fix: Use numpy recarray for candidates data, fixes bug with temp < 0
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2d89964147
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1 changed files with 9 additions and 13 deletions
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@ -545,13 +545,12 @@ class _LlamaBatch:
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class _LlamaTokenDataArray:
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def __init__(self, *, n_vocab: int):
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self.n_vocab = n_vocab
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self.candidates_data = np.array(
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[],
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self.candidates_data = np.recarray(
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(self.n_vocab,),
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dtype=np.dtype(
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[("id", np.intc), ("logit", np.single), ("p", np.single)], align=True
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),
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)
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self.candidates_data.resize(3, self.n_vocab, refcheck=False)
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self.candidates = llama_cpp.llama_token_data_array(
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data=self.candidates_data.ctypes.data_as(llama_cpp.llama_token_data_p),
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size=self.n_vocab,
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@ -561,14 +560,11 @@ class _LlamaTokenDataArray:
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self.default_candidates_data_p = np.zeros(self.n_vocab, dtype=np.single)
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def copy_logits(self, logits: npt.NDArray[np.single]):
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self.candidates_data["id"][:] = self.default_candidates_data_id
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self.candidates_data["logit"][:] = logits
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self.candidates_data["p"][:] = self.default_candidates_data_p
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self.candidates.data = self.candidates_data.ctypes.data_as(
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llama_cpp.llama_token_data_p
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)
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self.candidates.sorted = ctypes.c_bool(False)
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self.candidates.size = ctypes.c_size_t(self.n_vocab)
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self.candidates_data.id[:] = self.default_candidates_data_id
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self.candidates_data.logit[:] = logits
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self.candidates_data.p[:] = self.default_candidates_data_p
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self.candidates.sorted = False
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self.candidates.size = self.n_vocab
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# Python wrappers over common/common
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@ -759,14 +755,14 @@ class _LlamaSamplingContext:
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self.params.penalty_present,
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)
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if not self.params.penalize_nl:
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token_data_array.candidates_data["logit"][nl_token] = nl_logit
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token_data_array.candidates_data.logit[nl_token] = nl_logit
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if self.grammar is not None:
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ctx_main.sample_grammar(token_data_array, self.grammar)
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if self.params.temp < 0:
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ctx_main.sample_softmax(token_data_array)
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id = token_data_array.candidates_data["id"][0]
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id = token_data_array.candidates_data.id[0]
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elif self.params.temp == 0:
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id = ctx_main.sample_token_greedy(token_data_array)
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else:
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