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| from __future__ import annotations |
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| import torch.nn as nn |
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| from .modules import BaseModule |
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| class Estimator(nn.Module): |
| def __init__(self, obs_dim_dict, module_config_dict): |
| super(Estimator, self).__init__() |
| self.module = BaseModule(obs_dim_dict, module_config_dict) |
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| def forward(self, obs_history): |
| return self.module(obs_history) |
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| class Encoder(nn.Module): |
| def __init__(self, obs_dim_dict, module_config_dict, module_dim_dict={}): |
| super(Encoder, self).__init__() |
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| self.module = BaseModule(obs_dim_dict, module_config_dict, module_dim_dict) |
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| def forward(self, encoder_obs): |
| return self.module(encoder_obs) |
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