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

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