tensorflow - Is it possible to precompile graphs then run in parallel? -

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i following cs224d code recursive neural networks (see: http://cs224d.stanford.edu/syllabus.html pset 3 solutions)

how code works new graph compiled each training example since each tree has different shape, suboptimal running minibatches, etc. have similar recursive graph larger input, need solution more parallelizable.

i have idea precompile graphs , load them asynchronously along data gpu, similar how queue works. offload minibatch of results, compute combined gradients, back-propagate. idea can account variable input, , take advantage of gpu (have cake , eat too).

is feasible?


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