activated" | |
exit -1 | |
fi | |
# Set the virtual environment path | |
if ! [ -z "$VIRTUAL_ENV" ] ; then | |
VENV_PATH=$VIRTUAL_ENV | |
elif ! [ -z "$CONDA_PREFIX" ] ; then | |
VENV_PATH=$CONDA_PREFIX | |
fi | |
# Set the bin and lib directories | |
VENV_BIN=$VENV_PATH/bin | |
VENV_LIB=$VENV_PATH/lib | |
# bazel tf needs these env vars | |
export PYTHON_BIN_PATH=$VENV_BIN/python | |
export PYTHON_LIB_PATH=`ls -d $VENV_LIB/*/ | grep python` | |
# Set the native architecture optimization flag, which is a default | |
COPT="--copt=-march=native" | |
# Determine the available features of your CPU | |
raw_cpu_flags=`sysctl -a | grep machdep.cpu.features | cut -d ":" -f 2 | tr '[:upper:]' '[:lower:]'` | |
# Append each of your CPU's features to the list of optimization flags | |
for cpu_feature in $raw_cpu_flags | |
do | |
case "$cpu_feature" in | |
"sse4.1" | "sse4.2" | "ssse3" | "fma" | "cx16" | "popcnt" | "maes") | |
COPT+=" --copt=-m$cpu_feature" | |
;; | |
"avx1.0") | |
COPT+=" --copt=-mavx" | |
;; | |
*) | |
# noop | |
;; | |
esac | |
done | |
# First ensure a clear working directory in case you've run bazel previously | |
bazel clean | |
# Run TensorFlow configuration (accept defaults unless you have a need) | |
./configure | |
# Build the TensorFlow pip package | |
bazel build -c opt $COPT -k //tensorflow/tools/pip_package:build_pip_package | |
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg |
also copyright was removed...
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Modified to support detecting an Anaconda environment. Also fixed an issue with the Python library path not being found properly on my system.