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Co-authored-by: slaren <slarengh@gmail.com>
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@ -248,25 +248,25 @@ static void test_sampler_queue(const size_t n_vocab, const std::string & sampler
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samplers_sequence.c_str(), n_vocab, top_k, top_p, min_p);
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}
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#define BENCH(__cnstr, __data, __n_iter) do { \
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auto * cnstr = (__cnstr); \
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std::vector<llama_token_data> cur((__data).size()); \
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std::copy((__data).begin(), (__data).end(), cur.begin()); \
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llama_token_data_array cur_p = { cur.data(), cur.size(), -1, false }; \
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llama_sampler_apply(cnstr, &cur_p); \
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llama_sampler_reset(cnstr); \
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const int64_t t_start = ggml_time_us(); \
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const int n_iter = (__n_iter); \
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for (int i = 0; i < n_iter; i++) { \
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std::copy((__data).begin(), (__data).end(), cur.begin()); \
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llama_token_data_array cur_p = { cur.data(), cur.size(), -1, false }; \
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llama_sampler_apply(cnstr, &cur_p); \
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llama_sampler_reset(cnstr); \
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} \
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const int64_t t_end = ggml_time_us(); \
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llama_sampler_free(cnstr); \
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printf("%-42s: %8.3f us/iter\n", #__cnstr, (t_end - t_start) / (float)n_iter); \
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} while(0)
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static void bench(llama_sampler * cnstr, const char * cnstr_name, const std::vector<llama_token_data> & data, int n_iter) {
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std::vector<llama_token_data> cur(data.size());
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std::copy(data.begin(), data.end(), cur.begin());
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llama_token_data_array cur_p = { cur.data(), cur.size(), -1, false };
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llama_sampler_apply(cnstr, &cur_p);
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llama_sampler_reset(cnstr);
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const int64_t t_start = ggml_time_us();
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for (int i = 0; i < n_iter; i++) {
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std::copy(data.begin(), data.end(), cur.begin());
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llama_token_data_array cur_p = { cur.data(), cur.size(), -1, false };
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llama_sampler_apply(cnstr, &cur_p);
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llama_sampler_reset(cnstr);
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}
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const int64_t t_end = ggml_time_us();
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llama_sampler_free(cnstr);
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printf("%-42s: %8.3f us/iter\n", cnstr_name, (t_end - t_start) / (float)n_iter);
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}
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#define BENCH(__cnstr, __data, __n_iter) bench((__cnstr), #__cnstr, (__data), (__n_iter))
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static void test_perf() {
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const int n_vocab = 1 << 17;
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