Testnet Tensor
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  • Run A Subnet Node
    • Getting Started
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      • Running on AMD GPU
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    • Generate Keypair
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    • Add
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    • Activate
    • Update Delegate Reward Rate
    • Deactivate
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  • Delegate Staking
    • Introduction
    • Add Delegate Stake
    • Transfer Delegate Stake
    • Remove Delegate Stake
    • Claim Delegate Stake
  • Node Delegate Staking
    • Introduction
    • Add Node Delegate Stake
    • Transfer Node Delegate Stake
    • Remove Node Delegate Stake
    • Claim Node Delegate Stake
  • Delegate Staking Utils
    • Introduction
    • Subnet to Node
    • Node to Subnet
  • Build a Subnet
    • Introduction
    • DSN Standard
    • Subnet Consensus Protocol (SCP)
      • Incentives
      • Accounting
      • Proposals
    • Subnet
      • Registration
      • Activation
      • Deactivation
    • Subnet Nodes
      • Registration
      • Activation
      • Deactivate
  • Contribute
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  1. Run A Subnet Node

Deactivate

Deactivate has not been implemented yet.

Deactivation flow depends on the following scenarios:

  • Attested Validator Submission: You will be deactivated on the following epoch following the rewards distributions.

  • Unnattested Validator Submission: You will be deactivated immediately.

Following the deactivation, the subnet node will have 16 epochs to reactivate it.


Note

  • The Validator classification can be deactivated only.

  • On re-activation, the subnet node will be classified as a Validator node again

python -m subnet.cli.hypertensor.subnet_node.deactivate --subnet_id [int]
python -m subnet.cli.hypertensor.subnet_node.deactivate --subnet_id 1

Parameters:

--subnet_id: The ID of the subnet. This can be checked by querying the model path through the SubnetPaths storage element.

--local: (Optional) Argument for local testing to use the LOCAL_RPC environment variables.

This will:

  • This will temporarily deactivate your subnet node back to the "registration" classification.

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Last updated 3 months ago