输入形状为[？，1,240,135,512]的'max_pooling3d_10 / MaxPool3D'（op：'MaxPool3D'）从1中减去2导致的负尺寸大小。

Question

InvalidArgumentError                      Traceback (most recent call last)
~\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
   1863   try:
-> 1864     c_op = c_api.TF_FinishOperation(op_desc)
   1865   except errors.InvalidArgumentError as e:

InvalidArgumentError: Negative dimension size caused by subtracting 2 from 1 for 'max_pooling3d_37/MaxPool3D' (op: 'MaxPool3D') with input shapes: [?,1,240,135,512].

在处理上述异常期间，发生了另一个异常：

ValueError                                Traceback (most recent call last)
<ipython-input-20-b2b323640e12> in <module>
     12 model.add(tf.keras.layers.Conv3D(512 , kernel_size = (3,3,3) ,strides = (1,1,1) , padding = 'same' , activation = 'relu'))
     13 model.add(tf.keras.layers.Conv3D(512 , kernel_size = (3,3,3) ,strides = (1,1,1) , padding = 'same' , activation = 'relu'))
---> 14 model.add(tf.keras.layers.MaxPooling3D(pool_size = (2,2,2) , strides = (2,2,2)))
     15 model.add(tf.keras.layers.Conv3D(1024 , kernel_size = (3,3,3) ,strides = (1,1,1) , padding = 'same' , activation = 'relu'))
     16 model.add(tf.keras.layers.Conv3D(1024 , kernel_size = (3,3,3) ,strides = (1,1,1) , padding = 'same' , activation = 'relu'))

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Answer 1

我认为您输入的尺寸可能不正确，或者框架尺寸不够大。输入数据形状有误。