Question

我试图运行this code，但收到以下错误：

Using TensorFlow backend.
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
Model loaded.
Traceback (most recent call last):
  File "classifier_from_little_data_script_3.py", line 64, in <module>
    top_model.add(Flatten(input_shape=model.output_shape[1:]))
  File "C:\Python35\lib\site-packages\keras\models.py", line 430, in add
    layer(x)
  File "C:\Python35\lib\site-packages\keras\engine\topology.py", line 583, in __call__
    output_shape = self.compute_output_shape(input_shape)
  File "C:\Python35\lib\site-packages\keras\layers\core.py", line 488, in compute_output_shape
    '(got ' + str(input_shape[1:]) + '. '
ValueError: The shape of the input to "Flatten" is not fully defined (got (None, None, 512). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.

我该如何解决这个问题？

感谢。

Answer 1

如果其他人遇到类似的问题，并且想知道为什么会引发相关错误，我会向@Simplicity's answer添加更多详细信息：

如keras documentation所述，截至本文撰写时，Keras有两个后端Theano和Tensorflow。 Theano和Tensorflow数据/图像具有不同的维度顺序。这个排序如下：

TensorFlow：[批次，宽度，高度，通道]

Theano：[批次，渠道，宽度，高度]

如果您要使用Tensorflow订购（如OP的情况），您必须：

在keras.json配置文件（在Ubuntu的~/.keras/keras.json中找到）中指定此项。例如，要使用Theano运行，请在keras.json配置文件中添加以下行：
```
"image_dim_ordering": "th" 

"backend": "theano" 
```

指定您将在代码中使用的相关后端，例如：

from keras import backend as K
K.set_image_dim_ordering('th')

OP正在使用Tensorflow，因此他/她需要确保数据的格式为[batch, width, height, channels]，因此您必须将输入张量的定义更改为：

input_tensor = Input(shape=(150,150,3))

模型为：

model = applications.VGG16(weights='imagenet', include_top=False, input_tensor=input_tensor)

如果OP使用Theano后端，则输入张量必须定义为：

input_tensor = Input(shape=(3, 150, 150))

- 在这种情况下，通道是第一个参数。

模型的定义方式与：

model = applications.VGG16(weights='imagenet', include_top=False, input_tensor=input_tensor)

重申一下;我只是简单地说明了为什么/如何@ Simplicity的答案对他起作用。

我希望这有助于某人:)。

来源：

Answer 2

根据@ umutto的评论，这些是解决问题的变化：

input_tensor = Input(shape=(150,150,3))
# build the VGG16 network
model = applications.VGG16(weights='imagenet', include_top=False, input_tensor=input_tensor)

Answer 3

我也遇到了同样的错误，即使更改了keras.backend和image_dim_ordering后也没有修复。似乎错误发生在应该写入pool_size参数的Maxpool层中。而不是：

model.add(MaxPooling2D(pool_size=(2, 2)))

应该是这样的：

 <div class="col-md-4">
 <div class="form-group">
 <label for="field-2" class="control-label">Dropdown</label>
 <select class="form-control selectpicker" multiple data-selected-text-format="count" data-live-search="true" data-style="btn-white" id="lstdrpdwn" name="lstdrpdwn">
 </select>
 </div>
 </div>

Answer 4

当我遇到此错误时，是因为我没有指定我正在使用的经过预先训练的模型的input_tensor或input_shape，类似于@Simplicity。

ValueError：＆＃34; Flatten＆＃34;的输入形状。没有完全定义

4 个答案: