search for: ir2native

...on, model training, and iterative data collection/model training. We use TensorFlow as our ML framework. Related, we also needed to learn a separate model to evaluate the native size of a function, given its IR, in order to calculate a more precise reward for the reinforcement learning algorithm (“IR2Native”). We evaluated ‘just counting IR’ and TargetTransformInfo, but they appeared to provide too noisy of a signal for the reward, insofar as the RL training algorithm for the inlining model was concerned. This model is only used during training. RL - Training data collection: the training data we nee...

...ining. We use > TensorFlow > > as our ML framework. > > > > Related, we also needed to learn a separate model to evaluate the native > > size of a function, given its IR, in order to calculate a more precise > > reward for the reinforcement learning algorithm (“IR2Native”). We > evaluated > > ‘just counting IR’ and TargetTransformInfo, but they appeared to provide > > too noisy of a signal for the reward, insofar as the RL training > algorithm > > for the inlining model was concerned. This model is only used during > > training. &g...

...ur ML framework. >>> > >>> > Related, we also needed to learn a separate model to evaluate the >>> native >>> > size of a function, given its IR, in order to calculate a more precise >>> > reward for the reinforcement learning algorithm (“IR2Native”). We >>> evaluated >>> > ‘just counting IR’ and TargetTransformInfo, but they appeared to >>> provide >>> > too noisy of a signal for the reward, insofar as the RL training >>> algorithm >>> > for the inlining model was concerned. T...

...gt; > Related, we also needed to learn a separate model to evaluate the >>>>> native >>>>> > size of a function, given its IR, in order to calculate a more >>>>> precise >>>>> > reward for the reinforcement learning algorithm (“IR2Native”). We >>>>> evaluated >>>>> > ‘just counting IR’ and TargetTransformInfo, but they appeared to >>>>> provide >>>>> > too noisy of a signal for the reward, insofar as the RL training >>>>> algorithm >>>>&g...