2016-10-04 06:02:29 +03:00
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# Torch-CPU
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This recipe shows how to run [Torch](http://torch.ch/) on
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a single node using CPU only.
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## Configuration
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Please see refer to this [set of sample configuration files](./config) for
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this recipe.
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### Pool Configuration
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The pool configuration should enable the following properties:
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* `max_tasks_per_node` must be set to 1 or omitted
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Other pool properties such as `publisher`, `offer`, `sku`, `vm_size` and
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`vm_count` should be set to your desired values.
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### Global Configuration
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The global configuration should set the following properties:
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* `docker_images` array must have a reference to a valid Torch CPU-enabled
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Docker image. [alfpark/torch:cpu](https://hub.docker.com/r/alfpark/torch/) can
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be used for this recipe.
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### Jobs Configuration
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The jobs configuration should set the following properties within the `tasks`
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array which should have a task definition containing:
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* `image` should be the name of the Docker image for this container invocation,
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e.g., `alfpark/torch:cpu`
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* `command` should contain the command to pass to the Docker run invocation.
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For the `alfpark/torch:cpu` Docker image and to run the MNIST convolutional
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2017-09-27 18:41:00 +03:00
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example, the [`run_mnist.sh` helper script](docker/run_mnist.sh) is used.
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The `command` should be: `"/root/torch/run_mnist.sh"`
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2016-10-04 06:02:29 +03:00
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## Dockerfile and supplementary files
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The `Dockerfile` for the Docker image can be found [here](./docker).
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You must agree to the [Torch License](https://github.com/torch/torch7/blob/master/COPYRIGHT.txt)
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prior to use.
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