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ai: channels_first → channels_last
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@ -11,7 +11,7 @@ def model_rainfallwater_contrastive(shape_rainfall, shape_water, batch_size=64,
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logger.info(shape_water)
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# Shapes come from what rainfallwrangler sees them as, but we add an extra dimension when reading the .tfrecord file
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rainfall_width, rainfall_height, rainfall_channels = shape_rainfall # shape = [width, height, channels]
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rainfall_channels, rainfall_width, rainfall_height = shape_rainfall # shape = [channels, width, height]
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water_width, water_height = shape_water # shape = [width, height]
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water_channels = 1 # added in dataset → make_dataset → parse_item
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