Debug Tensorflow: Expected these arguments to match one of the following 4 option(s): 机器学习

报错

ValueError: Could not find matching function to call loaded from the SavedModel. Got: Positional arguments (3 total): * <_VariantDataset shapes: ((, , , ), ), types: ((tf.float32, tf.float32, tf.float32, tf.float32), tf.float32)> * False * None Keyword 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 * None Keyword 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 * None Keyword 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 * None Keyword 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 * None Keyword arguments: {}

解决方法

检查输入是否和训练时的输入格式、大小一样
如果输入有多个元素，采用tuple作为整体输入

Debug Tensorflow: Expected these arguments to match one of the following 4 option(s):

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