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📈 TensorFlow + Matplotlib as TF ops

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The following KeyError might happen during the execution (e.g. `sess.run()`) of plot functions, where an exception is thrown outside: ``` KeyError: (1.0, 0.01, '0.010', 'black', 'center_baseline', 'left', -1142507319491788459, None, None,...

bug

GIL sucks. One alternative way to make it much faster would be to serialize the function body (what if it contains closure?) and execute the function in a multiprocess fashion...

* API Changes * Eager mode

Provide off-the-shelf plotting utilities in `tfplot.contrib` package. * [x] batch wrapper (a7cd188) * [x] heatmap (a7cd188)

new feature