pai/examples/keras/README.md

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# Keras on OpenPAI
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This guide introduces how to run [Keras](http://keras.io/) job on OpenPAI.
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The following contents show some basic Keras examples, other customized Keras code can be run similarly.
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## Keras tensorflow backend MNIST digit recognition examples
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To run Keras examples in OpenPAI, you need to prepare a job configuration file and submit it through webportal.
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OpenPAI packaged the docker env required by the job for user to use. User could refer to [DOCKER.md](./DOCKER.md) to customize this example docker env. If user have built a customized image and pushed it to Docker Hub, replace our pre-built image `pai.example.keras.tensorflow` with your own.
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Here're some configuration file examples:
### [mnist_tensorflow_backend](https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py)
```json
{
"jobName": "keras_tensorflow_backend_mnist",
"image": "openpai/pai.example.keras.tensorflow",
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"taskRoles": [
{
"name": "mnist",
"taskNumber": 1,
"cpuNumber": 4,
"memoryMB": 8192,
"gpuNumber": 1,
"command": "python mnist_cnn.py"
}
]
}
```
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## Keras cntk backend MNIST digit recognition examples
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### [mnist_cntk_backend](https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py)
```json
{
"jobName": "keras_cntk_backend_mnist",
"image": "openpai/pai.example.keras.cntk",
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"taskRoles": [
{
"name": "mnist",
"taskNumber": 1,
"cpuNumber": 4,
"memoryMB": 8192,
"gpuNumber": 1,
"command": "python mnist_cnn.py"
}
]
}
```
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For more details on how to write a job configuration file, please refer to [job tutorial](../../docs/job_tutorial.md#json-config-file-for-job-submission).
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### Note:
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Since PAI runs Keras jobs in Docker, the training speed on PAI should be similar to speed on host.
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We provide two stable docker images by adding the data to the images. If you want to use them, add `stable` tag to the image name: `openpai/pai.example.keras.cntk:stable` or `openpai/pai.example.keras.tensorflow:stable`.