Wondering if anyone else has observed this. I have 128GB RAM computer and trying to optimize ~6 parameters. Initially the function call triggers the child function and next set of parameters within a few seconds, but progressively the 300th iteration spaces out at 4-5 hours. So what I find is that bulk of time is spent in generating the next param set and hardly any time is spent in child process. Is an awful waste of GPU time that is mostly sitting idle waiting for the next set of params. Is the computation within the BayesianOptimization really so CPU-intensive? Can it be improved?
Wondering if anyone else has observed this. I have 128GB RAM computer and trying to optimize ~6 parameters. Initially the function call triggers the child function and next set of parameters within a few seconds, but progressively the 300th iteration spaces out at 4-5 hours. So what I find is that bulk of time is spent in generating the next param set and hardly any time is spent in child process. Is an awful waste of GPU time that is mostly sitting idle waiting for the next set of params. Is the computation within the BayesianOptimization really so CPU-intensive? Can it be improved?