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|
# ======
# HEADER
# ======
#
# This is commented-out and prepended to each generated Dockerfile.
header: |
Copyright 2018 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
============================================================================
THIS IS A GENERATED DOCKERFILE.
This file was assembled from multiple pieces, whose use is documented
below. Please refer to the the TensorFlow dockerfiles documentation for
more information. Build args are documented as their default value.
# ========
# PARTIALS
# ========
#
# Represent and document pieces of a Dockerfile. Spec:
#
# name: the name of the partial, is referenced from the images section
# desc: A description, inserted later into the Dockerfile
# file: Alternative file prefix, e.g. file.partial.Dockerfile. The default is
# the name of the partial.
# args: A dict of ARGs in the Dockerfile; each entry has the format
# ARG_NAME: VALUE where VALUE is one of:
# - a dict:
# desc: Documentation for the arg
# default: Default value for the arg; is written to the Dockerfile
# options: List of strings, part of documentation
# - a concrete value: the same as a dictionary with default: [value].
partials:
ubuntu:
desc: Start from Ubuntu (no GPU support)
args:
UBUNTU_VERSION: 16.04
ubuntu-devel:
desc: Start from Ubuntu, with TF development packages (no GPU support)
args:
UBUNTU_VERSION: 16.04
bazel:
desc: Install the latest version of Bazel and Python development tools.
nvidia:
desc: NVIDIA with CUDA and CuDNN, no dev stuff
args:
UBUNTU_VERSION: 16.04
nvidia-devel:
desc: >
Start from Nvidia's Ubuntu base image with CUDA and CuDNN, with TF
development packages.
args:
UBUNTU_VERSION: 16.04
python:
desc: Python is required for TensorFlow and other libraries.
args:
USE_PYTHON_3_NOT_2:
default: true
desc: Install python 3 over Python 2
tensorflow:
desc: Install the TensorFlow Python package.
args:
TF_PACKAGE:
default: tensorflow
options:
- tensorflow
- tensorflow-gpu
- tf-nightly
- tf-nightly-gpu
desc: The specific TensorFlow Python package to install
shell:
desc: Configure TensorFlow's shell prompt and login tools.
jupyter:
desc: Launch Jupyter on execution instead of a bash prompt.
# ======
# IMAGES
# ======
#
# Represent Dockerfiles. Spec:
#
# name: the name of the image, possibly referenced by other images
# desc: A description, inserted later into the Dockerfile
# create-dockerfile: Create a dockerfile based on this. Useful for creating
# extensible base images that don't need a file. Default is true.
# partials: List of VALUEs, where a VALUE is either:
# - the name of a partial, which inserts that partial into this image
# - image: [name of another image], which inserts the partials from that
# image into this image
# arg-defaults: List of VALUEs, where a VALUE is either:
# - ARG_NAME: VALUE, which sets the ARG_NAME to VALUE wherever it appears
# in this image's partials
# - [name of another image], which loads the default args from that image
images:
nodev:
create-dockerfile: false
partials:
- python
- tensorflow
- shell
dev:
create-dockerfile: false
partials:
- python
- bazel
- shell
cpu:
desc: Ubuntu-based, CPU-only environment for using TensorFlow
partials:
- ubuntu
- image: nodev
cpu-devel:
desc: >
Ubuntu-based, CPU-only environment for developing changes for
TensorFlow.
partials:
- ubuntu-devel
- image: dev
nvidia:
desc: Ubuntu-based, Nvidia-GPU-enabled environment for using TensorFlow.
arg-defaults:
- TF_PACKAGE: tensorflow-gpu
partials:
- nvidia
- image: nodev
nvidia-devel:
desc: >
Ubuntu-based, Nvidia-GPU-enabled environment for developing changes
for TensorFlow.
arg-defaults:
- TF_PACKAGE: tensorflow-gpu
partials:
- nvidia-devel
- image: dev
cpu-jupyter:
desc: >
Ubuntu-based, CPU-only environment for using TensorFlow, with Jupyter
included.
partials:
- image: cpu
- jupyter
cpu-devel-jupyter:
desc: >
Ubuntu-based, CPU-only environment for developing changes for
TensorFlow, with Jupyter included.
partials:
- image: cpu-devel
- jupyter
nvidia-jupyter:
desc: >
Ubuntu-based, Nvidia-GPU-enabled environment for using TensorFlow, with
Jupyter included.
arg-defaults:
- nvidia
partials:
- image: nvidia
- jupyter
nvidia-devel-jupyter:
desc: >
Ubuntu-based, Nvidia-GPU-enabled environment for developing changes for
TensorFlow, with Jupyter included.
arg-defaults:
- nvidia-devel
partials:
- image: nvidia-devel
- jupyter
|
