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ai: add missing arguments to LossContrastive
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2 changed files with 3 additions and 3 deletions
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@ -57,7 +57,7 @@ class RainfallWaterContraster(object):
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def make_model(self):
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model = model_rainfallwater_contrastive(**self.kwargs)
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model = model_rainfallwater_contrastive(batch_size=self.batch_size, **self.kwargs)
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return model
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@ -6,7 +6,7 @@ from .components.LayerContrastiveEncoder import LayerContrastiveEncoder
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from .components.LayerCheeseMultipleOut import LayerCheeseMultipleOut
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from .components.LossContrastive import LossContrastive
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def model_rainfallwater_contrastive(shape_rainfall, shape_water, feature_dim=2048):
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def model_rainfallwater_contrastive(shape_rainfall, shape_water, batch_size=64, feature_dim=2048):
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logger.info(shape_rainfall)
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logger.info(shape_water)
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@ -48,5 +48,5 @@ def model_rainfallwater_contrastive(shape_rainfall, shape_water, feature_dim=204
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model.compile(
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optimizer="Adam",
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loss=LossContrastive(weight_temperature=weight_temperature)
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loss=LossContrastive(batch_size=batch_size, weight_temperature=weight_temperature)
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)
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