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ai: call .predict(), not the model itself
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@ -88,7 +88,7 @@ class RainfallWaterContraster(object):
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i_batch = -1
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i_batch = -1
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for batch in dataset:
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for batch in dataset:
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i_batch += 1
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i_batch += 1
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rainfall = self.model_predict(batch) # ((rainfall, water), dummy_label)
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rainfall = self.model_predict.predict(batch) # ((rainfall, water), dummy_label)
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for step in tf.unstack(rainfall, axis=0):
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for step in tf.unstack(rainfall, axis=0):
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yield step
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yield step
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