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I imagine that they did this in order to be able to use more of (or all of) the TensorFlow functionality available in the Python API without having to rewrite
by sja 10y ago
I imagine that they did this in order to be able to use more of (or all of) the TensorFlow functionality available in the Python API without having to rewrite a huge amount of code in R.
There are Operations in TensorFlow that don't invoke the C++ layer directly. Instead, they are composed of other Operations in Python, meaning that binding directly to the C++ layer would require finding and rewriting that code.
It still gets sent down to the C++ layer at the end of it, though the stack traces might end up looking pretty ridiculous.