Converting clip with a min value of 0 as a ReLU #69
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This is a minor optimization: in my TensorFlow graphs I can see that the
clip_by_value
lambda layer is converted as two layers (a clip with a maximum and a clip with a minimum). When the minimum value is of the clip is 0, the clip is equivalent to a ReLU layer with the max argument set. The resulting output has just a single node in the final graph, if the max value is 6 it actually turns in to aReLU6
layer automatically. In my experience the clip nodes often come fromReLU6
in the original graph, so this makes for the best conversion.