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configuration_act_estimator.py

@@ -25,5 +25,3 @@ class ActEstimatorConfig(PretrainedConfig):
         self.dropout = dropout
         self.feature_map_size = feature_map_size
         super().__init__(**kwargs)
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modeling_act_estimator.py

@@ -15,22 +15,3 @@ class ActEstimator(PreTrainedModel):
 
     def forward(self, frames: Tensor, timestamps: Tensor = None) -> dict[str, Tensor]:
         return self.model(frames, timestamps)
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-# actestimator_config = ActEstimatorConfig.from_pretrained(".")
-# print(actestimator_config.to_dict())
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-# actestimator_model = ActEstimator(actestimator_config)
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-# state_dict = torch.load("ckpt.pth", weights_only=True)
-# actestimator_model.model.load_state_dict(state_dict)
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-# print(actestimator_model)
-# actestimator_model.save_pretrained(".")
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-# model = ActEstimator.from_pretrained(".")
-# print(model(torch.randn(1, 3, 44, 224, 224), torch.randn(1, 44)))
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