報錯

ValueError: Could not find matching function to call loaded from the SavedModel. Got:Positional arguments (3 total):* <_VariantDataset shapes: ((<unknown>, <unknown>, <unknown>, <unknown>), <unknown>), types: ((tf.float32, tf.float32, tf.float32, tf.float32), tf.float32)>* False* NoneKeyword arguments: {}Expected these arguments to match one of the following 4 option(s):Option 1:Positional arguments (3 total):* (TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_1'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_2'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_3'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_4'))* True* NoneKeyword arguments: {}Option 2:Positional arguments (3 total):* (TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/0'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/1'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/2'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/3'))* True* NoneKeyword arguments: {}Option 3:Positional arguments (3 total):* (TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/0'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/1'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/2'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='inputs/3'))* False* NoneKeyword arguments: {}Option 4:Positional arguments (3 total):* (TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_1'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_2'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_3'), TensorSpec(shape=(None, 3, 24, 72), dtype=tf.float32, name='input_4'))* False* NoneKeyword arguments: {}

解決方法

• 檢查輸入是否和訓練時的輸入格式、大小一樣
• 如果輸入有多個元素，采用tuple作為整體輸入

總結

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