Device Management - fedml device

Name	Default	Description
`--version` or `-v`	`release`	Bind to which backend environment version of TensorOpera AI Platform. It should be dev, test, or release.
`--computing` or `-c`	`true`	Bind as the general compute node in TensorOpera AI compute network. This is enabled by default. After binding, you can view and manage the device in the TensorOpera AI Platform: https://tensoropera.ai/compute. It can be grouped as a cluster and then you can use TensorOpera®Launch to schedule any job (training, deployment,federated learning) to it. You can not specify the option `-c` and `-s` simultaneously.
`--server` or `-s`	`false`	Bind as the FedML on-premise parameter server (PS). It can be used for PS-based training paradigms, such as distributed training, cross-cloud training, and federated-learning. You can not specify the option `-c` and `-s` simultaneously for a single environment.
`--provider` or `-p`	`false`	Bind as the FedML compute node (GPU) provider (supplier). This is used by TensorOpera AI Platform - Share and Earn: https://tensoropera.ai/gpu-supplier. You can share your GPUs in this way and earn money. You can specify the option `-p` and `-c` simultaneously (can be used as provider for others as well compute node for your own jobs), but you can not specify `-p` and `-s` simultaneously.

Name	Default	Description
`API_KEY`	required, no default value	You can find your API Key at https://tensoropera.ai. Click your avatar on top-right area and then click "Profile".

Bind as a general compute node in TensorOpera AI Cloud:

fedml device bind <API_KEY>

Bind as a federated-learning server in TensorOpera AI Cloud:

fedml device bind -s <API_KEY>

Bind as the compute node (GPU) provider (supplier) in TensorOpera AI Cloud:

fedml device bind -p <API_KEY>

Name	Default	Description
`--compute_node` or `-c`	`true`	Unbind from the FedML general compute node.
`--server` or `-s`	`false`	Unbind from the the FedML on-premise parameter server (PS).
`--version` or `-v`	`release`	Unbind which backend environment version of TensorOpera AI Platform. It should be dev, test, or release.

Unbind from a general compute node in TensorOpera AI Cloud:

fedml device unbind -c

Unbind from a federated learning server in TensorOpera AI Cloud:

fedml device unbind -s