April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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Under the hood working of XLA
So XLA takes an input language called HLO IR or just High-Level Optimizer (HLO). So XLA takes a graph defined in this HLO and then compiles it into machine instructions for different architectures.
The following diagram shows the compilation process in XLA:
Figure 4: XLA compilation process (Source: https://www.tensorflow.org/images/how-does-xla-work.png)
As we discussed earlier, that TensorFlow uses HLO in order to provide target-independent code, so in this step TensorFlow is only trying to optimize your program without any target constraints, then TensorFlow uses another HLO in order to emit target dependent ...
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