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sampling: add Top-nσ sampler (#11223)

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* initial sampling changes:

* completed top nsigma sampler implementation

* apply parameter to only llama-cli

* updated readme

* added tests and fixed nsigma impl

* cleaned up pr

* format

* format

* format

* removed commented tests

* cleanup pr and remove explicit floats

* added top-k sampler to improve performance

* changed sigma to float

* fixed string format to float

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update common/sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* added llama_sampler_init

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Vinesh Janarthanan
2025-02-13 00:45:57 -06:00
committed by GitHub
parent e4376270d9
commit 27e8a23300
7 changed files with 147 additions and 40 deletions
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15
tests/test-sampling.cpp
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@ -181,6 +181,17 @@ static void test_dry(
tester.check();
}
static void test_top_n_sigma(const std::vector<float> & probs, const std::vector<float> & probs_expected, int n) {
sampler_tester tester(probs, probs_expected);
DUMP(&tester.cur_p);
tester.apply(llama_sampler_init_top_n_sigma(n));
tester.apply(llama_sampler_init_dist (0));
DUMP(&tester.cur_p);
tester.check();
}
static void test_sampler_queue(const size_t n_vocab, const std::string & samplers_sequence, const int top_k, const float top_p, const float min_p
) {
sampler_tester tester(n_vocab);
@ -348,6 +359,10 @@ int main(void) {
test_dry({0.2f, 0.2f, 0.2f, 0.2f, 0.2f}, {0, 1, 2, 0, 1}, {0.241818f, 0.241818f, 0.241818f, 0.241818f, 0.032727f}, 2.0f, 1.1f, 2, 5, {});
test_dry({0.2f, 0.2f, 0.2f, 0.2f, 0.2f}, {0, 1, 2, 3, 4, 0, 1}, {0.2f, 0.2f, 0.2f, 0.2f, 0.2f}, 1.0f, 1.1f, 4, 7, {});
test_top_n_sigma({0.1f, 0.2f, 0.3f, 0.4f}, {0.571429f, 0.428571f, 0.0f, 0.0f}, 1.00f);
test_top_n_sigma({0.1f, 0.2f, 0.3f, 0.4f}, {1.0f, 0.0f, 0.0f, 0.0f}, 0.00f);
test_top_n_sigma({0.1f, 0.2f, 0.3f, 0.4f}, {0.4f, 0.3f, 0.2f, 0.1f}, 3.00f);
test_sampler_queue(10000, "k", 10000, 1.0f, 1.0f);
test_sampler_queue(10000, "k", 1, 1.0f, 1.0f);
test_sampler_queue(10000, "p", 10000, 1.0f, 1.0f);