# anaconda3

**Repository Path**: hallc/anaconda3

## Basic Information

- **Project Name**: anaconda3
- **Description**: Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-04
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<div align="center">
  <a href="https://hub.docker.com/r/okwrtdsh/anaconda3/"><img src="https://raw.githubusercontent.com/okwrtdsh/anaconda3/img/small.png"></a><br>
</div>

# anaconda3 [![](https://img.shields.io/docker/stars/okwrtdsh/anaconda3.svg)![](https://img.shields.io/docker/pulls/okwrtdsh/anaconda3.svg)![](https://img.shields.io/docker/automated/okwrtdsh/anaconda3.svg)![](https://img.shields.io/docker/build/okwrtdsh/anaconda3.svg)](https://hub.docker.com/r/okwrtdsh/anaconda3/)
Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning

## Available tags
### Anaconda3, Jupyter, OpenCV3

| Tag | Size / Layers | CUDA Toolkit (Linux x86_64 / Windows x86_64) | CUDNN |
|:-:|:-:|:-:|:-:|
| `latest`, `cpu` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3.svg)](https://microbadger.com/images/okwrtdsh/anaconda3) | - | - |
| `10.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:10.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:10.0-cudnn7) | CUDA 10.0 ( >= 410.48 / 411.31 ) | 7 |
| `9.2-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:9.2-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:9.2-cudnn7) | CUDA 9.2 ( >= 396.26 / 397.44 ) | 7 |
| `9.1-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:9.1-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:9.1-cudnn7) | CUDA 9.1 ( >= 387.26 / 388.19 ) | 7 |
| `9.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:9.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:9.0-cudnn7) | CUDA 9.0 ( >= 384.81 / 385.54 ) | 7 |
| `8.0-cudnn6` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:8.0-cudnn6.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:8.0-cudnn6) | CUDA 8.0 ( >= 375.26 / 376.51 ) | 6 |

### Tensorflow

| Tag | Size / Layers | Base | Tensorflow |
|:-:|:-:|:-:|:-:|
| `tf-cpu`, `tf` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:tf-cpu.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:tf-cpu) | `cpu` | 1.12.0 |
| `tf-10.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:tf-10.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:tf-10.0-cudnn7) | `10.0-cudnn7` | 1.12.0 |
| `tf-9.2-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:tf-9.2-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:tf-9.2-cudnn7) | `9.2-cudnn7` | 1.12.0 |
| `tf-9.1-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:tf-9.1-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:tf-9.1-cudnn7) | `9.1-cudnn7` | 1.7.0 |
| `tf-9.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:tf-9.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:tf-9.0-cudnn7) | `9.0-cudnn7` | 1.7.0 |
| `tf-8.0-cudnn6` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:tf-8.0-cudnn6.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:tf-8.0-cudnn6) | `8.0-cudnn6` | 1.4.1 |

### Keras (Tensorflow Backend)

| Tag | Size / Layers | Base | Tensorflow | Keras |
|:-:|:-:|:-:|:-:|:-:|
| `keras-cpu`, `keras` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-cpu.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-cpu) | `tf-cpu` | 1.12.0 | 2.2.4 |
| `keras-10.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-10.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-10.0-cudnn7) | `tf-10.0-cudnn7` | 1.12.0 | 2.2.4 |
| `keras-9.2-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-9.2-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-9.2-cudnn7) | `tf-9.2-cudnn7` | 1.12.0 | 2.2.4 |
| `keras-9.1-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-9.1-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-9.1-cudnn7) | `tf-9.1-cudnn7` | 1.7.0 | 2.1.5 |
| `keras-9.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-9.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-9.0-cudnn7) | `tf-9.0-cudnn7` | 1.7.0 | 2.1.5 |
| `keras-8.0-cudnn6` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:keras-8.0-cudnn6.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:keras-8.0-cudnn6) | `tf-8.0-cudnn6` | 1.4.1 | 2.1.3 |

### Pytorch

| Tag | Size / Layers | Base | Pytorch |
|:-:|:-:|:-:|:-:|
| `pytorch-cpu`, `pytorch` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:pytorch-cpu.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:pytorch-cpu) | `cpu` | 1.0.0 |
| `pytorch-10.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:pytorch-10.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:pytorch-10.0-cudnn7) | `10.0-cudnn7` | 1.0.0 |
| `pytorch-9.2-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:pytorch-9.2-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:pytorch-9.2-cudnn7) | `9.2-cudnn7` | 1.0.0 |
| `pytorch-9.1-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:pytorch-9.1-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:pytorch-9.1-cudnn7) | `9.1-cudnn7` | 1.0.0 |
| `pytorch-9.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:pytorch-9.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:pytorch-9.0-cudnn7) | `9.0-cudnn7` | 1.0.0 |
| `pytorch-8.0-cudnn6` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:pytorch-8.0-cudnn6.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:pytorch-8.0-cudnn6) | `8.0-cudnn6` | 1.0.0 |

### Mxnet

| Tag | Size / Layers | Base | Mxnet |
|:-:|:-:|:-:|:-:|
| `mxnet-cpu`, `mxnet` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:mxnet-cpu.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:mxnet-cpu) | `cpu` | mxnet |
| `mxnet-10.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:mxnet-10.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:mxnet-10.0-cudnn7) | `10.0-cudnn7` | mxnet-cu100 |
| `mxnet-9.2-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:mxnet-9.2-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:mxnet-9.2-cudnn7) | `9.2-cudnn7` | mxnet-cu92 |
| `mxnet-9.1-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:mxnet-9.1-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:mxnet-9.1-cudnn7) | `9.1-cudnn7` | mxnet-cu91 |
| `mxnet-9.0-cudnn7` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:mxnet-9.0-cudnn7.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:mxnet-9.0-cudnn7) | `9.0-cudnn7` | mxnet-cu90 |
| `mxnet-8.0-cudnn6` | [![](https://images.microbadger.com/badges/image/okwrtdsh/anaconda3:mxnet-8.0-cudnn6.svg)](https://microbadger.com/images/okwrtdsh/anaconda3:mxnet-8.0-cudnn6) | `8.0-cudnn6` | mxnet-cu80 |


## How to Use

### CPU
1. Run with docker (image: `okwrtdsh/anaconda3:keras-cpu`)
```bash
$ docker run -v $(pwd):/src/notebooks -p 8888:8888 -td okwrtdsh/anaconda3:keras-cpu
```
2. Open `http://localhost:8888` in web browser

### GPU
1. Run with nvidia-docker (image: `okwrtdsh/anaconda3:keras-10.0-cudnn7`)
```bash
$ nvidia-docker run -v $(pwd):/src/notebooks -p 8888:8888 -td okwrtdsh/anaconda3:keras-10.0-cudnn7
```
2. Open `http://localhost:8888` in web browser

### CPU (docker-compose)
1. docker-compose.yml (image: `okwrtdsh/anaconda3:keras-cpu`)
```yml
version: '3'
services:
  jupyter:
    image: okwrtdsh/anaconda3:keras-cpu
    ports:
      - '8888:8888'
    volumes:
      - ./notebooks:/src/notebooks
```
2. Run with docker-compose
```bash
$ docker-compose up -d
```
3. Open `http://localhost:8888` in web browser

### GPU (docker-compose)
1. docker-compose.yml (image: `okwrtdsh/anaconda3:keras-10.0-cudnn7`)
```yml
version: '3'
services:
  jupyter:
    image: okwrtdsh/anaconda3:keras-10.0-cudnn7
    ports:
      - '8888:8888'
    volumes:
      - ./notebooks:/src/notebooks
```
2. Run with nvidia-docker
```bash
# Run with nvidia-docker-compose (nvidia-docker v1)
$ nvidia-docker-compose up -d
# Run with docker-compose (nvidia-docker v2)
$ docker-compose up -d
```
3. Open `http://localhost:8888` in web browser

#### [PyTorch](https://github.com/pytorch/pytorch#docker-image)
> Please note that PyTorch uses shared memory to share data between processes, so if torch multiprocessing is used (e.g. for multithreaded data loaders) the default shared memory segment size that container runs with is not enough, and you should increase shared memory size either with `--ipc=host` or `--shm-size` command line options to nvidia-docker run.

##### nvidia-docker
```bash
$ nvidia-docker run --ipc=host -v $(pwd):/src/notebooks -p 8888:8888 -td okwrtdsh/anaconda3:pytorch-10.0-cudnn7
```

##### docker-compose
```yml
version: '3'
services:
  jupyter:
    image: okwrtdsh/anaconda3:pytorch-10.0-cudnn7
    ipc: host
    ports:
      - '8888:8888'
    volumes:
      - ./notebooks:/src/notebooks
```

```bash
# Run with nvidia-docker-compose (nvidia-docker v1)
$ nvidia-docker-compose up -d
# Run with docker-compose (nvidia-docker v2)
$ docker-compose up -d
```