Add extrapolation to fork module #68
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elftausend
requested changes
Nov 16, 2024
| // Extrapolate if input is outside known range | ||
| if input_lengths_sum < anals.first().unwrap().input_lengths.iter().sum::<usize>() { | ||
| let lhs = &anals[0]; | ||
| let rhs = &anals[1]; |
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At this stage, there could be only a single analyzation in the vector. Therefore, this can panic
| let rhs = &anals[1]; | ||
| return self.extrapolate_and_execute(lhs, rhs, input_lengths_sum, cpu_op, gpu_op); | ||
| } else if input_lengths_sum > anals.last().unwrap().input_lengths.iter().sum::<usize>() { | ||
| let lhs = &anals[anals.len() - 2]; |
| @@ -81,6 +115,18 @@ impl<Mods> UseGpuOrCpu for Fork<Mods> { | |||
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| let input_lengths_sum = input_lengths.iter().sum::<usize>(); | |||
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| // Extrapolate if input is outside known range | |||
| if input_lengths_sum < anals.first().unwrap().input_lengths.iter().sum::<usize>() { | |||
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There is no chance to add new data points as the interpolation step takes any two analyzations (lhs, rhs) where the new analyzation (x) input size sum is lhs_input_sum <= x_input_sum <= rhs_input_sum.
Hence the max analyzations amount would be 2 ig
| @@ -90,10 +136,14 @@ impl<Mods> UseGpuOrCpu for Fork<Mods> { | |||
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| if input_lengths_sum >= input_lengths_lhs && input_lengths_sum <= input_lengths_rhs { | |||
| let new_cpu_dur = lhs.cpu_dur.as_secs_f32() | |||
| + 0.5 * (rhs.cpu_dur.as_secs_f32() - lhs.cpu_dur.as_secs_f32()); | |||
| + (input_lengths_sum - input_lengths_lhs) as f32 | |||
| / (input_lengths_rhs - input_lengths_lhs) as f32 | |||
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could leave this factor at 0.5
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