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https://github.com/sbrl/research-rainfallradar
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fix debug logging
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1 changed files with 2 additions and 2 deletions
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@ -38,7 +38,7 @@ def model_rainfallwater_mono(metadata, shape_water_out, model_arch_enc="convnext
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arch_name = model_arch_enc
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arch_name = model_arch_enc
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)(layer_input)
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)(layer_input)
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print("DEBUG:model ENCODER output_shape", layer_next.shape)
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print("DEBUG:model ENCODER output_shape", layer_next.output_shape)
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# BOTTLENECK
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# BOTTLENECK
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layer_next = tf.keras.layers.Dense(name="cns.stage.bottleneck.dense2", units=feature_dim)(layer_input)
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layer_next = tf.keras.layers.Dense(name="cns.stage.bottleneck.dense2", units=feature_dim)(layer_input)
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@ -50,7 +50,7 @@ def model_rainfallwater_mono(metadata, shape_water_out, model_arch_enc="convnext
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layer_next = LayerStack2Image(target_width=4, target_height=4)(layer_next)
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layer_next = LayerStack2Image(target_width=4, target_height=4)(layer_next)
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# layer_next = tf.keras.layers.Reshape((4, 4, math.floor(feature_dim_in/(4*4))), name="cns.stable_begin.reshape")(layer_next)
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# layer_next = tf.keras.layers.Reshape((4, 4, math.floor(feature_dim_in/(4*4))), name="cns.stable_begin.reshape")(layer_next)
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print("DEBUG:model BOTTLENECK:stack2image output_shape", layer_next.shape)
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print("DEBUG:model BOTTLENECK:stack2image output_shape", layer_next.output_shape)
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layer_next = tf.keras.layers.Dense(name="cns.stage.begin.dense2", units=feature_dim)(layer_next)
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layer_next = tf.keras.layers.Dense(name="cns.stage.begin.dense2", units=feature_dim)(layer_next)
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layer_next = tf.keras.layers.Activation(name="cns.stage_begin.relu2", activation="gelu")(layer_next)
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layer_next = tf.keras.layers.Activation(name="cns.stage_begin.relu2", activation="gelu")(layer_next)
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