llama : support multi-output backend sampling (#25532)
* Enable backend sampling with token speculation * Clamp the mask sum before converting it into the sampled index * Add a numeric context parameter declaring the maximum outputs one sequence * More fixes * Don't reuse memory for output views. * Match dist between CPU and GPU * Fix CPU and backend sampling mismatches * Simpify some of the changes * Fix tests on Vulkan * More test fixes * Rebase changes * Rebase and address review comments * Address review comments * Address review comments * Update src/llama-sampler.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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co-authored by
Georgi Gerganov
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d2f83055d6
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dd1ea52433
@@ -1,6 +1,7 @@
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#include "arg.h"
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#include "common.h"
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#include "sampling.h"
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#include "speculative.h"
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#include "log.h"
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#include "llama.h"
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@@ -57,6 +58,11 @@ int main(int argc, char ** argv) {
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// max number of parallel drafting sequences (i.e. tree branches)
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const int n_seq_dft = params.n_parallel;
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const auto output_limits = common_speculative_get_output_limits(
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params.n_batch, params.n_parallel, params.speculative.draft.n_max);
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params.n_outputs_max = output_limits.total;
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params.n_outputs_max_per_seq = output_limits.per_seq;
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// probability threshold for splitting a draft branch (only for n_seq_dft > 1)
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const float p_draft_split = params.speculative.draft.p_split;
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@@ -83,6 +89,8 @@ int main(int argc, char ** argv) {
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params.devices = params.speculative.draft.devices;
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params.model = params.speculative.draft.mparams;
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params.n_gpu_layers = params.speculative.draft.n_gpu_layers;
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params.n_outputs_max = params.n_parallel;
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params.n_outputs_max_per_seq = 1;
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if (params.speculative.draft.cpuparams.n_threads > 0) {
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params.cpuparams.n_threads = params.speculative.draft.cpuparams.n_threads;
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}
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