Fix ctypes typing issue for Arrays
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parent
1545b22727
commit
670d390001
1 changed files with 6 additions and 14 deletions
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@ -1,14 +1,6 @@
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import ctypes
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from ctypes import (
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c_int,
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c_float,
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c_char_p,
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c_void_p,
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c_bool,
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POINTER,
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Structure,
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)
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from ctypes import c_int, c_float, c_char_p, c_void_p, c_bool, POINTER, Structure, Array
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import pathlib
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from itertools import chain
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@ -116,7 +108,7 @@ _lib.llama_model_quantize.restype = c_int
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# Returns 0 on success
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def llama_eval(
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ctx: llama_context_p,
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tokens: ctypes.Array[llama_token],
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tokens, # type: Array[llama_token]
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n_tokens: c_int,
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n_past: c_int,
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n_threads: c_int,
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@ -136,7 +128,7 @@ _lib.llama_eval.restype = c_int
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def llama_tokenize(
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ctx: llama_context_p,
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text: bytes,
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tokens: ctypes.Array[llama_token],
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tokens, # type: Array[llama_token]
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n_max_tokens: c_int,
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add_bos: c_bool,
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) -> c_int:
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@ -176,7 +168,7 @@ _lib.llama_n_embd.restype = c_int
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# Can be mutated in order to change the probabilities of the next token
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# Rows: n_tokens
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# Cols: n_vocab
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def llama_get_logits(ctx: llama_context_p) -> ctypes.Array[c_float]:
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def llama_get_logits(ctx: llama_context_p):
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return _lib.llama_get_logits(ctx)
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@ -186,7 +178,7 @@ _lib.llama_get_logits.restype = POINTER(c_float)
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# Get the embeddings for the input
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# shape: [n_embd] (1-dimensional)
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def llama_get_embeddings(ctx: llama_context_p) -> ctypes.Array[c_float]:
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def llama_get_embeddings(ctx: llama_context_p):
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return _lib.llama_get_embeddings(ctx)
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@ -224,7 +216,7 @@ _lib.llama_token_eos.restype = llama_token
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# TODO: improve the last_n_tokens interface ?
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def llama_sample_top_p_top_k(
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ctx: llama_context_p,
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last_n_tokens_data: ctypes.Array[llama_token],
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last_n_tokens_data, # type: Array[llama_token]
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last_n_tokens_size: c_int,
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top_k: c_int,
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top_p: c_float,
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