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ggml-quants, llama : removed excess checks (#7274)
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@ -2553,7 +2553,7 @@ void dump_string_yaml_multiline(FILE * stream, const char * prop_name, const cha
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size_t pos_start = 0;
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size_t pos_found = 0;
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if (!data_str.empty() && (std::isspace(data_str[0]) || std::isspace(data_str.back()))) {
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if (std::isspace(data_str[0]) || std::isspace(data_str.back())) {
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data_str = std::regex_replace(data_str, std::regex("\n"), "\\n");
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data_str = std::regex_replace(data_str, std::regex("\""), "\\\"");
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data_str = std::regex_replace(data_str, std::regex(R"(\\[^n"])"), R"(\$&)");
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@ -1986,7 +1986,7 @@ static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restri
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for (int j = 0; j < QK_K/16; ++j) {
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if (quant_weights) {
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const float * qw = quant_weights ? quant_weights + QK_K * i + 16*j : NULL;
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const float * qw = quant_weights + QK_K * i + 16*j;
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for (int l = 0; l < 16; ++l) weight[l] = qw[l] * sqrtf(sigma2 + x[16*j+l]*x[16*j+l]);
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} else {
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for (int l = 0; l < 16; ++l) weight[l] = x[16*j+l]*x[16*j+l];
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@ -13904,9 +13904,7 @@ llama_token llama_sample_token_mirostat(struct llama_context * ctx, llama_token_
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// Sample the next word X using top-k sampling
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llama_sample_top_k(nullptr, candidates, int(k), 1);
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if (ctx) {
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ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
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}
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ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
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llama_token X = llama_sample_token(ctx, candidates);
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t_start_sample_us = ggml_time_us();
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@ -13920,9 +13918,7 @@ llama_token llama_sample_token_mirostat(struct llama_context * ctx, llama_token_
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// Update mu using the learning rate and error
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*mu = *mu - eta * e;
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if (ctx) {
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ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
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}
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ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
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return X;
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}
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