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fix trl import when not running speculative (#13187)

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* fix trl import when not running speculative

* fix style
This commit is contained in:
Ruonan Wang 2025-05-26 13:21:54 +08:00 committed by GitHub
parent c5d919b151
commit 9df610f80d
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1 changed files with 9 additions and 8 deletions
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17
python/llm/src/ipex_llm/transformers/speculative.py
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@ -50,14 +50,6 @@ from transformers import GenerationConfig, \
from ipex_llm.utils.common import log4Error from ipex_llm.utils.common import log4Error
trans_version = transformers.__version__ trans_version = transformers.__version__
if version.parse(trans_version) >= version.parse("4.39.0"):
try:
from trl.core import top_k_top_p_filtering
except ModuleNotFoundError:
log4Error.invalidInputError(False,
"For transformers version >= 4.39.0, pip install trl==0.11.0")
else:
from transformers import top_k_top_p_filtering
from ipex_llm.utils.common import invalidInputError from ipex_llm.utils.common import invalidInputError
from transformers.modeling_outputs import CausalLMOutputWithPast from transformers.modeling_outputs import CausalLMOutputWithPast
@ -164,6 +156,15 @@ def deepmind_sample(logits, return_probs: bool=False, top_k: int=50,
def logits_to_probs(logits, top_k: int=50, top_p: float=0.7, temperature: float=0.7): def logits_to_probs(logits, top_k: int=50, top_p: float=0.7, temperature: float=0.7):
invalidInputError(top_k != 1 and top_p != 0.0 and temperature != 0.0, invalidInputError(top_k != 1 and top_p != 0.0 and temperature != 0.0,
"top_k != 1 and top_p != 0.0 and temperature != 0.0 if do_sample=True") "top_k != 1 and top_p != 0.0 and temperature != 0.0 if do_sample=True")
if version.parse(trans_version) >= version.parse("4.39.0"):
try:
from trl.core import top_k_top_p_filtering
except ModuleNotFoundError:
log4Error.invalidInputError(False,
"For transformers version >= 4.39.0, "
"pip install trl==0.11.0")
else:
from transformers import top_k_top_p_filtering
_logits = top_k_top_p_filtering(logits.view(-1, logits.size(-1)) / temperature, _logits = top_k_top_p_filtering(logits.view(-1, logits.size(-1)) / temperature,
top_k=top_k, top_p=top_p) top_k=top_k, top_p=top_p)
prob_list = _logits.softmax(-1) prob_list = _logits.softmax(-1)