sampler : remove "full-context windows" from history-based samplers (#26524)
* Resolve -1 to 1024 instead of ctx-len for samplers Because of backend-sampling we initialize samplers before the complete llama_context is there. Therefore, we cannot infer the resolved context length yet at the time we construct the samplers. * Shared default of 64 for history-based samplers, remove context_size
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@@ -101,6 +101,14 @@ static void test(void) {
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{
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common_params penalty_params;
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assert(penalty_params.sampling.penalty_last_n == 64);
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assert(penalty_params.sampling.dry_penalty_last_n == 64);
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argv = {"binary_name", "--repeat-last-n", "-1"};
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assert(false == common_params_parse(argv.size(), list_str_to_char(argv).data(), penalty_params, LLAMA_EXAMPLE_COMMON));
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argv = {"binary_name", "--dry-penalty-last-n", "-1"};
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assert(false == common_params_parse(argv.size(), list_str_to_char(argv).data(), penalty_params, LLAMA_EXAMPLE_COMMON));
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argv = {"binary_name", "--repeat-penalty", "0"};
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assert(false == common_params_parse(argv.size(), list_str_to_char(argv).data(), penalty_params, LLAMA_EXAMPLE_COMMON));
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@@ -10,7 +10,7 @@
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#include <string>
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#include <vector>
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extern struct llama_sampler * llama_sampler_init_dry_testing(int32_t context_size, float dry_multiplier, float dry_base, int32_t dry_allowed_length, int32_t dry_penalty_last_n, const std::vector<std::vector<llama_token>>& seq_breakers);
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extern struct llama_sampler * llama_sampler_init_dry_testing(float dry_multiplier, float dry_base, int32_t dry_allowed_length, int32_t dry_penalty_last_n, const std::vector<std::vector<llama_token>>& seq_breakers);
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static void dump(const llama_token_data_array * cur_p) {
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for (size_t i = 0; i < cur_p->size; i++) {
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@@ -168,7 +168,7 @@ static void test_dry(
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sampler_tester tester(probs, expected_probs);
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auto * sampler = llama_sampler_init_dry_testing(1024, dry_multiplier, dry_base, dry_allowed_length, dry_penalty_last_n, seq_breakers);
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auto * sampler = llama_sampler_init_dry_testing(dry_multiplier, dry_base, dry_allowed_length, dry_penalty_last_n, seq_breakers);
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for (size_t i = 0; i < last_tokens.size(); i++) {
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llama_sampler_accept(sampler, last_tokens[i]);
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