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https://github.com/hadim/docker-tensorflow-builder
Docker images to compile TensorFlow yourself.
https://github.com/hadim/docker-tensorflow-builder
docker docker-image tensorflow
Last synced: 3 months ago
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Docker images to compile TensorFlow yourself.
- Host: GitHub
- URL: https://github.com/hadim/docker-tensorflow-builder
- Owner: hadim
- License: mit
- Archived: true
- Created: 2018-06-01T21:19:07.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-28T11:04:56.000Z (about 5 years ago)
- Last Synced: 2024-08-01T15:33:08.998Z (6 months ago)
- Topics: docker, docker-image, tensorflow
- Language: Shell
- Size: 88.9 KB
- Stars: 163
- Watchers: 7
- Forks: 50
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Compile Tensorflow on Docker
Docker images to compile TensorFlow yourself.
Tensorflow only provide a limited set of build and it can be challenging to compile yourself on certain configuration. With this `Dockerfile`, you should be able to compile TensorFlow on any Linux platform that run Docker.
Compilation images are provided for Ubuntu 18.10, Ubuntu 16.04, CentOS 7.4 and CentOS 6.6.
## Requirements
- `docker`
- `docker-compose`
## Usage
- Clone this repository:
```bash
git clone https://github.com/hadim/docker-tensorflow-builder.git
```
### TensoFlow CPU
- Edit the `build.sh` file to modify TensorFlow compilation parameters. Then launch the build:
```bash
LINUX_DISTRO="ubuntu-16.04"
# or LINUX_DISTRO="ubuntu-18.10"
# or LINUX_DISTRO="centos-7.4"
# or LINUX_DISTRO="centos-6.6"
cd "tensorflow/$LINUX_DISTRO"
# Set env variables
export PYTHON_VERSION=3.6
export TF_VERSION_GIT_TAG=v1.13.1
export BAZEL_VERSION=0.19
export USE_GPU=0
# Build the Docker image
docker-compose build
# Start the compilation
docker-compose run tf
# You can also do:
# docker-compose run tf bash
# bash build.sh
```
### TensorFlow GPU
- Edit the `build.sh` file to modify TensorFlow compilation parameters. Then launch the build:
```bash
LINUX_DISTRO="ubuntu-16.04"
# or LINUX_DISTRO="ubuntu-18.10"
# or LINUX_DISTRO="centos-7.4"
# or LINUX_DISTRO="centos-6.6"
cd "tensorflow/$LINUX_DISTRO"
# Set env variables
export PYTHON_VERSION=3.6
export TF_VERSION_GIT_TAG=v1.13.1
export BAZEL_VERSION=0.19
export USE_GPU=1
export CUDA_VERSION=10.0
export CUDNN_VERSION=7.5
export NCCL_VERSION=2.4
# Build the Docker image
docker-compose build
# Start the compilation
docker-compose run tf
# You can also do:
# docker-compose run tf bash
# bash build.sh
```
---
- Refer to [tested build configurations](https://www.tensorflow.org/install/source#tested_build_configurations) to know which `BAZEL_VERSION` you need.
- Be patient, the compilation can be long.
- Enjoy your Python wheels in the `wheels/` folder.
- *Don't forget to remove the container to free the space after the build: `docker-compose rm --force`.*
## Builds
| Tensorflow | Python | Distribution | Bazel | CUDA | cuDNN | NCCL | Comment |
| --- | --- | --- | --- | --- | --- | --- | --- |
| v2.0.0-alpha0 | 3.6 | Ubuntu 18.10 | 0.20 | 10.0 | 7.5 | 2.4 | seg fault error |
| v2.0.0-alpha0 | 3.6 | Ubuntu 18.10 | 0.20 | - | - | - | OK |
| v2.0.0-alpha0 | 3.6 | Ubuntu 16.04 | 0.20 | 10.0 | 7.5 | 2.4 | TODO |
| v2.0.0-alpha0 | 3.6 | Ubuntu 16.04 | 0.20 | - | - | - | TODO |
| 1.9.0 | 3.6 | Ubuntu 16.04 | - | - | 0.19 | - | OK |
| 1.9.0 | 3.6 | Ubuntu 16.04 | 9.0 | 0.19 | 7.1 | - | OK |
| 1.9.0 | 3.6 | Ubuntu 16.04 | 9.1 | 0.19 | 7.1 | - | OK |
| 1.9.0 | 3.6 | Ubuntu 16.04 | 9.2 | 0.19 | 7.1 | - | OK |
| 1.9.0 | 3.6 | CentOS 6.6 | - | - | 0.19 | - | OK |
| 1.9.0 | 3.6 | CentOS 6.6 | 9.0 | 0.19 | 7.1 | - | OK |
| 1.9.0 | 3.6 | CentOS 6.6 | 9.1 | 0.19 | 7.1 | - | OK |
| 1.9.0 | 3.6 | CentOS 6.6 | 9.2 | 0.19 | 7.1 | - | OK |
## Authors
- Hadrien Mary
## License
MIT License. See [LICENSE](LICENSE).