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from abc import ABC, abstractmethod
from collections import OrderedDict
class abs_model(ABC):
""" Training Related Interface
"""
@abstractmethod
def setup_input(self, x):
pass
@abstractmethod
def forward(self, x):
pass
@abstractmethod
def supervise(self, input_x, y, is_training:bool)->float:
pass
@abstractmethod
def get_visualize(self) -> OrderedDict:
return {}
""" Inference Related Interface
"""
@abstractmethod
def inference(self, x):
pass
@abstractmethod
def batch_inference(self, x):
pass
""" Logging/Visualization Related Interface
"""
@abstractmethod
def get_logs(self):
pass
""" Getter & Setter
"""
@abstractmethod
def get_models(self) -> dict:
""" GAN may have two models
"""
pass
@abstractmethod
def get_optimizers(self) -> dict:
""" GAN may have two optimizer
"""
pass
@abstractmethod
def set_models(self, models) -> dict:
""" GAN may have two models
"""
pass
@abstractmethod
def set_optimizers(self, optimizers: dict):
""" GAN may have two optimizer
"""
pass
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