nip.graph_isomorphism.agents.GraphIsomorphismDummyAgentPart#
- class nip.graph_isomorphism.agents.GraphIsomorphismDummyAgentPart(*args, **kwargs)[source]#
Base class for all graph isomorphism dummy agent parts.
Methods Summary
__init__
(hyper_params, settings, agent_name, ...)Initialize internal Module state, shared by both nn.Module and ScriptModule.
Initialise the module weights.
_run_recorder_hook
(hooks, hook_name, output)forward
(data)Forward pass through the agent part.
Get the state of the agent part as a dict.
set_state
(checkpoint)Set the state of the agent from a checkpoint.
to
(device)Move the agent to the given device.
Attributes
T_destination
agent_id
The ID of the agent.
agent_level_in_keys
agent_level_out_keys
call_super_init
dump_patches
env_level_in_keys
env_level_out_keys
in_keys
The keys required by the module.
is_prover
Whether the agent is a prover.
is_verifier
Whether the agent is a verifier.
max_message_rounds
The maximum number of message rounds in the protocol.
num_visible_message_channels
The number of message channels visible to the agent.
out_keys
The keys produced by the module.
out_keys_source
required_pretrained_models
The pretrained models used by the agent.
visible_message_channel_indices
The indices of the message channels visible to the agent.
visible_message_channel_mask
The mask for the message channels visible to the agent.
visible_message_channel_names
The names of the message channels visible to the agent.
agent_params
training
Methods
- __init__(hyper_params: HyperParameters, settings: ExperimentSettings, agent_name: str, protocol_handler: ProtocolHandler)[source]#
Initialize internal Module state, shared by both nn.Module and ScriptModule.
- abstract forward(data: Any) Any [source]#
Forward pass through the agent part.
- Parameters:
data (Any) – The input to the agent part.
- Returns:
output (Any) – The output of the forward pass on the input.
- get_state_dict() dict [source]#
Get the state of the agent part as a dict.
This method should be implemented by subclasses capable of saving their state.
- Returns:
state_dict (dict) – The state of the agent part.
- set_state(checkpoint: AgentState)[source]#
Set the state of the agent from a checkpoint.
This method should be overridden by subclasses to restore the state of the agent from a checkpoint.
- Parameters:
checkpoint (AgentCheckpoint) – The checkpoint to restore the state from.