mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-06-19 15:52:08 +00:00
Fix fmt
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
This commit is contained in:
parent
5367d94f34
commit
809e288b5a
@ -262,15 +262,11 @@ impl Llamacpp {
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if ctx.is_null() {
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if ctx.is_null() {
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return Err(BackendError::Llamacpp("Failed to init context".to_string()));
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return Err(BackendError::Llamacpp("Failed to init context".to_string()));
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}
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}
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let vocab = unsafe {
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let vocab = unsafe { llamacpp::model_get_vocab(model) };
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llamacpp::model_get_vocab(model)
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};
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if vocab.is_null() {
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if vocab.is_null() {
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return Err(BackendError::Llamacpp("Failed to get vocab".to_string()));
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return Err(BackendError::Llamacpp("Failed to get vocab".to_string()));
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}
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}
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let n_tokens = unsafe {
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let n_tokens = unsafe { llamacpp::vocab_n_tokens(vocab) };
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llamacpp::vocab_n_tokens(vocab)
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};
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let mut logprobs = Vec::with_capacity(n_tokens as usize);
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let mut logprobs = Vec::with_capacity(n_tokens as usize);
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for token in 0..n_tokens {
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for token in 0..n_tokens {
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@ -280,16 +276,18 @@ impl Llamacpp {
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p: 0.0,
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p: 0.0,
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});
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});
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}
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}
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let batch = unsafe {
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let batch = unsafe { llamacpp::batch_init(conf.max_batch_total_tokens as _, 0, 1) };
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llamacpp::batch_init(conf.max_batch_total_tokens as _, 0, 1)
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Ok(Llamacpp {
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};
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model,
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Ok(Llamacpp{model, ctx, vocab, logprobs, batch})
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ctx,
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vocab,
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logprobs,
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batch,
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})
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}
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}
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fn decode(&mut self) -> i32 {
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fn decode(&mut self) -> i32 {
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unsafe {
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unsafe { llamacpp::decode(self.ctx, self.batch) }
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llamacpp::decode(self.ctx, self.batch)
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}
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}
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}
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fn clear_kv_cache(&mut self, seq_id: llamacpp::llama_seq_id) {
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fn clear_kv_cache(&mut self, seq_id: llamacpp::llama_seq_id) {
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@ -344,18 +342,10 @@ impl LlamacppSampler {
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error!("Failed to init sampler");
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error!("Failed to init sampler");
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return None;
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return None;
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}
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}
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let top_k = unsafe {
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let top_k = unsafe { llamacpp::sampler_init_top_k(req.top_k) };
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llamacpp::sampler_init_top_k(req.top_k)
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let top_p = unsafe { llamacpp::sampler_init_top_p(req.top_p, req.min_keep) };
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};
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let typical_p = unsafe { llamacpp::sampler_init_typical(req.typical_p, req.min_keep) };
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let top_p = unsafe {
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let temp = unsafe { llamacpp::sampler_init_temp(req.temp) };
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llamacpp::sampler_init_top_p(req.top_p, req.min_keep)
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};
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let typical_p = unsafe {
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llamacpp::sampler_init_typical(req.typical_p, req.min_keep)
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};
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let temp = unsafe {
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llamacpp::sampler_init_temp(req.temp)
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};
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let penalties = unsafe {
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let penalties = unsafe {
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llamacpp::sampler_init_penalties(
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llamacpp::sampler_init_penalties(
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req.penalty_last_n,
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req.penalty_last_n,
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@ -364,9 +354,7 @@ impl LlamacppSampler {
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req.penalty_present,
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req.penalty_present,
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)
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)
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};
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};
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let dist = unsafe {
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let dist = unsafe { llamacpp::sampler_init_dist(req.seed) };
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llamacpp::sampler_init_dist(req.seed)
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};
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let all = &[
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let all = &[
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("top_k", top_k),
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("top_k", top_k),
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("top_p", top_p),
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("top_p", top_p),
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@ -389,14 +377,12 @@ impl LlamacppSampler {
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unsafe { llamacpp::sampler_free(chain) };
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unsafe { llamacpp::sampler_free(chain) };
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None
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None
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} else {
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} else {
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Some(LlamacppSampler{chain})
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Some(LlamacppSampler { chain })
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}
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}
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}
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}
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fn sample(&self, llamacpp: &mut Llamacpp, idx: usize) -> (llamacpp::llama_token, f32) {
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fn sample(&self, llamacpp: &mut Llamacpp, idx: usize) -> (llamacpp::llama_token, f32) {
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let logits = unsafe {
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let logits = unsafe { llamacpp::get_logits_ith(llamacpp.ctx, idx as _) };
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llamacpp::get_logits_ith(llamacpp.ctx, idx as _)
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};
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for (token, logprob) in llamacpp.logprobs.iter_mut().enumerate() {
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for (token, logprob) in llamacpp.logprobs.iter_mut().enumerate() {
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*logprob = llamacpp::llama_token_data {
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*logprob = llamacpp::llama_token_data {
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id: token as _,
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id: token as _,
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@ -474,7 +460,8 @@ impl LlamacppBackend {
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let flush = |requests: &mut Vec<_>, n_tokens: &mut usize| {
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let flush = |requests: &mut Vec<_>, n_tokens: &mut usize| {
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if !requests.is_empty() {
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if !requests.is_empty() {
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let _ = sync_tx.send(replace(requests, Vec::with_capacity(conf.max_batch_size)));
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let _ =
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sync_tx.send(replace(requests, Vec::with_capacity(conf.max_batch_size)));
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*n_tokens = 0;
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*n_tokens = 0;
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}
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}
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};
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};
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@ -559,7 +546,9 @@ impl LlamacppBackend {
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warn!("llama_decode failed, clearing kv cache");
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warn!("llama_decode failed, clearing kv cache");
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llamacpp.clear_kv_cache(-1);
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llamacpp.clear_kv_cache(-1);
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for seq in seqs.iter_mut() {
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for seq in seqs.iter_mut() {
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let _ = requests[seq.id].tx.send(Err(InferError::IncompleteGeneration));
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let _ = requests[seq.id]
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.tx
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.send(Err(InferError::IncompleteGeneration));
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seq.running = false;
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seq.running = false;
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}
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}
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break;
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break;
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@ -576,7 +565,9 @@ impl LlamacppBackend {
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Ok(piece) => piece,
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Ok(piece) => piece,
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Err(e) => {
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Err(e) => {
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error!("Failed to decode token: {e}");
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error!("Failed to decode token: {e}");
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let _ = requests[seq.id].tx.send(Err(InferError::IncompleteGeneration));
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let _ = requests[seq.id]
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.tx
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.send(Err(InferError::IncompleteGeneration));
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seq.running = false;
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seq.running = false;
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continue;
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continue;
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}
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}
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@ -617,7 +608,9 @@ impl LlamacppBackend {
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seq.running = false;
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seq.running = false;
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continue;
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continue;
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}
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}
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let _ = requests[seq.id].tx.send(Ok(InferStreamResponse::Intermediate {
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let _ = requests[seq.id]
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.tx
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.send(Ok(InferStreamResponse::Intermediate {
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token,
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token,
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top_tokens: vec![],
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top_tokens: vec![],
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}));
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}));
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@ -627,7 +620,8 @@ impl LlamacppBackend {
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for seq in seqs.iter_mut() {
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for seq in seqs.iter_mut() {
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if seq.running {
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if seq.running {
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seq.batch_pos = llamacpp.batch_push(seq.token, seq.pos, seq.id as _, true);
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seq.batch_pos =
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llamacpp.batch_push(seq.token, seq.pos, seq.id as _, true);
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seq.pos += 1;
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seq.pos += 1;
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} else {
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} else {
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llamacpp.clear_kv_cache(seq.id as _);
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llamacpp.clear_kv_cache(seq.id as _);
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@ -636,7 +630,14 @@ impl LlamacppBackend {
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}
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}
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}
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}
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});
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});
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(Self{tx, status: status_rx}, ok_rx, shutdown_tx)
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(
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Self {
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tx,
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status: status_rx,
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},
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ok_rx,
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shutdown_tx,
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)
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}
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}
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}
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}
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