Tensorflow & Keras - Build from Source

Tensorflow is always problematic, particularly, for guys like me…

1. Configuration

Linux Kernel 4.17.3 + Ubuntu 18.04 + GCC 7.3.0 + Python

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$ uname -r
4.17.3-041703-generic
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$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 18.04 LTS
Release: 18.04
Codename: bionic
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$ gcc --version
gcc (Ubuntu 7.3.0-16ubuntu3) 7.3.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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$ python --version
Python 3.6.5

2. Install Bazel

From Bazel’s official website Installing Bazel on Ubuntu:

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$ echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
$ curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
$ sudo apt update && sudo apt install bazel

Current bazel 0.15.0 will be installed.

3. Let’s Build Tensorflow from Source

3.1 Configuration

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$ ./configure
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by com.google.protobuf.UnsafeUtil (file:~/.cache/bazel/_bazel_jiapei/install/ce085f519b017357185750fe457b4648/_embedded_binaries/A-server.jar) to field java.nio.Buffer.address
WARNING: Please consider reporting this to the maintainers of com.google.protobuf.UnsafeUtil
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.15.0 installed.
Please specify the location of python. [Default is /usr/bin/python]:


Found possible Python library paths:
/usr/local/lib/python3.6/dist-packages
/usr/lib/python3/dist-packages
Please input the desired Python library path to use. Default is [/usr/local/lib/python3.6/dist-packages]

Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: Y
jemalloc as malloc support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: Y
Google Cloud Platform support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: Y
Hadoop File System support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Amazon AWS Platform support? [Y/n]: Y
Amazon AWS Platform support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Apache Kafka Platform support? [Y/n]: Y
Apache Kafka Platform support will be enabled for TensorFlow.

Do you wish to build TensorFlow with XLA JIT support? [y/N]: N
No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with GDR support? [y/N]: N
No GDR support will be enabled for TensorFlow.

Do you wish to build TensorFlow with VERBS support? [y/N]: N
No VERBS support will be enabled for TensorFlow.

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: N
No OpenCL SYCL support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: y
CUDA support will be enabled for TensorFlow.

Please specify the CUDA SDK version you want to use. [Leave empty to default to CUDA 9.0]: 9.2


Please specify the location where CUDA 9.2 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:


Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7.0]: 7.1.4


Please specify the location where cuDNN 7 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:


Do you wish to build TensorFlow with TensorRT support? [y/N]: N
No TensorRT support will be enabled for TensorFlow.

Please specify the NCCL version you want to use. [Leave empty to default to NCCL 1.3]:


Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 5.2]


Do you want to use clang as CUDA compiler? [y/N]: N
nvcc will be used as CUDA compiler.

Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]:


Do you wish to build TensorFlow with MPI support? [y/N]: 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]:


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: 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 tools/bazel.rc for more details.
--config=mkl # Build with MKL support.
--config=monolithic # Config for mostly static monolithic build.
Configuration finished

3.2 FIRST Bazel Build

Follow Installing TensorFlow from Sources on Tensorflow’s official website, have all required packages prepared, and run:

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bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

you will meet several ERROR messages, which requires you to carry out the following modifications.

3.3 Modifications

  • File ~/.cache/bazel/_bazel_jiapei/051cd94cedc722db8c69e42ce51064b5/external/jpeg/BUILD:
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config_setting(
name = "armeabi-v7a",
- values = {"android_cpu": "armeabi-v7a"},
+ values = {"cpu": "armeabi-v7a"},
)
  • Two Symbolic links
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$ sudo ln -s /usr/local/cuda/include/crt/math_functions.hpp /usr/local/cuda/include/math_functions.hpp
$ sudo ln -s /usr/local/cuda/nvvm/libdevice/libdevice.10.bc /usr/local/cuda/nvvm/lib64/libdevice.10.bc

3.4 Bazel Build Again

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bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

It’ll take around 30 minutes to have Tensorflow successfully built.

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......
Target //tensorflow/tools/pip_package:build_pip_package up-to-date:
bazel-bin/tensorflow/tools/pip_package/build_pip_package
INFO: Elapsed time: 4924.451s, Critical Path: 197.91s
INFO: 8864 processes: 8864 local.
INFO: Build completed successfully, 11002 total actions

4. Tensorflow Installation

4.1 Build the pip File

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$ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
Wed Jul 11 00:09:09 PDT 2018 : === Preparing sources in dir: /tmp/tmp.5X0zsqfxYo
/media/jiapei/Data/Downloads/machinelearning/deeplearning/tensorflow/tensorflow /media/jiapei/Data/Downloads/machinelearning/deeplearning/tensorflow/tensorflow
/media/jiapei/Data/Downloads/machinelearning/deeplearning/tensorflow/tensorflow
Wed Jul 11 00:09:35 PDT 2018 : === Building wheel
warning: no files found matching '*.dll' under directory '*'
warning: no files found matching '*.lib' under directory '*'
warning: no files found matching '*.h' under directory 'tensorflow/include/tensorflow'
warning: no files found matching '*' under directory 'tensorflow/include/Eigen'
warning: no files found matching '*.h' under directory 'tensorflow/include/google'
warning: no files found matching '*' under directory 'tensorflow/include/third_party'
warning: no files found matching '*' under directory 'tensorflow/include/unsupported'
Wed Jul 11 00:10:58 PDT 2018 : === Output wheel file is in: /tmp/tensorflow_pkg

Let’s have a look at what’s been built:

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$ ls /tmp/tensorflow_pkg/
tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl

4.2 Pip Installation

And, let’s have tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl installed.

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$ pip3 install /tmp/tensorflow_pkg/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
Processing /tmp/tensorflow_pkg/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (0.31.1)
Requirement already satisfied: gast>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (0.2.0)
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (1.14.5)
Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (0.7.1)
Requirement already satisfied: six>=1.10.0 in ./.local/lib/python3.6/site-packages (from tensorflow==1.9.0rc0) (1.11.0)
Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (1.13.0)
Requirement already satisfied: absl-py>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (0.2.2)
Requirement already satisfied: tensorboard<1.9.0,>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (1.8.0)
Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (1.1.0)
Requirement already satisfied: setuptools<=39.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (39.1.0)
Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.9.0rc0) (3.6.0)
Requirement already satisfied: bleach==1.5.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.9.0rc0) (1.5.0)
Requirement already satisfied: html5lib==0.9999999 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.9.0rc0) (0.9999999)
Requirement already satisfied: werkzeug>=0.11.10 in ./.local/lib/python3.6/site-packages (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.9.0rc0) (0.14.1)
Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.9.0,>=1.8.0->tensorflow==1.9.0rc0) (2.6.11)
Successfully installed tensorflow-1.9.0rc0

Let’s test if Tensorflow has been successfully installed.

4.3 Check Tensorflow

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$ python
Python 3.6.5 (default, Apr 1 2018, 05:46:30)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'1.9.0-rc0'

5. Keras Installation

After successfully check out Keras, we can easily have Keras installed by command python setup.py install.

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$ python setup.py install
running install
running bdist_egg
running egg_info
creating Keras.egg-info
writing Keras.egg-info/PKG-INFO
writing dependency_links to Keras.egg-info/dependency_links.txt
writing requirements to Keras.egg-info/requires.txt
writing top-level names to Keras.egg-info/top_level.txt
writing manifest file 'Keras.egg-info/SOURCES.txt'
reading manifest file 'Keras.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
writing manifest file 'Keras.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
creating build
creating build/lib
creating build/lib/docs
copying docs/autogen.py -> build/lib/docs
copying docs/__init__.py -> build/lib/docs
creating build/lib/keras
copying keras/activations.py -> build/lib/keras
copying keras/callbacks.py -> build/lib/keras
copying keras/constraints.py -> build/lib/keras
copying keras/initializers.py -> build/lib/keras
copying keras/losses.py -> build/lib/keras
copying keras/metrics.py -> build/lib/keras
copying keras/models.py -> build/lib/keras
copying keras/objectives.py -> build/lib/keras
copying keras/optimizers.py -> build/lib/keras
copying keras/regularizers.py -> build/lib/keras
copying keras/__init__.py -> build/lib/keras
creating build/lib/keras/applications
copying keras/applications/densenet.py -> build/lib/keras/applications
copying keras/applications/imagenet_utils.py -> build/lib/keras/applications
copying keras/applications/inception_resnet_v2.py -> build/lib/keras/applications
copying keras/applications/inception_v3.py -> build/lib/keras/applications
copying keras/applications/mobilenet.py -> build/lib/keras/applications
copying keras/applications/mobilenetv2.py -> build/lib/keras/applications
copying keras/applications/nasnet.py -> build/lib/keras/applications
copying keras/applications/resnet50.py -> build/lib/keras/applications
copying keras/applications/vgg16.py -> build/lib/keras/applications
copying keras/applications/vgg19.py -> build/lib/keras/applications
copying keras/applications/xception.py -> build/lib/keras/applications
copying keras/applications/__init__.py -> build/lib/keras/applications
creating build/lib/keras/backend
copying keras/backend/cntk_backend.py -> build/lib/keras/backend
copying keras/backend/common.py -> build/lib/keras/backend
copying keras/backend/tensorflow_backend.py -> build/lib/keras/backend
copying keras/backend/theano_backend.py -> build/lib/keras/backend
copying keras/backend/__init__.py -> build/lib/keras/backend
creating build/lib/keras/datasets
copying keras/datasets/boston_housing.py -> build/lib/keras/datasets
copying keras/datasets/cifar.py -> build/lib/keras/datasets
copying keras/datasets/cifar10.py -> build/lib/keras/datasets
copying keras/datasets/cifar100.py -> build/lib/keras/datasets
copying keras/datasets/fashion_mnist.py -> build/lib/keras/datasets
copying keras/datasets/imdb.py -> build/lib/keras/datasets
copying keras/datasets/mnist.py -> build/lib/keras/datasets
copying keras/datasets/reuters.py -> build/lib/keras/datasets
copying keras/datasets/__init__.py -> build/lib/keras/datasets
creating build/lib/keras/engine
copying keras/engine/base_layer.py -> build/lib/keras/engine
copying keras/engine/input_layer.py -> build/lib/keras/engine
copying keras/engine/network.py -> build/lib/keras/engine
copying keras/engine/saving.py -> build/lib/keras/engine
copying keras/engine/sequential.py -> build/lib/keras/engine
copying keras/engine/topology.py -> build/lib/keras/engine
copying keras/engine/training.py -> build/lib/keras/engine
copying keras/engine/training_arrays.py -> build/lib/keras/engine
copying keras/engine/training_generator.py -> build/lib/keras/engine
copying keras/engine/training_utils.py -> build/lib/keras/engine
copying keras/engine/__init__.py -> build/lib/keras/engine
creating build/lib/keras/layers
copying keras/layers/advanced_activations.py -> build/lib/keras/layers
copying keras/layers/convolutional.py -> build/lib/keras/layers
copying keras/layers/convolutional_recurrent.py -> build/lib/keras/layers
copying keras/layers/core.py -> build/lib/keras/layers
copying keras/layers/cudnn_recurrent.py -> build/lib/keras/layers
copying keras/layers/embeddings.py -> build/lib/keras/layers
copying keras/layers/local.py -> build/lib/keras/layers
copying keras/layers/merge.py -> build/lib/keras/layers
copying keras/layers/noise.py -> build/lib/keras/layers
copying keras/layers/normalization.py -> build/lib/keras/layers
copying keras/layers/pooling.py -> build/lib/keras/layers
copying keras/layers/recurrent.py -> build/lib/keras/layers
copying keras/layers/wrappers.py -> build/lib/keras/layers
copying keras/layers/__init__.py -> build/lib/keras/layers
creating build/lib/keras/legacy
copying keras/legacy/interfaces.py -> build/lib/keras/legacy
copying keras/legacy/layers.py -> build/lib/keras/legacy
copying keras/legacy/__init__.py -> build/lib/keras/legacy
creating build/lib/keras/preprocessing
copying keras/preprocessing/image.py -> build/lib/keras/preprocessing
copying keras/preprocessing/sequence.py -> build/lib/keras/preprocessing
copying keras/preprocessing/text.py -> build/lib/keras/preprocessing
copying keras/preprocessing/__init__.py -> build/lib/keras/preprocessing
creating build/lib/keras/utils
copying keras/utils/conv_utils.py -> build/lib/keras/utils
copying keras/utils/data_utils.py -> build/lib/keras/utils
copying keras/utils/generic_utils.py -> build/lib/keras/utils
copying keras/utils/io_utils.py -> build/lib/keras/utils
copying keras/utils/layer_utils.py -> build/lib/keras/utils
copying keras/utils/multi_gpu_utils.py -> build/lib/keras/utils
copying keras/utils/np_utils.py -> build/lib/keras/utils
copying keras/utils/test_utils.py -> build/lib/keras/utils
copying keras/utils/vis_utils.py -> build/lib/keras/utils
copying keras/utils/__init__.py -> build/lib/keras/utils
creating build/lib/keras/wrappers
copying keras/wrappers/scikit_learn.py -> build/lib/keras/wrappers
copying keras/wrappers/__init__.py -> build/lib/keras/wrappers
creating build/bdist.linux-x86_64
creating build/bdist.linux-x86_64/egg
creating build/bdist.linux-x86_64/egg/docs
copying build/lib/docs/autogen.py -> build/bdist.linux-x86_64/egg/docs
copying build/lib/docs/__init__.py -> build/bdist.linux-x86_64/egg/docs
creating build/bdist.linux-x86_64/egg/keras
copying build/lib/keras/activations.py -> build/bdist.linux-x86_64/egg/keras
creating build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/densenet.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/imagenet_utils.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/inception_resnet_v2.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/inception_v3.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/mobilenet.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/mobilenetv2.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/nasnet.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/resnet50.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/vgg16.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/vgg19.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/xception.py -> build/bdist.linux-x86_64/egg/keras/applications
copying build/lib/keras/applications/__init__.py -> build/bdist.linux-x86_64/egg/keras/applications
creating build/bdist.linux-x86_64/egg/keras/backend
copying build/lib/keras/backend/cntk_backend.py -> build/bdist.linux-x86_64/egg/keras/backend
copying build/lib/keras/backend/common.py -> build/bdist.linux-x86_64/egg/keras/backend
copying build/lib/keras/backend/tensorflow_backend.py -> build/bdist.linux-x86_64/egg/keras/backend
copying build/lib/keras/backend/theano_backend.py -> build/bdist.linux-x86_64/egg/keras/backend
copying build/lib/keras/backend/__init__.py -> build/bdist.linux-x86_64/egg/keras/backend
copying build/lib/keras/callbacks.py -> build/bdist.linux-x86_64/egg/keras
copying build/lib/keras/constraints.py -> build/bdist.linux-x86_64/egg/keras
creating build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/boston_housing.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/cifar.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/cifar10.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/cifar100.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/fashion_mnist.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/imdb.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/mnist.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/reuters.py -> build/bdist.linux-x86_64/egg/keras/datasets
copying build/lib/keras/datasets/__init__.py -> build/bdist.linux-x86_64/egg/keras/datasets
creating build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/base_layer.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/input_layer.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/network.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/saving.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/sequential.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/topology.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/training.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/training_arrays.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/training_generator.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/training_utils.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/engine/__init__.py -> build/bdist.linux-x86_64/egg/keras/engine
copying build/lib/keras/initializers.py -> build/bdist.linux-x86_64/egg/keras
creating build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/advanced_activations.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/convolutional.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/convolutional_recurrent.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/core.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/cudnn_recurrent.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/embeddings.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/local.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/merge.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/noise.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/normalization.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/pooling.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/recurrent.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/wrappers.py -> build/bdist.linux-x86_64/egg/keras/layers
copying build/lib/keras/layers/__init__.py -> build/bdist.linux-x86_64/egg/keras/layers
creating build/bdist.linux-x86_64/egg/keras/legacy
copying build/lib/keras/legacy/interfaces.py -> build/bdist.linux-x86_64/egg/keras/legacy
copying build/lib/keras/legacy/layers.py -> build/bdist.linux-x86_64/egg/keras/legacy
copying build/lib/keras/legacy/__init__.py -> build/bdist.linux-x86_64/egg/keras/legacy
copying build/lib/keras/losses.py -> build/bdist.linux-x86_64/egg/keras
copying build/lib/keras/metrics.py -> build/bdist.linux-x86_64/egg/keras
copying build/lib/keras/models.py -> build/bdist.linux-x86_64/egg/keras
copying build/lib/keras/objectives.py -> build/bdist.linux-x86_64/egg/keras
copying build/lib/keras/optimizers.py -> build/bdist.linux-x86_64/egg/keras
creating build/bdist.linux-x86_64/egg/keras/preprocessing
copying build/lib/keras/preprocessing/image.py -> build/bdist.linux-x86_64/egg/keras/preprocessing
copying build/lib/keras/preprocessing/sequence.py -> build/bdist.linux-x86_64/egg/keras/preprocessing
copying build/lib/keras/preprocessing/text.py -> build/bdist.linux-x86_64/egg/keras/preprocessing
copying build/lib/keras/preprocessing/__init__.py -> build/bdist.linux-x86_64/egg/keras/preprocessing
copying build/lib/keras/regularizers.py -> build/bdist.linux-x86_64/egg/keras
creating build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/conv_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/data_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/generic_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/io_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/layer_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/multi_gpu_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/np_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/test_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/vis_utils.py -> build/bdist.linux-x86_64/egg/keras/utils
copying build/lib/keras/utils/__init__.py -> build/bdist.linux-x86_64/egg/keras/utils
creating build/bdist.linux-x86_64/egg/keras/wrappers
copying build/lib/keras/wrappers/scikit_learn.py -> build/bdist.linux-x86_64/egg/keras/wrappers
copying build/lib/keras/wrappers/__init__.py -> build/bdist.linux-x86_64/egg/keras/wrappers
copying build/lib/keras/__init__.py -> build/bdist.linux-x86_64/egg/keras
byte-compiling build/bdist.linux-x86_64/egg/docs/autogen.py to autogen.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/docs/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/activations.py to activations.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/densenet.py to densenet.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/imagenet_utils.py to imagenet_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/inception_resnet_v2.py to inception_resnet_v2.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/inception_v3.py to inception_v3.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/mobilenet.py to mobilenet.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/mobilenetv2.py to mobilenetv2.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/nasnet.py to nasnet.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/resnet50.py to resnet50.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/vgg16.py to vgg16.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/vgg19.py to vgg19.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/xception.py to xception.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/applications/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/backend/cntk_backend.py to cntk_backend.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/backend/common.py to common.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/backend/tensorflow_backend.py to tensorflow_backend.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/backend/theano_backend.py to theano_backend.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/backend/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/callbacks.py to callbacks.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/constraints.py to constraints.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/boston_housing.py to boston_housing.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/cifar.py to cifar.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/cifar10.py to cifar10.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/cifar100.py to cifar100.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/fashion_mnist.py to fashion_mnist.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/imdb.py to imdb.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/mnist.py to mnist.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/reuters.py to reuters.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/datasets/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/base_layer.py to base_layer.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/input_layer.py to input_layer.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/network.py to network.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/saving.py to saving.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/sequential.py to sequential.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/topology.py to topology.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/training.py to training.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/training_arrays.py to training_arrays.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/training_generator.py to training_generator.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/training_utils.py to training_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/engine/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/initializers.py to initializers.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/advanced_activations.py to advanced_activations.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/convolutional.py to convolutional.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/convolutional_recurrent.py to convolutional_recurrent.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/core.py to core.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/cudnn_recurrent.py to cudnn_recurrent.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/embeddings.py to embeddings.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/local.py to local.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/merge.py to merge.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/noise.py to noise.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/normalization.py to normalization.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/pooling.py to pooling.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/recurrent.py to recurrent.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/wrappers.py to wrappers.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/layers/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/legacy/interfaces.py to interfaces.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/legacy/layers.py to layers.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/legacy/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/losses.py to losses.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/metrics.py to metrics.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/models.py to models.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/objectives.py to objectives.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/optimizers.py to optimizers.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/preprocessing/image.py to image.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/preprocessing/sequence.py to sequence.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/preprocessing/text.py to text.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/preprocessing/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/regularizers.py to regularizers.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/conv_utils.py to conv_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/data_utils.py to data_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/generic_utils.py to generic_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/io_utils.py to io_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/layer_utils.py to layer_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/multi_gpu_utils.py to multi_gpu_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/np_utils.py to np_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/test_utils.py to test_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/vis_utils.py to vis_utils.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/utils/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/wrappers/scikit_learn.py to scikit_learn.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/wrappers/__init__.py to __init__.cpython-36.pyc
byte-compiling build/bdist.linux-x86_64/egg/keras/__init__.py to __init__.cpython-36.pyc
creating build/bdist.linux-x86_64/egg/EGG-INFO
copying Keras.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO
copying Keras.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying Keras.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying Keras.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying Keras.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
zip_safe flag not set; analyzing archive contents...
creating dist
creating 'dist/Keras-2.2.0-py3.6.egg' and adding 'build/bdist.linux-x86_64/egg' to it
removing 'build/bdist.linux-x86_64/egg' (and everything under it)
Processing Keras-2.2.0-py3.6.egg
Copying Keras-2.2.0-py3.6.egg to /usr/local/lib/python3.6/dist-packages
Adding Keras 2.2.0 to easy-install.pth file

Installed /usr/local/lib/python3.6/dist-packages/Keras-2.2.0-py3.6.egg
Processing dependencies for Keras==2.2.0
Searching for Keras-Preprocessing==1.0.1
Best match: Keras-Preprocessing 1.0.1
Adding Keras-Preprocessing 1.0.1 to easy-install.pth file

Using /usr/local/lib/python3.6/dist-packages
Searching for Keras-Applications==1.0.2
Best match: Keras-Applications 1.0.2
Adding Keras-Applications 1.0.2 to easy-install.pth file

Using /usr/local/lib/python3.6/dist-packages
Searching for h5py==2.8.0
Best match: h5py 2.8.0
Adding h5py 2.8.0 to easy-install.pth file

Using /usr/local/lib/python3.6/dist-packages
Searching for PyYAML==3.13
Best match: PyYAML 3.13
Adding PyYAML 3.13 to easy-install.pth file

Using /usr/local/lib/python3.6/dist-packages
Searching for six==1.11.0
Best match: six 1.11.0
Adding six 1.11.0 to easy-install.pth file

Using /usr/lib/python3/dist-packages
Searching for scipy==1.1.0
Best match: scipy 1.1.0
Adding scipy 1.1.0 to easy-install.pth file

Using /usr/local/lib/python3.6/dist-packages
Searching for numpy==1.14.5
Best match: numpy 1.14.5
Adding numpy 1.14.5 to easy-install.pth file

Using /usr/local/lib/python3.6/dist-packages
Finished processing dependencies for Keras==2.2.0

That’s all for today. I think Python is seriously cool, handy indeed. I myself will still recommend Pytorch, but it seems Tensorflow and Keras are also very popular in North America.