Doc: Tensorflow: Build from source
I had to use older version to use it.
https://docs.bazel.build/versions/master/install-ubuntu.html
This method I could install only 1.0.0 but it needs 0.26.2 or older
sudo apt install curl gnupg
#curl -fsSL https://bazel.build/bazel-release.pub.gpg | gpg --dearmor > bazel.gpg
#sudo mv bazel.gpg /etc/apt/trusted.gpg.d/
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
echo "deb [arch=amd64] https://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
sudo apt update
sudo apt install bazel-1.0.0
bazel
Download 0.26.1 because I didn't find 0.26.2
https://github.com/bazelbuild/bazel/releases/tag/0.26.1
sudo dpkg -i bazel_0.26.1-linux-x86_64.deb
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow/
git checkout r1.14
It needs bazel 0.26.2
./configure
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.26.1 installed.
Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3.7
Found possible Python library paths:
/usr/local/lib/python3.7/dist-packages
/usr/lib/python3/dist-packages
Please input the desired Python library path to use. Default is [/usr/local/lib/python3.7/dist-packages]
Do you wish to build TensorFlow with XLA JIT support? [Y/n]:
XLA JIT support will be enabled for TensorFlow.
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]:
No CUDA support will be enabled for TensorFlow.
Do you wish to download a fresh release of clang? (Experimental) [y/N]:
Clang will not be downloaded.
Do you wish to build TensorFlow with MPI support? [y/N]:
No MPI support will be enabled for TensorFlow.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -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=gdr # Build with GDR support.
--config=verbs # Build with libverbs support.
--config=ngraph # Build with Intel nGraph support.
--config=numa # Build with NUMA support.
--config=dynamic_kernels # (Experimental) Build kernels into separate shared objects.
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=noignite # Disable Apache Ignite support.
--config=nokafka # Disable Apache Kafka support.
--config=nonccl # Disable NVIDIA NCCL support.
Configuration finished
# --jobs 2 :less jobs because my CPU was to hot
# --config=v2 :compile tensorflow 2.0 ? But it didn't work for old computer
# --config=opt :compile for CPU (no GPU/CUDA)
# bazel build --config=v2 //tensorflow/tools/pip_package:build_pip_package --jobs 2
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package --jobs 2
./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
ll /tmp/tensorflow_pkg/
sudo pip3.7 install /tmp/tensorflow_pkg/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl
EDIT 2021
I don't have Python 3.7 in Linux Mint 20 to test if it still working.
I would have to install unofficial Python 3.7 from repo deadsnakes
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt-get update
sudo apt-get install python3.7
sudo apt-get install python3.7-dev
And install module(s)
# modules for install wheel
sudo python3.7 -m pip install setuptools wheel
# modules needed in tensorflow (-U to update to the newest version)
sudo python3.7 -m pip install -U numpy
# tensorflow
sudo python3.7 -m pip install tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl
To use contrib you have to import it
import tensorflow.contrib
Use even less CPU with cpulimit
cpulimit -l 80 -- bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package --jobs 1
no known conversion for argument 2 from '<unresolved overloaded function type>' to 'PyUFuncGenericFunction'
it needs numpy < 1.19.0
TF-1.14:
pip install 'numpy<1.19.0'
pip install -U pip six wheel mock
pip install future
pip install keras_applications==1.0.4 --no-deps
pip install keras_preprocessing==1.0.2 --no-deps
pip install pandas
kernel: 5.8.0-36-generic x86_64 System: GCC: gcc version 9.3.0 (Ubuntu 9.3.0-17ubuntu1~20.04) Target: x86_64-linux-gnu
OS: Linux Mint 20 x86_64 (MATE) CPU: Intel i5 M 430 (4) @ 2.267GHz GPU: AMD ATI Mobility Radeon HD 5650/5750 / 6530M/6550M Memory: 4119MiB / 7822MiB
tensorflow/tensorflow#41061 (comment)
'numpy<1.19.0'
TF-1.14: pip install 'numpy<1.19.0' pip install -U pip six wheel mock pip install future pip install keras_applications==1.0.4 --no-deps pip install keras_preprocessing==1.0.2 --no-deps pip install pandas
https://github.com/bazelbuild/bazel/releases/tag/0.25.2
bazel version: bazel-0.25.2-installer-linux-x86_64.sh
https://docs.bazel.build/versions/master/install-bazelisk.html
sudo npm install -g @bazel/bazelisk
or precompiled on https://github.com/bazelbuild/bazelisk/releases
INFO: Elapsed time: 28284.865s, Critical Path: 265.76s INFO: 7152 processes: 7152 local. INFO: Build completed successfully, 7613 total actions
Elapsed time: 28284 (~7.8h)