November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Understanding the architecture of TensorFlowOnSpark
The following diagram depicts the architecture of TFoS. We can see that TFoS does not involve Spark drivers in tensor communication, giving the same scalability as standalone TensorFlow clusters:
TFoS provides two input modes to take in data for training and inference:
- Spark RDD: Spark RDD data is fed to each Spark executor. The executor, in turn, feeds the data to the TensorFlow graph using feed_dict. However, in this mode, TensorFlow worker failures stay hidden from Spark.
- TensorFlow QueueRunners: Here, the TensorFlow worker runs in the foreground. TFoS takes advantage of the TensorFlow ...
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