Messages in this thread | | | Date | Tue, 12 May 2020 19:37:22 +0200 | From | Peter Zijlstra <> | Subject | Re: [RFC 1/1] Weighted approach to gather and use history in TEO governor |
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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.
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