title: "Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary."
body: <p>I am following the databricks tutorial on their community edition:</p>
  
  <p><a href="https://docs.databricks.com/applications/deep-learning/deep-learning-pipelines.html#install-deep-learning-pipelines" rel="nofollow noreferrer">https://docs.databricks.com/applications/deep-learning/deep-learning-pipelines.html#install-deep-learning-pipelines</a></p>
  
  <p>attached libraries:</p>
  
  <blockquote>
    <p>spark-deep-learning, tensorflow, keras, h5py, tensorframes</p>
  </blockquote>
  
  <p>when running this cell:</p>
  
  <pre><code>from pyspark.ml.classification import LogisticRegression
  from pyspark.ml import Pipeline
  from sparkdl import DeepImageFeaturizer
  
  featurizer = DeepImageFeaturizer(inputCol="image", outputCol="features", modelName="InceptionV3")
  lr = LogisticRegression(maxIter=20, regParam=0.05, elasticNetParam=0.3, labelCol="label")
  p = Pipeline(stages=[featurizer, lr])
  
  p_model = p.fit(train_df)
  </code></pre>
  
  <p>I am getting this Error:</p>
  
  <pre><code>IllegalArgumentException: u'NodeDef mentions attr \'dilations\' not in Op&lt;name=Conv2D; signature=input:T, filter:T -&gt; output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]&gt;; NodeDef: given/conv2d_95/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true](given/sub_1, given/conv2d_95/kernel/read). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).'
  </code></pre>
  
  <p>*I am stuck please help me out :)</p>