dennyglee / databricks Goto Github PK

Hi Denny,

(Sorry for the re-post)

I am trying the TensorFrames Quick Start.ipynb and am running into some issues. Already have TensorFlow on the system:

!pip show tensorflow  

Name: tensorflow
Version: 0.9.0
Summary: TensorFlow helps the tensors flow
...

In addition, have added the following jars to be picked up by the kernel:

tensorframes-0.2.8-s_2.11.jar
scala-logging-slf4j_2.11-2.1.2.jar
scala-logging-api_2.11-2.1.2.jar

But the following section fails with "RuntimeError: maximum recursion depth exceeded in cmp":

with tf.Graph().as_default() as g:
    # The TensorFlow placeholder that corresponds to column 'x'.
    # The shape of the placeholder is automatically inferred from the DataFrame.
    x = tfs.block(df, "x")
    
    # The output that adds y to x
    z = tf.add(x, 3, name='z')
    
    # The resulting dataframe
    df2 = tfs.map_blocks(z, df)

# Note that `z` is the tensor output from the `tf.add` operation
print z

I tried setting the recursion limit to 10000, but it still fails, so not sure what I may be missing. Any thoughts to resolve this is greatly appreciated!

Thanks,
Rajesh

path of code -->databricks/notebooks/Users/[email protected]/examples/Flights Graph with Spark and DocumentDB.scala

import azure.spark.docdb._
import azure.spark.docdb.config._
import azure.spark.docdb.config.DocdbConfig._ all these imports are throwing me error

Could you please help me with that repository or jar that i need to include as soon as possible

Thanks in adavance