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from abc import ABC, abstractmethod |
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from typing import TypeAlias |
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import numpy as np |
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import torch |
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from tianshou.highlevel.env import Environments |
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TDevice: TypeAlias = str | torch.device |
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def init_linear_orthogonal(module: torch.nn.Module) -> None: |
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"""Applies orthogonal initialization to linear layers of the given module and sets bias weights to 0. |
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:param module: the module whose submodules are to be processed |
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""" |
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for m in module.modules(): |
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if isinstance(m, torch.nn.Linear): |
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torch.nn.init.orthogonal_(m.weight, gain=np.sqrt(2)) |
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torch.nn.init.zeros_(m.bias) |
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class ModuleFactory(ABC): |
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"""Represents a factory for the creation of a torch module given an environment and target device.""" |
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@abstractmethod |
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def create_module(self, envs: Environments, device: TDevice) -> torch.nn.Module: |
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pass |
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