Messages in this thread | | | Subject | Re: [RFC 1/1] Weighted approach to gather and use history in TEO governor | From | Pratik Sampat <> | Date | Wed, 13 May 2020 11:01:02 +0530 |
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Thanks for your comment.
On 12/05/20 11:07 pm, Peter Zijlstra wrote: > Just a quick note.. > > On Mon, May 11, 2020 at 07:40:55PM +0530, Pratik Rajesh Sampat wrote: > >> + /* >> + * Rearrange the weight distribution of the state, increase the weight >> + * by the LEARNING RATE % for the idle state that was supposed to be >> + * chosen and reduce by the same amount for rest of the states >> + * >> + * If the weights are greater than (100 - LEARNING_RATE) % or lesser >> + * than LEARNING_RATE %, do not increase or decrease the confidence >> + * respectively >> + */ >> + for (i = 0; i < drv->state_count; i++) { >> + unsigned int delta; >> + >> + if (idx == -1) >> + break; >> + if (i == idx) { >> + delta = (LEARNING_RATE * cpu_data->state_mat[last_idx][i]) / 100; > 100 is a crap number to divide by as a computer. We bio-puddings happend > to have 10 digits, so 100 makes sense to us, but it does not to our > binary friends. > > Absolutely! I just wrote the code exactly the way I did the Math on paper, definitely need to figure out an optimal way of doing things.
~Pratik
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